Crunchy Data joins Snowflake. Read the announcement
Craig Kerstiens
Craig Kerstiens
When we first launched Crunchy Bridge a key theme we wanted to deliver on was production ready Postgres. We made sure we launched with high availability, Postgres major version upgrades, and backups fully included. At that time, and still to this day, our backup mechanism helps to provide disaster recovery. Backups and disaster recovery is still built-in across all Crunchy Bridge plans, even at $10 a month. Folks love that a database on us comes with backups included right out of the box. Our ba...
Read MoreCraig Kerstiens
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...
Read MoreMarco Slot
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...
Read MoreMarco Slot
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...
Read MoreCraig Kerstiens
Craig Kerstiens
While database migrations are not an everyday thing for you, they are for us. Migrating to a new database provider isn't something you ever take lightly. Once you've come to the decision that you may want to migrate then you look at the time and effort cost of switching, only to wonder if it's really worth it. You decide it is, and still you're left with uncertainty of what-if: • What about Postgres versions? • What about Postgres extensions? • What about collations? • How do you minimize cutove...
Read MoreCraig Kerstiens
Craig Kerstiens
Today we're excited to release a big update to our Crunchy Bridge CLI: a new interactive menu for psql! Now when connecting to your Crunchy Bridge database with you'll have a option. The menu is an easy to navigate collection of insights about your database. All of these insights are powered by data already contained in Postgres system catalogs. We have these same database insights in the dashboard, so this feature extends that to those working directly from the command line. Before we add...
Read MoreCraig Kerstiens
Craig Kerstiens
I'm excited to announce support for the Citus extension for Postgres on Crunchy Bridge . This means you can have a fully managed Citus experience on any cloud (AWS, Azure, or GCP) managed by the Postgres experts at Crunchy Data. If you're unfamiliar with Citus it's an extension to PostgreSQL that turns Postgres into a distributed/sharded, horizontally scalable database. Citus excels with multi-tenant workloads, real time analytics use cases, and handling time series data. While the core of Ci...
Read MoreChristopher Winslett
Christopher Winslett
Automating pull requests to deploy staging applications is a game changer for large teams performing shipping quality products. Using Crunchy Bridge ’s CLI or API, you can easily automate the entire process for these staging deployments. The simplest workflow would look something like the following: In this example, during the “Create Postgres Cluster”, we’ll create a hobby-0 cluster for Postgres. Then, when the PR is closed the cluster will be torn down. We keep it simple for this example, bu...
Read MoreCraig Kerstiens
Craig Kerstiens
Today we're excited to announce several big improvements to Crunchy Bridge to make it easier to work with your database without having to become a DBA. Today we're releasing: • Database insights: Real-time indicators to ensure a healthy database • Metrics: Monitor your system over time • Production check: Ensure you're ready for launch day Database insights: Real-time indicators to ensure a healthy database Metrics: Monitor your system over time Production check: Ensure you're ready for launch...
Read MoreChristopher Winslett
Christopher Winslett
"Last time I had data like this, I stored the data in MongoDB." --Me, last week. I told this to a friend while talking through some of their data problems. As Craig likes to say, Crunchy Data is "Just Postgres" , but we also know there are some clear cut use cases where Postgres isn’t the perfect tool for the job. Don’t get us wrong, Postgres is an amazing database and we strongly believe what you should start with for most applications, but that doesn’t mean you can’t benefit from more tha...
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