Gartner names K2view a Visionary in its Magic Quadrant for Data Integration Tools for the 3rd year in a row, and rates it higher in its ability to execute.
We’re thrilled that industry analyst firm Gartner has once again rated K2view a Visionary in the 2025 Magic Quadrant for Data Integration Tools – marking our third consecutive year in this prestigious category, with a significant improvement in our Ability to Execute rating.
According to Gartner, “Visionaries demonstrate a deep understanding of emerging technologies and evolving business trends. They’re recognized for pushing the boundaries of the market and shaping the future of data integration.”
We’re honored that the K2view Data Product Platform continues to be recognized as a world-leading data integration tool, helping enterprises make their data AI-ready through reusable data products, across every use case.
K2view continues to earn top recognition from Gartner for our innovation in data integration and AI. In its 3 comprehensive assets covering Data Integration Tools in 2025, Gartner highlights K2view’s leadership in data product architecture, GenAI enablement, and enterprise-scale performance – affirming our position as a trusted partner for delivering AI-ready data at speed and scale.
In its core Magic Quadrant report, Gartner emphasizes several key features for K2view, including:
Support for data product initiatives
“K2view organizes data by business domains – such as customer, product, and order – through its Micro-Database™ architecture. Each Micro-Database can be separately governed, persisted, or virtualized, and is equipped with its own CDC listener to ingest data in real time and detect schema changes. This supports customers’ data product initiatives.”
Strong GenAI and agentic AI support
“K2view grounds GenAI apps with integrated customer data through its GenAI Data Fusion offering. Micro-Databases support vector data and text-to-SQL. Users can design agentic orchestration workflows via K2view’s support for MCP and Agent2Agent protocols and create Data GPT models tailored to their own datasets.”
Built for operational scale
“K2view can run parallel ETL jobs for individual Micro-Database targets to support scalability and high throughput. Data transformations defined in Broadway, K2view’s low-code data flow designer, are performed in memory and processed in near-real-time. For these reasons, operational use cases like master data management and data hub are well supported by K2view.”
In its accompanying Critical Capabilities report, Gartner highlights the following K2view strengths:
Data virtualization and AI integration
“K2view exceeds expectations in data virtualization, advanced data transformation, data integration for AI, and deployment options. Dynamic switching between virtual views and persistence at a Micro-Database level enables organizations to manage their data as domain-centric entities.”
Data integration for GenAI and operational use cases
“Broadway (the K2view low-code data flow designer) comes with out-of-the-box advanced transformations (Actors) like parsers, built-in Java editors, chunking, embedding, loading into vector databases, and invoking LLMs – helping users prepare their data for AI and GenAI projects.”
Strong streaming and metadata management
“K2view’s capabilities in stream data integration and metadata management are above the market average. Broadway Actors ingest data from Kafka and JMS, apply in-stream transformations, and load data into Micro-Databases. Users can manage their metadata via the embedded catalog, K2Catalog, and track lineage for each data product.”
K2view continues to earn high praise from customers, maintaining a 5/5 12-month average rating in Gartner Peer Insights reviews for its Data Product Platform. Here’s what just a few customers had to say:
“We've had a great overall experience working with K2view. Every step of the way K2view has been there making sure that we overcome any issue we faced.”
“K2View provides the right mix of functionality, training, coaching and support. We appreciate the technical expertise of the company and the ability of the tool to integrate different data sources.”
“The K2view team is super responsive and helpful. The self-directed training and tutorials are exceptional. The platform is flexible and the TDM model is innovative, setting it apart from its competition.”
“K2view Data Product Platform is cutting-edge and rich in functionality. The K2view support team is also very responsive and available. We are expecting a strong ROI from this product.”
The Gartner 2025 evaluation highlights how K2view delivers exceptional value across a range of enterprise data integration use cases, including:
Data engineering
Our platform streamlines data pipeline design, operation, and management – enabling massive parallelism and in-memory processing for both operational and analytical use cases.
Modern data architectures
With its Micro-Database architecture, K2view helps enterprises build data product–based architectures that power data fabric, data mesh, and AI-ready ecosystems.
AI and GenAI integration
K2view connects live enterprise data to GenAI, RAG tools, and agentic AI systems – enabling the creation of data GPTs that operationalize AI with trusted, governed data for enterprise-scale AI chatbot for customer service solutions, and more.
Operational data integration
K2view supports mission-critical workloads like MDM, real-time data unification, and data hub use cases – with unmatched performance and scalability.
At K2view, we’re helping enterprises make their data AI-ready – fast, secure, and reusable. We believe that AI’s future depends on trusted, contextual, and governed enterprise data – and we’re proud to be leading that transformation.
Discover how the K2view Data Product Platform
delivers AI-ready data for every possible scenario.