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One Data
What it is
One Data is a modular data management platform for enterprise reporting, analytics, and AI. It turns fragmented legacy information into governed data products by extracting technical metadata, adding business definitions and ownership, and mapping data flows, dependencies, completeness, and lineage. Data contracts can specify schemas, quality thresholds, service levels, and ownership, with continuous checks and alerts for violations. Use Case Portfolio Management connects proposed work to business goals, while Use Case Builder records requirements in structured terms. The Code Automation Engine can generate transformation logic, pipeline scaffolding, and schema definitions for environments including Databricks, dbt, and Snowflake. A searchable Data Product Marketplace shows metadata, contract status, quality indicators, lineage summaries, and ownership, and supports access requests. One Data connects with named tools such as Snowflake, Tableau, Power BI, and PostgreSQL. It supports customer-cloud, on-premises, or hosted deployment, with hybrid operation, governance controls, cataloging, and lineage.
For and against
For
- Maps lineage, dependencies, and data use
- Defines contracts with quality alerts
- Generates transformation and pipeline code
- Searchable marketplace for governed products
- Supports cloud, on-premises, or hosted deployment
Against
- Pricing is available only on request
- On-premises deployment depends on Kubernetes requirements
- Permissions in connected systems remain managed there
The verdict
One Data combines cataloging, lineage, contracts, business alignment, and code generation in one platform. Its deployment choices and named integrations support varied enterprise setups, while prospective customers must request pricing.
Who it suits
It suits data engineers, stewards, business analysts, AI and analytics teams, and data leadership in enterprise environments. Organizations needing governed data products and flexible deployment can consider it.
On the record
- Access controls
- Users can grant, restrict, or revoke access to data products in One Data with an audit trail, while permissions in connected external systems remain managed there.onedata.ai · read 7 Oct 2026
- AI providers
- One Data says its AI features can connect to OpenAI, Azure OpenAI, AWS Bedrock, and Google Vertex AI, with the organization controlling model choice and data destination.onedata.ai · read 7 Oct 2026
- Automation
- The Code Automation Engine generates transformation logic, pipeline scaffolding, and schema definitions from captured requirements.onedata.ai · read 7 Oct 2026
- Business alignment
- Use Case Portfolio Management links use cases to business goals for evaluation and prioritization, while Use Case Builder captures requirements in structured terms.onedata.ai · read 7 Oct 2026
- Certifications
- The security page says One Data has held ISO 27001:2022 certification since 2022 and participates in TISAX.onedata.ai · read 7 Oct 2026
- Code automation
- One Data can turn data product requirements and quality rules into executable code for environments including Databricks, dbt, and Snowflake.onedata.ai · read 7 Oct 2026
- Company
- One Data says it was founded in Passau, Germany, in 2013 and lists offices in Munich, Passau, Frankfurt, and Berlin.onedata.ai · read 7 Oct 2026
- Customer support portal
- The customer portal offers manuals, a service desk for support tickets, and a user community.onedata.ai · read 7 Oct 2026
- Data contracts
- Data contracts can define schemas, quality thresholds, SLAs, and ownership, with continuous monitoring and violation alerts.onedata.ai · read 7 Oct 2026
- Data products
- Its marketplace lets teams search for, evaluate, request access to, and create governed data products.onedata.ai · read 7 Oct 2026
- Data residency
- European data residency is available.onedata.ai · read 7 Oct 2026
- Data visibility
- The platform maps data use, completeness, lineage, dependencies, and connections across systems and domains.onedata.ai · read 7 Oct 2026
- Deployment
- One Data can run in a customer’s AWS or Azure cloud, on premises, or hosted by One Data; on-premises deployment depends on Kubernetes and infrastructure requirements.onedata.ai · read 7 Oct 2026
- Integrations
- The platform page names Databricks, Snowflake, Tableau, Power BI, and PostgreSQL as examples of compatible data platforms and tools.onedata.ai · read 7 Oct 2026
- Marketplace
- The Data Product Marketplace is a searchable self-service directory with product metadata, contract status, quality indicators, lineage summaries, and ownership.onedata.ai · read 7 Oct 2026
- Metadata and lineage
- The platform extracts technical metadata, lets stewards add business definitions and ownership, and maps data flows for lineage and impact analysis.onedata.ai · read 7 Oct 2026
- Pricing availability
- The pages reviewed direct prospective customers to book a demo or contact One Data; they do not state product plan prices.onedata.ai · read 7 Oct 2026
- Purpose
- One Data is a modular data management platform that turns fragmented legacy data into governed, context-rich data products for reporting, analytics, and AI.onedata.ai · read 7 Oct 2026
