• 4 min read

    Announcing Crunchy Postgres for Kubernetes 5.6: New Features for Seamless Postgres Management

    Greg Nokes

    We are excited to introduce Crunchy Postgres for Kubernetes (CPK) 5.6, the latest version of our PostgreSQL Kubernetes operator . This release brings several new features that will elevate your PostgreSQL experience to new heights, ensuring better management, automation, and scalability. Managing storage is now simpler with Crunchy Postgres for Kubernetes 5.6. The new storage management feature allows CPK to automatically expand storage for your Postgres clusters as your data grows. Say goo...

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  • Introducing pgCompare: The Ultimate Multi-Database Data Comparison Tool

    Brian Pace

    In the evolving world of data management, ensuring consistency and accuracy across multiple database systems is paramount. Whether you're migrating data, synchronizing systems, or performing routine audits, the ability to compare data across different database platforms is crucial. Enter pgCompare , an open-source tool designed to simplify and enhance the process of data comparison across PostgreSQL, Oracle, MySQL, and MSSQL databases. The key features of pgCompare: • Multi-Database support : p...

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  • Data Encryption in Postgres: A Guidebook

    Greg Nokes

    When your company has decided it's time to invest in more open source, Postgres is the obvious choice. Managing databases is not new and you already have established practices and requirements for rolling out a new database. One of the big requirements we frequently help new customers with on their Postgres adoption is data encryption. While the question is simple, there's a few layers to it that determine which is the right approach for you. Here we'll walk through the pros and cons of approach...

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  • 1 min read

    Announcing the Scheduler for Crunchy Bridge

    Craig Kerstiens

    Today we're excited to announce a new scheduler for Crunchy Bridge. Scheduler makes it easy for you to create and manage automated database maintenance tasks such as: • Refreshing materialized views • Performing automated roll-ups from raw data • Running partitioning maintenance tasks (run pg_partman automatically) • Archiving or pruning old data Refreshing materialized views Performing automated roll-ups from raw data Running partitioning maintenance tasks (run pg_partman automaticall...

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  • How We Fused DuckDB into Postgres with Crunchy Bridge for Analytics

    Marco Slot

    Last month we launched Crunchy Bridge for Analytics , a new managed PostgreSQL offering that lets you query your data lake directly from PostgreSQL. Since then, we have had quite a few exciting conversations with customers handling large amounts of data in PostgreSQL. A common question is of course: How does it work? In this post, I wanted to shed some light on the internals. Crunchy Bridge for Analytics abstracts the query engine to offer fast analytics on data in Amazon S3 in PostgreSQL. In p...

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  • 3 min read

    Converting DMS to PostGIS Point Geometry

    Elizabeth Christensen

    I love taking random spatial data and turning it into maps. Any location data can be put into PostGIS in a matter of minutes. Often when I’m working with data that humans collected, like historic locations or things that have not yet traditionally been done with computational data, I’ll find traditional Degrees, Minutes, Seconds (DMS) data. To get this into PostGIS and QGIS, you’ll need to convert this data to a different system for decimal degrees. There’s probably proprietary tools that will d...

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  • 10 min read

    Time Partitioning and Custom Time Intervals in Postgres with pg_partman

    Keith Fiske

    Whether you are managing a large table or setting up automatic archiving , time based partitioning in Postgres is incredibly powerful. pg_partman ’s newest versions support a huge variety of custom time internals. Marco just published a post on using pg_partman with our new database product for doing analytics with Postgres , Crunchy Data Warehouse . So I thought this would be a great time to review the basic and complex options for the time based partitioning. When I first started designi...

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  • Syncing Postgres Partitions to Your Data Lake in Crunchy Bridge for Analytics

    Marco Slot

    One of the unique characteristics of the recently launched Crunchy Bridge for Analytics is that it is effectively a hybrid between a transactional and an analytical database system. That is a powerful tool when dealing with data-intensive applications which may for example require a combination of low latency, high throughput insertion, efficient lookup of recent data, and fast interactive analytics over historical data. A common source of large data volumes is append-mostly time series data o...

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  • Crunchy Bridge for Analytics: Your Data Lake in PostgreSQL

    Marco Slot

    A lot of the world’s data lives in data lakes, huge collections of data files in object stores like Amazon S3. There are many tools for querying data lakes, but none are as versatile and have as wide an ecosystem as PostgreSQL. So, what if you could use PostgreSQL to easily query your data lake with state-of-the-art analytics performance? Today we’re announcing Crunchy Bridge for Analytics , a new offering in Crunchy Bridge that lets you query and interact with your data lake using PostgreSQL c...

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  • 9 min read

    Auto-archiving and Data Retention Management in Postgres with pg_partman

    Keith Fiske

    You could be saving money every month on databases costs with a smarter data retention policy. One of the primary reasons, and a huge benefit of partitioning is using it to automatically archive your data. For example, you might have a huge log table. For business purposes, you need to keep this data for 30 days. This table grows continually over time and keeping all the data makes database maintenance challenging. With time-based partitioning, you can simply archive off data older than 30 days....

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