Today marks the 1-year anniversary of the SingleStore Community Edition launch. Over the course of a year, Community Edition has surpassed tens of thousands of downloads and is deployed across hundreds of active clusters. We have a thriving community user group on Slack, ranging from SQL beginners to award-winning data engineers.
On our anniversary, we want to share what has contributed to our community success, and what users can expect moving forward.
A Database So Scalable, Everyone Can Use It
Community Edition is free forever and comes with unlimited capacity, unlimited scale, and all of the transactional and analytical features present in SingleStore Enterprise Edition. We launched Community Edition to give developers and companies a chance to explore what is possible with in-memory computing. It has advanced SQL features and runs on the same engine as SingleStore Enterprise Edition.
Download Here: singlestore.com/cloud-trial/
Helping Our Community
We are dedicated to ensuring success for Community Edition users. We do so by providing free resources to the community including a public Slack Channel, open source tools, documentation, and training videos.
Public Forums
Our Forums is a top resource for many of our users. Users can post questions on everything from installation to advanced SQL queries, and get quick responses from the community. SingleStore engineers can be found answering questions during California business hours.
Join the public Slack channel here: https//www.singlestore.com/forums/
Open Source Tools
We have developed a number of open source tools to make using SingleStore even better. Projects posted in the last year include:
SingleStore Streamliner – An integrated version of Apache Spark to assist with real-time pipeline deployments
Streamliner Starter Kit: a repository to help you build real-time data pipelines for SingleStore Streamliner
Streamliner Examples: a repository featuring sample code for the SingleStore Streamliner
SingleStore Spark Connector: A tool reading from and writing to SingleStore in Spark. The connector provides a number of integrations with Apache Spark including a custom RDD type, DataFrame helpers and a SingleStore Context.
dbbench: a fast, lightweight database workload generator that executes a workload-defined flexible configuration file. Using this dbbench, simple ‘jobs’ can be defined to describe a workload run against a server.
Documentation
To help our Community and Enterprise customers get up-and-running quickly with SingleStore at full capacity, we offer extensive product documentation. Our documentation is especially helpful for getting started as it includes a quick start guide, tutorials, SQL references, FAQ and more.
Documentation can be found at: docs.singlestore.com
Thank You
Finally, we want to thank all of our community members for providing constructive feedback over the past year and for helping us build a welcoming environment for new users. Our goal is to enable any organization to operate in real time, and Community Edition is an important vehicle for making that happen.
To join the SingleStore community, download Community Edition at singlestore.com/cloud-trial/ and contribute to our public Slack channel at https//www.singlestore.com/forums/
