---
title: "TiDB 2.0 Released: A Go-Powered Analytics Database"
publication: "DB Weekly"
issue: 202
published_at: "2018-05-04"
canonical_url: "https://dbweekly.com/issues/202"
---

This week's database news       

#202 — May 4, 2018 

[Read on the Web](https://dbweekly.com/issues/202)   

Database Weekly 

[![\](https://res.cloudinary.com/cpress/image/upload/w_800/pjyndfkhjymkvuoxkoxi.jpg)](https://www.ebayinc.com/stories/blogs/tech/announcing-the-accelerator-processing-1-000-000-000-lines-per-second-on-a-single-computer/)  

[eBay Open Sources 'The Accelerator', a Fast Data Processing Tool](https://www.ebayinc.com/stories/blogs/tech/announcing-the-accelerator-processing-1-000-000-000-lines-per-second-on-a-single-computer/) — Designed for processing terabytes of data at high speed on a single machine, _The Accelerator_ has, till now, been used for working with huge log files at companies like Starbucks, Vodafone, and eBay itself. 

Berkeman, Drougge and Hörberg   

[TiDB 2.0 Released: A Go-Powered Analytics Database](https://pingcap.com/blog/tidb-2-0-announcement/) — TiDB is a MySQL protocol-compatible, distributed database focused on OLTP and OLAP applications. They’ve also released TiSpark, a Spark plug-in to leverage SparkSQL with TiKV for processing complex OLAP queries in real-time. 

PingCAP   [![\](https://copm.s3.amazonaws.com/c030d171.jpg)](https://www.influxdata.com/blog/why-should-i-use-a-time-series-database/) 

[Why Should I Use a Time Series Database?](https://www.influxdata.com/blog/why-should-i-use-a-time-series-database/) — Learn about the benefits of using a purpose-built time series database. 

InfluxData sponsor   

[Previewing Elasticsearch 6.3's SQL Feature](https://medium.com/@mustafaakin/previewing-elasticsearch-6-3-sql-feature-2d3a1d60cab4) — The popular document database and search server Elasticsearch is gaining support for SQL in its next version, but how will it work? 

Mustafa Akin   

[A Look at MyRocks' Performance](https://www.percona.com/blog/2018/04/30/a-look-at-myrocks-performance/) — [MyRocks](http://myrocks.io/) is a storage engine for MySQL that uses [RocksDB](https://rocksdb.org/), a high performance, SSD-optimized key-value store. 

Vadim Tkachenko (Percona)   

[How Netflix Optimized Flink for Massive Scale on AWS](https://www.datanami.com/2018/04/30/how-netflix-optimized-flink-for-massive-scale-on-aws/) — Apache Flink is an open source streaming processing platform and Netflix uses it to process data about subscribers’ viewing sessions. 

Datanami   

[Tile38: A Geospatial Database, Spatial Index, and Realtime Geofence](https://github.com/tidwall/tile38) — Built in Go, Tile38 is an in-memory geolocation data store that supports a variety of object types including lat/lon points, bounding boxes, XYZ tiles, Geohashes, and GeoJSON. 

Josh Baker    

[Get Optimised MongoDB Query Performance with Studio 3T](https://studio3t.com/whats-new/mongodb-query-performance/?utm_source=dbweekly&utm_medium=newsletter&utm_campaign=may2018) — Read the latest article in our tutorial series on MongoDB performance which focuses on the Profiler and more. 

Studio 3T sponsor   

[The Elo Rating System Implemented in a Single SQL SELECT](https://elliot.land/post/elo-rating-system-implemented-in-single-sql-select) — The [Elo rating system](https://en.wikipedia.org/wiki/Elo_rating_system) is a way to calculate player skill levels in games like chess, and if you like seeing lengthy, powerful SQL queries, this is for you. 

Elliot Chance   

[Hadoop 3: Comparison with Hadoop 2 and Spark](https://medium.com/activewizards-machine-learning-company/hadoop-3-comparison-with-hadoop-2-and-spark-67efd0e78f81) 

Igor Bobriakov   

[Beware (Sort-Of) Ambiguous Column Names in SQL Sub-Selects](http://www.seiler.us/2018/04/beware-sort-of-ambiguous-column-names.html) 

Don Seiler   

[Modern Distributed Application Deployment with Kubernetes and MongoDB Atlas](https://www.mongodb.com/blog/post/modern-distributed-application-deployment-with-kubernetes-and-mongodb-atlas?jmp=cpress&utm_campaign=WW_CP_newsletter_sponsorship_FY19Q1&utm_content=20180504&utm_medium=display&utm_source=dbweekly) 

mongodb sponsortutorial   

[Architecture of a High Performance GraphQL to SQL Server](https://blog.hasura.io/architecture-of-a-high-performance-graphql-to-sql-server-58d9944b8a87) 

Hasura   

[How Algolia Built Their Realtime Search as a Service Product](https://stackshare.io/posts/how-algolia-built-their-realtime-search-as-a-service-product) — An interview-led article about Algolia, the search-as-a-service platform. 

StackShare   

▶[How to Turn GDPR Into a Strategic Advantage using Connected Data](https://www.youtube.com/watch?v=po2JtANQGDs) — Using the Neo4j graph database, specifically. 

Joe Depeau (Neo4j)   

[ora_migrator: Moving From Oracle to Postgres Even Faster](https://www.cybertec-postgresql.com/en/ora_migrator-moving-from-oracle-to-postgresql-even-faster/) — Want to migrate an Oracle database to Postgres with a single SQL query? 

Hans-Jürgen Schönig   

[AntsDB: A Low Latency, High Concurrency, MySQL Compliant SQL Layer for HBase](https://github.com/waterguo/antsdb) 

Water Guo   

[Neo4j Bloom: Codeless Graph Data Visualization](https://neo4j.com/blog/introducing-neo4j-bloom-graph-data-visualization-for-everyone/) — The latest product from the Neo4j team. A neat looking tool but not available until June and it requires Neo4j Enterprise Edition. 

Jeff Morris (Neo4j)         

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