Updated March 3, 2025 at 2:26 PM
Best Integration Software of 2025
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Organizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it’s providing teams of data scientists with advanced machine learning capabilities or delivering mobile applications that give decision makers...Read more about SAS Viya
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Clockspring is a state-of-the-art Enterprise Automation Platform that provides a fast and flexible no-code integration capability to connect systems together to share and analyze data in hours instead of weeks. Clockspring provides a visual user interface...Read more about Clockspring
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ePayPolicy is a payment processing solution designed to help businesses in the insurance sector collect credit card and ACH payments from policyholders. The centralized dashboard enables administrators to track transactions, access electronic receipts, con...Read more about ePayPolicy
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 database connections, and...Read more about Skyvia
K3 is a low code integration and streaming ETL (extract, transform, load) platform for businesses within industries including trading, healthcare, hospitality, retail, software and manufacturing. The low code platform offers tools for managing integration ...Read more about K3 by BroadPeak
APPSeCONNECT is an intelligent integration platform (iPaaS) that connects applications and automates business processes. The platform has an in-built low-code visual integration designer "ProcessFlow" that helps users build anything they can imagine - fr...Read more about APPSeCONNECT
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 business operations, review o...Read more about Rivery
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 engineering time/week and 10x faste...Read more about Hevo
Built for healthcare data environments, Iguana is a data integration platform that enables healthcare organizations to improve all areas of data access including clinical, financial, and operational workflows. With an intuitive integration engine, teams ca...Read more about Iguana
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 volume processing, no-code ...Read more about Nexla
ActiveBatch is a cloud-based and on-premise workflow management solution designed on helping businesses implement low-code IT workflow automation. The time it takes to manage workflow and business processes is cut in half with event automation and job sche...Read more about ActiveBatch
Funnel is the leading marketing data hub designed to help marketing teams own their performance. With Funnel, marketers connect data from any marketing platform; store, organize, and share it with any visualization tool or data warehouse – all without wr...Read more about Funnel
DigitalRoute is a data management platform that helps businesses integrate the platform with any system within a company's IT infrastructure to gather, process, enhance, and distribute substantial volumes of usage data to billing and other quote-to-cash ap...Read more about DigitalRoute
Founded in 2011, Zapier has helped over 1.8 million individuals and businesses with their automation needs. Zapier moves info between your web apps automatically, so you can focus on your most important work. Build custom workflows fast for more than 6,0...Read more about Zapier
9Spokes is a data platform that aggregates meaningful data inputs across your business. Think of 9Spokes as a virtual advisor, here to motivate and guide businesses so they not only survive, but grow and thrive! We deliver meaningful, personalized, and sh...Read more about 9Spokes
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, incremental data extractio...Read more about Logical Data Warehouse
Utilizing the data that's spread across your organization shouldn't be so difficult! With Zuar Runner you can automate the flow of data from hundreds of potential sources into a single destination. Collect, transform, model, warehouse, report, monitor and ...Read more about Zuar Runner
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. With help of artificial in...Read more about SnapLogic
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 automation using artificial intel...Read more about Workato
Datorios is a streaming data processing hub, enabling seamless building, deployment, and monitoring of contextual data pipelines in minutes. Our engineering-centric solution features a serverless-like architecture and zero iteration development, offering u...Read more about Datorios
AtScale is a data warehouse virtualization solution that creates a live connection between people and data without moving it, regardless of where it is stored or how it is formatted - on-premise or in the cloud - turning your data warehouse into a powerful...Read more about AtScale
MSIGHTS Platform is a data management software that helps marketers centralize marketing and data operations, providing an objective view of overall marketing performance. The MSIGHTS Platform applications drive campaign management and data governance whil...Read more about MSIGHTS Platform
Tranzactor is an integrations tool for the logistics and trucking industry, which allows businesses to integrate data from a range of third party applications including TMW Suite, TruckMate, McLeod, MercuryGate, and more. The Tranzactor integration suite o...Read more about Tranzactor
InterWeave provides SmartSolutions®, which allows customers to easily connect to any combination of cloud and on-premises applications without software; InterWeave is Software-as-a-Service, which is software delivery and licensing in which software is acce...Read more about The SmartIntegration Platform for CRM
Unify Your Data Stack: Experience the first no-code data pipeline platform and power enlightened decision making. Integrate.io is the only complete set of data solutions & connectors for easy building and managing of clean, secure data pipelines. Increas...Read more about Integrate.io
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Your Guide to Top Integration Software, August 2024
Software Advice uses reviews from real software users to highlight the top-rated Integration products in North America.
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Buyers Guide
This detailed guide will help you find and buy the right data integration tools software for you and your business.
Last Updated on March 03, 2025The 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:
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
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.