
Turboline Data Studio is a powerful, AI-driven interface that enables semi-technical data teams—like analysts, marketers, and data journalists—to query, analyze, and visualize data using natural language.
Some of our key features include:
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🔍 Natural Language Querying – Ask questions in plain English and get accurate data results instantly.
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🔗 Multi-Source Connectivity – Connect to over 40+ structured, semi-structured, and unstructured data sources.
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📊 Built-In Dashboards – Create and customize visual dashboards without writing a single line of code.
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🧠 Powered by AI Data Engine™ – Leverages advanced AI to translate queries into optimized backend operations.
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☁️ Available as SaaS or On-Prem – Use instantly in the cloud or deploy securely within your organization’s infrastructure.
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🛡️ Enterprise-Grade Security – Keep full control of your data whether hosted or self-managed.
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⚙️ No SQL Required – Designed for data-savvy users like analysts, marketers, and data journalists.
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🧩 Export & Reporting Tools – Easily generate reports, share dashboards, and export data in multiple formats.
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💡 Azure Cloud Marketplace Ready – Instantly deploy via Azure or integrate with your preferred cloud stack.
Use Data Studio Today!
Natural language data analysis—SaaS or on your cloud.
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) |
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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 |