vs

ActivePivot vs kdb+

ActivePivot: In-memory OLAP aggregation engine for bank risk analytics, renamed Atoti Server by ActiveViam. kdb+: Column-store time-series engine with the q language, a fixture of capital-markets tick data.

key differences

  • ActivePivot is primarily a columnar / OLAP database; kdb+ is time-series.
  • kdb+ is built for larger datasets (≤ 1 PB) than ActivePivot (≤ 10 TB).
  • Horizontal scaling is native in ActivePivot and manual in kdb+.
  • Only ActivePivot has transactions, role-based access, time travel.
  • Only kdb+ has secondary indexes, json, stored procedures, pub/sub, encryption at rest.

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 kdb-plus for

  • +Equities, FX and futures tick capture
  • +Trade surveillance and best-execution analysis
  • +Quant research on historical market data
  • +Real-time risk and P&L

best at · Tick data, Time-series, Real-time analytics

overview
Primary model
Columnar / OLAP
Time-Series
Also supports
Relational
Columnar / OLAP, Relational
Type
Database engine
Database engine
Status
Active
Active
Developer
ActiveViam (formerly Quartet FS)
KX
First release
2005
2003
Latest version
–
KDB-X 5.0.20261015 (Oct 15, 2026)
License
ProprietaryProprietary (Atoti EULA; free community edition of the Python SDK)
ProprietaryCommercial; KDB-X Community Edition free with resource limits
Free tier
✓
✓
popularity
WhichDB Score
3.4
31.8
Rank
#436
#75
GitHub stars
–
–
Stack Overflow questions
–
2.3K
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Large (≤ 1 PB)
Horizontal scaling
Native
Manual
Multi-region
None
None
ACID
Limited
Limited
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
In memory, Client server, Distributed
In memory, Single node, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
–
AWS
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
q, qSQL, Python (PyKX)
Client languages
Java, Python
Python, Java, C, C#
Best for
OLAP, Real-time analytics, Tick data
Tick data, Time-series, Real-time analytics, Streaming

ActivePivot vs kdb+: FAQ

What is the difference between ActivePivot and kdb+?

ActivePivot: In-memory OLAP aggregation engine for bank risk analytics, renamed Atoti Server by ActiveViam. kdb+: Column-store time-series engine with the q language, a fixture of capital-markets tick data. ActivePivot is primarily a columnar / OLAP database; kdb+ is time-series. kdb+ is built for larger datasets (≤ 1 PB) than ActivePivot (≤ 10 TB). Horizontal scaling is native in ActivePivot and manual in kdb+.

When should I choose ActivePivot over kdb+?

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 kdb+ for equities, FX and futures tick capture; trade surveillance and best-execution analysis; and quant research on historical market data.

Is ActivePivot or kdb+ more popular?

kdb+ ranks #75 on the WhichDB Score (31.8/100) and ActivePivot ranks #436 (3.4/100). Popularity is not fit: check the requirements that matter for your project.

Are ActivePivot and kdb+ open source?

No. ActivePivot is proprietary, closed-source software. No. kdb+ is proprietary, closed-source software. License: Commercial; KDB-X Community Edition free with resource limits.