dotData Enterprise
dotData Enterprise is a paid platform that automates feature engineering and machine learning through a no-code workflow for predictive analytics.
What dotData Enterprise is
dotData Enterprise is a paid platform that automates feature engineering and machine learning through a no-code workflow for predictive analytics. It connects to data sources, cleans and transforms data, supports exploratory analysis, and discovers features across multiple tables. Supported data includes numeric, categorical, time-series, text, and geospatial types. AutoML provides algorithm selection, hyperparameter search, missing-value imputation, and outlier cleansing. Explainability features include feature explanations and blueprint diagrams. The product is designed for complex table relationships and datasets with billions of rows. Listed sources include Amazon Redshift, Google BigQuery, Snowflake, Azure Synapse, Oracle, Teradata, Microsoft SQL Server, CSV, and Tableau Hyper files. Models can be deployed to dotData Ops, with predictions through the GUI or APIs; API and JDBC connectors can send results to BI systems. Deployment options include private cloud on customer AWS or Azure infrastructure and hosted dotData Cloud. Pricing is available on request, with demo requests offered for prospective customers.
Good
- No-code visual modeling workflow
- AutoML with imputation and outlier cleansing
- Explainable features and model diagrams
- Supports datasets with billions of rows
- Private-cloud or hosted deployment
Watch out
- Pricing is available only on request
- No free plan
- Enterprise product requires a demo discussion
- Deployment is described for batch use
Who it suits
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.
Verdict
dotData Enterprise brings data preparation, feature engineering, AutoML, explainability, and deployment into one enterprise workflow. Buyers should request a demo and pricing to assess fit for their data sources and hosting requirements.
Plans and prices
From dotData Enterprise's own pricing page, checked 7 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| dotData Enterprise | Priced on request | Enterprise pricing not listed; request a demo |
The facts
Each one read from dotData Enterprise's own pages, with the date it was checked.
What it does
- Audience
- The product is presented for businesses seeking predictive models, including users without data-science knowledge, and for enterprise-scale data workflows.checked 7 Oct 2026
- AutoML
- Built-in AutoML includes machine-learning algorithms, hyperparameter search, missing-value imputation, and outlier cleansing.checked 7 Oct 2026
- BI connectivity
- The product page says its API and JDBC connectors can deliver outcomes to BI dashboards and business platforms.checked 7 Oct 2026
- Current version
- dotData announced Enterprise 4.1 in November 2025, including prediction-error drill-down analysis and one-click transfer of outputs to dotData Insight.checked 7 Oct 2026
- Data preparation
- It connects to data sources, cleanses and manipulates data, and supports exploratory analysis and customized transformations.checked 7 Oct 2026
- Deployment
- The product page describes private-cloud deployment on customer AWS or Azure infrastructure and a hosted, managed dotData Cloud environment.checked 7 Oct 2026
- Explainability
- The product provides explainable features and models, including feature explanations and blueprint diagrams.checked 7 Oct 2026
- Feature engineering
- It discovers features across multiple tables and supports numeric, categorical, time-series, text, and geospatial data.checked 7 Oct 2026
- Integrations
- Listed data sources include Amazon Redshift, Google BigQuery, Snowflake, Azure Synapse, Oracle, Teradata, Microsoft SQL Server, CSV, and Tableau Hyper files.checked 7 Oct 2026
- Model deployment
- Models can be deployed to dotData Ops with one click, and predictions can be run through the GUI or APIs.checked 7 Oct 2026
- Purpose
- dotData Enterprise automates feature engineering and machine learning to build predictive analytics models through a no-code workflow.checked 7 Oct 2026
- Scale
- The Enterprise page says it supports complex table relationships and datasets with billions of rows.checked 7 Oct 2026
- 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.checked 7 Oct 2026
- Support
- dotData offers tailored support and asks prospective customers to request a demo to discuss their needs and use cases.checked 7 Oct 2026
The company
- Founded
- 2018checked 28 Sep 2026
- Headquarters
- San Mateo, California, USAchecked 28 Sep 2026
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