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awesome-bigtable

:zap: Delightful list of Google Bigtable resources, packages and interesting finds.
https://github.com/zrosenbauer/awesome-bigtable

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Resources
- Articles & Blogs
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - Bigtable: A Distributed Storage System for Structured Data - Published on 2006.
  - A NoSQL massively parallel table - Published on 2011-11.
  - How we moved our Historical Stats from MySQL to Bigtable with zero downtime - Published on 2017-07.
  - Medium @duhroach - Bigtable centric posts by Colt McAnlis, DA @ Google.
  - Cloud Bigtable Performance 101 - Published on 2018-11.
  - The right Cloud Bigtable index makes all the difference. - Published on 2019-1.
  - Cloud Bigtable : Getting the geography right - Published on 2019-1.
  - Using Cloud Bigtable Monitoring UI - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - Using Google Cloud Emulators in Integration Tests - Published on 2017-6.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
  - Bigtable: storing Protobuf bytes in one column vs splitting the content into column families/qualifiers - Published on 2018-1.
  - The Joy and Pain of using Google Bigtable - Published on 2019-1.
- Tutorials
  - Cloud Bigtable Examples - Repo containing official examples of using Bigtable.
  - Introduction to Google Cloud Bigtable - CloudAcademy provided intro tutorial to Bigtable (membership required).
  - Introduction to Google Cloud Bigtable - CloudAcademy provided intro tutorial to Bigtable (membership required).
Tools
- Official Client Libraries
  - C# - Official implementation of the Google Cloud Bigtable .NET client.
  - Node.js - Official implementation of the Google Cloud Bigtable Node.js client.
  - Python - Official implementation of the Google Cloud Bigtable python client.
  - HappyBase - Official client which uses a HappyBase emulation layer which uses Bigtable as the underlying storage layer.
  - Java - Official implementation of the Google Cloud Bigtable Java client.
  - HBase Java - Official Java libraries and HBase client extensions for accessing Google Cloud Bigtable.
  - PHP - Official implementation of the Google Cloud Bigtable PHP client.
  - C++ - Official implementation of the Google Cloud Bigtable C++ client.
  - Go - Official implementation of the Google Cloud Bigtable Go client.
- Other Client Libraries
  - Rust Bigtable - Rust library for working with Google Bigtable Data API.
  - AsyncBigtable - Implementation of AsyncHBase but on top of Google's Cloud Bigtable service.
- Command-line
  - btcli - CLI client for the Bigtable with auto-completion.
  - cbt - Official command-line interface for performing several different operations on Cloud Bigtable.
- GUI
  - vscode-bigtable - VSCode extension that provides an easy to use GUI for querying bigtable instances.
- Emulators
  - Spotify Docker Bigtable - Docker container with an in memory implementation of Google Cloud Bigtable.
  - Shopify Bigtable Emulator - In memory Go implementation of Bigtable.
  - LittleTable - In-memory JVM-based emulator for Bigtable.
  - Google Emulator - Official in-memory emulator for Cloud Bigtable, included with the Google Cloud SDK.
- Databases
  - Heroic - Scalable time series database based on Bigtable, Cassandra, and Elasticsearch.
  - Janusgraph - Open-source, distributed graph database that can use Bigtable as its storage layer.
  - GeoMesa - Suite of tools for working with big geo-spatial data in a distributed fashion, that can leverage Bigtable as its backend.
  - GeoWave - Tool that provides geospatial and temporal indexing on top of Accumulo, HBase, Bigtable, Cassandra, and DynamoDB.
  - HGraphDB - Client layer for using HBase (Bigtable) as a graph database.
  - OpenTSDB - An Open Source Time Series Data Base that can levearge Bigtable as its storage layer.
  - Cattle DB - Timeseries store built on top of Bigtable.
  - YildizDB - Graph database layer on top of Bigtable.
Cool Stuff
- Inspired by Bigtable
  - Apache Accumulo - Sorted, distributed key/value store that provides robust, scalable data storage and retrieval.
  - Tera - High performance distributed NoSQL database.
  - obigstore - Database with Bigtable-like data model atop LevelDB.
  - Apache HBase - The Hadoop database, a distributed, scalable, big data store.
- Interesting Projects
  - Bigtable Autoscaler - Service that autoscales Bigtable clusters based on CPU load.
  - ![Mentioned in Awesome Bigtable - bigtable)
  - YildizDB Bigtable - TypeScript Bigtable Client with 🔋🔋 included.

Programming Languages

Java 11 TypeScript 4 Go 3 Python 3 OCaml 1 C++ 1 Shell 1 Scala 1 Rust 1 PHP 1

Categories

Resources 122 Tools 26 Cool Stuff 7

Sub Categories

Articles & Blogs 119 Official Client Libraries 9 Databases 8 Emulators 4 Inspired by Bigtable 4 Tutorials 3 Interesting Projects 3 Other Client Libraries 2 Command-line 2 GUI 1

Keywords

bigtable 9 hbase 5 big-data 3 graph-database 3 nodejs 3 database 3 google-cloud 3 cassandra 3 nosql 2 google-bigtable 2 elasticsearch 2 graph 2 java 2 tinkerpop 2 accumulo 2 google-pubsub 1 ha 1 monitoring 1 time-series 1 tsdb 1 vscode 1 gui 1 editor 1 client 1 google-cloud-platform 1 golang 1 go 1 gcp 1 cli 1 rust-library 1 dotnet 1 typescript 1 key-value 1 google 1 storage 1 data 1 c-plus-plus 1 baidu 1 samples 1 yildiz 1 nodes 1 hyper-relational 1 event-relation 1 edges 1 spatiotemporal 1 rocksdb 1 redis 1 kudu 1 geowave 1 geospatial-data 1