80%
Less architecture complexity
90%
Reduction in manual data work
30%+
Lower infrastructure cost
T+1 → min
Data freshness improvement
Lakehouse Studio Overview
Six Modules, One Unified Engine
From raw data ingestion to AI-powered insights — every capability natively integrated
Data Agent
Data Agent
MCP
Natural language-driven automation ETL/ELT for SQL development, scheduling, and fault diagnostics. 90% less manual work.
Data Integration
Data Integration
Batch + Stream
No-code wizard for real-time and offline sync. Supports MySQL, Postgres, Oracle, Kafka, REST APIs and more.
Data Development
Data Development
Incremental
Web IDE with SQL, Python, Shell support. Dynamic Table incremental materialized views for minute-level freshness.
Data Governance
Data Governance
Compliance
End-to-end quality checks, fine-grained access control, audit logging, and sensitive data masking.
Asset Management
Asset Management
Lineage
Auto-collected metadata, column-level lineage, enterprise data catalog with cross-team sharing.
Why Lakehouse Studio
One Platform Beats a Stack of Tools
See how Lakehouse 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 Studio
Single-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.
Use Cases
Built for Real-World Data + AI Challenges
Covering multi-industry requirements from real-time analytics to full AI automation.
Connected Vehicle Analytics
Connected Vehicle Analytics
Real-timeAI Prediction
Real-time IoV data collection + AI for smart driving analytics, fault prediction, energy optimization.
E-commerce User Analytics
E-commerce User Analytics
User ProfileRecommendation
Natural language-driven automation for SQL development, scheduling, and fault diagnostics. 90% less manual work.
Financial Risk Modeling
Financial Risk Modeling
Real-time RiskFraud Detection
Custom risk models + real-time streams for fraud detection, credit scoring, AML.
Automated Data Engineering
Automated Data Engineering
AI AgentMCP
NL-driven auto SQL generation, scheduling, fault diagnosis — lowering data development barriers.
Enterprise Knowledge Q&A
Enterprise Knowledge Q&A
RAGDataGPT
Combine RAG to transform enterprise docs and data assets into queryable intelligent knowledge bases.
Real-time Data Platform
Real-time Data Platform
IncrementalBatch-Stream
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.
Lakehouse Studio is free for usage