ByteGraph vs GFQL
ByteGraph is a other database; GFQL is a property graph database. ByteGraph (2018, Proprietary, C++) ranks #94 this month; GFQL (2023, BSD-3-Clause, Python) ranks #20.
| Attribute | ByteGraph | GFQL |
|---|---|---|
| At a glance | ||
| Rank | #94 | #20 |
| Score | 38.2 | 56.7 |
| GitHub stars | — | 2.6k |
| Popularity | 44.9 | 53.8 |
| Activity | 46.8 | 62.2 |
| Community | 30.3 | 57.5 |
| Research | 54.8 | 50.0 |
| Fundamentals | ||
| Description | An internal ByteDance distributed graph database using a two-tier architecture with durable storage and cache layers. Optimizes for social graph workloads with an edge-tree data structure and adaptive caching. Not publicly available. | A dataframe-native graph query language with vectorized processing and optional GPU acceleration. Supports Cypher-like syntax, embedded within the PyGraphistry library. |
| Vendor | ByteDance | Graphistry |
| Model | Other | Property Graph |
| Kind | database | query-engine |
| Category | Enterprise | Growing |
| First released | 2018 | 2023 |
| Status | inactive — ByteDance internal system. Not publicly available. | active |
| License | Proprietary | BSD-3-Clause |
| Written in | C++ | Python |
| Query languages | Gremlin | GFQL, openCypher |
| gdotv support | no | no |
Feature scores — not surveyed for GFQL
| Feature | ByteGraph | GFQL |
|---|---|---|
| Community & Business | ||
| Active development | · | — |
| Commercial support | · | — |
| Live community | · | — |
| Open Source | · | — |
| Pricing | · | — |
| Trendiness | · | — |
| Deployment | ||
| Containerization | · | — |
| Work as dedicated instance | ✓ | — |
| Work as embedded | · | — |
| Testing in-memory version | · | — |
| Platform | ||
| Operating on Linux | · | — |
| Operating on Windows | · | — |
| 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 | ✓ | — |
| Developer Experience | ||
| Data types defined | 0.5 | — |
| Logging/Auditing | ✓ | — |
| Object-Graph Mapper | · | — |
| Reactive programming | · | — |
| Documentation up-to-date | · | — |
| Binary protocol | · | — |
| CLI | · | — |
| GUI | · | — |
| Data Model | ||
| Multi-database | · | — |
| Graph-native data | ✓ | — |
| REST API | · | — |
| Query Language | ✓ | — |
| Transactions | ||
| Granular locking | ✓ | — |
| Multiple isolation levels | · | — |
| Read committed transaction | ✓ | — |
| Transaction support | ✓ | — |
| Schema & Security | ||
| Constraints | · | — |
| Schema support | ✓ | — |
| Secondary indexes | · | — |
| Server side procedures | · | — |
| Triggers | · | — |
| Authentication | · | — |
| Authorization | · | — |
| Data encryption | · | — |
Links
- ByteGraph · website · full profile
- GFQL · website · github · full profile