No-code data platform  ·  Runs in your warehouse

Automate data engineering & analytics with no-code.

Spend your time on analysis, not on data engineering. Connect and sync every source into your warehouse, build and schedule transformations, and define business logic once for drag-and-drop analysis or plain-English questions to an AI analyst. All inside your own warehouse.

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4.8/5 on Capterra
// trusted by data teams at some of India's fastest-growing companies
// warehouse-native

Your data stays where it belongs.

Sprinkle runs on the warehouse you already have. There is no forced migration, no second copy of your data in a vendor's cloud, and no new silo to govern. Access rules are defined once in Sprinkle and enforced on every dashboard, export, embed and agent answer.

  • No migration
  • No second copy
  • No new silo
Snowflake
BigQuery
Redshift
Databricks
PostgreSQL
All warehouses →
// the platform

From raw data to decision.
Without writing code.

Five steps, one platform. Every step runs on your warehouse and shares the same definitions, so the number in the dashboard is the number in the report, the alert and the AI answer.

01

Connect

Sync every database, file, event stream and app into your warehouse.

02

Transform

Build and schedule pipelines that prepare the data, with no code.

03

Model

Define every metric, join and rule once, in a Domain Model.

04

Analyze

Drag-and-drop dashboards and self-service, or ask the Analyst Agent.

05

Deliver

Alerts, scheduled reports and embedded analytics.

// no engineers on the critical path

Everything a data team does, without the code.

The work that usually waits on an engineer, done by the people who need the data. Every step runs as SQL inside your warehouse, so nothing is hidden and nothing leaves.

// ingestion
Connect once. Sync continuously.
Ready-made connectors for databases, files, events and SaaS apps. Schedule the sync and Sprinkle handles schema changes, incremental loads and retries.

Data Sources

// transformation
Pipelines you can build and schedule.
Chain SQL steps into a pipeline, set the schedule, and let Sprinkle wire the dependencies. Python when you need it. No orchestration to run.

Transformation Layer

// analysis
Drag-and-drop on governed metrics.
Reports and dashboards built by picking metrics and dimensions, not writing queries. Every chart traces back to a Domain Model definition.

Or ask the Analyst Agent

// delivery
Reports, alerts and embeds.
Scheduled email and Slack reports, threshold alerts, shareable links and dashboards embedded in your own product.

Data Delivery

// model once, use everywhere

Define the business logic once. Reuse it everywhere.

The Domain Model holds every metric, entity, join and access rule. Dashboards, reports, alerts, embeds and the Analyst Agent all read from it, so four things stay true:

// consistency
Same metric, same answer.
One definition of revenue for everyone, not one per report. Change it once and every dashboard, alert and AI answer follows.
// scope
A branch head sees their branch.
Row-level rules are set once in Sprinkle and applied to dashboards, exports, embedded views and agent answers alike.
// audit
SQL behind every number.
Every chart and every AI answer can be opened to its query and its rows. Risk and finance verify rather than trust.
// portability
Swap the warehouse, or the LLM.
The definitions, joins and rules stay. They are yours, not a vendor's.

See the architecture

// and when you want to ask

Ask in plain English, on the same numbers.

The Analyst Agent sits inside the same workspace, on the same Domain Model. It answers with the SQL shown, so the number it gives is the number in the dashboard.

Revenue.dash cohorts.sql + new

Revenue — APAC drill-down

workspace / revenue / apac
REVENUE · APAC
$284,120
↓ 4.1% wow
ORDERS
12,481
↑ 2.0% wow
REVENUE TREND · LAST 30 DAYS
// industries

Built for data-intensive businesses.

The same governed platform, with the metrics, questions and proof that matter in your sector.

Lending & Fintech

Collections · Portfolio · Disbursals · Risk · Branch
Aavas · mPokket · Bright Money
Explore →

Ecommerce & Consumer Internet

Growth · Marketing · Retention · Unit economics
Swiggy · Tata CLiQ · Ace Turtle
Explore →

Logistics & Mobility

Fleet · SLAs · City ops · Cost per order
Yulu · Swiggy
Explore →

SaaS & Technology

ARR · Churn · Product usage · Pipeline · Embed
LeadSquared · Netenrich · Atomicwork
Explore →
// customer

“I'd recommend Sprinkle to every analyst I know — it's genuinely self-serve. Where RCA volume or repeated data requests are high, Sprinkle's no-code analytics comes in very handy.”

Ishu Jain
Director, Analytics
Swiggy
— 40% reduction in ad-hoc query backlog after 90 days
// why teams choose sprinkle

Outcomes, not row counts.

Measured by customers on their own warehouses — not on a vendor benchmark.

40%
// fewer ad-hoc data requests in 90 days — Swiggy
1–2 days
// from model to dashboard, down from weeks — Yulu
4×
// faster to build a pipeline than in PySpark — Yulu
4.8/5
// rating on Capterra
// built for control

Your data. Your rules. Your model.

Sprinkle runs inside your infrastructure. The four questions a security review asks, answered by the architecture rather than a certificate.

// where the data lives
In your warehouse. Nothing leaves.
Deployed in your cloud account or your own data centre and operated by your team. No extracts, no copies, no vendor-side data store.
// who sees what
Granular rules, defined in Sprinkle.
Roles and row-level rules by branch, region, product or tenant — set by your data team, no warehouse changes. Applied to every dashboard, export, embed and agent answer. Every query audited.
// whether to trust the answer
One Domain Model. Full lineage.
Every number comes from your Domain Model: every metric defined once, every entity and join, every access rule, traced back to source. The SQL behind every dashboard and every AI answer is visible, so risk and audit teams verify rather than trust.
// which model does the thinking
Bring your own LLM.
Connect the model your organisation has approved, in your cloud account or self-hosted. Prompts, schema and results stay inside your boundary.
RBACSSO / SAMLRow-level securityAudit trailMetric lineageSQL visibilityYour LLM

See the architecture

// get started

See it work,
end to end.

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GDPR · compliance built-in
SSO & RBAC · governance from day one
Runs in your infrastructure · nothing leaves your boundary