dotData Enterprise
dotdata.com
Spec sheet
- Purpose
- dotData Enterprise automates feature engineering and machine learning to build predictive analytics models through a no-code workflow.Read 7 Oct 2026 · dotdata.com
- Audience
- The product is presented for businesses seeking predictive models, including users without data-science knowledge, and for enterprise-scale data workflows.Read 7 Oct 2026 · dotdata.com
- Deployment
- The product page describes private-cloud deployment on customer AWS or Azure infrastructure and a hosted, managed dotData Cloud environment.Read 7 Oct 2026 · dotdata.com
- Integrations
- Listed data sources include Amazon Redshift, Google BigQuery, Snowflake, Azure Synapse, Oracle, Teradata, Microsoft SQL Server, CSV, and Tableau Hyper files.Read 7 Oct 2026 · dotdata.com
- 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.Read 7 Oct 2026 · dotdata.com
- Support
- dotData offers tailored support and asks prospective customers to request a demo to discuss their needs and use cases.Read 7 Oct 2026 · dotdata.com
- Headquarters
- San Mateo, California, USARead 28 Sep 2026 · dotdata.com
- Founded
- 2018Read 28 Sep 2026 · dotdata.com
- AutoML
- Built-in AutoML includes machine-learning algorithms, hyperparameter search, missing-value imputation, and outlier cleansing.Read 7 Oct 2026 · dotdata.com
- BI connectivity
- The product page says its API and JDBC connectors can deliver outcomes to BI dashboards and business platforms.Read 7 Oct 2026 · dotdata.com
- 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.Read 7 Oct 2026 · dotdata.com
- Data preparation
- It connects to data sources, cleanses and manipulates data, and supports exploratory analysis and customized transformations.Read 7 Oct 2026 · dotdata.com
- Explainability
- The product provides explainable features and models, including feature explanations and blueprint diagrams.Read 7 Oct 2026 · dotdata.com
- Feature engineering
- It discovers features across multiple tables and supports numeric, categorical, time-series, text, and geospatial data.Read 7 Oct 2026 · dotdata.com
- Model deployment
- Models can be deployed to dotData Ops with one click, and predictions can be run through the GUI or APIs.Read 7 Oct 2026 · dotdata.com
- Scale
- The Enterprise page says it supports complex table relationships and datasets with billions of rows.Read 7 Oct 2026 · dotdata.com
Plans and prices
dotData Enterprise Priced on request Enterprise pricing not listed; request a demo Read 7 Oct 2026 · dotdata.com
Where Specifiction places it
- Low-Code Machine Learning Platforms Software#10 of 287.4
- AutoML Software#17 of 307.5