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Grafbase vs Memgraph
Instant GraphQL APIs for data, focused on API generation rather than real-time graph analytics.
GrafbaseInstant GraphQL APIs for your data
MemgraphOpen-Source, High-Performance, In-Memory: Memgraph is Redefining Graph Databases!Which to pick
Pick Grafbase if you want…
- Enterprise-grade GraphQL federation and governance
- Fast GraphQL API creation
- Integrations with Postgres, Snowflake or NATS (on Grafbase's list, not Memgraph's)
Pick Memgraph if you want…
- Real-time in-memory graph analytics
- Integrations with Cypher, Python client libraries or LangChain (on Memgraph's list, not Grafbase's)
Side by side
- What it is
- Grafbase:Grafbase provides instant, type-safe GraphQL APIs with edge deployment, federation, and AI-ready extensions.
- Memgraph:Memgraph is an open-source, in-memory graph database for real-time analytics and AI workloads.
- Best for
- Grafbase:Enterprise-grade GraphQL federation and governance
- Memgraph:Real-time in-memory graph analytics
- Who it’s for
- Grafbase:Engineering teams building enterprise-scale GraphQL services.
- Memgraph:Developers, data scientists and teams needing fast graph queries and AI-driven reasoning.
- Pricing
- Grafbase:Freemium
- Memgraph:Freemium
- Plans
- Grafbase:Open Source Free
- Memgraph:Community Edition Free
- Open source
- Grafbase:Yes, 1,229 GitHub stars
- Memgraph:Yes, 4,581 GitHub stars
- Works with
- Grafbase:Postgres, Snowflake, Kafka, NATS, gRPC, REST, JWT
- Memgraph:Cypher, Python client libraries, LangChain, LlamaIndex, Kafka, Pulsar, Redpanda
Grafbase features
- Rust-powered gateway. Delivers up to 40% faster response times and low CPU/memory usage.
- Federation & schema composition. Unify multiple services, databases, and APIs into a single GraphQL graph.
- AI enablement (MCP). Native support for Model Context Protocol so AI agents can query APIs in natural language.
- Extensions & custom logic. Add custom auth, authorization, and data source handling via extensions.
- Flexible hosting. Run in cloud, hybrid, or fully air-gapped on-prem environments.
- Enterprise security. Rate limiting, SAML SSO, fine-grained access control, and compliance features.
Memgraph features
- In-memory engine. Sub-millisecond graph traversals with 1,000+ tx/sec reads & writes.
- Cypher query language. Supports Neo4j-compatible Cypher for familiar graph queries.
- Vector search & AI platform. Unlimited vector indexes and built-in AI tooling for GraphRAG and memory.
- High-availability replication. ACID-compliant persistence with automatic failover and no-downtime updates.
- Stream connectors. Integrates with Kafka, Pulsar and Redpanda for real-time data ingestion.
- MAGE algorithm library. Includes PageRank, community detection, shortest-path and more out of the box.
Grafbase vs Memgraph FAQ
Is Grafbase or Memgraph free?+
Grafbase has a free plan (Open Source) and paid plans. Memgraph has a free plan (Community Edition) and paid plans.
Is Grafbase or Memgraph open source?+
Yes, both are open source: Grafbase (grafbase/grafbase on GitHub, MPL-2.0 license) and Memgraph (memgraph/memgraph on GitHub).
Do Grafbase and Memgraph integrate with the same tools?+
Partly. Both list Kafka. Grafbase also lists Postgres, Snowflake, NATS, gRPC and 2 more; Memgraph also lists Cypher, Python client libraries, LangChain, LlamaIndex and 2 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.