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Graphweaver vs Memgraph
Provides GraphQL API over multiple data sources, but lacks in-memory performance and AI tooling.
GraphweaverTurn multiple data sources into a single GraphQL API
MemgraphOpen-Source, High-Performance, In-Memory: Memgraph is Redefining Graph Databases!Side by side
- What it is
- Graphweaver:Turn multiple data sources into a single GraphQL API
- Memgraph:Memgraph is an open-source, in-memory graph database for real-time analytics and AI workloads.
- Best for
- Graphweaver:Unified GraphQL API layer
- Memgraph:Real-time in-memory graph analytics
- Who it’s for
- Graphweaver:—
- Memgraph:Developers, data scientists and teams needing fast graph queries and AI-driven reasoning.
- Pricing
- Graphweaver:Free
- Memgraph:Freemium
- Plans
- Graphweaver:—
- Memgraph:Community Edition Free
- Open source
- Graphweaver:—
- Memgraph:Yes, 4,581 GitHub stars
- Works with
- Graphweaver:—
- Memgraph:Cypher, Python client libraries, LangChain, LlamaIndex, Kafka, Pulsar, Redpanda
- DevHunt upvotes
- Graphweaver:7
- Memgraph:24
- Launched on DevHunt
- Graphweaver:Jan 2023
- Memgraph:Jan 2023
Graphweaver features
Turn multiple data sources into a single GraphQL API
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.
Based on each tool's website and DevHunt data. Details may change; check the official sites.