GFQL vs PandaDB
Both are property graph databases queried with openCypher. GFQL (2023, BSD-3-Clause, Python) ranks #20 this month; PandaDB (2019, Apache-2.0, Scala) ranks #125.
| Attribute | GFQL | PandaDB |
|---|---|---|
| At a glance | ||
| Rank | #20 | #125 |
| Score | 56.7 | 26.5 |
| GitHub stars | 2.6k | 8 |
| Popularity | 53.8 | 30.9 |
| Activity | 62.2 | 30.2 |
| Community | 57.5 | 30.3 |
| Research | 50.0 | 55.2 |
| Fundamentals | ||
| Description | A dataframe-native graph query language with vectorized processing and optional GPU acceleration. Supports Cypher-like syntax, embedded within the PyGraphistry library. | A distributed property graph database built on Neo4j, extending it with CypherPlus for managing both structured and unstructured data with AI model inference. |
| Vendor | Graphistry | — |
| Model | Property Graph | Property Graph |
| Kind | query-engine | database |
| Category | Growing | Emerging |
| First released | 2023 | 2019 |
| Status | active | inactive — No development activity since 2022 |
| License | BSD-3-Clause | Apache-2.0 |
| Written in | Python | Scala |
| Query languages | GFQL, openCypher | openCypher |
| gdotv support | no | no |
Feature scores — not surveyed for GFQL
| Feature | GFQL | PandaDB |
|---|---|---|
| Community & Business | ||
| Active development | — | 0.5 |
| 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 | — | 0.5 |
| Replication support | — | ✓ |
| Developer Experience | ||
| Data types defined | — | ✓ |
| 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
- GFQL · website · github · full profile
- PandaDB · website · github · full profile