BigML review
A flexible low-code predictive platform with broad modeling, automation, and deployment options.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
BigML is a cloud and deployable machine learning platform for analysts, developers, scientists, and organizations. It covers classification, regression, time-series forecasting, clustering, anomaly detection, association discovery, topic modeling, and image-related workflows. Users can prepare data, train and evaluate models, create predictions through APIs, export models, and automate workflows. It suits teams that want a low-code predictive analytics environment with both cloud and private deployment options.
Pricing spans a free plan and paid deployments. FREE costs $0 per month and includes unlimited tasks and resources, with a 16 MB maximum dataset size per task and two maximum parallel tasks per user. BigML Lite costs $1,000 per month or $10,000 per year and includes five users, one organization, one server with eight cores, and standard 8x5 support through email and chat. Bronze Enterprise costs $45,000 per year and includes up to one server, eight cores, unlimited users, unlimited organizations, and auto-scaling. A three-day free trial is also available.
The platform’s strongest fit is for teams that need more than a single modeling workflow. OptiML provides automated model selection and parameter optimization, while evaluation supports multiple performance metrics. Explainability and interactive visualizations add interpretation, and WhizzML, Scriptify, REST APIs, and language bindings support workflow automation and application integration. Connections include PostgreSQL, MySQL, SQL Server, Elasticsearch, Amazon S3, Google Cloud Storage, Google Drive, Microsoft Azure Storage, HDFS, OData, Dropbox, Google Sheets, Zapier, Node-RED, and Amazon Alexa. Choose BigML when deployment flexibility and predictive workflow breadth matter; smaller teams with limited budgets may prefer the free plan or should weigh the paid entry point carefully.
BigML pros and cons
- Where it wins
- Free plan includes unlimited tasks and resources
- Supports forecasting, AutoML, evaluation, and explainability
- Cloud, on-premises, private-cloud, API, and self-hosted options
- Where it doesn't
- Paid entry starts at $1,000 per month
- Free tasks are limited to 16 MB datasets and two parallel tasks
- BigML Lite is limited to five users and one organization
BigML fact sheet, pricing and score →
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