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TigerGraph vs Ultipa

TigerGraph: Distributed MPP graph database built for deep-link analytics on very large graphs. Ultipa: Commercial distributed graph database marketed as built natively for ISO GQL.

key differences

  • Only TigerGraph has compression, encryption at rest, streaming ingest.
  • Only Ultipa has in-memory.
  • Ultipa can run embedded in your application process.

choose tigergraph for

  • +Real-time fraud and AML detection
  • +Supply chain and network analysis
  • +Customer 360 and entity resolution
  • +Recommendation engines over large catalogs

best at · Graph analytics, Traversal, Real-time analytics

choose ultipa for

  • +Real-time risk and fraud graphs in finance
  • +Supply-chain and network path analysis
  • +Teams standardizing on ISO GQL
  • +Graph-augmented RAG

best at · Traversal, Graph analytics, Real-time analytics

TigerGraphDistributed MPP graph database built for deep-link analytics on very large graphs.
UltipaCommercial distributed graph database marketed as built natively for ISO GQL.
overview
Primary model
Graph
Graph
Also supports
Vector
Vector
Type
Database engine
Database engine
Status
Active
Active
Developer
TigerGraph, Inc.
Ultipa, Inc.
First release
2017
2019
Latest version
4.2.5 (Sep 2, 2026)
–
License
ProprietaryProprietary (free Community Edition)
ProprietaryProprietary (free Community Edition)
Free tier
✓
✓
popularity
WhichDB Score
16.6
0.0
Rank
#198
#835
GitHub stars
–
–
Stack Overflow questions
38
–
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
Read replicas
None
ACID
Full
Full
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Distributed, Client server
Distributed, In memory, Client server, Embedded
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
GSQL, openCypher, GQL
GQL, UQL
Client languages
Python (pyTigerGraph), Java, JavaScript, Go
Java, Python, Go, JavaScript, C#
Best for
Graph analytics, Traversal, Real-time analytics, Knowledge graph
Traversal, Graph analytics, Real-time analytics, RAG
Add more to this comparisonNot sure either fits? Try smart match

TigerGraph vs Ultipa: FAQ

What is the difference between TigerGraph and Ultipa?

TigerGraph: Distributed MPP graph database built for deep-link analytics on very large graphs. Ultipa: Commercial distributed graph database marketed as built natively for ISO GQL. Only TigerGraph has compression, encryption at rest, streaming ingest. Only Ultipa has in-memory. Ultipa can run embedded in your application process.

When should I choose TigerGraph over Ultipa?

Choose TigerGraph for real-time fraud and AML detection; supply chain and network analysis; and customer 360 and entity resolution. Choose Ultipa for real-time risk and fraud graphs in finance; supply-chain and network path analysis; and teams standardizing on ISO GQL.

Is TigerGraph or Ultipa more popular?

TigerGraph ranks #198 on the WhichDB Score (16.6/100) and Ultipa ranks #835 (0.0/100). Popularity is not fit: check the requirements that matter for your project.

Are TigerGraph and Ultipa open source?

No. TigerGraph is proprietary, closed-source software. No. Ultipa is proprietary, closed-source software.