Milvus
Billion-scale vector search
TigerGraph: Vector Databases
Founded 2012|Redwood City, CA|101-250 employees
What is TigerGraph?
TigerGraph provides a platform specially designed for advanced analytics and machine learning on interconnected data, powered by the industry's first distributed native graph database. Founded in 2012 and headquartered in Redwood City, California, TigerGraph combines graph database capabilities with vector search functionality in a single server, offering built-in roles, multiple query languages & APIs, and UI tools. Key applications include fraud detection, anti-money laundering, entity resolution, customer profiling, recommendation systems, knowledge graph formulation, cybersecurity, supply chain management, IoT analytics, and network analysis. TigerGraph Savanna offers a flexible and transparent pricing model designed to accommodate a wide range of usage scenarios, from small-scale projects to large enterprise deployments. Pricing is based on virtual machine instances and storage capacity consumed, with storage, compute, and add-ons charged with granular measurement. Having raised $205M in funding, TigerGraph serves enterprises requiring advanced graph analytics combined with vector search capabilities.
Strengths and tradeoffs
What this tool does well, and the limitations to keep in mind.
Pros
- Industry-first distributed native graph database with vector capabilities
- Powerful for interconnected data analytics and machine learning
- Flexible pricing with granular measurement (1-minute for compute)
- Comprehensive use cases: fraud detection, recommendations, cybersecurity, knowledge graphs
- Graph + Vector DB on single server simplifies architecture
Cons
- Steeper learning curve for teams unfamiliar with graph databases
- May be over-engineered for simple vector search use cases
- Smaller community compared to more popular vector databases
- Pricing details require consultation for accurate estimates
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Try Respan freeBest TigerGraph alternatives & competitors
Top companies in Vector Databases you can use instead of TigerGraph.
Pinecone
Fully managed serverless vector database
Qdrant
High-performance open-source vector search
Chroma
Lightweight embedded vector database
Supabase
pgvector hosting
Weaviate
Open-source vector database
Neo4j
Native graph database with Cypher query language
MongoDB Atlas Vector Search
Elasticsearch
Redis Vector
ClickHouse
Analytics + vector
Neon
Serverless Postgres
Vespa
LanceDB
Turbopuffer
SingleStore
ArangoDB
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