SnapLogic named a Leader in the 2026 Gartner(R) Magic Quadrant(TM) for Data Integration Tools. Recognition highlights SnapLogic's AI-native innovation built on data integration capabilities and commitment to powering the agentic enterprise. November 04, 2026 11:48 ET | Source: SnapLogic San Mateo, California, Nov. 04, 2026 (GLOBE NEWSWIRE) - SnapLogic, the AI operational layer for the Agentic Enterprise, today announced that it has been named a Leader in the 2026 Gartner(R) Magic Quadrant(TM) for Data Integration Tools*. SnapLogic believes this recognition reflects its continued innovation in AI-powered integration and its commitment to helping enterprises connect, modernize, and operationalize their data for the AI era. "Enterprises are done experimenting with AI - they need production-grade execution that connects data, applications, and AI agents securely at scale," said Dayle Hall, CMO of SnapLogic. "To us, being recognized as a Leader in the Gartner Magic Quadrant validates what our customers see every day: data integration is the backbone of AI success. By pairing AI-native connectivity with intelligent, agentic integration, automation and governance, we eliminate the fragmentation holding teams back and turn AI investments into measurable bottom-line results. This isn't a pipe dream. We are seeing it every day with our customers and what an exciting time to be in the industry" Throughout 2026, SnapLogic has continued to advance its platform with new AI-powered and agentic capabilities, including: * AI-driven integration development: A major evolution of SnapGPT, SnapLogic's agentic assistant, introduces planning, pipeline generation, troubleshooting, and operational intelligence capabilities to help teams accelerate the integration lifecycle. SnapCode extends integration development into AI coding environments, enabling developers to build and manage integrations using their preferred AI coding tools. * Governed connectivity for AI agents: SnapLogic's Enterprise MCP capabilities enable organizations to expose existing integration pipelines and enterprise systems as governed tools that AI agents can securely access and execute, connecting AI-driven decisions with real business processes. * Accelerated legacy modernization: New agentic capabilities in SnapLogic Intelligent Modernizer (SLIM) help enterprises analyze, migrate, and modernize legacy integration workloads, reducing technical debt and creating a stronger foundation for AI adoption. * Enterprise AI development and orchestration: Continued enhancements to AgentCreator and the broader platform make it easier for organizations to build, connect, deploy, and govern AI agents that can operate across enterprise systems and data sources. These innovations reinforce SnapLogic's mission to democratize integration across the enterprise, empowering everyone from IT teams and business leaders to autonomous AI agents. By unifying data, application, API, and agent integration into a single environment, the SnapLogic Agentic Integration and Applied AI Platform delivers the connectivity, orchestration, and governance required to modernize legacy infrastructure, accelerate deployment, and reliably move AI initiatives into production. SnapLogic believes its placement as a Leader builds on its consistent recognition in the Gartner Magic Quadrant for Data Integration Tools and underscores the growing importance of intelligent integration as organizations work to scale AI and deliver measurable business outcomes. *Gartner, Magic Quadrant for Data Integration Tools, By Thornton Craig, Robert Thanaraj, Sharat Menon, Nina Showell, Jenna Goodrich, 2 November 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner's business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. About SnapLogic SnapLogic powers the agentic enterprise. The company's Agentic Integration and Applied AI Platform serves as the AI operational layer for the enterprise, securely connecting applications, data, APIs and AI agents across cloud, on-premise and hybrid environments. With trusted orchestration, governance and enterprise-grade control, SnapLogic helps organizations accelerate business value and scale AI with confidence. Unlike legacy tools, SnapLogic is built for the AI era and trusted by global enterprises, including AstraZeneca, Adobe, Verizon, and Sony, to modernize operations and power the next generation of enterprise AI. Join the Agentic Integration movement at snaplogic.com.

SnapLogic expands Agentic Integration Platform to help enterprises build, connect, and operate AI agents. Natural-language creation of AI agents, 545 prebuilt agentic tools, and Amazon Bedrock RAG capabilities help bring enterprise AI into production. San Mateo, California, Oct. 20, 2026 (GLOBE NEWSWIRE) - SnapLogic, the Agentic Integration Company, today announced new capabilities across its Agentic Integration Platform that make it easier for enterprises to build AI agents, connect them to business systems and data, and put them to work across complex processes. Spanning SnapGPT, SnapLogic MCP Server, and AgentCreator, the latest enhancements help enterprise teams move agentic AI from development into production while reducing the integration work required to put AI to work across the business. Enterprises have invested in AI, but faster individual tasks do not automatically translate into better business outcomes. An AI agent can generate an answer or complete a task in seconds, but its impact is limited if it cannot access the right enterprise data, interact with the systems where work happens, or take action across a broader process. Turning AI investment into measurable business value requires connecting models and agents to the infrastructure around them, mapping their actions accurately to the business processes, and ensuring that the output remains auditable and explicable. SnapLogic's latest capabilities make those connections easier, giving enterprises a more direct path from AI experimentation to production. New capabilities include: * Building complete agent workflows with natural language: SnapGPT can now generate complete agent and MCP Server pipelines directly from natural-language prompts, reducing the manual work required to assemble agentic workflows. Additional enhancements include persistent chat history, refreshed skill descriptions, and the ability to save AI-generated pipeline descriptions directly to the pipeline. * Connecting AI agents to 44 enterprise technologies: SnapLogic introduced 545 prebuilt agentic-tool pipeline patterns that expose third-party enterprise services as standardized MCP servers. The ready-to-use patterns allow agents to retrieve data, take actions, and automate tasks across enterprise systems without requiring teams to build each integration from scratch. * Giving agents the tools to operate enterprise workflows: SnapLogic MCP Server now includes 15 new tools that allow AI agents to monitor pipeline runs, diagnose failures, check environment health, manage users and groups, and review scheduled tasks without leaving the AI-assisted development session. Additional capabilities support large file uploads and execution controls, while bulk MCP log downloads give teams greater visibility for auditing and troubleshooting. * Building production-ready RAG with Amazon Bedrock: Three new Amazon Bedrock Snaps - MKB Retrieve, MKB Agentic Retrieve, and MKB Ingest Documents - connect SnapLogic pipelines directly to an Amazon Bedrock Managed Knowledge Base. Enterprises can ingest and query their data directly from a pipeline without custom retrieval or ingestion code, supporting use cases such as support chatbots grounded in enterprise documentation, document-based Q&A, and scheduled knowledge base refreshes. "AI ROI doesn't come from making isolated tasks faster or isolated individuals more productive. It comes from reengineering the processes around tasks and orchestrating AI across the systems, data, and workflows that actually run the business," said Jeremiah Stone, CTO at SnapLogic. "Agents require more than pure model intelligence to deliver meaningful results. They need context and the ability to act across the business in a carefully governed manner. Combined, seamless data access, model intelligence, and governance enable enterprises to move agents beyond isolated experiments and put them to work on the processes that drive revenue, efficiency, and risk." The latest capabilities build on SnapLogic's Agentic Integration Platform, which brings together integration, automation, agent development, and MCP connectivity to help enterprises operationalize AI across their existing technology environments. About SnapLogic SnapLogic powers the agentic enterprise. The company's Agentic Integration and Applied AI Platform serves as the AI operational layer for the enterprise, securely connecting applications, data, APIs and AI agents across cloud, on-premise and hybrid environments. With trusted orchestration, governance and enterprise-grade control, SnapLogic helps organizations accelerate business value and scale AI with confidence. Unlike legacy tools, SnapLogic is built for the AI era and trusted by global enterprises, including AstraZeneca, Adobe, Verizon, and Sony, to modernize operations and power the next generation of enterprise AI. Join the Agentic Integration movement at snaplogic.com. Gemma Smith SnapLogic [email protected] Bianca Robles Offleash PR for SnapLogic [email protected] Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. Alabama Business Reporter do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.