RelationalAI vs TypeDB

Both are other databases. RelationalAI (2022, Proprietary, Julia) ranks #64 this month; TypeDB (2016, MPL-2.0, Rust) ranks #7.

Attribute RelationalAI #64 ▲17 Growing TypeDB #7 ▲1 Leader
At a glance
Rank #64#7
Score 44.568.4
GitHub stars —4.5k
Popularity 47.875.0
Activity 59.375.2
Community 30.363.3
Research 50.050.0
Fundamentals
Description A cloud-native relational knowledge graph system (RKGS) that models all data as relations in Graph Normal Form and is queried with Rel, a declarative, Datalog-based modeling language. Positioned as a knowledge graph coprocessor for Snowflake, it runs in-account as a Native App on Snowpark Container Services, adding rule-based reasoning, graph analytics, and predictive and prescriptive analytics over data where it already lives. The engine is built in Julia.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 RelationalAIVaticle
Model OtherOther
Kind databasedatabase
Category GrowingGrowing
First released 20222016
Status activeactive
License ProprietaryMPL-2.0
Written in JuliaRust
Query languages Rel, SQLTypeQL
gdotv support nono

Feature scores — not surveyed for RelationalAI

Feature RelationalAITypeDB
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 —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 —·