Google Cloud BigQuery Graph vs TigerGraph
Both are property graph databases. Google Cloud BigQuery Graph (2026-04, Proprietary, C++) ranks #65 this month; TigerGraph (2017-09, Proprietary, C++) ranks #19.
| Attribute | Google Cloud BigQuery Graph | TigerGraph |
|---|---|---|
| At a glance | ||
| Rank | #65 | #19 |
| Score | 44.4 | 57.0 |
| GitHub stars | — | — |
| Popularity | 54.1 | 48.9 |
| Activity | 49.9 | 58.4 |
| Community | 33.4 | 62.4 |
| Research | 50.0 | 61.7 |
| Fundamentals | ||
| Description | A graph layer within Google Cloud BigQuery that runs property graph queries over warehouse tables using GQL, without a separate graph store. Property graphs are defined as views over existing tables and queried at analytical scale. | A distributed property graph database (formerly GraphSQL) built for massively parallel processing and graph analytics. Uses the SQL-like GSQL query language and supports ACID transactions. Available in developer, cloud, and enterprise editions. |
| Vendor | TigerGraph | |
| Model | Property Graph | Property Graph |
| Kind | database | database |
| Category | Enterprise | Established |
| First released | 2026-04 | 2017-09 |
| Status | active | active |
| License | Proprietary | Proprietary |
| Written in | C++ | C++ |
| Query languages | GQL, SQL/PGQ | GSQL |
| gdotv support | yes | no |
Feature scores — not surveyed for Google Cloud BigQuery Graph
| Feature | Google Cloud BigQuery Graph | TigerGraph |
|---|---|---|
| Community & Business | ||
| Active development | — | ✓ |
| Commercial support | — | ✓ |
| Live community | — | 0.5 |
| Open Source | — | · |
| Pricing | — | · |
| Trendiness | — | 0.5 |
| Deployment | ||
| Containerization | — | ✓ |
| Work as dedicated instance | — | ✓ |
| Work as embedded | — | ✓ |
| Testing in-memory version | — | 0.5 |
| Platform | ||
| Operating on Linux | — | ✓ |
| Operating on Windows | — | 0.5 |
| SaaS offering | — | · |
| Operations | ||
| Automatic updates | — | · |
| Client side caching | — | · |
| Data versioning support | — | · |
| Live backups | — | ✓ |
| Distribution | ||
| Cluster Re-balancing | — | · |
| Data Distribution | — | ✓ |
| High-Availability | — | ✓ |
| Query Distribution | — | ✓ |
| Replication support | — | 0.5 |
| Developer Experience | ||
| Data types defined | — | ✓ |
| Logging/Auditing | — | 0.5 |
| Object-Graph Mapper | — | · |
| Reactive programming | — | · |
| Documentation up-to-date | — | 0.75 |
| Binary protocol | — | · |
| CLI | — | ✓ |
| GUI | — | ✓ |
| Data Model | ||
| Multi-database | — | ✓ |
| Graph-native data | — | ✓ |
| REST API | — | ✓ |
| Query Language | — | ✓ |
| Transactions | ||
| Granular locking | — | · |
| Multiple isolation levels | — | · |
| Read committed transaction | — | 0.5 |
| Transaction support | — | ✓ |
| Schema & Security | ||
| Constraints | — | · |
| Schema support | — | ✓ |
| Secondary indexes | — | · |
| Server side procedures | — | ✓ |
| Triggers | — | · |
| Authentication | — | ✓ |
| Authorization | — | ✓ |
| Data encryption | — | ✓ |
Links
- Google Cloud BigQuery Graph · website · full profile
- TigerGraph · website · full profile