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Why PostgreSQL High Availability Matters and How to Achieve It
Achieving PostgreSQL high availability is vital for application uptime. Explore popular HA deployment options to make an informed choice that fits your needs.
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RAG to Riches
Today I will be regaling you with tales of marvelous cherry-picked new developments in AI, from Sam Altman's recent Uno Reverse incident to bear spraying job-hungry engineers.
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The simple joys of scaling up
Explores why scale-out became so dominant, whether those rationales still hold, and some joyful advantages of scale-up architecture. | Reading time: 16 min read
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Azure dropping database support for MariaDB. Users advised to migrate to MySQL
Subscribe to Microsoft Azure today for service updates, all in one place. Check out the new Cloud Platform roadmap to see our latest product plans.
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The Most Cited AI Papers in 2022
Who Is publishing the most Impactful AI research right now? With the breakneck pace of innovation in AI, it is crucial to pick up some signal as soon as possible. No one has the time to read everything, but these 100 papers are sure to bend the road as to where our AI technology is going. The real test of impact of…
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D1: Improvements to performance and scalability
We've been heads down iterating on D1, and we've just shipped a major new version that's substantially faster, more reliable, and introduces Time Travel: the ability to restore a D1 database to any point in time.
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Approximate Nearest Neighbor Oh Yeah (Annoy)
Discover the capabilities of Annoy, an innovative algorithm revolutionizing approximate nearest neighbor searches for enhanced efficiency and precision.
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Running Databases on Kubernetes
Things to consider when running a database on Kubernetes.
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AlloyDB Omni – run AlloyDB anywhere
Today, we’re excited to announce the technology preview of AlloyDB Omni, a downloadable edition of AlloyDB designed to run on premises, at the edge, across clouds, or even on developer laptops.
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WAL Mode in LiteFS
LiteFS v0.3.0 now supports SQLite's write-ahead log journal mode.
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SQLite 2022 Recap
There have been many improvements to SQLite during 2022. Listed below or just a few of the bigger changes. See the change logs or the trunk timeline for a more complete list of enhancements and improvements.
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Apache Kafka Beyond the Basics: Windowing
Learn what windowing is, the difference between the four types of windows (hopping and tumbling, or session and sliding), and how to create them.
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WordPress Core to start using SQLite
This post is an update to the proposal for officially support SQLite in WordPress. The initial implementation was included in the Performance Lab plugin and then released as a stand-alone plugin. T…
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Fixing Hallucination with Knowledge Bases
Large Language Models (LLMs) have a data freshness problem. Even some of the most powerful models, like GPT-4, have no idea about recent events. Let's learn how to fix this.
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Type constraints in 65 lines of SQL
Creating validated data types in Postgres
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PlanetScale Scaler Pro
See how Scaler Pro combines the best of our current plans for companies of all sizes while enabling you to grow with the best database for serverless.
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Deno KV Is in Open Beta
Deno KV, the easiest way to add a strongly consistent database to your app, is now in open beta.
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Postgres WAL Files and Sequence Numbers
Go inside the WAL file with this in-depth look at WAL file Log Sequence Number (LSN), WAL segment positions, WAL file names, and pg_switch_wal.
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PostgreSQL 16 Bi-Directional Logical Replication
Introduction In this blog, we'll be going over some more advanced topics new in Postgres 16. Having some experience with Linux, Postgres, and SQL is necessary as we'll not only be going over these new features but also how to implement them. This blog was written using PostgreSQL 16 (Development Version) running on…
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PostgreSQL Logical Replication Explained
Vigneshwaran C explained the internals of PostgreSQL Logical Replication during PGConf India - if you were not able to attend, you can read all here.
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Our Journey with Apache Arrow (Part 2): Adaptive Schemas and Sorting
In the previous article, we discussed our use of Apache Arrow within the context of the OpenTelemetry project. We investigated various techniques to maximize the efficiency of Apache Arrow, aiming to find the optimal balance between data compression ratio and queryability. The compression results speak for themselves…
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Pandas vs. Julia – cheat sheet and comparison
This is a Python/Pandas vs Julia cheatsheet and comparison. You can find what is the equivalent of Pandas in Julia or vice versa. You can find links to the documentation and other useful Pandas/Julia resources. The table below show the useful links for both: Pandas Julia data analysis