Ship Data Products as Fast as You Ship Code
Your engineering team builds microservices, pipelines, and ML models every week. Nobody knows what data exists, who owns it, or whether it is safe to use. You fix that with a catalog your teams actually adopt.
- Deployed at 50+ enterprises across Europe
- Native integration with Snowflake, Databricks, dbt, and Fabric
- On the Databricks MCP Marketplace — one of only 4 data catalogs
Trusted by technology and digital-native companies
Trusted by technology and digital-native companies
Built for Your Team
Dawiso speaks the language of every stakeholder in your data governance program.
One catalog across every service, pipeline, and warehouse
Your stack spans Snowflake, Databricks, dbt, Kafka, and dozens of internal services. You connect them all in one data catalog so engineers stop asking "where is this data?" on Slack.
Turn datasets into products your teams actually use
You package governed datasets as data products with clear owners, freshness guarantees, and quality scores. Product managers, marketers, and analysts find what they need without filing a ticket.
Ship AI features with governed, documented inputs
Your product roadmap depends on ML models and LLM integrations. You catalog model inputs, training data, and outputs alongside business data. When the board asks "what data feeds our AI?" you have the answer.
Proven Use Cases in Software & E-Commerce
From self-service data products to AI governance — here is how tech companies use Dawiso.
Self-Service Data Products for Every Team
Your data engineers spend half their time answering "where is the data for X?" You publish governed data products with descriptions, owners, and freshness SLAs. Product, marketing, and finance teams discover and consume data on their own.
End-to-End Lineage Across Your Modern Stack
Trace data flows from ingestion through dbt transformations to Snowflake, Databricks, and your BI layer. Column-level lineage generated from your SQL code via the SQL Parser. When a pipeline breaks, you see exactly what dashboards and models are affected.
AI Governance Before Your Models Hit Production
You run recommendation engines, pricing models, and LLM-powered features. You catalog every model alongside its training data, input sources, and owners. EU AI Act asks for documentation? It already exists in your catalog.
One Language for Engineering and Business
Engineering calls it "user_ltv_30d". Finance calls it "monthly customer value". You define shared terms in the business glossary and link them to the actual columns. Cross-functional teams stop debating definitions and start building.
Why Tech Companies Choose Dawiso
Built for Modern Data Stacks
Automated Lineage from Your SQL
SaaS, On-Prem, or Hybrid
Built for Companies That Move Fast
Dawiso is deployed at software companies, e-commerce platforms, and digital-native businesses across Europe.
European SaaS Company
Multi-product SaaS platform. Unified data catalog across Snowflake, dbt, and internal microservices. Self-service data discovery for 200+ engineers and analysts.
Digital Commerce Platform
High-traffic e-commerce operation. Governed data products for marketing, pricing, and recommendation teams. Replaced tribal knowledge with a searchable catalog.
Compliance Without Slowing Down
You ship fast and stay compliant. Dawiso handles the documentation trail so your teams focus on building.
If your product uses AI for recommendations, pricing, or content moderation, you document model inputs and governance. Your catalog already has it.
Data lineage maps where customer PII sits and how it flows across your microservices. Subject access requests become a catalog query, not a cross-team investigation.
Your auditors ask who has access to what data and how changes are tracked. Dawiso maintains a complete audit trail with role-based workflows and approval history.
Digital operational resilience requirements for tech companies serving financial clients. You prove data asset management and incident traceability from a single platform.
Key Capabilities for Software & E-Commerce
Automated Metadata Scanning
Discover and catalog metadata from data warehouses, lakehouses, BI tools, ETL pipelines, and application databases. 40+ connectors scan your systems on schedule. New tables, columns, and transformations appear in the catalog automatically.
Column-Level Data Lineage
Trace data flows from raw ingestion through dbt models to dashboards and ML features. Auto-generated from your SQL via the SQL Parser. See upstream impact before you change a table.
Data Products & Self-Service
Package governed datasets as data products with owners, descriptions, and quality indicators. Business teams discover and consume data through a searchable marketplace instead of Slack threads and wiki pages.
AI & Model Governance
Catalog AI and ML models alongside data assets. Track model inputs, training data, versions, and owners. Your MCP server lets AI agents query the catalog directly, so your LLM features work with governed context.
Business Glossary
Define shared business terms and link them to technical metadata. Revenue, churn, LTV, conversion, every metric gets one definition that engineering and business teams share. No more "which number is right?" debates.
Connects to Your Existing Data Stack
40+ connectors out of the box. From legacy Oracle databases to modern Databricks lakehouses — and we add new ones monthly.
And we are adding new connectors monthly.
What users say
5.0 on Capterra · Gartner Peer Insights
What You Get in a 30-Minute Demo
30 minutes, tailored to your institution. No slides — just the live platform with your use cases.
Frequently Asked Questions
Does Dawiso work with our modern data stack?
Dawiso connects to 40+ data sources including Snowflake, Databricks, dbt, Kafka, PostgreSQL, Redshift, Power BI, Tableau, and more. The MCP server enables AI agent integration directly with your catalog. For internal services or custom sources, the REST API covers anything without a native connector. See the full list on our Connectors page.
How long does implementation take?
Most tech companies go live with a working catalog in weeks. Automated metadata scanning eliminates manual work, and the SQL Parser generates lineage from your existing code without custom development. SaaS deployment means no infrastructure setup on your side.
Can Dawiso help us with EU AI Act compliance?
Yes. Dawiso catalogs AI and ML models alongside data assets, documenting model inputs, training data, outputs, versions, and owners. This provides the documentation trail the EU AI Act requires for high-risk AI systems used in recommendations, pricing, content moderation, and other product features.
How does Dawiso support data products?
Data products in Dawiso let you package governed datasets with owners, descriptions, freshness SLAs, and quality scores. Business teams discover and consume data through a searchable marketplace. Data engineers define the product once and every consumer gets the same governed, documented dataset.
What deployment options are available?
Dawiso is available as SaaS, on-premise, or hybrid with full feature parity. Most software companies choose SaaS for zero-ops deployment. Enterprise authentication via Azure AD, LDAP, and SAML is included in every option.
How is Dawiso priced?
Dawiso is priced per user, not per data source or scanned object. You roll out governance to every team without per-connector fees. See our pricing page or book a demo for a quote tailored to your team size.
Talk to our team See How Dawiso Works for Your Tech Stack
A live demo built around your data architecture. Snowflake, Databricks, dbt, whatever you run. 30 minutes. No slides.
