v3.2 · Now with AI pipelines

Ship data. Not tickets. At any scale.

Data Work Project is the modern platform for teams who build with data. Ingest, transform, observe, and deploy — all in one unified workspace. No glue code. No vendor sprawl.

Start building free See how it works

Data teams

0 PB

Processed daily

Uptime SLA

+0%

Faster delivery

Events / sec

Pipeline live stream-42 · 18 nodes · 0 errors

SnowflakeDatabricksdbt LabsApache Spark KafkaAirflowFivetranLooker SnowflakeDatabricksdbt LabsApache Spark KafkaAirflowFivetranLooker

Platform

One platform. Every data need.

From event ingestion to production ML — composable primitives that just work together.

Real-time ingestion at any volume

Stream millions of events per second with sub-second latency. Native connectors for Kafka, Kinesis, Pub/Sub, and 200+ sources.

$ dwp stream --source kafka://events --sink snowflake://prod ✓ live

Enterprise-grade security

SOC 2 Type II, HIPAA, GDPR. SSO, RBAC, full audit trails.

AI pipelines built in

Vector stores, feature stores, and model registries — ready on day one.

Live observability

Every job, every model, every pipeline — monitored in real time.

Elastic orchestration

Auto-scaling compute that adapts to your workload. Scale to zero when idle.

Active data teams

0 PB

Processed daily

Pipelines running

Platform uptime

Workflow

From raw data to insight in four steps

Connect, transform, monitor, deploy — all from one interface.

STEP 01

Connect sources

Plug in databases, APIs, event streams and SaaS tools with 200+ pre-built connectors.

STEP 02

Transform & model

Use SQL, Python or a visual builder to clean, join and model data at any scale.

STEP 03

Monitor & alert

Track data quality, pipeline health and model drift with real-time dashboards.

STEP 04

Serve & scale

Expose clean data via APIs, dashboards or AI apps — backed by auto-scaling infrastructure.

Solutions

Built for every data team

Whether you're a two-person startup or a Fortune 500, Data Work Project scales with you.

Analytics

Insight Engine

Self-serve analytics for product and business teams. Query billions of rows in seconds with zero tuning.

Sub-second queries
200+ connectors
Semantic layer
Embedded dashboards

Explore Analytics

Engineering

Pipeline Pro

Build and monitor production-grade data pipelines with built-in lineage, testing and versioning.

99.99% uptime SLA
Auto-scaling
Column-level lineage
Data contracts

Explore Pipelines

AI / ML

Model Ops

Train, deploy and monitor ML models at scale. Native LLM and vector search support for modern AI apps.

GPU accelerated
Any framework
Vector store
Feature store

Explore Model Ops

Customer stories

Loved by 5,200+ data teams

Real results from teams building on Data Work Project.

"We cut our pipeline delivery time from 6 weeks to 3 days. The observability layer alone caught 40+ silent failures in the first month. Absolute game-changer."

Priya SharmaHead of Data · FinFlow

"We process 240K events per second through Data Work Project. The auto-scaling is flawless — we've never hit a bottleneck, even during peak Black Friday traffic."

Marcus ChenVP Engineering · Cartly

"The AI/ML tooling is second to none. We deployed our first LLM-powered feature in two days using their vector store and model registry. Our data scientists love it."

Elena VasquezLead Data Scientist · NeuroLabs

FAQ

Everything you need to know

Most teams are up and running within 15 minutes. Connect your first data source, write a transform, and deploy a pipeline — all from our web interface. No infrastructure to provision, no software to install.

We support 200+ connectors including PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery, Redshift, Kafka, Kinesis, S3, GCS, Salesforce, HubSpot, and generic REST/GraphQL APIs. Custom connectors can be built with our SDK.

We offer usage-based pricing starting free for small teams. You pay for compute and storage consumed — no per-seat charges. Volume discounts kick in automatically as you scale. Enterprise plans include dedicated support and custom SLAs.

Absolutely. We are SOC 2 Type II certified, HIPAA and GDPR compliant. All data is encrypted in transit (TLS 1.3) and at rest (AES-256). We offer private VPC deployment, RBAC, SSO/SAML, and full audit logging.

Yes — our Model Ops suite supports training, versioning, deployment, and monitoring of ML models. We natively support LLMs, vector databases, feature stores, and popular frameworks like PyTorch, TensorFlow and scikit-learn.

All plans include community support and documentation. Professional plans add email and chat support with 4-hour response. Enterprise plans include a dedicated Slack channel, 24/7 on-call, and quarterly business reviews.

Limited time · Free trial

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