
Turboline’s AI Data Engine™ lets developers embed natural language querying directly into their applications, without the complexity of building backend logic from scratch.
Using our secure and scalable API, you can connect to structured and semi-structured data to deliver instant, human-like query results to your users.
Some of our key features include:
🔐 Enterprise-Grade Data Security – Your data stays protected with robust encryption and access controls.
🧠 Intelligent AI Data Engine™ – Natural language understanding with dynamic query generation and optimization.
🔗 40+ Data Connectors – Connect to a wide range of data sources, including SQL/NoSQL databases, APIs, and documents.
⚙️ Developer-Friendly API – Clean RESTful APIs with detailed docs, examples, and SDKs for fast integration.
🌐 Structured and Semi-Structured Support – Seamlessly query diverse data formats.
⚡ Low Latency Query Execution – Built for speed and scalability across cloud-native architectures.
🔄 Automatic Schema Handling – Stay resilient to source schema changes with continuous schema monitoring.
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Supported Database Sizes
DB Tier | SQL DB (Tables) | NoSQL DB (Collections) | Redis (Keys) | Parquet / GeoParquet (Partitions) | CSV / JSON / XML (Files) | API Endpoints (REST/SOAP) | GraphQL (Complexity) |
---|---|---|---|---|---|---|---|
SmallDB | 0–50 tables | 0–10 collections <10 GB |
0–10,000 keys <5 GB |
0–10 partitions | 0–100 files <10 GB |
1–5 endpoints <100 KB |
1–3 shallow queries <1 MB |
MediumDB | 51–100 tables | 11–50 collections <50 GB |
10,001–100,000 keys <20 GB |
11–50 partitions | 101–500 files <50 GB |
6–20 endpoints 100 KB–1 MB |
4–15 moderately nested queries 1–5 MB |
LargeDB | 101–500 tables | 51–200 collections <200 GB |
100,001–1,000,000 keys <100 GB |
51–200 partitions | 501–2000 files <200 GB |
21–100 endpoints 1–10 MB |
16–50 deeply nested queries >5 MB |