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  Making a scalable and fault-tolerant database system: partitioning and replication

  

  scylladb.com

  Making a Scalable and Fault-tolerant Database System: Partitioning and Replication — Learn how data partitioning and replication work in Scylla, to ensure that it is a database both scalable and fault tolerant.

  hot partitions large partitions murmur partition partitions replication

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• Issue 327 - Blockchain graph databases, sending MIDI with SQL, and SQLite's graph future

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  Evolving Schemaless into a Distributed SQL Database

  

  uber.com

  How Uber is Evolving Schemaless into a Distributed SQL Database — An update to a hugely popular...

  How Uber is Evolving Schemaless into a Distributed SQL Database — An update to a hugely popular set of blog posts from 2016 about how Uber built a ‘schemaless’ data store on top of MySQL. Their thinking has evolved somewhat since then. Uber is now working on ‘Docstore’, a multi-model database that can scale horizontally – it still uses MySQL under the hood, though.

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  2
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  Preparing your Postgres data for scale-out

  

  dev.to

  Preparing Your Postgres Data for Scale-Out — As your app’s popularity grows, how should you prepare...

  Preparing Your Postgres Data for Scale-Out — As your app’s popularity grows, how should you prepare for the growth in usage of your Postgres instance?

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  Four Data Sharding Strategies We Analyzed in Building a Distributed SQL Database - The Distributed SQL Blog

  

  yugabyte.com

  Four Data Sharding Strategies YugabyteDB Analyzed for Building a Distributed SQL Database — A distributed SQL...

  Four Data Sharding Strategies YugabyteDB Analyzed for Building a Distributed SQL Database — A distributed SQL database needs to automatically partition (or ‘shard’) its data across multiple nodes and there are different strategies to do this, each with their own pros and cons.

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