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https://github.com/mikeroyal/SQL-NoSQL-Guide

SQL/NoSQL DB Guide. Learn about SQL/NoSQL databases & Distributed Systems.
https://github.com/mikeroyal/SQL-NoSQL-Guide

awesome awesome-list aws-database azure-database database databases language-server-protocol microsoft-sql-server mongodb mongodb-database nosql nosql-data-storage nosql-database nosql-databases postgresql postgresql-database sql-database-management sql-databases sql-server sqlite

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SQL/NoSQL DB Guide. Learn about SQL/NoSQL databases & Distributed Systems.

Host: GitHub
URL: https://github.com/mikeroyal/SQL-NoSQL-Guide
Owner: mikeroyal
Created: 2020-09-13T18:08:50.000Z (about 4 years ago)
Default Branch: master
Last Pushed: 2024-01-04T22:22:22.000Z (9 months ago)
Last Synced: 2024-05-23T07:34:30.586Z (4 months ago)
Topics: awesome, awesome-list, aws-database, azure-database, database, databases, language-server-protocol, microsoft-sql-server, mongodb, mongodb-database, nosql, nosql-data-storage, nosql-database, nosql-databases, postgresql, postgresql-database, sql-database-management, sql-databases, sql-server, sqlite
Language: Go
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Stars: 57
Watchers: 6
Forks: 12
Open Issues: 0
Metadata Files:
- Readme: README.md

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ultimate-awesome - SQL-NoSQL-Guide - SQL/NoSQL DB Guide. Learn about SQL/NoSQL databases & Distributed Systems. (Other Lists / PowerShell Lists)

README

SQL/NoSQL DB Guide

![Maintenance](https://img.shields.io/maintenance/yes/2024?style=for-the-badge)
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#### A guide covering SQL/NoSQL including the applications and tools that will make you a better and more efficient SQL/NoSQL developer.

**Note: You can easily convert this markdown file to a PDF in [VSCode](https://code.visualstudio.com/) using this handy extension [Markdown PDF](https://marketplace.visualstudio.com/items?itemName=yzane.markdown-pdf).**

# Table of Contents

1. [SQL/NoSQL Learning Resources](https://github.com/mikeroyal/SQL-NoSQL-Guide#sqlnosql-learning-resources)

- [SQL](https://github.com/mikeroyal/SQL-NoSQL-Guide#sql-learning-resources)
- [NoSQL](https://github.com/mikeroyal/SQL-NoSQL-Guide#nosql-learning-resources)
- [Distributed Systems](https://github.com/mikeroyal/SQL-NoSQL-Guide#distributed-systems-learning-resources)
- [Parallel Systems](https://github.com/mikeroyal/SQL-NoSQL-Guide#parallel-systems-learning-resources)

2. [ SQL/NoSQL Tools and Databases](https://github.com/mikeroyal/SQL-NoSQL-Guide#sqlnosql-tools-and-databases)

- [SQL](https://github.com/mikeroyal/SQL-NoSQL-Guide#sql-tools)
- [NoSQL](https://github.com/mikeroyal/SQL-NoSQL-Guide#nosql-tools)
- [Distributed Systems](https://github.com/mikeroyal/SQL-NoSQL-Guide#distributed-systems-tools)
- [Parallel Systems](https://github.com/mikeroyal/SQL-NoSQL-Guide#parallel-systems-tools)

# SQL/NoSQL Learning Resources

## SQL Learning Resources
[Back to the Top](https://github.com/mikeroyal/SQL-NoSQL-Guide#table-of-contents)

[SQL](https://en.wikipedia.org/wiki/SQL) is a standard language for storing, manipulating and retrieving data in relational databases.

[Transact-SQL(T-SQL)](https://docs.microsoft.com/en-us/sql/t-sql/language-reference) is a Microsoft extension of SQL with all of the tools and applications communicating to a SQL database by sending T-SQL commands.

[PL/SQL](https://www.oracle.com/database/technologies/appdev/plsql.html) is a procedural language designed specifically to embrace SQL statements within its syntax. PL/SQL program units are compiled by the Oracle Database server and stored inside the database.

[Online Analytical Processing (OLAP)](https://support.microsoft.com/en-us/office/overview-of-online-analytical-processing-olap-15d2cdde-f70b-4277-b009-ed732b75fdd6) is a technology that is used to organize large business databases and support business intelligence.

[Decision Support System (DSS)](https://corporatefinanceinstitute.com/resources/knowledge/other/decision-support-system-dss/) is a information system used to help in decision-making activities in an organization or a business by analyzing large datasets. It compiles the information that can be used to solve problems and make better decisions.

### SQL Courses & Tutorials

- [Learn & Practice SQL Courses | LearnSQL](https://learnsql.com/)

- [SQL-Books(PDFs)](https://github.com/manjunath5496/SQL-Books)

- [Database Books(PDFs)](https://github.com/miollek/Free-Database-Books)

- [Intro to SQL: Querying and managing data | Khan Academy](https://www.khanacademy.org/computing/computer-programming/sql/)

- [Top PostgreSQL Courses | Coursera](https://www.coursera.org/courses?query=postgresql)

- [Top PostgreSQL Courses Online | Udemy](https://www.udemy.com/topic/postgresql/)

- [PostgreSQL: Tutorials & Other Resources](https://www.postgresql.org/docs/online-resources/)

- [PostgreSQL Administration/development tools](https://www.postgresql.org/download/products/1-administrationdevelopment-tools/)

- [MySQL Training from Oracle University](https://www.mysql.com/training/)

- [Top MySQL Courses | Coursera](https://www.coursera.org/courses?query=mysql)

- [Top Free MySQL Courses & Tutorials Online | Udemy](https://www.udemy.com/topic/mysql/free/)

- [MySQL Certifications](https://www.mysql.com/certification/)

- [Top Microsoft SQL Courses Online | Udemy](https://www.udemy.com/topic/microsoft-sql/)

- [Microsoft SQL Crash Course for Absolute Beginners | Udemy](https://www.udemy.com/course/complete-microsoft-sql-server-beginner-expert/)

- [Introduction to Transact-SQL | Microsoft Learn](https://docs.microsoft.com/en-us/learn/modules/introduction-to-transact-sql/)

- [Get Started Querying with Transact-SQL | Microsoft Learn](https://docs.microsoft.com/en-us/learn/paths/get-started-querying-with-transact-sql/)

- [Azure SQL fundamentals | Microsoft Learn](https://docs.microsoft.com/en-us/learn/paths/azure-sql-fundamentals/)

- [Educational Microsoft Azure SQL resources](https://docs.microsoft.com/en-us/sql/sql-server/educational-sql-resources?view=sql-server-ver15)

- [SQL Tutorial by W3Schools](https://www.w3schools.com/sql/)

- [Learn SQL Skills Online from Coursera](https://www.coursera.org/courses?query=sql)

- [SQL Courses Online from Udemy](https://www.udemy.com/topic/sql/)

- [SQL Online Training Courses from LinkedIn Learning](https://www.linkedin.com/learning/topics/sql)

- [Learn SQL For Free from Codecademy](https://www.codecademy.com/learn/learn-sql)

- [GitLab's SQL Style Guide](https://about.gitlab.com/handbook/business-ops/data-team/platform/sql-style-guide/)

- [OracleDB SQL Style Guide Basics](https://oracle.readthedocs.io/en/latest/sql/basics/style-guide.html)

- [Databases on AWS](https://aws.amazon.com/products/databases/)

- [Best Practices and Recommendations for SQL Server Clustering in AWS EC2.](https://docs.aws.amazon.com/AWSEC2/latest/WindowsGuide/aws-sql-clustering.html)

- [Connecting from Google Kubernetes Engine to a Cloud SQL instance.](https://cloud.google.com/sql/docs/mysql/connect-kubernetes-engine)

- [Tableau CRM: BI Software and Tools](https://www.salesforce.com/products/crm-analytics/overview/)

## NoSQL Learning Resources
[Back to the Top](https://github.com/mikeroyal/SQL-NoSQL-Guide#table-of-contents)

[NoSQL](https://www.ibm.com/cloud/blog/sql-vs-nosql) is a database that is interchangeably referred to as "nonrelational, or "non-SQL" to highlight that the database can handle huge volumes of rapidly changing, unstructured data in different ways than a relational (SQL-based) database with rows and tables.

### Courses & Tutorials

- [SQL vs. NoSQL Databases: What's the Difference?](https://www.ibm.com/cloud/blog/sql-vs-nosql)

- [What is NoSQL?](https://aws.amazon.com/nosql/)

- [NoSQL Database Cloud Training and Certification | Oracle University](https://education.oracle.com/en/learning-paths/product_694)

- [Getting Started with Amazon DynamoDB](https://aws.amazon.com/dynamodb/getting-started/)

- [Amazon DynamoDB for Serverless Architectures Online Course | AWS Training & Certification](https://www.amazon.com/DynamoDB-Serverless-Architectures-Training-Certification/dp/B09HSLS63G)

- [Getting Started with Amazon SimpleDB](https://aws.amazon.com/simpledb/getting-started/)

- [Scylla University | NoSQL Database Courses](https://university.scylladb.com/)

- [Top Nosql Courses | Coursera](https://www.coursera.org/courses?query=nosql)

- [Learn NoSQL with Online Courses | edX](https://www.edx.org/learn/nosql)

- [NoSQL Database Basics | edX](https://www.edx.org/course/nosql-basics)

- [Top NoSQL Courses Online | Udemy](https://www.udemy.com/topic/nosql/)

- [NoSQl Lecture(PDF) | University of Washington](https://courses.cs.washington.edu/courses/csep544/11au/lectures/lecture10-nosql.pdf)

- [NoSQL Databases Course | FreeCodeCamp](https://www.freecodecamp.org/news/learn-nosql-in-3-hours/)

## Distributed Systems Learning Resources
[Back to the Top](https://github.com/mikeroyal/SQL-NoSQL-Guide#table-of-contents)

[Distributed System](https://www.splunk.com/en_us/data-insider/what-are-distributed-systems.html) is a computing environment in which various components are spread across multiple computers (or other computing devices) on a network. These devices split up the work, coordinating their efforts to complete the job more efficiently than if a single device had been responsible for the task. There are four different basic architecture models:

1. [Client-server](https://en.wikipedia.org/wiki/Client%E2%80%93server_model) is a system where clients contact the server for data, then format it and display it to the end-user. The end-user can also make a change from the client-side and commit it back to the server to make it permanent.

2. [Three-tier](https://www.ibm.com/cloud/learn/three-tier-architecture) is a software application architecture that organizes applications into three logical and physical computing tiers: the presentation tier, or user interface; the application tier, where data is processed; and the data tier, where the data associated with the application is stored and managed.

3. [n-tier](https://docs.microsoft.com/en-us/azure/architecture/guide/architecture-styles/n-tier) is a system that does separate processing into discrete tiers that are distributed between the client and the server. When you develop applications that access data, you should have a clear separation between the various tiers that make up the application.

4. [Peer-to-peer](https://en.wikipedia.org/wiki/Peer-to-peer) is a system where are no additional machines used to provide services or manage resources. Responsibilities are uniformly distributed among machines in the system, known as peers, which can serve as either client or server.

**Architecture of a Distributed Database System. Source: [ResearchGate](https://www.researchgate.net/figure/Architecture-of-a-Distributed-Database-System_fig1_330485258)**

### Distributed Systems Courses & Tutorials

- [Top Distributed Systems Courses Online | Coursera](https://www.coursera.org/courses?query=distributed%20systems)

- [Distributed Systems Online | Stanford Online](https://online.stanford.edu/courses/cs244b-distributed-systems)

- [Top Distributed Computing Courses Online | Udemy](https://www.udemy.com/topic/distributed-computing/)

- [Distributed Systems & Cloud Computing with Java | Udemy](https://www.udemy.com/course/distributed-systems-cloud-computing-with-java/)

- [Introduction to Distributed Systems | University of Washington](https://courses.cs.washington.edu/courses/cse490h/07wi/readings/IntroductionToDistributedSystems.pdf)

- [Distributed Systems - University of Wisconsin-Madison](https://pages.cs.wisc.edu/~remzi/OSTEP/dist-intro.pdf)

- [A Thorough Introduction to Distributed Systems | FreeCodeCamp](https://www.freecodecamp.org/news/a-thorough-introduction-to-distributed-systems-3b91562c9b3c/)

- [Introduction to Distributed Systems | UPenn](https://www.cis.upenn.edu/~lee/03cse380/lectures/ln19-ds-v3.4pp.pdf)

-[Distribution System Certificate Program Online | ASU](https://ce.arizona.edu/classes/distribution-system-certificate)

## Parallel Systems Learning Resources
[Back to the Top](https://github.com/mikeroyal/SQL-NoSQL-Guide#table-of-contents)

[Parallel Computing](https://en.wikipedia.org/wiki/Parallel_computing) is a computing environment in which two or more processors (cores, computers) work simultaneously to solve a single problem. Where large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: [bit-level](https://en.wikipedia.org/wiki/Bit-level_parallelism), [instruction-level](https://en.wikipedia.org/wiki/Instruction-level_parallelism), [data](https://en.wikipedia.org/wiki/Data_parallelism), and [task parallelism](https://en.wikipedia.org/wiki/Task_parallelism).

### Parallel Systems Courses & Tutorials

- [Accelerated Computing - Training | NVIDIA Developer](https://developer.nvidia.com/accelerated-computing-training)

- [Fundamentals of Accelerated Computing with CUDA Python Course | NVIDIA](https://courses.nvidia.com/courses/course-v1:DLI+C-AC-02+V1/about)

- [Top Parallel Computing Courses Online | Coursera](https://www.coursera.org/courses?languages=en&query=parallel%20computing)

- [Top Parallel Computing Courses Online | Udemy](https://www.udemy.com/courses/search/?q=parallel+computation&src=sac&kw=parallel+comput)

- [Scientific Computing Masterclass: Parallel and Distributed](https://www.udemy.com/course/learn-to-use-hpc-systems-and-supercomputers/)

- [Learn Parallel Computing in Python | Udemy](https://www.udemy.com/course/parallel-computing-in-python/)

- [GPU computing in Vulkan | Udemy](https://www.udemy.com/course/vulkan-gpu-computing/)

- [High Performance Computing Courses | Udacity ](https://www.udacity.com/course/high-performance-computing--ud281)

- [Parallel Computing Courses | Stanford Online](https://online.stanford.edu/courses/cs149-parallel-computing)

- [Parallel Computing | MIT OpenCourseWare](https://ocw.mit.edu/courses/mathematics/18-337j-parallel-computing-fall-2011/)

- [Multithreaded Parallelism: Languages and Compilers | MIT OpenCourseWare](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-827-multithreaded-parallelism-languages-and-compilers-fall-2002/)

- [Parallel Computing with CUDA | Pluralsight](https://www.pluralsight.com/courses/parallel-computing-cuda)

- [HPC Architecture and System Design | Intel](https://www.intel.com/content/www/us/en/high-performance-computing/hpc-architecture.html)

# SQL/NoSQL Tools and Databases

# SQL Tools
[Back to the Top](https://github.com/mikeroyal/SQL-NoSQL-Guide#table-of-contents)

[Azure Data Studio](https://github.com/Microsoft/azuredatastudio) is an open source data management tool that enables working with SQL Server, Azure SQL DB and SQL DW from Windows, macOS and Linux.

[Azure SQL Database](https://azure.microsoft.com/en-us/services/sql-database/) is the intelligent, scalable, relational database service built for the cloud. It’s evergreen and always up to date, with AI-powered and automated features that optimize performance and durability for you. Serverless compute and Hyperscale storage options automatically scale resources on demand, so you can focus on building new applications without worrying about storage size or resource management.

[Azure SQL Managed Instance](https://azure.microsoft.com/en-us/services/azure-sql/sql-managed-instance/) is a fully managed SQL Server Database engine instance that's hosted in Azure and placed in your network. This deployment model makes it easy to lift and shift your on-premises applications to the cloud with very few application and database changes. Managed instance has split compute and storage components.

[MSSQL for Visual Studio Code](https://marketplace.visualstudio.com/items?itemName=ms-mssql.mssql) is an extension for developing Microsoft SQL Server, Azure SQL Database and SQL Data Warehouse everywhere with a rich set of functionalities.

[SQL Server Data Tools (SSDT)](https://docs.microsoft.com/en-us/sql/ssdt/download-sql-server-data-tools-ssdt) is a development tool for building SQL Server relational databases, Azure SQL Databases, Analysis Services (AS) data models, Integration Services (IS) packages, and Reporting Services (RS) reports. With SSDT, a developer can design and deploy any SQL Server content type with the same ease as they would develop an application in Visual Studio or Visual Studio Code.

[Bulk Copy Program](https://docs.microsoft.com/en-us/sql/tools/bcp-utility) is a command-line tool that comes with Microsoft SQL Server. BCP, allows you to import and export large amounts of data in and out of SQL Server databases quickly snd efficeiently.

[SQL Server Migration Assistant](https://www.microsoft.com/en-us/download/details.aspx?id=54258) is a tool from Microsoft that simplifies database migration process from Oracle to SQL Server, Azure SQL Database, Azure SQL Database Managed Instance and Azure SQL Data Warehouse.

[SQL Server Integration Services](https://docs.microsoft.com/en-us/sql/integration-services/sql-server-integration-services?view=sql-server-ver15) is a development platform for building enterprise-level data integration and data transformations solutions. Use Integration Services to solve complex business problems by copying or downloading files, loading data warehouses, cleansing and mining data, and managing SQL Server objects and data.

[SQL Server Business Intelligence(BI)](https://www.microsoft.com/en-us/sql-server/sql-business-intelligence) is a collection of tools in Microsoft's SQL Server for transforming raw data into information businesses can use to make decisions.

[MySQL](https://www.mysql.com/) is a fully managed database service to deploy cloud-native applications using the world's most popular open source database.

[PostgreSQL](https://www.postgresql.org/) is a powerful, open source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance.

[PostgREST](https://github.com/PostgREST/postgrest) is a tool that serves a fully RESTful API from any existing PostgreSQL database. It provides a cleaner, more standards-compliant, faster API than you are likely to write from scratch.

[OmniDB](https://github.com/OmniDB/OmniDB) is a web-based tool for database management.

[Navicat](https://www.navicat.com/) is a series of graphical database management and development software produced by CyberTech Ltd. for MySQL, MariaDB, MongoDB, Oracle, SQLite, PostgreSQL and Microsoft SQL Server.

[TablePlus](https://tableplus.com/) is a modern, native tool with elegant UI that allows you to simultaneously manage multiple databases such as MySQL, PostgreSQL, SQLite, Microsoft SQL Server and more.

[HeidiSQL](https://www.heidisql.com/) is free software, and has the aim to be easy to learn. It lets you see and edit data and structures from computers running one of the database systems MariaDB, MySQL, Microsoft SQL, PostgreSQL and SQLite.

[Beekeeper Studio](https://www.beekeeperstudio.io/) is a cross-platform SQL editor and database manager(MySQL, Postgres, SQLite, SQL Server, and more.) available for Linux, Mac, and Windows.

[UI Bakery](https://uibakery.io/) is a web-based low-code internal tool builder. It can visualize the data pulled from PostgreSQL, MongoDB, MySQL, MicrosoftSQL, Redis.

[IBM DB2](https://www.ibm.com/analytics/db2) is a collection of hybrid data management products offering a complete suite of AI-empowered capabilities designed to help you manage both structured and unstructured data on premises as well as in private and public cloud environments. Db2 is built on an intelligent common SQL engine designed for scalability and flexibility.

[OracleDB](https://www.oracle.com/database/) is a powerful fully managed database helps developers manage business-critical data with the highest availability, reliability, and security.

[MariaDB](https://mariadb.com/) is an enterprise open source database solution for modern, mission-critical applications.

[EventQL](https://eventql.io/documentation/) is a distributed, analytical database. It allows you to store massive amounts of structured data and explore it using SQL and other programmatic query facilities.

[CockroachDB](https://www.cockroachlabs.com/docs/stable/) is the SQL database for building global, scalable cloud services that survive disasters.

[SQLite](https://sqlite.org/index.html) is a C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine.SQLite is the most used database engine in the world. SQLite is built into all mobile phones and most computers and comes bundled inside countless other applications that people use every day.

[SQLite Database Browser](https://sqlitebrowser.org/) is an open source SQL tool that allows users to create, design and edits SQLite database files. It lets users show a log of all the SQL commands that have been issued by them and by the application itself.

[TimescaleDB](https://github.com/timescale/timescaledb) is an open-source database designed to make SQL scalable for time-series data. It is engineered up from PostgreSQL and packaged as a PostgreSQL extension, providing automatic partitioning across time and space (partitioning key), as well as full SQL support.

[InfluxDB](https://www.influxdata.com/) is an open source time series platform. This includes APIs for storing and querying data, processing it in the background for [ETL](https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl) or monitoring and alerting purposes, user dashboards, Internet of Things sensor data, and visualizing and exploring the data and more. It also has support for processing data from [Graphite](http://graphiteapp.org/).

[Atlas](https://github.com/Netflix/atlas) is an in-memory dimensional [time series database](https://en.wikipedia.org/wiki/Time_series_database).

[dbWatch](https://www.dbwatch.com/) is a complete database monitoring/management solution for SQL Server, Oracle, PostgreSQL, Sybase, MySQL and Azure. Designed for proactive management and automation of routine maintenance in large scale on-premise, hybrid/cloud database environments.

[Cosmos DB Profiler](https://hibernatingrhinos.com/products/cosmosdbprof) is a real-time visual debugger allowing a development team to gain valuable insight and perspective into their usage of Cosmos DB database. It identifies over a dozen suspicious behaviors from your application’s interaction with Cosmos DB.

[Adminer](https://www.adminer.org/) is an SQL management client tool for managing databases, tables, relations, indexes, users. Adminer has support for all the popular database management systems such as MySQL, MariaDB, PostgreSQL, SQLite, MS SQL, Oracle, Firebird, SimpleDB, Elasticsearch and MongoDB.

[Knex](https://github.com/knex/knex) is a query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.

[rqlite](https://github.com/rqlite/rqlite) is an easy-to-use, lightweight, distributed relational database, which uses [SQLite](https://www.sqlite.org/) as its storage engine.

[osquery](https://github.com/osquery/osquery) is a SQL powered operating system instrumentation, monitoring, and analytics framework.

[SQLModel](https://github.com/tiangolo/sqlmodel) is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust.

[Citus](https://github.com/citusdata/citus) is a [PostgreSQL extension](https://www.citusdata.com/blog/2017/10/25/what-it-means-to-be-a-postgresql-extension/) that transforms Postgres into a distributed database—so you can achieve high performance at any scale.

[DBeaver](https://dbeaver.io/) is an open source database tool for developers and database administrators. It offers supports for JDBC compliant databases such as MySQL, Oracle, IBM DB2, SQL Server, Firebird, SQLite, Sybase, Teradata, Firebird, Apache Hive, Phoenix, and Presto.

[DbVisualizer](https://dbvis.com/) is a SQL management tool that allows users to manage a wide range of databases such as Oracle, Sybase, SQL Server, MySQL, H3, and SQLite.

[AppDynamics Database](https://www.appdynamics.com/supported-technologies/database) is a management product for Microsoft SQL Server. With AppDynamics you can monitor and trend key performance metrics such as resource consumption, database objects, schema statistics and more, allowing you to proactively tune and fix issues in a High-Volume Production Environment.

[Toad](https://www.quest.com/toad/) is a SQL Server DBMS toolset developed by Quest. It increases productivity by using extensive automation, intuitive workflows, and built-in expertise. This SQL management tool resolve issues, manage change and promote the highest levels of code quality for both relational and non-relational databases.

[Lepide SQL Server](https://www.lepide.com/sql-storage-manager/) is an open source storage manager utility to analyse the performance of SQL Servers. It provides a complete overview of all configuration and permission changes being made to your SQL Server environment through an easy-to-use, graphical user interface.

[Sequel Pro](https://sequelpro.com/) is a fast MacOS database management tool for working with MySQL. This SQL management tool helpful for interacting with your database by easily to adding new databases, new tables, and new rows.

[Azure Synapse Analytics](https://azure.microsoft.com/en-us/services/synapse-analytics/) is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless or provisioned resources at scale. It brings together the best of the SQL technologies used in enterprise data warehousing, Spark technologies used in big data analytics, and Pipelines for data integration and ETL/ELT.

[Extract, transform, and load (ETL)](https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl) is a data pipeline used to collect data from various sources, transform the data according to business rules, and load it into a destination data store.

[ElasticSearch](https://www.elastic.co/) is a search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is developed in Java.

[Logstash](https://www.elastic.co/products/logstash) is a tool for managing events and logs. When used generically, the term encompasses a larger system of log collection, processing, storage and searching activities.

[Kibana](https://www.elastic.co/products/kibana) is an open source data visualization plugin for Elasticsearch. It provides visualization capabilities on top of the content indexed on an Elasticsearch cluster. Users can create bar, line and scatter plots, or pie charts and maps on top of large volumes of data.

[Trino](https://trino.io/) is a Distributed SQL query engine for big data. It is able to tremendously speed up [ETL processes](https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl), allow them all to use standard SQL statement, and work with numerous data sources and targets all in the same system.

[Tableau](https://www.tableau.com/) is a Data Visualization software used in relational databases, cloud databases, and spreadsheets. Tableau was acquired by [Salesforce in August 2019](https://investor.salesforce.com/press-releases/press-release-details/2019/Salesforce-Completes-Acquisition-of-Tableau/default.aspx).

[DataGrip](https://www.jetbrains.com/datagrip/) is a professional DataBase IDE developed by Jet Brains that provides context-sensitive code completion, helping you to write SQL code faster. Completion is aware of the tables structure, foreign keys, and even database objects created in code you're editing.

[RStudio](https://rstudio.com/) is an integrated development environment for R and Python, with a console, syntax-highlighting editor that supports direct code execution, and tools for plotting, history, debugging and workspace management.

# NoSQL Tools
[Back to the Top](https://github.com/mikeroyal/SQL-NoSQL-Guide#table-of-contents)

[Amazon SimpleDB](https://aws.amazon.com/simpledb/) is a highly available NoSQL data store that offloads the work of database administration. This service works in close conjunction with Amazon Simple Storage Service (Amazon S3) and Amazon Elastic Compute Cloud (Amazon EC2), collectively providing the ability to store, process and query data sets in the cloud.

[Amazon DynamoDB](https://aws.amazon.com/dynamodb/) is a key-value and document database that delivers single-digit millisecond performance at any scale. It is a fully managed, multiregion, multimaster, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications.

[Scylla](https://github.com/scylladb/scylla) is the real-time big data database that is API-compatible with Apache Cassandra and Amazon DynamoDB.

[MongoDB](https://www.mongodb.com/) is a document database meaning it stores data in JSON-like documents.

[NoSQLBooster](https://www.nosqlbooster.com/) is a cross-platform IDE for [MongoDB v2.6-5.0](https://www.mongodb.com/download-center/community/releases), which provides a build-in MongoDB script debugger, SQL query, server monitoring tools, chaining fluent query, query code generator, task scheduling, ES2020 support, and advanced IntelliSense experience.

[ClickHouse®](https://github.com/ClickHouse/ClickHouse) is an open-source column-oriented database management system that allows generating analytical data reports in real-time.

[Neo4j](https://neo4j.com/) is a graph database management system that provides an array of tools, libraries, and frameworks to make development faster and easier.

[Apache Cassandra™](https://cassandra.apache.org/) is an open source NoSQL distributed database trusted by thousands of companies for scalability and high availability without compromising performance. Cassandra provides linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data.

[Apache HBase™](https://hbase.apache.org/) is an open-source, NoSQL, distributed big data store. It enables random, strictly consistent, real-time access to petabytes of data. HBase is very effective for handling large, sparse datasets. HBase serves as a direct input and output to the Apache MapReduce framework for Hadoop, and works with Apache Phoenix to enable SQL-like queries over HBase tables.

[Hadoop Distributed File System (HDFS)](https://www.ibm.com/analytics/hadoop/hdfs) is a distributed file system that handles large data sets running on commodity hardware. It is used to scale a single Apache Hadoop cluster to hundreds (and even thousands) of nodes. HDFS is one of the major components of Apache Hadoop, the others being [MapReduce](https://www.ibm.com/analytics/hadoop/mapreduce) and [YARN](https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN.html).

[Redis(REmote DIctionary Server)](https://redis.io/) is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. It provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.

[FoundationDB](https://www.foundationdb.org/) is an open source distributed database designed to handle large volumes of structured data across clusters of commodity servers. It organizes data as an ordered key-value store and employs ACID transactions for all operations. It is especially well-suited for read/write workloads but also has excellent performance for write-intensive workloads. FoundationDB was acquired by [Apple in 2015](https://techcrunch.com/2015/03/24/apple-acquires-durable-database-company-foundationdb/).

[CouchbaseDB](https://www.couchbase.com/) is an open source distributed [multi-model NoSQL document-oriented database](https://en.wikipedia.org/wiki/Multi-model_database). It creates a key-value store with managed cache for sub-millisecond data operations, with purpose-built indexers for efficient queries and a powerful query engine for executing SQL queries.

## Distributed Systems Tools
[Back to the Top](https://github.com/mikeroyal/SQL-NoSQL-Guide#table-of-contents)

[Apache Flume](https://flume.apache.org/) is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of streaming event data.

[Apache Mesos](http://mesos.apache.org/) is a cluster manager that provides efficient resource isolation and sharing across distributed applications, or frameworks. It can run Hadoop, Jenkins, Spark, Aurora, and other frameworks on a dynamically shared pool of nodes.

[Apache Spark™](https://spark.apache.org/) is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing.

[Apache PredictionIO](https://predictionio.apache.org/) is an open source machine learning framework for developers, data scientists, and end users. It supports event collection, deployment of algorithms, evaluation, querying predictive results via REST APIs. It is based on scalable open source services like Hadoop, HBase (and other DBs), Elasticsearch, Spark and implements what is called a Lambda Architecture.

[Cluster Manager for Apache Kafka(CMAK)](https://github.com/yahoo/CMAK) is a tool for managing [Apache Kafka](https://kafka.apache.org/) clusters.

[BigDL](https://bigdl-project.github.io/) is a distributed deep learning library for Apache Spark. With BigDL, users can write their deep learning applications as standard Spark programs, which can directly run on top of existing Spark or Hadoop clusters.

[Apache Flume](https://flume.apache.org/) is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of streaming event data.

[Apache Beam](https://beam.apache.org/) is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs).

[Jupyter Notebook](https://jupyter.org/) is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Jupyter is used widely in industries that do data cleaning and transformation, numerical simulation, statistical modeling, data visualization, data science, and machine learning.

[Neo4j](https://neo4j.com/) is the only enterprise-strength graph database that combines native graph storage, advanced security, scalable speed-optimized architecture, and ACID compliance to ensure predictability and integrity of relationship-based queries.

[Apache Airflow](https://airflow.apache.org) is an open-source workflow management platform created by the community to programmatically author, schedule and monitor workflows.

# Parallel Systems Tools
[Back to the Top](https://github.com/mikeroyal/SQL-NoSQL-Guide#table-of-contents)

[OpenMP](https://www.openmp.org/) is an API that supports multi-platform shared-memory parallel programming in C/C++ and Fortran. The OpenMP API defines a portable, scalable model with a simple and flexible interface for developing parallel applications on platforms from the desktop to the supercomputer.

[CUDA®](https://developer.nvidia.com/cuda-zone) is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs.

[Message Passing Interface (MPI)](https://en.wikipedia.org/wiki/Message_Passing_Interface) is a standardized and portable message-passing standard designed to function on parallel computing architectures.

[Microsoft MPI (MS-MPI)](https://docs.microsoft.com/en-us/message-passing-interface/microsoft-mpi) is a Microsoft implementation of the Message Passing Interface standard for developing and running parallel applications on the Windows platform.

[Slurm](https://researchcomputing.princeton.edu/support/knowledge-base/slurm) is a free open-source workload manager designed specifically to satisfy the demanding needs of high performance computing.

[Portable Batch System (PBS) Pro](https://www.altair.com/pbs-professional/) is a fast, powerful workload manager designed to improve productivity, optimize utilization and efficiency, and simplify administration for clusters, clouds, and supercomputers.

[AWS ParallelCluster](https://aws.amazon.com/hpc/parallelcluster/) is an AWS-supported open source cluster management tool that makes it easy for you to deploy and manage High Performance Computing (HPC) clusters on AWS. ParallelCluster uses a simple text file to model and provision all the resources needed for your HPC applications in an automated and secure manner.

[Numba](https://github.com/numba/numba) is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax. Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support for automatic parallelization of loops, generation of GPU-accelerated code, and creation of ufuncs and C callbacks.

[XGBoost](https://xgboost.readthedocs.io/) is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. It supports distributed training on multiple machines, including AWS, GCE, Azure, and Yarn clusters. Also, it can be integrated with Flink, Spark and other cloud dataflow systems.

[Apache Arrow](https://arrow.apache.org/) is a language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware like CPUs and GPUs.

[MATLAB Parallel Server™](https://www.mathworks.com/products/matlab-parallel-server.html) is a tool that lets you scale MATLAB® programs and Simulink® simulations to clusters and clouds. You can prototype your programs and simulations on the desktop and then run them on clusters and clouds without recoding. MATLAB Parallel Server supports batch jobs, interactive parallel computations, and distributed computations with large matrices.

[Parallel Computing Toolbox™](https://www.mathworks.com/products/matlab-parallel-server.html) is a tool that lets you solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. High-level constructs such as parallel for-loops, special array types, and parallelized numerical algorithms enable you to parallelize MATLAB® applications without CUDA or MPI programming. The toolbox lets you use parallel-enabled functions in MATLAB and other toolboxes. You can use the toolbox with Simulink® to run multiple simulations of a model in parallel. Programs and models can run in both interactive and batch modes.

[Statistics and Machine Learning Toolbox™](https://www.mathworks.com/products/statistics.html) is a tool that provides functions and apps to describe, analyze, and model data. You can use descriptive statistics, visualizations, and clustering for exploratory data analysis; fit probability distributions to data; generate random numbers for Monte Carlo simulations, and perform hypothesis tests. Regression and classification algorithms let you draw inferences from data and build predictive models either interactively, using the Classification and Regression Learner apps, or programmatically, using AutoML.

[Cluster Manager for Apache Kafka(CMAK)](https://github.com/yahoo/CMAK) is a tool for managing [Apache Kafka](https://kafka.apache.org/) clusters.

## Contribute

- [x] If would you like to contribute to this guide simply make a [Pull Request](https://github.com/mikeroyal/SQL-NoSQL-Guide/pulls).

## License

Distributed under the [Creative Commons Attribution 4.0 International (CC BY 4.0) Public License](https://creativecommons.org/licenses/by/4.0/).