---
title: "Oracle steps on to MongoDB's turf with Autonomous JSON Database"
publication: "DB Weekly"
issue: 317
published_at: "2020-08-14"
canonical_url: "https://dbweekly.com/issues/317"
---

Plus more database news, views, and links.       

#317 — August 14, 2020 

[Read on the Web](https://dbweekly.com/issues/317)   

Database Weekly 

[![\](https://res.cloudinary.com/cpress/image/upload/w_1280,e_sharpen:60/v1597350322/joc1gdcbozjyl2e1oomg.jpg)](https://blogs.oracle.com/jsondb/autonomous-json-database)  

[Oracle Introduces 'Autonomous JSON Database'](https://blogs.oracle.com/jsondb/autonomous-json-database) — A new cloud service built for developers looking for an easy to use JSON database with simple NoSQL APIs – intriguingly it boasts ‘all the core capabilities of MongoDB’ and there are some price comparisons to MongoDB Atlas so it’s clear whose users they’re going after :-) 

Beda Hammerschmidt (Oracle)   

[AWS Glue 2.0: 10x Faster Start Times and 1 Min Minimum Billing Duration](https://aws.amazon.com/blogs/aws/aws-glue-version-2-0-featuring-10x-faster-job-start-times-and-1-minute-minimum-billing-duration/) — _Glue_ is AWS’s fully managed ‘serverless’ extract, transform, and load (ETL) service. v2.0 features significantly improved start times and 1 minute minimum billing (with 1 second increments thereafter) which is down on a 10 minute minimum before. 

Amazon Web Services   [![\](https://copm.s3.amazonaws.com/48b1cc60.jpg)](https://ravendb.net/articles/a-nosql-database-that-fits-in-your-network-with-ease?utm_source=DB%20Weekly&utm_medium=article&utm_campaign=ETL) 

[A NoSQL Database That Fits in Your Network With Ease](https://ravendb.net/articles/a-nosql-database-that-fits-in-your-network-with-ease?utm_source=DB%20Weekly&utm_medium=article&utm_campaign=ETL) — RavenDB makes it easy to build automated networks of databases. In minutes, servers can be configured to share data flexibly and securely. The ETL builder lets you automatically transform the data on the way, and even send NoSQL data to SQL databases. 

RavenDB sponsor     

**⚡️ Quick bytes:** 

- It's a week away from final release but [SQLite 3.33.0](https://www.sqlite.org/draft/releaselog/3_33_0.html) will support databases of up to 281TB in size(!) [notes Simon Willison.](https://twitter.com/i/web/status/1292243777625628672)
- Timescale has [extended their Timescale Cloud service](https://blog.timescale.com/blog/fully-managed-time-series-data-service-now-available-in-aws-azure-gcp-75-regions-compare-vs-influxdb-timestream/) to 76 regions across AWS, Azure and GCP. TimescaleDB is essentially Postgres extended with significant time-series data functionality.    

[Why Japan's Largest Mobile Payment Company Migrated from Aurora to TiDB](https://pingcap.com/case-studies/japan-largest-mobile-payment-company-migrates-from-aurora-to-a-scale-out-database) — This is a case study hosted on TiDB’s own site, so apply a cynical eye, but the story is interesting nonetheless and the company in question found bottlenecks with Aurora that were resolved by TiDB’s horizontal scalability. PingCAP has also just [released version 4.0 of TiDB.](https://pingcap.com/blog/tidb-4.0-elastic-real-time-htap-database-ready-for-cloud) 

Munenori Hirakawa   

[R and Python: The Data Science Dynamic Duo?](https://www.datanami.com/2020/08/11/r-and-python-the-data-science-dynamic-duo/) — Apparently _“the language R is in the midst of a sizzling resurgence this summer.”_ And it’s not hurting Python either. 

Datanami   

[Automating Database Backups with AWS Fargate, S3 and CDK](https://a.l3x.in/blog/mongodb-backups-with-aws-cdk/) — An example of serverless enabling a simple solutions to a common devops task: automating MongoDB database backups using AWS Fargate, S3, and CDK. 

Alexander Fortin   

[Archiving AWS Data to Reduce Storage Costs](https://bahr.dev/2020/08/07/archiving-data/) — With AWS, generally the more immediately available your data is, the more it costs to store it, but you can aggregate data and _transition_ between different storage tiers to make big savings. 

Michael Bahr   

[MySQL Performance Tuning: Some Tips, Scripts and Tools](https://haydenjames.io/mysql-performance-tuning-tips-scripts-tools/) 

Hayden James   

[The Information Catastrophe](https://aip.scitation.org/doi/10.1063/5.0019941) — If you fancy giving your eyebrows a bit of exercise, this is an odd academic paper claiming that, left unchecked, in 500 years, digital content will account for more than half of Earth’s mass. 

Melvin M Vopson   

[📈 How to Use PostgreSQL to Visualize Timeshifts in Grafana](https://tsdb.co/timeshift-how-to) — Learn how to use LATERAL JOINS to easily compare your metrics across time periods (sample code, queries, tips & more). 

Timescale sponsor   

[Why MongoDB Is ‘Fundamentally Better’ for Developers](https://www.infoworld.com/article/3570729/why-mongodb-is-fundamentally-better-for-developers.html) — MongoDB co-founder and former CTO Eliot Horowitz reflects on the creation of MongoDB and his 13 years with the company. 

Matt Asay (InfoWorld)   

[How to Become a Redis Maintainer One Contribution at a Time](https://aws.amazon.com/blogs/opensource/how-to-become-a-redis-maintainer-one-contribution-at-a-time/) — Madelyn Olson may not be the most well-known of open source developers, but chances are you’ve benefited from her work. Here’s how she went from student to contributor to a popular open source database. 

Matt Asay         

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