Altair has announced significant enhancements to Altair RapidMiner, its data analytics and artificial intelligence (AI) platform, as of October 28, 2025. According to Altair, these updates focus on integrating automation, advanced governance, real-time analytics, and broader self-service data preparation to help organizations operationalize intelligence within unified data environments.
The release introduces advancements across several components. Altair AI Cloud now features Agent Studio, an environment for constructing and orchestrating agent workflows that blend large language models, machine learning, and enterprise data. The update emphasizes multi-agent collaboration, allowing for agents to reason, automate, and retrieve information collectively. Altair claims that this approach transforms traditional data management into dynamic and autonomous processes.
Altair Graph Studio serves as the platform’s data governance core, with Model Context Protocol integration to facilitate agent interaction, semantic querying, and decision-making. New capabilities include embedded large language model copilots for easier metadata and ontology management, as well as fine-grained, attribute-based access controls and policy-driven governance intended to improve privacy, compliance, and data lifecycle management.
On the analytics front, Altair Panopticon introduces a redesigned network graph visualization—now with richer node-edge detail and advanced labeling options. The update offers a guided workbook builder and automatic data refresh for live dashboard creation. New features include expanded data connectivity, notably InfluxDB v2 support, improved data table management, faster rendering, and enhanced alerting for industries requiring real-time operational insights.
For unified analytics and language interoperability, Altair RapidMiner modernizes support for teams migrating from legacy SAS environments with Altair SLC, which now adds a Databricks connector, expanded Hadoop Distributed File System (HDFS) and Tagsets.RTF support, and improved compatibility for SAS, Python, R, and SQL within a single framework. The SLC Hub introduces a command-line interface (HubCLI), Windows credential integration, and centralized orchestration for workload management. Altair Analytics Workbench supports multi-language workflows, AI-assisted code generation, and enhanced collaboration on Windows, Linux, and macOS.
Altair Monarch extends its self-service data preparation tools, enabling analysts to apply Monarch expressions directly to data sources via Open Database Connectivity, including SQL Server, Oracle, MySQL, and DB2. New OData connector functions and improved data lineage features have also been added. For enterprise deployments, Altair Monarch Server now supports SQL Azure, unified job logs, and consolidated interfaces for pre-mined table access—designed to automate and govern data pipelines from workstation to data center scale.
Source: Altair
