Data Integration Tools

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Showing 1 - 20 of 146 products
Showing 1 - 20 of 146 products

Domo

Domo transforms business by putting data to work for everyone. Domo’s low-code data app platform goes beyond traditional business intelligence and analytics to enable anyone to create data apps to power any action in their busines...Read more

4.24 (198 reviews)

7 recommendations

Mitto

Analyzing data across your business solutions shouldn't be so difficult! With Mitto by Zuar, you can automate your ELT/ETL processes and have data flowing from hundreds of potential sources into a single destination. Transport, wa...Read more

5.00 (1 reviews)

2 recommendations

Hevo

Hevo 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 that result in a saving of ~10 hours of engineeri...Read more

4.67 (42 reviews)

1 recommendations

Analogyx BI

A Web-Based, Self-Service, Real-time Data & Analytics Platform, with a built-in data warehouse that has the ability to consolidate & centralize data from any environment (SaaS or On-Prem), including any type of databases, flat fil...Read more

4.50 (8 reviews)

1 recommendations

Zapier

Founded in 2011, Zapier has helped over 1.8 million individuals and businesses with their automation needs. In just a few minutes, you can set up automated workflows that connect over 4,000 of the most popular web apps—no code req...Read more

Samepage

Samepage is a cloud-based collaboration software solution that helps teams eliminate project bottlenecks and communicate seamlessly with team members. Samepage provides a suite of project management tools, communication featu...Read more

UiPath

UiPath is an on-premise data entry and robotic process automation solution designed for businesses of all sizes. The solution allows users to create, deploy and administer automation in business processes. UiPath features UiP...Read more

Process Street

Process Street is a modern process management platform for teams. We help teams share their core processes, then transform them into powerful no-code workflows. Start with employee onboarding to set up new hires for success, then...Read more

Anypoint Platform

Anypoint Platform is an application development solution for organizations that are looking to integrate applications, data sources and devices using application programming interfaces (API). The solution is suitable for industrie...Read more

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

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

DiCentral

DiCentral is a cloud-based solution designed to help businesses manage the entire supply chain lifecycle through electronic data interchange, accounting, warehouse management, dropshipping, and more. It is suitable for businesses ...Read more

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

Make

Make is a visual platform that helps businesses of all sizes design, build, and automate anything, from tasks and workflows to apps and systems. Use the playful drag-and-drop interface to connect apps in a few clicks, and build l...Read more

IFTTT

IFTTT is a data integration software, which helps fintech, home automation, and energy companies connect applications and devices with third-party integrations. The software allows financial institutions to connect apps or website...Read more

Pulseway

Pulseway is an integrated IT assets and network monitoring solution designed for IT administrators to remotely monitor and control their business IT resources. The solution supports multi-deployment architecture, allowing the user...Read more

Tuvis

Tuvis is a Salesforce AppExchange Partner. Is a solution that provides the integration between WhatsApp & Salesforce for direct Agent-to-Customer chat interactions. It enables Sales, Customer Service, and Support teams to commun...Read more

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

TeamDynamix

TeamDynamix is a no-code, cloud-based IT Service Management (ITSM) and Project Portfolio Management (PPM) platform with enterprise integration & automation. Whether you are just starting out with ITIL or a best-in-class ITIL sho...Read more

SyncSpider

SyncSpider is an application-to-application integration tool designed to help eCommerce businesses grow revenue using multichannel sales automation. It helps manage stock in a centralized place, connect with eCommerce tools to syn...Read more

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

Buyers Guide

Last Updated: July 04, 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.