Crunchy Bridge

Fully Managed Postgres as a Service

The managed PostgreSQL database service that allows you to focus on your application, not your database. Harness the power of Postgres on the cloud provider of your choice with trusted Crunchy Data support.

Crunchy Bridge cluster dashboard
Crunchy Bridge cluster dashboard

Production-ready, developer friendly

Your database doesn’t have to be the enemy - we make it easy for you to get started, build interesting things, and get to production without needing a DBA crash course.

The power of Postgres

Postgres is a powerful database that includes rich datatypes, indexing, and functionality. You get all the batteries included of Postgres along with a host of extensions to go even further.

AWS and Azure availability map

Cross Cloud Replication

  • Choose between AWS and Azure
  • Replicas available in other regions
  • Replicas available across infrastructure provider

Security

  • Encryption at rest
  • Encryption in transit

Data Safety

  • Backups automatically taken and tested for you
  • Built-in point in time recovery to any time in last seven days
  • Multi-AZ high availability supported
  • Cross region standbys for disaster recovery
  • Cross cloud standbys for cross cloud redundancy

Extensions

Allowing Postgres to add new data types, new functions, and new functionality without waiting on a release of the Postgres core.

PostGIS

an advanced open source spatial database extension in PostgreSQL

PG Audit

an open source audit log generator for PostgreSQL

pg_stat_statements

a means for tracking execution statistics of all SQL statements executed by a server

MADlib

an open-source library for scalable in-database analytics

pg_partman

create and manage both time-based and serial-based table partition sets

pg_cron

a simple cron-based job scheduler

Language Support

Need to do some more advanced learning on your database but don't want to write PL/pgSQL?

Python - PL/Python

Leverage the powerful capabilities of Python against your database, including SciPy, NumPy, and Pandas

R - PL/R

Take advantage of R for statistical computation directly inside your database