Singdata Studio Overview
Six Modules, One Unified Engine
From raw data ingestion to AI-powered insights — every capability natively integrated
AI Gateway
EnterpriseUnified access & governance for all AI models — rate limiting, cost attribution, RBAC permissions in one hub.
Data Agent
MCPNatural language-driven automation ETL/ELT for SQL development, scheduling, and fault diagnostics. 90% less manual work.
Data Integration
Batch + StreamNo-code wizard for real-time and offline sync. Supports MySQL, Postgres, Oracle, Kafka, REST APIs and more.
Data Development
IncrementalWeb IDE with SQL, Python, Shell support. Dynamic Table incremental materialized views for minute-level freshness.
Data Governance
ComplianceEnd-to-end quality checks, fine-grained access control, audit logging, and sensitive data masking.
Asset Management
LineageAuto-collected metadata, column-level lineage, enterprise data catalog with cross-team sharing.
Why AI Studio
One Platform Beats a Stack of Tools
See how AI Studio compares to assembling your own data infrastructure.
Traditional Approach
Spark + Flink + DW + Model Platform, high maintenance
Offline T+1, real-time pipelines costly & complex
SQL dev, scheduling, troubleshooting all manual
Models managed across platforms, cost & security hard
Manual quality rules, incomplete coverage
Pre-provisioned resources, wasteful idle, poor elasticity
Singdata Lakehouse StudioSingle-Engine unified, out-of-box, 80% less maintenance
Generic Incremental Computing (GIC), minute-level freshness, 30%+ cost savings
AI Agent NL-driven, auto dev/schedule/diagnose, 90% less manual
AI Gateway unified control, transparent costs, fine-grained permissions
AI auto-detects table structure, smart rules, full monitoring
On-demand elasticity, pay-for-usage, compute-storage separated
Core Capabilities
Deep Dive into Each Module
Explore how each capability works and what it delivers for your team.
AI Gateway
Data Agent
Integration
Development
Governance
Assets
Enterprise Model Access & Governance
Unified Entry Point
One-stop management of hosted & external models with single API interface, eliminating platform switching overhead
Risk Control
RBAC permission isolation, dynamic rate limiting per tenant/endpoint, and API key lifecycle management
Cost Transparency
Multi-dimensional token usage tracking with tenant billing reports; know exactly what each team spends on AI
Low-Code Access
SQL embedding for analysts, DataGPT for business users, OpenAPI for developers — three modes, one gateway
10+
Model Providers
99.8%
Success Rate
3
Access Methods
Use Cases
Built for Real-World Data + AI Challenges
Covering multi-industry requirements from real-time analytics to full AI automation.
Connected Vehicle Analytics
Real-time IoV data collection + AI for smart driving analytics, fault prediction, energy optimization.
E-commerce User Analytics
Natural language-driven automation for SQL development, scheduling, and fault diagnostics. 90% less manual work.
Financial Risk Modeling
Custom risk models + real-time streams for fraud detection, credit scoring, AML.
Automated Data Engineering
NL-driven auto SQL generation, scheduling, fault diagnosis — lowering data development barriers.
Enterprise Knowledge Q&A
Combine RAG to transform enterprise docs and data assets into queryable intelligent knowledge bases.
Real-time Data Platform
Incremental computing to support real-time business decisions, farewell to T+1.
Get Started Today
Start Your Data + AI Journey Today
Free credits for every account. No credit card required. Enterprise plans available for teams of all sizes.
Singdata Studio is free for usage