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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

FalkorDB is an exceptionally rapid, multi-tenant graph database that is finely tuned for GraphRAG, ensuring accurate and relevant AI/ML outcomes while minimizing hallucinations and boosting efficiency. By utilizing sparse matrix representations alongside linear algebra, it adeptly processes intricate, interconnected datasets in real-time, leading to a reduction in hallucinations and an increase in the precision of responses generated by large language models. The database is compatible with the OpenCypher query language, enhanced by proprietary features that facilitate expressive and efficient graph data querying. Additionally, it incorporates built-in vector indexing and full-text search functions, which allow for intricate search operations and similarity assessments within a unified database framework. FalkorDB's architecture is designed to support multiple graphs, permitting the existence of several isolated graphs within a single instance, which enhances both security and performance for different tenants. Furthermore, it guarantees high availability through live replication, ensuring that data remains perpetually accessible, even in high-demand scenarios. This combination of features positions FalkorDB as a robust solution for organizations seeking to manage complex graph data effectively.

Description

InfiniteGraph is a massively scalable graph database specifically designed to excel at high-speed ingest of massive volumes of data (billions of nodes and edges per hour) while supporting complex queries. InfiniteGraph can seamlessly distribute connected graph data across a global enterprise. InfiniteGraph is a schema-based graph database that supports highly complex data models. It also has an advanced schema evolution capability that allows you to modify and evolve the schema of an existing database. InfiniteGraph’s Placement Management Capability allows you to optimize the placement of data items resulting in tremendous performance improvements in both query and ingest. InfiniteGraph has client-side caching which caches frequently used node and edges. This can allow InfiniteGraph to perform like an in-memory graph database. InfiniteGraph's DO query language enables complex "beyond graph" queries not supported by other graph databases.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
ChatGPT Yes 
Cognee Yes 
DSPy Yes 
Docker Yes 
Gemini Yes 
Gemini Enterprise Yes 
Google Cloud Platform Yes 
LangChain Yes 
Llama Yes 
Mem0 Yes 
Microsoft Azure Yes 
Netlify Yes 
OpenAI Yes 
Vercel Yes 

Integrations

Amazon Web Services (AWS) No 
ChatGPT No 
Cognee No 
DSPy No 
Docker No 
Gemini No 
Gemini Enterprise No 
Google Cloud Platform No 
LangChain No 
Llama No 
Mem0 No 
Microsoft Azure No 
Netlify No 
OpenAI No 
Vercel No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

InfiniteGraph is priced in a number of different ways to meet our customer's requirements.

They include:
- subscription pricing
- core-based pricing
- OEM pricing
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

FalkorDB

Founded

2023

Country

Israel

Website

www.falkordb.com

Vendor Details

Company Name

Objectivity

Founded

1988

Country

United States

Website

www.infinitegraph.com

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