TL;DR - TigerGraph
- TigerGraph is a graph database for advanced analytics and AI
- It handles deep link analysis with enterprise-scale performance
- Free tier available, enterprise pricing for production
Pricing: Free plan available
Best for: Growing teams
4.7/5 across review platforms
Pros & Cons
Pros
- Graph database
- Good performance
- Enterprise ready
- Active development
- Good for analytics
Cons
- Expensive
- Learning curve
- Complex platform
- Less known than Neo4j
- Enterprise focus
Ratings Across the Web
4.7(12 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Graph databaseAnalyticsReal-timeGSQLDistributedEnterprise
Pricing Plans
Free TrialSavanna Cloud
Custom
- Pay-per-use
- Compute + storage
- Metered billing
Enterprise
Custom
- On-premises
- Unlimited storage
- Professional support
About TigerGraph
By Toolradar Team·
TigerGraph handles connected data with native parallel graph. Graph database built for scale—relationships at enterprise volume.
The parallelism matters for scale. The graph queries are expressive. The enterprise features exist.
Organizations with massive graph data explore TigerGraph for scaled graph analytics.
Reviews
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TigerGraph FAQ
Is TigerGraph free?
TigerGraph has a free tier for development. Enterprise pricing varies based on deployment size and features.
What is TigerGraph?
TigerGraph is a graph analytics platform designed for massive scale. It handles billions of vertices and edges for real-time graph queries and analytics.
TigerGraph vs Neo4j?
TigerGraph is designed for larger scale graph analytics. Neo4j is more popular with a larger community. Choose TigerGraph for enterprise-scale graph processing.
Source: tigergraph.com