Analytics Data Lakes. Smart data, not big data.
Combine data from anywhere into one virtual lake. Query it like it's all in one place. Because for your team, it is.
No warehouses. No copies. No overnight ETL. Pull data from the cloud, your databases, SaaS apps, or files โ and start asking questions in minutes.
Build a lake in minutes, not months. Keep data hot for sub-second queries or cold until you need it. Your data never leaves your environment.
Connect sources on the left ยท Integrate in memory ยท Analyze, Transform, Deliver data products on the right โ all powered by your AI Data Team.
It's not about big data anymore.
It's about the right data.
Most questions don't need a petabyte. They need the right 3 million rows, from the right 4 sources, answered in seconds. Analytics Data Lakes are built for exactly that.
- Months of ETL design before the first query
- Data copied and moved into warehouse โ two places to govern
- Overnight refreshes โ yesterday's data is the best you get
- Expensive compute clusters running 24/7
- Only engineers can add a new source
- Every new use case means a new warehouse project
- Build a lake in minutes โ drag and drop your sources
- Data stays at source โ nothing copied, nothing moved
- Live queries against fresh data โ not yesterday's snapshot
- In-memory processing โ lightning fast, on demand
- Anyone can build a lake โ no ETL team required
- One foundation. Every new lake compounds on it.
Diverse sources.
One virtual lake.
Pick your sources. Combine them into a lake. Analyze, visualize, query, or publish as a data product โ all from one place, all in plain English.
Build a lake in minutes, not months. Hot means loaded into memory for sub-second queries. Cold means stored but not loaded โ flip to hot when you need it. No data is ever copied or moved.
Pay for what you actually use.
Your lake has two states โ hot and cold. Hot is lightning-fast memory for the data you're querying right now. Cold is everything else. You flip between them with a click.
Loaded into memory for fast interactive analysis. This is the state your team works in during a project โ chatting with data, building reports, iterating on a model.
- โก Instant answers in plain English
- ๐ Live data โ always as fresh as the source
- ๐ฏ Perfect for active projects and exploration
Your lake definition stays โ sources, relationships, everything โ but compute is paused. When you come back, flip to hot and you're querying again in seconds.
- ๐ฐ No compute cost while cold
- ๐ Keep hundreds of lake definitions with zero overhead
- ๐ Flip back to hot anytime โ nothing rebuilt
The outcome: analysts spin up lakes for a one-week project and flip them cold when they're done. Data scientists keep dozens of lakes ready but only pay for the one they're using. Your platform bill tracks actual work โ not idle infrastructure.
From a 360-degree view
to a live risk score.
Analytics Data Lakes are the foundation for your most valuable data products and AI models. Build once, publish to the catalog, and your whole team can use them.
A holistic view of customer data across every touchpoint โ personalize experiences, drive engagement, reduce churn.
An end-to-end view of product lifecycle โ optimize management, respond to market needs, track performance.
A comprehensive view of patient health from every source โ enhance clinical care, coordinate across providers.
Complete view of asset management โ optimize utilization, predict maintenance, track the full lifecycle.
Clean, unified signals โ usage, support tickets, NPS, billing โ ready to feed churn prediction models.
Combine transaction history, engagement, and retention data to estimate CLTV across your customer base.
Track how users interact with recommended content or products โ across every channel, in one view.
Unify transaction, identity, and behavioral signals to build and serve real-time fraud-risk scoring models.
The benefits
your whole team feels.
Analytics Data Lakes aren't a new tool for your data team โ they're a new way for every team to work with data.
Bring data together from any source โ wherever it lives, whatever the format โ into a single virtual lake. No warehouse required.
Query your data at source speed โ no overnight ETL, no stale snapshots. Your reports reflect what's happening now, not last night.
Your AI Data Team works the lake for you. Ask a question, get an answer. Build a dashboard by describing it. No ETL scripts to write.
Turn any lake into a governed data product โ discoverable, trusted, reusable. One team's project becomes the whole org's asset.
Spin up lakes when you need them, flip them cold when you don't. No 24/7 compute bill. No over-provisioned clusters.
The lake is virtual. Your data never leaves its source. Governance, access rules, and audit trails stay intact everywhere.
Stop warehousing.
Start analyzing.
Bring your data together in minutes. Query it in plain English. Publish it as a product. All without moving a single row.