Memgraph
UnclaimedThe fastest, most affordable graph database for dynamic analytics and AI applications.
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Reviews onG2
2 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Extremely fast for real-time analytics and high-velocity environments
Biggest con
Enterprise pricing starts at $25k per year, which may be a barrier for smaller businesses needing advanced features
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
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.
Available on: Linux, macOS, Windows
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 TrialPricing checked Jun 19, 2026
Community 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
Reviews
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Memgraph FAQ
How does Memgraph support AI applications?
Memgraph enhances AI applications through its real-time analytics capabilities and newly integrated vector search. It is particularly useful for AI product development using GraphRAG, providing context-rich insights from complex data structures.
Which teams would benefit most from using Memgraph?
Teams working on mission-critical applications requiring dynamic analytics and high transaction rates, such as those in fraud detection, cybersecurity, and AI product development, would find Memgraph most beneficial. It is designed for environments needing real-time insights from large graph datasets.
How is Memgraph priced?
Memgraph offers a free open-source Community Edition for developers. Paid plans are available for more usage and advanced features, with enterprise pricing scaling based on memory capacity rather than compute or replicas.
Can Memgraph handle high-volume data streams?
Yes, Memgraph integrates seamlessly with streaming data sources like Kafka, Pulsar, and Redpanda. It is designed to handle over 1,000 transactions per second on both reads and writes, making it suitable for high-velocity data environments.
What kind of performance can users expect from Memgraph?
Memgraph is a high-performance, in-memory graph database capable of handling over 1,000 transactions per second for both reads and writes. It supports graph sizes ranging from 100 GB to 4 TB, making it suitable for demanding real-time analytics.
How does Memgraph compare to Neo4j?
Memgraph offers an affordable pricing model that scales with memory capacity, unlike some competitors. It also provides dedicated direct support from engineers via Slack channel, ensuring users receive expert assistance.
What are the trade-offs when choosing Memgraph?
While Memgraph offers advanced features, its Enterprise pricing starts at $25k per year, which might be a barrier for smaller businesses. Additionally, its Cloud offering is currently in Beta, and users need to understand graph databases and query languages like Cypher.
Source: memgraph.com