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Materialize vs pg_ivm

Materialize: A Postgres-compatible operational data warehouse that keeps SQL views incrementally up to date. pg_ivm: A Postgres extension that keeps materialized views updated incrementally inside the same transaction.

key differences

  • Licensing: Materialize is source-available (Business Source License 1.1); pg_ivm is open source (permissive) (PostgreSQL License).
  • Materialize is built for larger datasets (≤ 10 TB) than pg_ivm (≤ 100 GB).
  • Horizontal scaling is native in Materialize and none in pg_ivm.
  • Transactions: Materialize offers limited ACID; pg_ivm offers full.
  • Only Materialize has secondary indexes, json, change data capture, encryption at rest, role-based access.
  • Only pg_ivm has triggers.

choose materialize for

  • +Real-time operational dashboards over OLTP data
  • +Fresh feature serving for ML and personalization
  • +Replacing hand-written cache invalidation with SQL views
  • +Event-driven alerting on joined streams

best at · Streaming, Real-time analytics, Feature store

choose pg-ivm for

  • +Always-fresh summary tables for dashboards
  • +Replacing periodic REFRESH MATERIALIZED VIEW jobs

best at · Real-time analytics, OLTP

MaterializeA Postgres-compatible operational data warehouse that keeps SQL views incrementally up to date.
pg_ivmA Postgres extension that keeps materialized views updated incrementally inside the same transaction.
overview
Primary model
Relational
Relational
Also supports
–
–
Type
Database engine
Extension
Status
Active
Active
Developer
Materialize, Inc.
SRA OSS (IVM Development Group)
First release
2020
2022
Latest version
v26.47.1 (Oct 23, 2026)
1.17 (Oct 18, 2026)
License
Source-availableBusiness Source License 1.1
Open source (permissive)PostgreSQL License
Free tier
✓
✓
popularity
WhichDB Score
15.7
6.4
Rank
#205
#363
GitHub stars
6.4K
1.5K
Stack Overflow questions
3.6K
–
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Small (≤ 100 GB)
Horizontal scaling
Native
None
Multi-region
None
None
ACID
Limited
Full
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Distributed, Shared storage, Client server
Single node, Primary replica, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
—
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
AWS, Google Cloud, Azure
–
capabilities
Transactions
✓
✓
Joins
✓
✓
Secondary indexes
✓
—
Full-text search
—
—
Vector search
—
—
Geospatial
—
—
JSON
✓
—
Change data capture
✓
—
Triggers
—
✓
Stored procedures
—
—
Materialized views
✓
✓
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
—
—
Encryption at rest
✓
—
Role-based access
✓
—
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
✓
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
SQL
SQL
Client languages
Python, Java, JavaScript, Go, Rust, C#, Ruby
Any Postgres driver
Best for
Streaming, Real-time analytics, Feature store, Cache
Real-time analytics, OLTP
Add more to this comparisonNot sure either fits? Try smart match

Materialize vs pg_ivm: FAQ

What is the difference between Materialize and pg_ivm?

Materialize: A Postgres-compatible operational data warehouse that keeps SQL views incrementally up to date. pg_ivm: A Postgres extension that keeps materialized views updated incrementally inside the same transaction. Licensing: Materialize is source-available (Business Source License 1.1); pg_ivm is open source (permissive) (PostgreSQL License). Materialize is built for larger datasets (≤ 10 TB) than pg_ivm (≤ 100 GB). Horizontal scaling is native in Materialize and none in pg_ivm.

When should I choose Materialize over pg_ivm?

Choose Materialize for real-time operational dashboards over OLTP data; fresh feature serving for ML and personalization; and replacing hand-written cache invalidation with SQL views. Choose pg_ivm for always-fresh summary tables for dashboards and replacing periodic REFRESH MATERIALIZED VIEW jobs.

Is Materialize or pg_ivm more popular?

Materialize ranks #205 on the WhichDB Score (15.7/100) and pg_ivm ranks #363 (6.4/100). Popularity is not fit: check the requirements that matter for your project.

Are Materialize and pg_ivm open source?

Not in the OSI sense. Materialize is source-available: you can read the code, but the license restricts some uses, typically offering it as a competing managed service. License: Business Source License 1.1. Yes. pg_ivm is open source. License: PostgreSQL License.