
dotData Enterprise
5.4#18 in low-code machine learning platforms softwareWebAPISelf-hosted
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| Fact | dotData Enterprise | KNIME Analytics Platform |
|---|---|---|
| Founded | 2018 | 2006 |
| Headquarters | San Mateo, California, USA | Zurich, Switzerland |
| Integrations | Listed data sources include Amazon Redshift, Google BigQuery, Snowflake, Azure Synapse, Oracle, Teradata, Microsoft SQL Server, CSV, and Tableau Hyper files. | Listed integrations include databases and warehouses such as PostgreSQL, Snowflake, Databricks, and BigQuery, plus cloud services, BI tools, and AI providers. |
| Purpose | dotData Enterprise automates feature engineering and machine learning to build predictive analytics models through a no-code workflow. | KNIME Analytics Platform creates visual workflows for data access, transformation, analysis, modeling, and visualization. |
| Security | dotData reports completing a SOC 2 Type II audit for the fourth consecutive year, with the 2026 audit scope including generative AI integrations and self-managed deployments. | KNIME describes security capabilities for user and asset management, data transfer, controlled deployment, monitoring, and logging. |
dotData Enterprise suits businesses building predictive models without requiring every user to have data-science knowledge. It also fits enterprise workflows needing large datasets, explainability, and private or hosted deployment.
The free desktop platform suits individuals who need visual data workflows, broad data connectivity, analysis, modeling, and visualization. Teams and enterprises with business needs are directed toward Business Hub, while users who code can add Python, R, or JavaScript.