integrations

IOTA + Databricks

Transforming Data into Insight, Instantly
Geometric pattern over a gradient background with logos of both IOTA software and Databricks
IOTA VUE brings a powerful visual analytics experience to Databricks users, transforming raw data and analyses into intuitive, interactive insights. It enables teams to build rich visualizations, real-time dashboards, and streamlined workflows, bridging operational and enterprise data for better decision-making.
Benefits at a Glance:
  • Zero-Code Visual Analytics – Create interactive dashboards and visual recipes that surface insights from Databricks without writing code.
  • Unified Data Connectivity – Ingest and contextualize both time-series and enterprise data through a single visual platform.
  • AI-Enhanced Insights – Harness AI backed by Databricks to feed actionable intelligence back into operations for tactical decision-making.
  • Hybrid Visualization Power – Combine rich SQL and time-series visualization with templates and editors that blend process visualization and BI highlights.
  • Cross-Functional Collaboration – Empower operators, engineers, analysts, and executives to work from the same visual tools.
Together, IOTA VUE and Databricks form a dynamic duo—accelerating time-to-insight, democratizing analytics, and ensuring visibility across both technical and business teams.
Integration Guides:

Standardized Generic
SQL Driver

Discover the capabilities of the Generic SQL Driver for Databricks, including time-series tagging, custom query mapping, asset hierarchy creation, write-back functionality, timestamp support, multi-database connectivity, scheduling, and caching—all optimized for connecting IOTA VUE with Databricks via SQL.

Connection Configuration

Learn how to set up secure, efficient connections to Databricks SQL warehouses using the Generic SQL Driver. Covers environment setup (host, region, site), authentication options (PAT or OAuth2M2M), connection pooling, basic settings, and troubleshooting.

Schema Configuration

Step-by-step guidance for configuring schema JSON—mapping Databricks tables and views into IOTA VUE structures using table settings, defining virtual read-only queries, and enabling write-back operations with best practices.

Caching & Acceleration

Explore how to configure caching to improve performance, including asset tree caching, tag value caching, data set tag result caching, scheduling strategies, and the required CSV format for cache target definitions.