The Distributed SQL Blog

Thoughts on distributed databases, open source and cloud native

Building a High Growth Business by Monetizing Open Source Software

Whenever a venture-funded software infrastructure startup takes the open source route to market, a few questions emerge:

  • What open source license and project governance model will it choose?
  • How will it monetize the open source project?
  • What if AWS, Microsoft Azure or Google Cloud offer the startup’s open source project as a managed service?

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Understanding How YugabyteDB Runs on Kubernetes

As we reviewed in “Docker, Kubernetes and the Rise of Cloud Native Databases”, Kubernetes has benefited from rapid adoption to become the de-facto choice for container orchestration. This has happened in a short span of only 4 years since Google open sourced the project in 2014. YugabyteDB’s automated sharding and strongly consistent replication architecture lends itself extremely well to containerized deployments powered by Kubernetes orchestration.

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Benchmarking an 18 Terabyte YugabyteDB Cluster with High Density Data Nodes

For ever-growing data workloads such as time series metrics and IoT sensor events, running a highly dense database cluster where each node stores terabytes of data makes perfect sense from a cost efficiency standpoint. If we are spinning up new data nodes only to get more storage-per-node, then there is a significant wastage of expensive compute resources. However, running multi-terabyte data nodes with Apache Cassandra as well as other Cassandra-compatible databases (such as DataStax Enterprise) is not an option.

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How Does the Raft Consensus-Based Replication Protocol Work in YugabyteDB?

Editor’s note: This post was originally published August 8, 2018 and has been updated as of May 28, 2020.

As we saw in ”How Does Consensus-Based Replication Work in Distributed Databases?”, Raft has become the consensus replication algorithm of choice when it comes to building resilient, strongly consistent systems. YugabyteDB uses Raft for both leader election and data replication.

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YugaByte Company and Database Update – Aug 3, 2018

$16 Million Funding Round

In case you missed the news earlier this Summer, YugaByte raised an additional $16M of funding from Dell Technologies Capital and our previous investor Lightspeed Venture Partners. With the additional funding, we are accelerating investments in engineering, sales, and customer success to scale our support for enterprises building business-critical applications in the cloud.

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How Does Consensus-Based Replication Work in Distributed Databases?

Editor’s note: This post was originally published August 2, 2018 and has been updated as of May 26, 2020.

Whether it be a WordPress website’s MySQL backend or Dropbox’s multi-exabyte storage system, data replication is at the heart of making data durable and available in the presence of hardware failures such as machine crashes,

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A Quick Guide to Secondary Indexes in YugaByte DB

When creating a Cassandra-compatible YCQL table in YugaByte DB, you are required to create a primary key consisting of one or more columns of the table. Primary key based retrievals are efficient because YugaByte DB automatically indexes/organizes the data by the primary key. However, there are many use-cases where you may need to retrieve data using columns that are not a part of the primary key.

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