Data Integration Tools

TrustRadius Top Rated for 2023

Top Rated Products

(1-5 of 6)

1
Astera Centerprise

Centerprise Data Integrator is an integration platform that includes tools for data integration, data transformation, data quality, and data profiling.

2
SAP Data Intelligence

SAP Data Intelligence is presented by the vendor as a single solution to innovate with data. It provides data-driven innovation in the cloud, on premise, and through BYOL deployments. It is described by the vendor as the new evolution of the company's data orchestration and management…

3
TIBCO Integration (including BusinessWorks and Flogo)

TIBCO Integration is used to connect diverse business solutions, data sources, and devices into a single, seamless system.

4
TIBCO Data Virtualization

TIBCO Data Virtualization is an enterprise data virtualization solution that orchestrates access to multiple and varied data sources and delivers the datasets and IT-curated data services foundation for nearly any solution.

5
SQL Server Integration Services

Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.

All Products

(26-50 of 193)

26
Fivetran

Fivetran replicates applications, databases, events and files into a high-performance data warehouse, after a five minute setup. The vendor says their standardized cloud pipelines are fully managed and zero-maintenance. The vendor says Fivetran began with a realization: For modern…

27
Azure Data Factory

Microsoft's Azure Data Factory is a service built for all data integration needs and skill levels. It is designed to allow the user to easily construct ETL and ELT processes code-free within the intuitive visual environment, or write one's own code. Visually integrate data sources…

28
Denodo

Denodo is the eponymous data integration platform from the global company headquartered in Silicon Valley.

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29
IBM InfoSphere Information Server

IBM InfoSphere Information Server is a data integration platform used to understand, cleanse, monitor and transform data. The offerings provide massively parallel processing (MPP) capabilities.

30
Oracle Warehouse Builder

Oracle Warehouse Builder (OWB) is a data-warehousing centered data integration solution, from Oracle. It offers basic ETL functionality for building a simple data warehouse, as well as advanced ETL functionality supporting enterprise data integration projects, along with connectivity…

31
Hevo Data

Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows to save engineering time/week and drive faster reporting, analytics, and decision making. The…

32
Integrate.io

Integrate.io’s platform allows organizations to integrate, process, and prepare data for analytics on the cloud. By providing a coding and jargon-free environment, Integrate.io’s scalable platform ensures businesses can benefit from the opportunities offered by big data without having…

33
Vertify

VertifyData is a cloud-based integration platform with core integration capacities, including a drag-and-drop interface and real-time synchronization. It also offers over 80 prebuilt connectors and templates, plus customizable integrations for scaling businesses.

34
Panoply

Panoply, from Sqream since the late 2021 acquisition, is an ETL-less, smart end-to-end data management system built for the cloud. Panoply specializes as a unified ELT and Data Warehouse platform with integrated visualization capabilities and storage optimization algorithms.

35
NetWeaver Process Integration

SAP NetWeaver Process Integration is an application integration solution.

36
Stitch from Talend

Stitch, or Stitch Data, now from Talend (acquired in late 2018) is an ETL tool for developers; the company was spun off from RJMetrics after that company's acquisition by Magento. Talend describes Stitch as a cloud-first, open source platform for rapidly moving data. It is available…

37
Phocas Business Intelligence

Phocas helps users discover data and provides results in real time. It is designed for non-technical users and delivers a simple yet powerful analytical capability that quickly turns data into a chart, graph or map. It brings up data on local, regional or global sales, inventory,…

38
Xactly Connect

Xactly Connect is a purpose-built platform designed to automate and integrate the secure flow of data from business applications across Xactly solutions. Connect enables organizations to apply custom business logic to data flows and use standardized automation processes to combine…

39
SAP Replication Server

SAP's Sybase Replication Server is database development and management software.

40
elastic.io Integration Platform

The elastic.io Integration Platform is a hybrid integration system that users can deploy on-premise or in the cloud. It is highly scalable, with over 100 prebuilt application connectors for out-of-the-box use and a flexible data structure.

41
Red Hat JBoss Data Virtualization

JBoss Data Virtualization is a data integration solution that sits in front of multiple data sources and allows them to be treated as a single source, to deliver the right data, in the required form, at the right time to any application and/or user. Also presented as a lean, virtual…

42
Devart Excel Add-ins

Devart Excel Add-ins allow you to use Excel capabilities to import, process, and analyze data from cloud applications and relational databases. The Excel Add-ins also allow users to make data changes and then save those changes back to the data source they were originally imported…

43
HCL DataConnect

HCL DataConnect (formerly Actian DataConnect) is a hybrid integration solution that enables users to integrate anything, anywhere, anytime. It can be deployed in on-premise, cloud, and/or hybrid environments and offers quick onboarding. With its emphasis data quality, data reuse,…

44
Progress DataDirect

Progress Software offers DataDirect, a data connectivity solution which helps enterprises integrate data across relational, big data and cloud databases.

45
Altova MapForce Server

Mapforce Server, from Altova in Beverly, is a data integration platform which the vendor states supports all major databases and data formats without extra-cost "connectors," and automates integration of any combination of XML, JSON, database, EDI, XBRL, flat file, Excel, and/or…

46
Adverity

Adverity is a fully-integrated data platform for automating the connectivity, transformation, governance & utilization of data at scale.

47
AWS Data Exchange

AWS Data Exchange is an integration for data service, from which subscribers can easily browse the AWS Data Exchange catalog to find relevant and up-to-date commercial data products covering a wide range of industries, including financial services, healthcare, life sciences, geospatial,…

48
Oracle Data Integration Platform Cloud (DIPC)

Oracle Data Integration Platform Cloud (DIPC) is a unified platform for real-time data replication, data transformation, data quality, and data governance. DIPC helps migrate and extract value from data by bringing together capabilities of a complete Data Integration, Data Quality…

49
Striim

Striim is an enterprise-grade platform that offers continuous real-time data ingestion, high-speed in-flight stream processing, and sub-second delivery of data to cloud and on-premises endpoints.

50
Oracle Data Service Integrator

Oracle Data Service Integrator provides companies the ability to develop and manage federated data services for accessing single views of disparate information. Oracle Data Service Integrator is standards based, declarative, and enables re-usability of data services.

Data Integration Tools TrustMap

TrustMaps are two-dimensional charts that compare products based on trScore and research frequency by prospective buyers. Products must have 10 or more ratings to appear on this TrustMap.

Learn More About Data Integration Tools

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.

ETL Tools Comparison

When comparing ETL tools and data integration products, consider the following criteria:

Deployment: Many cloud-based and SaaS products are available. Cloud-based deployment can be simpler and leaner, especially for teams with limited IT infra structure. However, you’ll sacrifice some level of control and customization. An on-premise solution gives you more control, but at the price of more infrastructure and support staff. If you handle sensitive data, you’ll also need to make sure that your cloud provider has appropriate compliance and encryption.

Open-Source vs Proprietary: Open-source data integration tools are reliable, time-tested alternatives to proprietary software. They’re often cheaper, too. However, open-source tools aren’t great for new users or engineers that need a polished, UX-focused workflow. They’re best for experienced users that are prepared to fully engage with the software’s customization and integration capabilities.

Existing Ecosystem: ETL and data integration tools are designed to be flexible, but it’s almost universally simpler to pick a tool that’s designed with your existing tech stack in mind. Start by evaluating these products, and expand your search only if they don’t meet core needs.

Use Case: If you’re just starting out, don’t pick a comprehensive platform. Start small, and grow later. If you know you’re planning to scale up, look for ETL tools that fit easily into larger pipelines.

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.

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Frequently Asked Questions

What businesses benefit most from data integration tools?

The more complex a business's data infrastructure is, the more they benefit from a data integration tool. More data sources, complex metadata, and large volumes of data are all challenges that data integration tools can help with.

What are the best Data Integration Tools?

The top rated data integration tools are as follows:

  1. Matillion
  2. Astera Centerprise
  3. Oracle GoldenGate
  4. Task Factory


What is ETL best for compared to other data integration tools?

ETL data integration is best for mass data migration, and for integrating large volumes of data at one time. ETL can also access data from many sources and formats, so it is also useful for businesses with many data types and sources.