Best Data Integration Tools42Data integration involves combining data residing in different sources and providing users with a unified view of these data.SQL Server Integration Services1https://dudodiprj2sv7.cloudfront.net/vendor-logos/tf/J4/RTX1AO2GSVNS-180x180.JPEGDell Boomi2https://dudodiprj2sv7.cloudfront.net/vendor-logos/QU/Ro/1VKOUZJX2NK3-180x180.PNGOracle GoldenGate3https://dudodiprj2sv7.cloudfront.net/product-logos/n1/v4/CS0IROR5I1QE.PNGCenterprise Data Integrator4https://dudodiprj2sv7.cloudfront.net/vendor-logos/RT/EZ/BE189NVZUPFP-180x180.JPEGOracle Data Integrator5https://dudodiprj2sv7.cloudfront.net/product-logos/Iz/j5/I7MQHBPIP9K1.PNGDataloader.io6https://dudodiprj2sv7.cloudfront.net/vendor-logos/tA/jR/XVG2TM0FRR4B-180x180.PNGTalend Open Studio7https://dudodiprj2sv7.cloudfront.net/vendor-logos/gz/28/APJ21HOT8KJ1-180x180.JPEGPowerCenter8https://dudodiprj2sv7.cloudfront.net/vendor-logos/VF/Bu/OVVS3ZL385NT-180x180.JPEGInformatica Enterprise Data Integration9https://dudodiprj2sv7.cloudfront.net/vendor-logos/VF/Bu/OVVS3ZL385NT-180x180.JPEGTIBCO Data Virtualization10https://dudodiprj2sv7.cloudfront.net/vendor-logos/kf/kH/RMNIMTW93FUN-180x180.PNGIBM InfoSphere Information Server11https://dudodiprj2sv7.cloudfront.net/vendor-logos/yf/sf/DNSXTG99HOK3-180x180.JPEGTalend Data Integration12https://dudodiprj2sv7.cloudfront.net/vendor-logos/gz/28/APJ21HOT8KJ1-180x180.JPEGOracle Warehouse Builder13https://dudodiprj2sv7.cloudfront.net/vendor-logos/VC/02/T4E108T4IWP2-180x180.PNGSAS/Access14https://dudodiprj2sv7.cloudfront.net/vendor-logos/1R/C2/78WM406O343V-180x180.JPEGSAP Replication Server15https://dudodiprj2sv7.cloudfront.net/product-logos/Kx/1h/HW8JN38HWTRB.JPEGNetWeaver Process Integration16https://dudodiprj2sv7.cloudfront.net/vendor-logos/sW/OA/CZD3RG21S16S-180x180.JPEGInformatica Master Data Management17https://dudodiprj2sv7.cloudfront.net/vendor-logos/VF/Bu/OVVS3ZL385NT-180x180.JPEGelastic.io Integration Platform18https://dudodiprj2sv7.cloudfront.net/product-logos/AS/Qr/TM4IW8VX1B9F.PNGVertifyData19https://dudodiprj2sv7.cloudfront.net/product-logos/6x/7K/6U3EE5AH8WH5.JPEGRed Hat JBoss Data Virtualization20https://dudodiprj2sv7.cloudfront.net/vendor-logos/SX/6C/00GKT3TBD9T1-180x180.PNGAnalyza21https://dudodiprj2sv7.cloudfront.net/product-logos/Po/cF/K7QRNT6IJ31H.PNGSAS Data Integration Studio22https://dudodiprj2sv7.cloudfront.net/vendor-logos/1R/C2/78WM406O343V-180x180.JPEGRepreZen API Studio23https://dudodiprj2sv7.cloudfront.net/product-logos/NN/xc/6JM966GH86PF.PNGBusinessObjects Data Integrator24https://dudodiprj2sv7.cloudfront.net/vendor-logos/sW/OA/CZD3RG21S16S-180x180.JPEGTask Factory25https://dudodiprj2sv7.cloudfront.net/vendor-logos/eV/e9/JEWLUDR5XISE-180x180.PNG

Data Integration Tools

Best Data Integration Tools

TrustMaps are two-dimensional charts that compare products based on satisfaction ratings and research frequency by prospective buyers. Products must have 10 or more ratings to appear on this TrustMap, and those above the median line are considered Top Rated.

Data Integration Tools Overview

What are Data Integration Tools?

The need for data integration emerges from complex data center environments where multiple different systems are creating large volumes of data. This data must be understood in aggregate, rather than in isolation. Data integration is nothing more than a technique and technology for providing a unified and consistent view of enterprise-wide data.

Data Integration Tools Features & Capabilities

  • Ability to process data from a wide variety of sources such as mainframes, enterprise applications, spreadsheets, proprietary databases, etc.

  • Ability to process unstructured data from social media, email, web pages, etc.

  • Syntactic and semantic checks to make sure data conforms to business rules and policies

  • Deduplication and removal of incorrectly or improperly formatted data

  • Support for metadata

Types of Data Integration

There are several different approaches to achieving this goal which are quite different to each other and essentially solve slightly different problems: The main technologies for data integration are Extract, Transform Load (ETL), Enterprise Application Integration (EAI), and Enterprise Information Integration (EII), or data virtualization as it is more often called today.


Products listed in this category belong to the ETL data integration approach. Unlike the other listed approaches, ETL is designed for data migration and integration of large volumes of data to provide a basis for decision-making.

What is ETL?

ETL is a process whereby large volumes of required data are extracted from various databases and converted into a common format. The data is then cleaned, and loaded into the specialized reporting database called a data warehouse. It is then available for standard reporting purposes.


The data used in ETL can come from any source including flat files, Excel data, application data like CRM or ERP data, or mainframe application data. Perhaps the most difficult part of the process is the “Transform” component. Here, not only must the data be cleansed and any duplicates removed, but the software also has to resolve data consistency issues. It applies rules to consistently convert data to the appropriate form for the data warehouse or repository.


Once the data has been loaded into a data warehouse it is available for querying by business intelligence front-end processes that can pull consolidated data into reports and dashboards.

Shortcomings of Data Warehouses

One shortcoming of the data warehouse approach is that the data is not always current. Data warehouses pull data from databases periodically in batches, not in real time. If the data in the source database has changed, this might not be reflected in the data in the warehouse. Various strategies can be employed to achieve “real-time ETL”, although some of them place a significant load on the database. This can have performance repercussions.


The simplest thing to do is simply increase the frequency of batch updates to near real-time processing. But there are other solutions including continuously feeding the database using real-time data transport technologies, the use of staging tables, or a real-time data cache.

Pricing Information

Enterprise-level data integration tools can be very expensive with some products costing upwards of $10,000 per user per year. On top of that, you may need to pay for professional services to get up and running. SMB solutions are significantly cheaper than this.

Data Integration Products

Listings (1-25 of 83)

2 Ratings

Vertify is a software that allows marketers and other lines of business to connect their critical tech stack unlocking their customer data. It promises to turn incomplete and messy data into insights and allows for effective actions for business users based on truthful data. Here is the main pai...

1 Ratings

Analyza is a business intelligence solution that is provided by PIT Business. The vendor provides support services in Luxembourg, Belgium, France, and other parts of Europe. Analyza allows users to: Build several indicators and dashboardsBuild ad-hoc analysis without IT knowledgeNavigate throu...

1 Ratings

RepreZen™ API Studio is an enterprise-class API design platform, built from the ground up to meet the demands of large-scale integration programs. The vendor says that while other tools only address individual APIs, RepreZen optimizes at the organizational scale, aligning interfaces and streamlin...

2 Ratings

According to the vendor, Task Factory offers essential, high-performance components and tasks for SQL Server Integration Services (SSIS) that eliminate the need for programming. With over 50 components, Task Factory aims to increase productivity, improve performance and increase ROI. Task Factory...