Memgraph
UnclaimedThe fastest, most affordable graph database for dynamic analytics and AI applications.
Visit WebsiteFreemiumVisit Website
TL;DR - Memgraph
- High-performance in-memory graph database for real-time analytics.
- Supports dynamic analytics, AI applications with GraphRAG, and vector search.
- Offers Community (free), Enterprise, and Cloud (managed) editions with flexible pricing.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Extremely fast for real-time analytics and high-velocity environments
- Affordable pricing model that scales with memory capacity, not compute or replicas
- Dedicated direct support from engineers via Slack channel
- Open-source Community Edition available for developers
- Includes vector search for enhanced AI applications
Cons
- Enterprise pricing starts at $25k per year, which may be a barrier for smaller businesses needing advanced features
- Cloud offering is currently in Beta
- Requires understanding of graph databases and query languages (like Cypher)
Ratings Across the Web
5(2 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Performant in-memory storage engineOn-disk persistency and backup with WAL and snapshotsHigh-availability replicationConnection to Kafka, Pulsar, and Redpanda data streamsVector Search capabilitiesAdvanced authentication modules (LDAP, external auth)Role and label-based access controlFull activity auditing
Pricing Plans
Free TrialCommunity Edition
Free
- Open source
- Production ready
- High availability replication
- Connection to streams
- Triggers
Enterprise Edition
Starting at $25k per year
- Advanced auth modules
- Role and label based access control
- LDAP integration
- Full activity auditing
- Support SLAs
Cloud
Contact us
- Hosted and fully-managed real-time streaming graph platform
- AWS storage in 6 regions
- Automatic updates
- Managed backup
- 1GB to 32GB RAM instances
What is Memgraph?
Memgraph is a high-performance, in-memory graph database designed for real-time analytics in demanding environments. It excels at handling over 1,000 transactions per second on both reads and writes, with graph sizes ranging from 100 GB to 4 TB. Memgraph is particularly well-suited for mission-critical applications that require dynamic analytics and context-rich insights, such as fraud detection, cybersecurity, and AI product development using GraphRAG.
The platform offers flexible deployment options including a free open-source Community Edition, an Enterprise Edition for advanced features and support, and a fully-managed Cloud Beta. It integrates seamlessly with streaming data sources like Kafka, Pulsar, and Redpanda, and now includes vector search capabilities to enhance AI applications. Memgraph aims to make powerful graph computation accessible to organizations of all sizes, providing a scalable and easy-to-own solution for complex data analysis.
Reviews
Be the first to review Memgraph
Your take helps the next buyer. Verified LinkedIn reviewers get a badge.
Write a reviewBest Memgraph Alternatives
Top alternatives based on features, pricing, and user needs.
Explore More
Memgraph FAQ
What is Memgraph?
Memgraph is a high-performance, in-memory graph database designed for real-time analytics. It helps organizations build AI products with context-rich insights from enterprise data, supporting high transaction rates and large graph sizes. It also includes vector search capabilities.
How much does Memgraph cost?
Memgraph offers a free Community Edition. The Enterprise Edition starts at $25,000 per year for 16 GB of memory, with pricing scaling based on memory capacity. There are no charges for compute, replicas, or algorithms. A Cloud Beta is also available with a free trial.
Is Memgraph free?
Yes, Memgraph offers a free, open-source Community Edition for developers building production-ready real-time streaming graph applications. There is also a free trial available for the Cloud Beta.
Who is Memgraph for?
Memgraph is for organizations and developers who need a powerful, real-time graph database for dynamic analytics, especially in mission-critical environments handling high transaction volumes. It's used by companies like NASA and Cedars-Sinai for AI applications, fraud detection, and cybersecurity. It's also suitable for developers building streaming graph applications.
Source: memgraph.com