Crunchy Bridge

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by Crunchy Data (Snowflake) · since 2020 · also known as Crunchy Data Bridge, Crunchy Bridge for Analytics

Crunchy Data's developer-friendly managed Postgres across AWS, GCP and Azure, now owned by Snowflake.

relationaldocumentspatialvectormanaged serviceproprietarymature

Overview

Crunchy Bridge is the managed PostgreSQL service from Crunchy Data, a long-time Postgres contributor whose team joined Snowflake in 2025 and now builds Snowflake Postgres. Bridge runs community Postgres on AWS, Google Cloud or Azure, with superuser-level access, a broad extension set (PostGIS, pgvector, pg_cron, pg_partman), per-minute billing and strong support from Postgres experts. Its analytics offering embeds a DuckDB-based engine to query and write Iceberg and Parquet data in object storage from Postgres. Bridge remains on sale and supported, but new feature investment is now directed at Snowflake Postgres, so weigh the roadmap if you are starting fresh.

Strengths & trade-offs

Strengths

  • +Runs on AWS, GCP or Azure with cross-cloud replicas
  • +Superuser-level access and a wide extension catalog
  • +Postgres expert support from long-time core contributors
  • +Iceberg/Parquet analytics from Postgres via an embedded DuckDB engine
  • +Simple per-minute billing

Trade-offs

  • −Roadmap uncertainty after the Snowflake acquisition
  • −No free tier, branching or scale-to-zero
  • −Single-writer scaling only
  • −Smaller platform surface than hyperscaler Postgres services

Great for

  • +Production Postgres for teams wanting cloud choice
  • +PostGIS-heavy geospatial applications
  • +Querying data lakes in Iceberg from Postgres
  • +Teams that value hands-on Postgres expertise in support

Think twice for

  • −Hobby projects needing a free tier
  • −Write workloads needing sharding
  • −Ephemeral preview databases

Capabilities

Native or official first-party support · 15 of 25 tracked

✓Transactions
✓Joins
✓Secondary indexes
✓Full-text search
✓Vector search
✓Geospatial
✓JSON
✓Change data capture
✓Triggers
✓Stored procedures
✓Materialized views
✓Pub/Sub
✓Durable persistence
✓Encryption at rest
✓Role-based access
–TTL / expiry
–Columnar storage
–In-memory
–Compression
–Time travel
–Branching
–Online schema changes
–Streaming ingest
–Offline sync
–Runs in WebAssembly

Scale & consistency

Comfortable data size
Medium · ≤ 10 TB
Horizontal scaling
None
Multi-region
Read replicas
Transactions
Full ACID
Consistency
Strong
Schema
Strict
Architecture
Primary replica, Client server
Query languages
SQL, PL/pgSQL

Vertical scaling with HA standby and read replicas, including cross-region and cross-cloud replicas.

Deployment

Self-hosted Vendor-managed cloud Serverless Embedded Edge Kubernetes operator

available on · AWS · Google Cloud · Azure

Ecosystem

compatible withPostgreSQL, S3
apis & protocolsPostgreSQL wire protocol, Platform REST API, CLI (cb)
client languagesJava, Python, JavaScript, Go, Ruby, C#, PHP, Rust

Alternatives to Crunchy Bridge

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Amazon RDSRelational27.1

AWS's managed service for six relational engines: PostgreSQL, MySQL, MariaDB, Oracle, SQL Server and Db2.

crunchy-bridge vs amazon-rds →
NeonRelational30.4

Serverless Postgres with copy-on-write branching and scale-to-zero, now part of Databricks.

crunchy-bridge vs neon →
SupabaseRelational54.3

Open-source Postgres backend platform: database, auth, storage, realtime and edge functions in one project.

crunchy-bridge vs supabase →
PlanetScaleRelational25.7

Performance-focused managed MySQL (Vitess) and Postgres, with NVMe-backed Metal clusters and branching.

crunchy-bridge vs planetscale →
Google Cloud SQLRelational10.9

Google Cloud's managed MySQL, PostgreSQL and SQL Server, with an Enterprise Plus tier for fast failover.

crunchy-bridge vs google-cloud-sql →
Azure Database for PostgreSQLRelational4.9

Microsoft's managed community PostgreSQL, with zone-redundant HA, DiskANN vectors and Citus elastic clusters.

crunchy-bridge vs azure-database-for-postgresql →

Crunchy Bridge FAQ

What is Crunchy Bridge?

Crunchy Bridge is a relational database by Crunchy Data (Snowflake), first released in 2020. Crunchy Bridge is the managed PostgreSQL service from Crunchy Data, a long-time Postgres contributor whose team joined Snowflake in 2025 and now builds Snowflake Postgres. Bridge runs community Postgres on AWS, Google Cloud or Azure, with superuser-level access, a broad extension set (PostGIS, pgvector, pg_cron, pg_partman), per-minute billing and strong support from Postgres experts. Its analytics offering embeds a DuckDB-based engine to query and write Iceberg and Parquet data in object storage from Postgres. Bridge remains on sale and supported, but new feature investment is now directed at Snowflake Postgres, so weigh the roadmap if you are starting fresh.

Is Crunchy Bridge open source?

No. Crunchy Bridge is proprietary, closed-source software.

Does Crunchy Bridge support ACID transactions?

Yes. Crunchy Bridge supports full ACID transactions, with strong consistency.

Does Crunchy Bridge scale horizontally?

Crunchy Bridge does not scale horizontally; it runs on a single node, so you scale it up rather than out. It is comfortable at medium scale (≤ 10 TB). It supports cross-region read replicas.

How can I run Crunchy Bridge?

You can use the vendor's managed cloud. It is available on AWS, Google Cloud and Azure.

What is Crunchy Bridge best for?

Crunchy Bridge is a strong fit for production Postgres for teams wanting cloud choice, PostGIS-heavy geospatial applications and querying data lakes in Iceberg from Postgres. Think twice for hobby projects needing a free tier.

What are the best alternatives to Crunchy Bridge?

Common alternatives to Crunchy Bridge include Amazon RDS, Neon, Supabase, PlanetScale and Google Cloud SQL. The right choice depends on your workload, scale and hosting; WhichDB's smart match ranks them against your requirements.

How popular is Crunchy Bridge?

Crunchy Bridge ranks #665 of 844 databases on the WhichDB Score (0.2/100), and #200 among relational databases. The score combines public adoption signals such as package downloads, GitHub activity, job posts and developer discussion.