Predictive analytics software uses historical data and machine learning to forecast outcomes such as churn, demand, risk or equipment failure. Platforms differ in who they serve: automated tools for analysts, notebooks and pipelines for data scientists, and managed cloud ML services for engineering teams.
This page compares eight options across those groups: enterprise AI platforms (DataRobot, SAS Viya), analytics automation (Alteryx, Altair RapidMiner), lakehouse and cloud ML services (Databricks, Amazon SageMaker, Google Vertex AI) and the open-source H2O-3 library. Pricing is mostly usage-based or by quote, so the focus is on fit rather than price.
Tools, licences and pricing checked against vendor and repository pages on November 7, 2026.
What to look for
•Automated machine learning versus code-first workflows
•Data connectivity and where the data already lives
•Model deployment, monitoring and governance
•Explainability of predictions
•Skills required: analyst, data scientist or ML engineer
Best for: Enterprises that want governed AI and automated modelling · See vendor pricing
DataRobot is an enterprise AI company with a platform to build, operate and govern AI agents and models, deployable on-prem, hybrid or across clouds. It offers a trial and demo.
Best for: Analysts who want visual, no-code analytics pipelines · See vendor pricing; free trial available
Alteryx One is an analytics automation platform with visual workflows. Its site lists use cases such as demand forecasting and price scenario modelling and offers a free trial.
Strengths
+ Visual workflow builder for analysts
+ Free trial
Trade-offs
− Predictive features sit within a broader analytics suite
Best for: Teams building ML on a lakehouse with data scientists · Pay as you go (billed by usage in DBUs); committed-use contracts; free trial
Databricks is a data and AI platform covering data engineering, warehousing and AI. Billing is pay-as-you-go by compute usage, with committed-use discounts, a free trial and a limited Community Edition for learning Spark.
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How to choose
If you need…
Start with
Governed enterprise AI with automation
DataRobot, SAS Viya
No-code analytics for analysts
Alteryx, Altair RapidMiner
ML on a lakehouse
Databricks
Open-source AutoML
H2O-3
Already committed to a hyperscaler
Amazon SageMaker, Google Vertex AI
Predictive Analytics Software: FAQ
Quick answers to common questions
What is predictive analytics?
It applies statistics and machine learning to historical data to estimate future outcomes, such as likelihood to churn or demand next month.
Do I need a data scientist?
Not always. Tools such as DataRobot and Alteryx aim at analysts with automated or visual workflows, but data science skills help validate models.
Is there a free open-source option?
H2O-3 is Apache-2.0 licensed and free to self-host. Databricks also offers a limited Community Edition for learning Spark.
How is predictive analytics software priced?
Most platforms use quotes or usage-based billing. Databricks bills by compute usage, and cloud ML services charge by usage. Always confirm with the vendor.