Data Integration Tools

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Showing 1 - 20 of 138 products
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Showing 1 - 20 of 138 products

Integration Hub

Integration Hub is an on-premise and cloud-based data integration platform that provides businesses with tools to connect SAP with various third-party applications. Professionals can use the dashboard to access pre-configured inte...Read more

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ImportOmatic

ImportOMatic is a data integration solution for Blackbaud's Raiser's Edge and Raiser's Edge NXT fundraising solutions. It is deployed as a plug-in for the Raiser’s Edge platform. ImportOMatic allows users to filter and transf...Read more

Celigo Integrator.io

Celigo Integrator.io is a cloud-based app integration platform. It helps businesses automate business processes from a unified platform. Its products include integrator.io, SmartConnectors and CloudExtend. Celigo's integratio...Read more

4.74 (43 reviews)

SAS Visual Analytics

SAS Business Intelligence is a cloud-based enterprise analysis tool that helps users monitor metrics and manage interactive reports. Designed for large businesses, the platform’s features include customizable dashboard, marketing ...Read more

4.31 (35 reviews)

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Knowi

Knowi is a business intelligence platform that includes dashboards and scorecards, data warehousing, data analytics and reports and online analytical processing. The system is suitable for company sizes ranging from small business...Read more

5.00 (1 reviews)

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Holistics

Holistics is a cloud based business intelligence (BI) application with integrated data reporting and preparation tools. The application works in a SQL-based environment and allows businesses to connect multiple SQL databases, run ...Read more

4.56 (64 reviews)

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APPSeCONNECT

APPSeCONNECT is an enterprise integration platform that allows businesses to connect their on-premise and cloud applications into a single platform. It offers a range of connectors for e-commerce, cloud storage, customer relations...Read more

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Adverity

Adverity is a business intelligence (BI) solution that helps brands and agencies to connect and manage their data sources in a single platform. Adverity comprises three modules: Adverity Datatap, Adverity Insights and Adverity Pre...Read more

4.50 (22 reviews)

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Nexla

Nexla is a hybrid business intelligence (BI) solution that helps analysts, business users and data engineers across various sectors to integrate, automate and monitor their incoming and outgoing data flows. Features include high v...Read more

4.88 (8 reviews)

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Logical Data Warehouse

Data Virtuality is a data integration solution that centralizes data from multiple sources. It can be hosted either in the cloud or on-premise. Key features include pre-built templates for retrieving data, customizable pipelines, ...Read more

5.00 (4 reviews)

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Software pricing tips

Read our Data Integration Tools Buyers Guide

Subscription models

  • Per employee/per month: This model allows you to pay a monthly fee for each of your employees.
  • Per user/per month: Users pay a monthly fee for users—normally administrative users—rather than all employees.

Perpetual license

  • This involves paying an upfront sum for the license to own the software and use it indefinitely.
  • This is the more traditional model and is most common with on-premise applications and with larger businesses.

Rated best value for money

Rivery

Rivery is a cloud-based solution that provides small to large enterprises with business intelligence tools to manage and automate data pipelines. It comes with a centralized dashboard, which enables users to gain insights into bus...Read more

5.00 (11 reviews)

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Fivetran

Fivetran is a cloud-based business intelligence solution which caters to needs of analysts, data engineers and business intelligence teams. The solution is HIPAA compliant and provides connectors to pull data from multiple sources...Read more

4.64 (14 reviews)

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Xplenty

Xplenty is a cloud-based data integration platform that helps read, process and prepare information from various databases and integrate it with a wide variety of business applications. Primarily catering to the retail, hospitalit...Read more

4.56 (16 reviews)

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Workato

Workato is an integration platform as a service (iPaaS)-based business intelligence platform designed for organizations of any size. It enables IT teams and businesses to carry out enterprise-level integrations and process automat...Read more

4.68 (31 reviews)

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SnapLogic

SnapLogic provides self-service applications and data integration platform. It improves business activities, drives better business result and accelerates decision-making by connecting applications and data across the enterprise. ...Read more

4.20 (5 reviews)

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PowerCenter

PowerCenter is a cloud-based enterprise data integration platform that helps businesses with data integration life cycle. The platform enables users to manage data integration agility, enterprise scalability, operational confidenc...Read more

4.54 (39 reviews)

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Skyvia

Skyvia is a cloud-based data integration, backup and management platform for businesses of all sizes. Key features include direct data integration between apps, scheduling settings for backup automation, a wizard to simplify local...Read more

4.76 (59 reviews)

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Operations Hub

Operations Hub allows you to easily sync customer data and automate business processes. It supercharges your HubSpot CRM by synchronizing contacts, leads, and company data with other applications. Operations Hub works two ways a...Read more

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OneSaas

OneSaas is a cloud-based integration platform for small to large sized enterprises. Its key features include metadata management, workflow automation and information sharing. Firms can use OneSaas to eliminate manual transfer...Read more

4.38 (53 reviews)

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Boomi

Boomi is a unified cloud-based integration solution designed to centralize data, applications, and processes into one unified ecosystem, effectively breaking down data silos. Using Boomi's integration capabilities, businesses are ...Read more

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Popular Data Integration Tools Comparisons

Buyers Guide

Last Updated: March 09, 2022

The data universe is expanding. It's no secret that the data businesses create, capture and analyze has been growing in volume and diversity, with no signs of slowing down.

The ubiquity of data in today's business environment dictates that even small businesses should be thinking of how they can use data for a competitive advantage. Increasingly, tools are becoming available to help with the collection and analysis of this data.

In this guide, we'll cover:

What Are Data Integration Tools?

Data integration is simply the process by which data is collected from multiple sources, normalized and prepared for analysis. Data integration software are tools that collect and transform the data for common storage, typically in a data warehouse, from which it can be extracted for analysis, as depicted in the diagram below:

Data integration and analysis process (diagram)

Traditionally, this is done through the extract, transform, load (ETL) process by a database administrator (DBA), who sets up the criteria the data should adhere to prior to storage. The criteria the DBA sets up, or defines for the data, are based on the most critical insights a business seeks to derive from the data.

The ETL process is an involved one in which data is collected, or "extracted" from the original sources, which often exist in widely varying formats. These include not only .CSV and XML files, but also online sources such as social media.

Once the data is extracted from the original source, it is "transformed" into a format that fits the parameters the DBA has defined for the data warehouse, or wherever the data will reside.

Conversely, the ELT (extract, load, transform) process manages the process in a different order—one in which the data is loaded into the database, where it's transformed (as opposed to having predetermined rules set up within the database, such as a data cube).

Data integration environment in TIBCO Jaspersoft (screenshot)

Data integration environment in TIBCO Jaspersoft

Increasingly for large enterprises, data lakes are becoming a popular data storage strategy for those dealing with big data.

The data is then integrated with other transformed data for like comparisons and analysis.

Common Features of Data Integration Tools

As a baseline, data integration tools should offer the following:

ETL (extract, transform, load) Collects data from outside sources, transforms it and then loads it into the target system (a database or warehouse). Because primary data is often organized using different schemas or formats, analysts can use ETL tools to normalize it for useful analysis.
ELT (extract, load, transform) Collects data from outside sources, loads it into the database or warehouse and then transforms it to conform to requests for analysis. This feature allows the data to be manipulated/integrated within the warehouse itself, rather than prior to migration.
Data capture/connection Allows software to "connect" to multiple—and sometimes disparate—data sources (including relational databases, XML, .CSV, data lakes, Hadoop, SQL etc.) for the purposes of data extraction.
Data transformation Normalizes data across disparate sources by standardizing data, converting values and correcting numeric values to conform to minimum and maximum values.
Data quality management Helps organizations maintain clean, standardized and error-free data. Standardization is especially important for BI implementations that integrate data from diverse sources, as this ensures that later analyses are correct.

Some data integration software offers additional features, including more self service options (such as drag-and-drop development for citizen data analysts).

What Type of Buyer Are You?

Typically, data integration resides in the realm of the DBA, who sits in the IT department.

Small businesses. These are businesses with little to no IT department. While traditionally, they have less need to manage vast amounts of data in a data warehouse, this trend is shifting, given the explosion of data in recent years. More and more tools designed to help "citizen" data administrators extract, integrate and manage data without the need for extensive programming knowledge are becoming available today.

Midsize businesses. These buyers are still likely to benefit from data integration tools that offer some level of self-service functionality, so that a robust IT department isn't required to architect complex data storage solutions. Real-time data demands and ad hoc granular data analysis are becoming the norm.

Enterprise businesses. These buyers will have a robust IT department capable of handling the traditional ETL process, which involves time and effort. Ironically, these larger enterprises may have more of a demand for real-time delivery of multistructured data as opposed to the “batch" delivery methods ETL is associated with. Increasingly, tools are becoming more and more sophisticated, with broader functionality sets from delivery to governance, to meet these demands.

Benefits of Data Integration Tools

Data Integration software provides two clear benefits to users:

  • Single source of truth. The principal benefit of data integration software is arriving at a single source of truth for businesses, especially those that deal in a variety of data sets from multiple, and often incongruous, sources. The "truth," or insight sought after, is typically a key performance indicator (KPI) defined by the business. Data integration aligns the data to best reveal this truth.
  •   
  • Apples to apples. The additional benefit is that organizations both large and small can not only define what they need from the data to make the most important business decisions, but confidence in those insights. Integration of data into a consistent, predetermined view ensures to some degree that like-comparisons are being made. In short, integration allows for the best "apples-to-apples" comparison disparate data sources can provide.

Market Trends to Understand

Data integration as a field is undergoing some change. According to Gartner, data integration and quality tools as a market grew 2.5 percent in 2016 to $4.4 billion, though more traditional data integration tools, which serve merely as "connectors" for batch movement of data, had slower growth (report available to Gartner clients).

This is due in large part to the increasing "mass proliferation" of data according to Gartner, which has put greater demand on data integration tools to expand their offerings to serve various data delivery speeds, deployments and types.

Essentially, slow, plodding, structured data delivery is on the outs. More and more, enterprises are seeing the need for data integration flexibility, including virtual and real-time data delivery, as well as the ability to deal with hybrid data sources (cloud and on-premise). Also, businesses are looking more and more for data integration tools that can handle "multistructured" data, or data that comes in a diverse array of structures.