Thoughts on distributed databases, open source, and cloud native
This is the second of a two part blog post series about the date-time data types that PostgreSQL, and therefore YSQL, support. The first part dealt with the basic business of representing moments (when things happen). The relevant data types here are time, date, and timestamp—where the latter has a without time zone and a with time zone variant.
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Read MoreAnecdotal reports indicate that some PostgreSQL programmers are daunted by the date and time data types, and by how operations that use values of these data types might be affected by the session’s timezone setting. Even experienced developers struggle when they first embark on a critical project that relies on this functionality. YugabyteDB’s YSQL subsystem gives the application developer the same experience as PostgreSQL.
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Read MorePostgreSQL has eaten the world. And so Yugabyte set out to build the most Postgres-compatible, scalable, and resilient database. YugabyteDB is not only wire compatible with PostgreSQL, it is code compatible by reusing the upper half of PostgreSQL. Thanks to this compatibility, YugabyteDB can connect to the vast majority of database tools that integrate with Postgres.
In a previous blog post,
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Read MoreYugabyte brings best-in-class performance, scalability, and availability to YugabyteDB, a fully PostgreSQL-compatible SQL database. Because YugabyteDB’s architecture uses PostgreSQL at the SQL layer, we get a long-tail of PostgreSQL compatibility for free. But implementing savepoints requires deeper integration into YugabyteDB’s distributed persistence and transaction layers.
In this blog post, we’ll discuss why you should care about savepoints.
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Read MoreTeam Yugabyte is excited to announce the general availability of YugabyteDB 2.1! The highlight of this release is that Yugabyte SQL (YSQL), YugabyteDB’s PostgreSQL-compatible API, has not only improved performance 10x since the 2.0 release in September 2019 but is also production ready for multiple geo-distributed deployment scenarios. For those of you who are new to distributed SQL,
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When starting the YugabyteDB project, our founding thesis was to build a high-performance distributed SQL database for the cloud native era. Achieving high performance will always remain an ongoing initiative, especially when additional optimizations are required to support new features and new use cases. We are excited that the current YugabyteDB 2.1 release has a number of improvements that make Yugabyte SQL’s performance 10x better on average than the previous 2.0 release (from September 2019).
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Read MoreWelcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stackoverflow.
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Read MoreWelcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub or Stackoverflow.
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Read MoreWelcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub or Stackoverflow.
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Read MoreWe are pleased to announce that YugabyteDB 2.0.11 is now live! You can read the official release notes of this and previous versions here. These two releases shipped with a combined 30+ new enhancements and fixes.
What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner.
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