Memgraph vs TigerGraph

Memgraph is an in-memory graph database platform for graph computations on streaming data. It supports Cypher and lists Kafka, Pulsar, and Redpanda as streaming connectors. Its free Community Edition includes ACID transactions, on-disk persistence, high-availability replication, and vector search. MAGE adds more than 60 graph algorithms, with integrations for NetworkX, igraph, and cuGraph. Memgraph Lab provides a visual interface for querying, managing, importing, and visualizing graph data; it also supports natural-language queries through GraphChat. Programmatic drivers are listed for Python, C/C++, Rust, Node.js, C#, Go, Haskell, Java, JavaScript, PHP, and Ruby. Enterprise features include role- and label-based access controls, SSO, LDAP/PAM authentication, TLS encryption in transit, audit logging, failover, replication, disaster recovery, no-downtime updates, and monitoring. Community support is available through Discord; Enterprise includes direct engineering support through a dedicated Slack channel. Memgraph Cloud is managed and hosted on AWS in six regions, with instances from 1 GB to 32 GB RAM. Community Edition is free forever. Enterprise plans have unlisted prices that scale by memory capacity or graph data capacity, depending on the edition, and the Enterprise trial lasts 30 days.

TigerGraph is a graph database for real-time analytics on connected data, using Native Parallel Graph design and the GSQL query language. Its Native MPP Graph supports parallel computation and deep-link analytics, and the database also offers vector similarity and hybrid graph-plus-vector search. Listed graph query options include GSQL, OpenCypher, and GSQL pattern matching. Connectors include Kafka, Amazon S3, Azure Blob Storage, Google Cloud Storage, Snowflake, BigQuery, PostgreSQL, Spark, Delta Lake, Iceberg, and Hudi. Security documentation lists TLS encryption, SAML 2.0 SSO, LDAP authentication, role-based access control, privileged-action audit logs, and encryption at rest. Self-managed deployments can run on Linux or as a Docker image; Enterprise Edition also supports Kubernetes clusters. Savanna is available on AWS. Community Edition is free but limited to one server and 300 GB of combined graph and vector data. Savanna starts at $45 a month as listed; the Enterprise Evaluation License lasts 30 days unless another duration is agreed in writing.