vs

Exasol vs Actian Analytics Engine (Vector)

Exasol: In-memory MPP columnar analytics database from Germany, tuned for fast BI with little tuning. Actian Analytics Engine (Vector): Actian's vectorized columnar analytics database, born from CWI's X100; renamed Analytics Engine in 2026.

key differences

  • Only Exasol has geospatial, json, stored procedures, in-memory.
  • Only Actian Analytics Engine (Vector) has secondary indexes, vector search.

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 vector for

  • +Enterprise data warehouses and data marts
  • +Sub-second BI dashboards on large fact tables
  • +On-prem analytics where data cannot leave the site
  • +Replacing ageing Netezza-class appliances

best at · OLAP, Warehouse, Real-time analytics

overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational, Spatial
Relational, Vector
Type
Database engine
Database engine
Status
Active
Active
Developer
Exasol AG
Actian (HCLSoftware)
First release
2000
2010
Latest version
2026.1.0 (May 26, 2026)
8.0 (Jul 31, 2026)
License
ProprietaryProprietary
ProprietaryCommercial
Free tier
✓
✓
popularity
WhichDB Score
31.0
3.7
Rank
#83
#428
GitHub stars
–
–
Stack Overflow questions
89
–
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Full
Full
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Distributed, In memory, Client server
Single node, Distributed, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
AWS, Azure, Google Cloud
–
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
Client languages
Python, Java, .NET, Go, JavaScript
Java, C, C#, Python
Best for
Warehouse, OLAP
OLAP, Warehouse, Real-time analytics, Vector search

Exasol vs Actian Analytics Engine (Vector): FAQ

What is the difference between Exasol and Actian Analytics Engine (Vector)?

Exasol: In-memory MPP columnar analytics database from Germany, tuned for fast BI with little tuning. Actian Analytics Engine (Vector): Actian's vectorized columnar analytics database, born from CWI's X100; renamed Analytics Engine in 2026. Only Exasol has geospatial, json, stored procedures, in-memory. Only Actian Analytics Engine (Vector) has secondary indexes, vector search.

When should I choose Exasol over Actian Analytics Engine (Vector)?

Choose Exasol for BI acceleration layer for Tableau or Power BI, EU data-sovereign analytics and replacing slow legacy warehouses. Choose Actian Analytics Engine (Vector) for enterprise data warehouses and data marts; sub-second BI dashboards on large fact tables; and on-prem analytics where data cannot leave the site.

Is Exasol or Actian Analytics Engine (Vector) more popular?

Exasol ranks #83 on the WhichDB Score (31.0/100) and Actian Analytics Engine (Vector) ranks #428 (3.7/100). Popularity is not fit: check the requirements that matter for your project.

Are Exasol and Actian Analytics Engine (Vector) open source?

No. Exasol is proprietary, closed-source software. No. Actian Analytics Engine (Vector) is proprietary, closed-source software. License: Commercial.