vs

Exasol vs Vertica

Exasol: In-memory MPP columnar analytics database from Germany, tuned for fast BI with little tuning. Vertica: Veteran MPP columnar analytics database from the C-Store lineage, now owned by Rocket Software.

key differences

  • Vertica is built for larger datasets (Multi-PB) than Exasol (≤ 1 PB).
  • Only Exasol has in-memory.
  • Only Vertica has full-text search, materialized views, time travel, online schema changes, streaming ingest.

choose exasol for

  • +BI acceleration layer for Tableau or Power BI
  • +EU data-sovereign analytics
  • +Replacing slow legacy warehouses
  • +In-database data science

best at · Warehouse, OLAP

choose vertica for

  • +Large on-prem or hybrid enterprise warehouses
  • +Telecom and IoT analytics
  • +Time-series analytics with SQL
  • +Embedded analytics in software products

best at · Warehouse, OLAP, Real-time analytics

overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational, Spatial
Relational, Time-Series, Spatial, Document
Type
Database engine
Database engine
Status
Active
Active
Developer
Exasol AG
Rocket Software
First release
2000
2005
Latest version
2026.1.0 (May 26, 2026)
26.3 (2026)
License
ProprietaryProprietary
ProprietaryProprietary (free Community Edition up to 1 TB)
Free tier
✓
✓
popularity
WhichDB Score
31.0
33.1
Rank
#83
#67
GitHub stars
–
–
Stack Overflow questions
89
1.5K
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Full
Full
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Distributed, In memory, Client server
Distributed, Shared storage
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
AWS, Azure, Google Cloud
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, Lua, Python UDFs, R UDFs, Java UDFs
SQL, PL/vSQL
Client languages
Python, Java, .NET, Go, JavaScript
Python, Java, JavaScript, Go, .NET, C
Best for
Warehouse, OLAP
Warehouse, OLAP, Real-time analytics, Time-series

Exasol vs Vertica: FAQ

What is the difference between Exasol and Vertica?

Exasol: In-memory MPP columnar analytics database from Germany, tuned for fast BI with little tuning. Vertica: Veteran MPP columnar analytics database from the C-Store lineage, now owned by Rocket Software. Vertica is built for larger datasets (Multi-PB) than Exasol (≤ 1 PB). Only Exasol has in-memory. Only Vertica has full-text search, materialized views, time travel, online schema changes, streaming ingest.

When should I choose Exasol over Vertica?

Choose Exasol for BI acceleration layer for Tableau or Power BI, EU data-sovereign analytics and replacing slow legacy warehouses. Choose Vertica for large on-prem or hybrid enterprise warehouses; telecom and IoT analytics; and time-series analytics with SQL.

Is Exasol or Vertica more popular?

Vertica ranks #67 on the WhichDB Score (33.1/100) and Exasol ranks #83 (31.0/100). Popularity is not fit: check the requirements that matter for your project.

Are Exasol and Vertica open source?

No. Exasol is proprietary, closed-source software. No. Vertica is proprietary, closed-source software.