Sparksee vs TypeDB
Sparksee is a property graph database; TypeDB is a other database. Sparksee (2008, Proprietary, C++) ranks #98 this month; TypeDB (2016, MPL-2.0, Rust) ranks #9. They differ on 26 of 46 surveyed features.
| Attribute | Sparksee | TypeDB |
|---|---|---|
| At a glance | ||
| Rank | #98 | #9 |
| Score | 38.3 | 63.6 |
| GitHub stars | — | 4.4k |
| Popularity | 26.1 | 68.7 |
| Activity | 31.9 | 77.7 |
| Community | 35.3 | 66.4 |
| Research | 49.8 | 49.6 |
| Fundamentals | ||
| Description | A property graph database (formerly DEX) that stores graphs as labelled multigraphs using bitmap data structures for compact representation. Supports ACID transactions and offers free licenses for evaluation and research use. | A polymorphic database that natively models inheritance hierarchies, dependencies, and conceptual schemas using its TypeQL query language. Supports clustering for scalability and a cloud-agnostic deployment model. |
| Vendor | Sparsity Technologies | Vaticle |
| Model | Property Graph | Other |
| Kind | database | database |
| Category | Established | Growing |
| First released | 2008 | 2016 |
| Status | active | active |
| License | Proprietary | MPL-2.0 |
| Written in | C++ | Rust |
| Query languages | openCypher | TypeQL |
| gdotv support | no | no |
Feature scores 26 of 46 rows differ
| Feature | Sparksee | TypeDB |
|---|---|---|
| Community & Business | ||
| Active development | · | ✓ |
| Commercial support | ✓ | ✓ |
| Live community | · | ✓ |
| Open Source | · | ✓ |
| Pricing | · | ✓ |
| Trendiness | 0.5 | ✓ |
| 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 | ✓ | 0.5 |
| Transactions | ||
| Granular locking | · | · |
| Multiple isolation levels | ✓ | 0.5 |
| Read committed transaction | · | ✓ |
| Transaction support | ✓ | ✓ |
| Schema & Security | ||
| Constraints | ✓ | ✓ |
| Schema support | ✓ | ✓ |
| Secondary indexes | ✓ | ✓ |
| Server side procedures | · | · |
| Triggers | · | ✓ |
| Authentication | · | ✓ |
| Authorization | · | ✓ |
| Data encryption | ✓ | · |
Links
- Sparksee · website · full profile
- TypeDB · website · github · full profile