vs

OrioleDB vs YugabyteDB

OrioleDB: Cloud-native storage engine for PostgreSQL with undo logs, no VACUUM bloat and row-level WAL. YugabyteDB: Apache-licensed distributed SQL that reuses the PostgreSQL query layer on a Raft-replicated storage engine.

key differences

  • YugabyteDB is built for larger datasets (≤ 1 PB) than OrioleDB (≤ 10 TB).
  • Horizontal scaling is none in OrioleDB and native in YugabyteDB.
  • Only YugabyteDB has full-text search, vector search, change data capture, materialized views, ttl / expiry.

choose orioledb for

  • +Write-heavy Postgres OLTP suffering from bloat
  • +Evaluating next-generation Postgres storage on Supabase
  • +High-concurrency workloads on large multi-core servers

best at · OLTP

choose yugabytedb for

  • +Scaling a Postgres application beyond one primary
  • +Multi-region customer and order data with zone/region resilience
  • +Retail and financial OLTP needing horizontal write capacity
  • +IoT and telemetry metadata with TTL on YCQL tables

best at · OLTP, Metadata, IoT

overview
Primary model
Relational
Relational
Also supports
–
Document, Wide-Column, Vector
Type
Extension
Database engine
Status
Active
Active
Developer
Supabase (OrioleDB team)
Yugabyte, Inc.
First release
2021
2017
Latest version
beta19 (Oct 1, 2026)
2026.1.2.0 (Sep 22, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
11.1
32.7
Rank
#287
#69
GitHub stars
4.3K
10.6K
Stack Overflow questions
–
370
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Large (≤ 1 PB)
Horizontal scaling
None
Native
Multi-region
Read replicas
Active active
ACID
Full
Full
Consistency
Strong
Strong, Tunable
Schema
Strict
Strict
Architecture
Single node, Primary replica, Shared storage
Distributed, Multi primary, 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, PL/pgSQL
SQL, PL/pgSQL, CQL
Client languages
C, Java, Python, JavaScript, Go, Rust
Java, Go, Python, JavaScript, C#, Rust, Ruby, C++
Best for
OLTP
OLTP, Metadata, IoT, Vector search

OrioleDB vs YugabyteDB: FAQ

What is the difference between OrioleDB and YugabyteDB?

OrioleDB: Cloud-native storage engine for PostgreSQL with undo logs, no VACUUM bloat and row-level WAL. YugabyteDB: Apache-licensed distributed SQL that reuses the PostgreSQL query layer on a Raft-replicated storage engine. YugabyteDB is built for larger datasets (≤ 1 PB) than OrioleDB (≤ 10 TB). Horizontal scaling is none in OrioleDB and native in YugabyteDB. Only YugabyteDB has full-text search, vector search, change data capture, materialized views, ttl / expiry.

When should I choose OrioleDB over YugabyteDB?

Choose OrioleDB for write-heavy Postgres OLTP suffering from bloat, evaluating next-generation Postgres storage on Supabase and high-concurrency workloads on large multi-core servers. Choose YugabyteDB for scaling a Postgres application beyond one primary; multi-region customer and order data with zone/region resilience; and retail and financial OLTP needing horizontal write capacity.

Is OrioleDB or YugabyteDB more popular?

YugabyteDB ranks #69 on the WhichDB Score (32.7/100) and OrioleDB ranks #287 (11.1/100). Popularity is not fit: check the requirements that matter for your project.

Are OrioleDB and YugabyteDB open source?

Yes. OrioleDB is open source. License: Apache License 2.0. Yes. YugabyteDB is open source. License: Apache License 2.0.