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KatanaGraph

A graph computation library focused on parallel analytics and machine learning on large graphs. Features multithreaded execution with load balancing across multi-socket systems.

Visit website GitHub 104 stars
Overall rank
#74
First released
November 2020
License
BSD-3-Clause
Built with
C++

Details

Vendor
Katana Graph
Type
Other
Kind
Embedded
Category
Emerging
Status
Inactive — Katana Graph shut down in 2023. GitHub repositories archived.
License
BSD-3-Clause
Language
C++
Query Languages
openCypher

Feature scores

Community & Business

Active development
0%
No updates in 6+ months
Commercial support
✓
Paid support available
Live community
50%
25-50% of issues addressed
Open Source
✓
Open source license
Pricing
✓
Pricing publicly available
Trendiness
✓
Growing or stable trend

Deployment

Containerization
0%
No container image
Work as dedicated instance
0%
Embedded mode only
Work as embedded
0%
Standalone only
Testing in-memory version
0%
No in-memory option

Platform

Operating on Linux
✓
Linux officially supported
Operating on Windows
0%
Not supported
SaaS offering
0%
Self-hosted only

Operations

Automatic updates
0%
Manual updates only
Client side caching
0%
No client-side caching
Data versioning support
0%
No versioning
Live backups
0%
No live backups

Distribution

Cluster Re-balancing
✓
Auto-rebalancing supported
Data Distribution
✓
Data sharding supported
High-Availability
0%
No HA support
Query Distribution
0%
No distributed queries
Replication support
0%
No replication

Developer Experience

Data types defined
✓
Composite data types
Logging/Auditing
0%
No logging/auditing
Object-Graph Mapper
0%
No object mapper
Reactive programming
0%
No reactive programming
Documentation up-to-date
0%
No documentation
Binary protocol
0%
Text-based protocols only
CLI
0%
No CLI
GUI
0%
No GUI

Data Model

Multi-database
0%
Graph-only
Graph-native data
✓
Native graph storage
REST API
0%
No REST API
Query Language
0%
No query language

Transactions

Granular locking
0%
No granular locking
Multiple isolation levels
0%
Read uncommitted only
Read committed transaction
0%
Not available
Transaction support
✓
ACID transactions

Schema & Security

Constraints
0%
No constraints
Schema support
0%
Schema-less
Secondary indexes
0%
Primary index only
Server side procedures
0%
No stored procedures
Triggers
0%
No triggers
Authentication
0%
No authentication
Authorization
0%
No authorization
Data encryption
0%
No encryption
Sources 5 references

License BSD-3-Clause

Confirms current value; GitHub's own licence detector shows NOASSERTION for the repo, but the README states BSD-3-Clause explicitly.

  • Katana is released under the BSD-3-Clause license.
    KatanaGraph/katana · reviewed 2026-08-02

Released 2020-11

Repository first published November 2020, months before the company’s Series A. Only development builds existed at that point, so this is first public availability rather than a stable release.

Language C++

Confirms current value C++; GitHub's own language breakdown also shows the repository is 80.5% C++, with Python bindings on top.

  • A modern C++ compiler compliant with the C++-17 standard (gcc >= 7, Intel >= 19.0.1, clang >= 7.0)
    KatanaGraph/katana · reviewed 2026-08-02

url https://web.archive.org/web/20241228015629/https://katanagraph.ai/

katanagraph.ai now times out with no live replacement; this is the last available Wayback Machine capture of the vendor's marketing site.

  • A groundbreaking graph intelligence platform means next-level graph query, analytics, AI and mining fueled by an unparalleled combination of novel graph algorithms, graph neural network architectures and hardware acceleration.
    Breakthrough Graph Intelligence Platform :: Katana Graph · reviewed 2026-08-02

status inactive

A former Katana Graph engineer reported most of the engineering team was laid off in mid-2023; the company's GitHub development had already stalled and its site is now unreachable. A paid company-data aggregator (PrivCo) lists a 2024 asset acquisition by a PE firm, but its financial figures for this company appear templated/unreliable and are not used as evidence.