vs

ActivePivot vs Apache Kylin

ActivePivot: In-memory OLAP aggregation engine for bank risk analytics, renamed Atoti Server by ActiveViam. Apache Kylin: OLAP engine that pre-computes cubes and aggregate indexes for sub-second SQL on huge datasets.

key differences

  • Licensing: ActivePivot is proprietary (Proprietary (Atoti EULA; free community edition of the Python SDK)); Apache Kylin is open source (permissive) (Apache License 2.0).
  • Apache Kylin is built for larger datasets (Multi-PB) than ActivePivot (≤ 10 TB).
  • Transactions: ActivePivot offers limited ACID; Apache Kylin offers none.
  • Only ActivePivot has transactions, in-memory, time travel, streaming ingest.
  • Only Apache Kylin has materialized views.

choose activepivot for

  • +Market risk and FRTB capital calculations
  • +Real-time P&L and limits monitoring on trading desks
  • +What-if and scenario analysis on granular positions
  • +Excel/MDX front ends over large in-memory cubes

best at · OLAP, Real-time analytics, Tick data

choose apache-kylin for

  • +Enterprise BI dashboards with fixed dimensions
  • +Replacing legacy MOLAP cubes
  • +High-concurrency reporting

best at · OLAP, Warehouse

overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational
Relational
Type
Database engine
Database engine
Status
Active
Active
Developer
ActiveViam (formerly Quartet FS)
Apache Software Foundation
First release
2005
2014
Latest version
–
5.0.5 (Jul 13, 2026)
License
ProprietaryProprietary (Atoti EULA; free community edition of the Python SDK)
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
3.4
16.9
Rank
#436
#196
GitHub stars
–
3.8K
Stack Overflow questions
–
154
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Limited
None
Consistency
Strong
Eventual
Schema
Strict
Strict
Architecture
In memory, Client server, Distributed
Distributed, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
—
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
–
–
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
MDX
SQL (ANSI)
Client languages
Java, Python
Java, Python
Best for
OLAP, Real-time analytics, Tick data
OLAP, Warehouse

ActivePivot vs Apache Kylin: FAQ

What is the difference between ActivePivot and Apache Kylin?

ActivePivot: In-memory OLAP aggregation engine for bank risk analytics, renamed Atoti Server by ActiveViam. Apache Kylin: OLAP engine that pre-computes cubes and aggregate indexes for sub-second SQL on huge datasets. Licensing: ActivePivot is proprietary (Proprietary (Atoti EULA; free community edition of the Python SDK)); Apache Kylin is open source (permissive) (Apache License 2.0). Apache Kylin is built for larger datasets (Multi-PB) than ActivePivot (≤ 10 TB). Transactions: ActivePivot offers limited ACID; Apache Kylin offers none.

When should I choose ActivePivot over Apache Kylin?

Choose ActivePivot for market risk and FRTB capital calculations; real-time P&L and limits monitoring on trading desks; and what-if and scenario analysis on granular positions. Choose Apache Kylin for enterprise BI dashboards with fixed dimensions, replacing legacy MOLAP cubes and high-concurrency reporting.

Is ActivePivot or Apache Kylin more popular?

Apache Kylin ranks #196 on the WhichDB Score (16.9/100) and ActivePivot ranks #436 (3.4/100). Popularity is not fit: check the requirements that matter for your project.

Are ActivePivot and Apache Kylin open source?

No. ActivePivot is proprietary, closed-source software. Yes. Apache Kylin is open source. License: Apache License 2.0.