The market for data integration tools consists of stand-alone software products that enable organizations to combine data from multiple sources and perform tasks related to data access, transformation, enrichment and delivery. They enable use cases such as data engineering, delivering modern data architectures, self-service data integration, operational data integration and supporting AI projects. Data management leaders procure data integration tools for their teams, including data engineers and data architects, or for other users, such as business analysts or data scientists. These products are primarily consumed as SaaS or deployed on-premises, in public or private cloud, or in hybrid configurations.

Data Integration Tools

Gartner defines data management platforms as integrated, dynamic data environments for managing enterprise data with operational simplicity. DMPs bring different data management capabilities into a single platform, enabling technical and business users to efficiently manage data for operational, analytical and AI use cases. DMPs use shared metadata to automate data management activities, paving the way for more advanced data ecosystems. A DMP is a commercial solution from a single vendor for managing general-purpose data for an organization, unlike a customer data platform.

Data Management Platforms

Gartner defines analytics and business intelligence platforms (ABI) as those that enable organizations to model, analyze and visualize data to support informed decision making and value creation. These platforms facilitate the preparation of data and the creation of interactive dashboards, reports and visualizations to uncover patterns, predict trends and optimize operations. By doing so, they empower users to collaborate and effectively communicate the dimensions and measures that drive their organization. The platforms may also optionally include the ability to create, modify or enrich a semantic model, including business rules.
Analytics and business intelligence platforms integrate data from multiple sources, such as databases, spreadsheets, cloud services and external data feeds, to provide a unified view of data, breaking down silos and transforming raw data into meaningful insights. They also allow users to clean, transform and prepare data for analysis, in addition to creating data models that define relationships between different data entities.

Analytics and Business Intelligence Platforms

Gartner defines the market for cloud database management systems (DBMSs) as software products that store and manipulate data and are primarily delivered as platform as a service (PaaS) in the cloud. Cloud DBMSs may optionally be capable of running on-premises or in hybrid, multicloud or intercloud configurations. They can be used for transactional and/or analytical work. They typically persist data using a combination of proprietary and open components in a durable manner, enabling a full range of create, read, update and delete operations. They are used by application end users, designers, developers and operators of large database systems.

Cloud Database Management Systems

Microsoft Fabric Reviews, Ratings & Features 2026 | Gartner Peer Insights

Evaluation and contract negotiation

Evaluation & Contracting

Ability to understand your organization's needs

Timely and complete response to product questions

Pricing and contract flexibility (pricing and terms)

Integration and deployment

Integration & Deployment

Availability of quality 3rd-party resources (integrators, service providers, etc.)

Ease of integration using standard APIs and tools

Quality and availability of end-user training

Ease of deployment

Service and support

Service & Support

Timeliness of vendor's response

Quality of technical support

Quality of peer user community

Product capabilities

Product Capabilities

Bulk/Batch Data Movement

Data Federation/Virtualization

Message-Oriented Movement

Data Replication & Synchronization

Data Movement Topology

Data Virtualization

Stream Data Integration

API Services

Advanced Data Transformation

Augmented User Experience

Metadata Management Support

Integration Portability

Data Preparation

Data Governance Support

DataOps Support

FinOps Support

Additional Context

AWS Glue

Amazon Web Services (AWS)

Safe Software

Informatica PowerCenter

Informatica

Ab Initio

SQL Server

Microsoft

Fivetran

Denodo Platform

Denodo

Qlik Talend Cloud

Qlik

Matillion ETL

Matillion

Alteryx One Platform

Alteryx

10B - 30B USD

30B + USD

<50M USD

250M - 500M USD

500M - 1B USD

50M - 250M USD

1B - 3B USD

Microsoft Fabric

Data Consultant

Experience itself is good, will be good to see the functionality become robust and settled

Fabric offers good integration with MS SQL ecosystem / Azure and PowerBI, and appears to be a good replacement for older technologies. There are some drawbacks, with functionality being a fairly new product it lacks some features existing products offer such as RowVersion as a data type isn't yet compatible for example. However, new features are being added frequently, often addressing issues i have previously had.

Google

Other...

Workato

CData Software

dbt Labs

Oracle

OpenText

Datameer

Boomi

SnapLogic

HULFT

Confluent

DQLabs

Ascend.io

Airbyte

Data Analyst

High potential for data integration solutions with open delta format, however public preview features and lack of robustness in monitoring solutions hinders adoption

ENGINEERING MANAGER

Overall is okay but it is still require a lot oof workarounds 

ASSOCIATE DIRECTOR OF DATA AND ANALYTICS

Microsoft Fabric is a game changer for small data teams. The options are endless (for good and bad) and we are no longer limited by our data platform

DIRECTOR

Microsoft Fabric is very integrated with each service even prev. product.
Our primary objective in adopting Azure Data Factory was to establish a unified orchestration layer for managing enterprise-wide data integration from SAP, MES, many local systems and MS Dynamics. To meet this goal, we leveraged a 3rd-party SAP connector integrated into ADF via a self-hosted integration runtime.
This setup allowed us to reliably extract delta data from SAP without building complex logic in both SAP and ADF.
Generally, this platform enables centralized governance and automation across the global pipeline.
Building on the previous setup, Fabric Data Factory makes it easier to create pipelines and improves integration with tools like Power BI.

Manager of IT Services

Our original goal was to process and standardize OT data from multiple factory systems with Azure Data Factory. ADF provided the flexibility needed for complex ETL logic, but it was too specialized for shop-floor engineers to maintain or adjust pipelines on their own
Fabric Data factory makes pipeline authoring far more intuitive and deepens integration with business facing tools such as Power BI. The migration has markedly improved our responsiveness to real-time operational needs and boosted productivity. both in development speed and in how quickly insights reach decision-makers.

Data and Analytics Enablement

MS Fabric is bridging a gap between a gap between setup of "Professional" Data engineering and Data  Analytical products and set of products that aim to Democratize data engineering and analytics 

Active

Find the top Data Integration Tools with Gartner. Compare and filter by verified product reviews and choose the software that’s right for your organization.

50M-1B USD

1B-10B USD

10B+ USD

Director of AI Application & Advancement Department

Fabric integrates power bi with existing services, it is easy to use, but the pricing seems a bit expensive

DATA ANALYST

My experience of using Microsoft fabric is like you have all your data and and it tools working together seamlessly under one roof. So instead of switching between multiple platforms, you get a unified experience where everything is interconnected - data storage, data transformation, AI, reporting, visualization and more.
Its integration with Microsoft 365 makes collaboration easy, and AI-powered features like copilot help by automating repetitive work and offering smart suggestions. 

SR.BI ENGINEER

My overall experience has been outstanding. The product has significantly enhanced our data integration capabilities, streamlined our workflows, and improved our operational efficiency. Despite a few initial setup challenges, the product's robust features and excellent customer support have made a positive impact

DIRECTOR DATA ENGINEERING

Provides a complete cohesive package for data professionals to do everything from beginning to end.

Principal Consultant

The overall plan for Fabric is really very compelling. While it's a work in progress, the team is constantly delivering functionality.

Data Engineer

We've done a market research to determine the best fit for our latest data project that will enable 2 business lines to automate much of the repeating work. Fabric has come out on top and despite being brand new, the adoption has been smooth with excellent support.

Dynamics 365 Solution Architect And Power BI Manager

I recently had the privilege of working with Microsoft Fabric in our Dynamics 365 environments, and I must say that the experience has been nothing short of exceptional. As an organization, we were seeking a robust, scalable, and user-friendly solution to enhance our user interfaces and streamline our processes. Fabric delivered on all fronts: 
Increased efficiency - Users are appreciating streamlined workflows and intuitive interfaces, which is resulting in faster task completion. 
We have consistent experience - The design in Fabric eliminated confusion and reduced training time. 
Scalability - As our organization has grown rapidly, Fabric's scalability has ensured that our applications can evolve seamlessly. 

Director

One integrated solution - a product that is evolving all the time

The product itself is very future oriented but functionality is not always available. Therefore the support via a Microsoft CSA was/is very helpful whenever you start integrating this product into your landscape.

Great BI solution where the business user can be involved in the complete end-to-end process.

Technical Delivery Manager

The product provides powerful end-user features to gain insights quickly.

Microsoft Fabric is a data analytics software that integrates multiple tools for data integration, data engineering, data warehousing, data science, real-time analytics and business intelligence into a single platform. The software supports connectivity across sources and provides a unified experience for data preparation, transformation and modeling. Microsoft Fabric enables organizations to store, manage and analyze data from various sources by offering access to lakehouse architecture, semantic models and reporting features. The software addresses challenges related to disparate data tools and data silos by offering centralized governance, security and collaboration functions aimed at streamlining analytics processes for business decision-making.

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