We are excited to announce that Workato has been named a Visionary in the 2025 Gartner® Magic Quadrant™ for Data Integration Tools, an important evaluation of the data integration market.
Workato is now the only vendor recognized as:
- A Leader in the 2025 Magic Quadrant for iPaaS,
- And a Visionary in the Magic Quadrant for BOAT,
- And now a Visionary in the Magic Quadrant for Data Integration Tools.
We believe our placement in these reports is a clear sign of a convergence between data integration, automation, orchestration, and—now—AI. From our perspective, data engineers, data architects, and other experts are moving away from fragmented stacks and toward unified platforms like Workato One that offer a stronger foundation for building governed, end-to-end systems.
About the Gartner® Magic Quadrant™ for Data Integration
The Gartner Magic Quadrant for Data Integration provides graphical competitive positioning for data integration vendors, who are evaluated based on their ability to execute and completeness of vision.
It positions providers in 4 categories: Leaders, Challengers, Visionaries, and Niche Players. Visionaries, like Workato, understand where the market is going and have a clear vision for changing market rules.
Workato’s data integration capabilities
In the report, Gartner evaluates Workato’s robust set of data integration tools.
Workato Data Orchestration Platform is Workato’s AI-powered unified solution for moving, transforming, and activating data across your entire enterprise, from SaaS and on-prem systems to cloud data warehouses and data lakes.
It delivers seamless end-to-end data pipelines with intelligent orchestration that adapts to schema changes, self-heals from errors, and provides complete visibility at every step. For example, you could automate data movement from Salesforce and NetSuite into Snowflake, transform it using push-down SQL or DBT, then activate those insights in real-time using reverse ETL to update business applications, data APIs to power analytics dashboards, or agents and MCP servers to trigger intelligent, automated actions across your enterprise.
Workato Intelligent Document Processing is Workato’s AI-powered solution for extracting structured data from unstructured documents like PDFs, scanned invoices, and email attachments, then enriching and transforming that data for analytics and automation.
For example, Workato IDP can process vendor invoices, extract data like invoice number and amount, then take actions such as matching against purchase orders using AI, updating ERP systems, and loading reconciled data into Snowflake for auditing and financial analytics.
Workato Event Streams is a capability designed for high-throughput, real-time event ingestion and processing. It makes it possible to stream large volumes of events such as invoice arrivals, document updates, or system changes into Workato topics so they can be prioritized and processed at scale.
Workato Event Streams enables event-driven architectures that decouple workflows and process changes only when they occur. This event-driven approach reduces unnecessary processing and enables a decoupled architecture that delivers greater efficiency, higher scalability, and lower latency.
Workato’s data integration roadmap
Workato has an ambitious roadmap that extends beyond core data integration capabilities, reflecting a forward-thinking vision for the market. In the near future, expect to see data integration functions like data virtualization and advanced transformations reinforced.
Workato already delivers comprehensive AI capabilities, including Workato IDP for extracting data from unstructured sources, native connectors to leading LLM services including OpenAI, Anthropic, and Amazon Bedrock.
Workato has also enhanced its AI and metadata management support through the introduction of tools like Workato Enterprise MCP, which expose data products to AI agents and applications. You can also build custom AI Genies with Workato Agent Studio to activate insights in real-time, triggering automated workflows and business actions based on your data.
Our low-code platform features an intuitive interface with thousands of prebuilt connectors, transformations, and reusable templates that accelerate development for both data engineers and business users. With AI copilots through Workato AIRO that generate, modify, and troubleshoot pipelines using natural language, we’re making data orchestration faster and more accessible.
At this year’s World of Workato, Vijay Tummala, Director of Data Architecture & BI, explored advanced techniques for orchestrating complex data pipelines that power AI and BI initiatives.
He demonstrated how Workato streamlines connecting diverse data sources, automates large-scale data transfers, and accelerates analytics through end-to-end pipeline orchestration, powerful transformations, and seamless integrations with leading platforms, enabling enterprises to unlock greater value and innovate without boundaries.
From data integration to intelligent orchestration
We feel our Visionary placement reflects what we see and hear every day from our customers: data teams want a unified, AI-powered platform that orchestrates data flows from ingestion to transformation to activation, without the silos of legacy tools.
It is a validation of our belief that data integration, automation, and orchestration are no longer separate domains. They are converging into a single, unified software category where organizations can govern complex systems, including AI, centrally.
Organizations need platforms that not only move and transform data, but also activate insights through end-to-end pipelines, from ingestion to transformation to activation through reverse ETL, APIs, agents, and MCP servers, all governed and orchestrated from a single platform.
This market transformation is driven by a need for AI readiness.
AI initiatives layered on top of scattered systems and siloed data inevitably fail, often because they lack the unified orchestration, real-time activation, and governance that intelligent systems depend on.
AI can’t simply be bolted on after the fact. It needs to be woven directly into your enterprise architecture, supported by unified data pipelines, AI-powered copilots for faster development, and activation frameworks through reverse ETL, APIs, and MCP servers that allow AI to act with accuracy, context, and trust.
In a recent blog post by Field CTO, Data, Avinash Deshpande, he explores how enterprises are evolving from ETL to intelligent orchestration to meet these modern demands.
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Gartner and Magic Quadrant are trademarks of Gartner, Inc., and/or its affiliates.
Gartner, Magic Quadrant for Data Integration Tools, By Michele Launi, Nina Showell, Robert Thanaraj, Sharat Menon, 8 December 2025
Gartner, Magic Quadrant for Business Orchestration and Automation Technologies, By Saikat Ray, Tushar Srivastavaa, Marc Kerremans, Arthur Villa, Cathy Tornbohm, Sachin Josh, 15 October 2025