# Memgraph vs TigerGraph

**Leader by Vioscale score:** Memgraph

| Attribute | Memgraph | TigerGraph |
|---|---|---|
| **Vioscale score** | 56.9 (59% (medium)) | 42.5 (75% (high)) |
| activity.commits_last_30d | 88 | - |
| adoption.dependent_repos | 0 | - |
| adoption.github_stars | 4,364 | - |
| deployment.options | `{"cloud":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | A high-performance, in-memory database designed for real-time graph queries and reasoning in AI applications. It combines sub-millisecond traversals with native vector search, ACID transactions, and streaming data connectors for fraud detection, network analysis, and AI augmentation. | TigerGraph is a graph database that connects and understands relationships in data to enable context-aware enterprise AI and analytics. It performs fast multi-hop reasoning across connected data for fraud detection, customer intelligence, compliance, and other regulated business use cases at enterprise scale. |
| features.capabilities | `{"storage":"native","workload":"both","deployment":"self_hosted","consistency":"strong","distributed":"clustered","graph_model":"property_graph","licence_class":"permissive","vector_search":true,"query_language":"Cypher","replication_ha":true,"full_text_search":"built_in","standard_support":false,"acid_transactions":"full"}` | `{"storage":"native","workload":"both","consistency":"strong","distributed":"clustered","graph_model":"property_graph","licence_class":"proprietary","query_language":"GSQL, GraphQL, GQL","replication_ha":true,"standard_support":false}` |
| integrations.count | 5 | 13 |
| integrations.list | `[{"name":"Kafka"},{"name":"Pulsar"},{"name":"Redpanda"},{"name":"Cognee"},{"name":"AWS (via Marketplace)"}]` | `[{"name":"Snowflake"},{"name":"Apache Spark"},{"name":"Kafka"},{"name":"Apache Iceberg"},{"name":"AWS S3"},{"name":"MinIO"},{"name":"Ceph"},{"name":"Wasabi"},{"name":"Kerberos"},{"name":"SAML"},{"name":"OIDC"},{"name":"LDAP"},{"name":"GraphQL"}]` |
| language.primary | C++ | - |
| market.availability | `{"hqCountry":"HR","primaryMarkets":["US","EU"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"web":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Community Edition","summary":"Free, forever, open source","features":["Full in-memory graph database","ACID transactions with on-disk persistence","High-availability replication","Cypher query language","Stream connectors (Kafka, Pulsar, Redpanda)","Vector search","MAGE algorithm library","Community support via Discord"],"components":[{"kind":"fixed","amount":0,"period":"month","currency":"USD"}],"description":"Open source in-memory graph database with core features","contactSales":false},{"free":false,"name":"Enterprise Edition – AI Platform","summary":"Contact for pricing based on graph data capacity","features":["Unlimited vector indexes","Role-based and label-based access control","SSO (Entra ID, Okta, OIDC, SAML)","LDAP/PAM authentication","Multi-tenancy","Automatic failover","No-downtime updates","Disaster recovery","Query audit logging","Prometheus monitoring","Dedicated engineering support via Slack"],"description":"For AI and embedding-heavy workloads; unlimited vector indexes, priced on graph data only","contactSales":true,"includedLimits":{"vector_indexes":"unlimited"}},{"free":false,"name":"Enterprise Edition – Graph Analytics","summary":"Contact for pricing based on total memory capacity","features":["Role-based and label-based access control","SSO (Entra ID, Okta, OIDC, SAML)","LDAP/PAM authentication","Multi-tenancy","Automatic failover","No-downtime updates","Disaster recovery","Query audit logging","Prometheus monitoring","Dedicated engineering support via Slack"],"description":"For fraud detection, network analysis, and supply chain workloads; priced on total memory including vectors","contactSales":true},{"free":false,"name":"Memgraph Cloud","summary":"Start with 14-day free trial","features":["Fully managed – no setup, no ops","AWS hosted (6 regions)","Automatic updates and backups","Community support"],"description":"Fully managed cloud deployment for prototyping and early-stage projects","contactSales":false,"includedLimits":{"regions":"6 AWS regions","ram_instances":"1GB to 32GB"}},{"free":false,"name":"OEM / SaaS","summary":"Custom pricing based on delivery model and end-user licensing","features":["Redistribution rights","Embedded engine (not exposed standalone)","Unlimited queries","Unlimited compute","Unlimited replicas","All MAGE algorithms included","All updates included","Direct engineering support"],"description":"Embed Memgraph in your product for on-premises or SaaS distribution","contactSales":true}],"summary":"Community Edition free forever. Enterprise and Cloud require contact or trial signup. Simple memory-based pricing with no per-query, per-compute, or per-replica charges.","currency":"USD","freeTier":true,"sourceUrl":"https://memgraph.com/pricing","retrievedAt":"2026-08-14T21:41:09.201Z","freeTrialDays":30}` | `{"type":"usage","plans":[{"free":false,"name":"Basic","summary":"Pay-per-use VM instances and storage","commitment":"monthly","description":"Entry-level tier with 7-day backup retention","contactSales":false},{"free":false,"name":"Premium","summary":"Pay-per-use VM instances and storage","commitment":"monthly","description":"Mid-tier with 14-day backup retention","contactSales":false},{"free":false,"name":"Enterprise","summary":"Custom pricing for annual and longer commitments","description":"Enterprise tier with 28-day backup retention and long-term commitment options","contactSales":true}],"addOns":[{"name":"Insights","components":[{"of":"compute_usage","kind":"percentage","rate":10}]},{"name":"GraphStudio"},{"name":"GraphQL Service"}],"summary":"Usage-based pricing on compute instances and storage; free tier available","currency":"USD","freeTier":true,"sourceUrl":"https://www.tigergraph.com/savanna-pricing/","retrievedAt":"2026-08-14T21:33:57.146Z","billingPeriods":["month"]}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | freemium |
| pricing.price_level | low | low |
| pricing.transparent | yes | no |
| release.cadence_days | 18 | - |
| release.history | `[{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.12.0","date":"2026-07-15T09:26:36Z","type":"stable","version":"v3.12.0"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.11.0","date":"2026-06-17T10:34:44Z","type":"stable","version":"v3.11.0"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.10.1","date":"2026-05-15T09:42:30Z","type":"stable","version":"v3.10.1"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.10.0","date":"2026-05-13T10:45:27Z","type":"stable","version":"v3.10.0"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.9.0","date":"2026-03-25T11:44:43Z","type":"stable","version":"v3.9.0"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.8.1","date":"2026-02-17T22:02:18Z","type":"stable","version":"v3.8.1"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.8.0","date":"2026-02-11T10:45:11Z","type":"stable","version":"v3.8.0"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.7.2","date":"2025-12-23T10:44:57Z","type":"stable","version":"v3.7.2"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.7.1","date":"2025-11-25T13:48:43Z","type":"stable","version":"v3.7.1"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.7.0","date":"2025-11-19T10:16:15Z","type":"stable","version":"v3.7.0"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.6.2","date":"2025-11-04T10:36:19Z","type":"stable","version":"v3.6.2"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.6.1","date":"2025-10-16T17:44:21Z","type":"stable","version":"v3.6.1"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.6.0","date":"2025-10-08T09:55:00Z","type":"stable","version":"v3.6.0"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.5.2","date":"2025-09-25T11:55:04Z","type":"stable","version":"v3.5.2"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.5.1","date":"2025-09-11T15:19:44Z","type":"stable","version":"v3.5.1"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.5.0","date":"2025-08-27T08:37:55Z","type":"stable","version":"v3.5.0"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.4.0","date":"2025-07-10T09:14:27Z","type":"stable","version":"v3.4.0"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.3.0","date":"2025-06-04T13:53:46Z","type":"stable","version":"v3.3.0"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.2.1","date":"2025-05-09T12:20:37Z","type":"stable","version":"v3.2.1"},{"url":"https://github.com/memgraph/memgraph/releases/tag/v3.2.0","date":"2025-04-23T18:04:14Z","type":"stable","version":"v3.2.0"}]` | - |
| reliability.sla_pct | - | 99.95 |
| security.gdpr | yes | - |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=helm&package_name=memgraph%2Fmemgraph-mcp&per_page=100","last_12m":0,"max_severity":null}` | - |

## Capabilities (Graph Databases)

| Capability | Memgraph | TigerGraph |
|---|:--:|:--:|
| **Model** |  |  |
| Graph model | Property graph | Property graph |
| Query language(s) | Cypher | GSQL, GraphQL, GQL |
| **Transactions** |  |  |
| ACID transactions | Full | - |
| Consistency model | Strong | Strong |
| **Architecture** |  |  |
| Storage | Native graph | Native graph |
| Distributed / scale | Clustered | Clustered |
| Replication / HA | ✓ | ✓ |
| OLTP vs OLAP | Both | Both |
| **Deployment** |  |  |
| Deployment | Self-hosted | - |
| **Search** |  |  |
| Full-text search | Built-in | - |
| Built-in vector search | ✓ | - |
| **Licensing** |  |  |
| Licence class | Permissive OSS | Proprietary |
| **Portability** |  |  |
| openCypher / TinkerPop standard | ✗ | ✗ |

*Source: Vioscale. Generated 2026-09-01T16:47:28.412Z. "-" = undocumented, not absent.*