6×
faster ETL, at one third of the cost
Southeast Asia's logistics leader modernized its Spark platform with less than 1% code change — BI queries now run 2–10× faster across the region.
Read the story →
Singdata Lakehouse
One lakehouse for analysts, engineers, and agents.
AI agents query data around the clock, at a scale no human team ever did. Singdata is the lakehouse with the economics to keep up: incremental compute, fresh data, batch prices.
Data Engineering agent
Enterprise-Ready Data Co-workers
Leverage Agentic-AI to accelerating your data engineering team from day one.
1:02Analytics Agent: Trusted Business Insights in Natural Language
With analysis domains, semantic context, and permission boundaries, Analytics Agent turns business questions into verifiable SQL, tables, and charts, and helps teams preserve insights as reusable dashboards for faster business decisions.
1:16Lakehouse Studio: A Unified Workspace for Data Engineering
From data sync and development to scheduling, operations, analytics, and governance, Lakehouse Studio brings core data engineering workflows into one workspace. With agent integration, teams can work more efficiently and with greater control.
1:45AI + Data, Unified: The Complete Singdata Product Workflow
Introducing Singdata’s AI + Data product system: Lakehouse → Studio → AI Gateway → Analytics/Engineering Agents → ZettaPark. One continuous, enterprise-ready workflow. Watch the full demo
1:08Singdata Lakehouse Explained in 60 Seconds
Worried about starting from scratch when changing your data stack? Singdata Lakehouse enables seamless evolution. Keep your SQL workflow and mount existing data lakes with zero migration. Unify development, scheduling, and AI in one platform to eliminate system fragmentation. Simplify your architecture and cut costs to 1/5.
BUILT FOR SCALE, PROVEN IN PRODUCTION
6×faster than SparkTPC-DS 10 TB benchmark →500TBqueried in under a secondShumei, risk analytics →700M+records processed dailyAtlas, airline travel tech →-65%total platform costNinjaVan, logistics →
SOC 2 Type IIISO 27001:20225.0 on AWS MarketplaceBuilt on Apache Iceberg
PRODUCT ARCHITECTURE
Singdata Lakehouse
One Lakehouse. Built for humans, AI agents, and applications.
BUILT FOR EVERY USER
Three ways in.One Lakehouse.
Humans, applications, and AI agents are all first-class users of the Singdata Lakehouse — each with an interface built for how they actually work.
A native way in for every user
Analysts work in Studio, applications speak SQL and APIs, agents run CZ-CLI and MCP. Nobody adapts to an interface built for someone else.
Agents are users here, not add-ons
CZ-CLI and MCP give Claude Code, Cursor, and Codex deterministic commands and governed context — under the same permissions and semantics as your human team.
Walk in without moving your data
One copy, in open formats, in your own object storage. Start with a single workload; if we don't earn the rest, unplugging is trivial.
IN THE PRESS
What the industry is saying
Coverage of Singdata's work on General Incremental Computing, from regional technology publications to global newswires.
Tech in Asia
"Databricks’ under-the-radar Asian rival"
yahoo
"The Real Bottleneck in the Age of AI Agents Isn't the Model -- It's the Data"
GO DEEPER
Reports, benchmarks and stories
WHITEPAPER
Incremental Compute 101
Why processing only new data changes the economics of the lakehouse.
Read now →
BENCHMARK
Performance report: Singdata vs Spark, Trino and more
Full methodology, configurations and results. Reproduce it yourself.
Read now →
WHITEPAPER
Singdata Lakehouse White Paper
Singdata Lakehouse Revolutionizes Your Data Strategy with.
Read now →GET STARTED TODAY
