Choosing the right data integration tool can be tricky, with many options available today. If you’re not clear on what you need, you might end up making the wrong choice.
That’s why it’s crucial to have essential details and information, such as what factors to consider and how to choose the best data integration tools, before making a decision.
In this article, I have compiled a list of the top tools to help you choose the correct data integration tool that meets all your requirements.
You’ll also learn about the benefits of these tools and the key factors to consider when selecting these tools.
Let’s dive in!
Overview of Data Integration Tools in One Place
| Tools | Type | Transparent Pricing | No-Code Interface | Purchase Process | G2 Rating |
| Hevo Data | Commercial | Yes | Yes | Self-Service | 4.8/5 |
| Zigiwave | Commercial | Yes | Yes | Contact Sales | 4.8/5 |
| Jitterbit | Commercial | No | Yes | Contact Sales | 4.7/5 |
| Adverity | Commercial | Yes | Yes | Contact Sales | 4.7/5 |
| Celigo | Commercial | Yes | Yes | Self-Service | 4.6/5 |
| Microsoft Azure Data Factory | Commercial | Yes | Yes | Self-Sevice or Contact Sales | 4.6/5 |
| MuleSoft | Commercial | No | No | Contact Sales | 4.5/5 |
| Informatica | Commercial | No | Yes | Contact Sales | 4.4/5 |
| Dell Boomi | Commercial | Yes | Yes | Self-Service | 4.4/5 |
| Pentaho | Open-Source | No | Yes | Contact Sales | 4.3/5 |
| AWS Glue | Commercial | No | Yes | Contact Sales | 4.2/5 |
| SnapLogic | Commercial | Yes | Yes | Self-Service | 4.2/5 |
| Talend | Open-Source | No | Yes | Contact Sales | 4.0/5 |
| IBM Infosphere Data Stage | Commercial | No | Yes | Contact Sales | 4.0/5 |
| Oracle | Commercial | Yes | Yes | Self-Service | 4.0/5 |
| IRI Voracity | Commercial | No | Yes | Contact Sales | None |
Feeling overwhelmed by the ever-growing list of data integration tools? Look no further! While other options may seem complex or limited, Hevo simplifies creating data pipelines by integrating with numerous sources and destinations.
Hevo provides effortless data integration with these features:
Transparent and cost-effective pricing tailored to meet varied data needs.
Get Started with Hevo for Free
Understanding Data Integration
Data integration is merging data from diverse sources to create a cohesive, comprehensive dataset that gives you a unified view. By consolidating data across multiple sources, your organization can discover insights and patterns that might remain hidden while examining data from individual sources alone. Transferring data from platforms like Salesforce to Redshift requires a strong data integration tool to manage large volumes and complex data transformations seamlessly.
What are Data Integration Tools?
Data integration tools are software solutions that combine data from various sources into a unified view, making it easier to analyze and use. They work by connecting to different databases, applications, and systems, gathering data, and transforming it into a compatible format. These tools streamline data movement, ensure data consistency, and eliminate duplicates. They are commonly used for reporting, analytics, and creating a single source of truth, enabling organizations to make more informed decisions by having all their data accessible and organized in one place.
Take a look at how data integration works in detail to get a better understanding.
Features of Data Integration Tools
- Data Connectivity: Connects to various data sources like databases, cloud apps, and APIs.
- Data Transformation: Cleans, formats, and standardizes data for compatibility.
- Real-time Sync: Updates data in real-time to keep information current.
- Data Quality Checks: Detects and resolves data inconsistencies and duplicates.
- Scalability: Handles large data volumes and supports growing data needs.
Also, check out data integration techniques to dive deeper into how data integration functions.
Types of Data Integration Tools
- ETL Tools: Extract, transform, and load data from one source to another.
- Data Replication Tools: Copy data from one system to another for backup or analytics.
- Data Virtualization Tools: Access and query data without moving it, creating a “virtual” database.
- iPaaS (Integration Platform as a Service): Cloud-based platforms that connect applications and data across environments.
- Streaming Data Tools: Process and integrate data in real-time as it’s generated.
Discover the differences between Data Integration and ETL to get a better understanding of the concepts
List of the Best Data Integration Tools in 2025
With such a large number of products on the market, finding the right Data Integration Tools for a company’s needs can be tough. Here’s an overview of seven of the most popular and tried-out Database Replication solutions. These are the top Data Integration Tools used widely in the market today.
1. Hevo Data
With Hevo, you get a growing library of over 150 plug-and-play connectors, including all your SaaS applications, databases, and file systems. You can also choose from destinations like Snowflake, BigQuery, Redshift, Databricks, and Firebolt. Data integrations are done effortlessly in near real-time with an intuitive, no-code interface. It is scalable and cost-effectively automates a data pipeline, ensuring flexibility to meet your needs.
Key features of Hevo Data
- Hevo ensures zero data loss, always keeping your data intact.
- It lets you monitor your workflow and stay in control with enhanced visibility and reliability to identify and address issues before they escalate.
- Hevo provides you with 24/7 Customer Support to ensure you enjoy round-the-clock support when needed.
With Hevo, you have a reliable tool that lets you worry less about the data integration and helps you focus more on your business. Check Hevo’s in-depth documentation to learn more.
Pricing at Hevo Data
Hevo offers you with three simple and transparent pricing models, starting with the free plan which lets you ingest up to 1 million records.
The Best-Suited Use Case for Hevo Data
If you are looking for advanced capabilities in automated data mapping and efficient change data capture, Hevo is the best choice.
Hevo has great coverage, they keep their integrations fresh, and the tool is super reliable and accessible. The team was very responsive as well, always ready to answer questions and fix issues. It’s been a great experience!
– Prudhvi Vasa, Head of Data, Postman
2. Zigiwave
Zigiwave is a Data Integration Tool for ITSM, Monitoring, DevOps, Cloud, and CRM systems. It can automate your workflow in a matter of few clicks as it offers a No-code interface for easy-to-go integrations. With its deep integration features, you can map entities at any level. Zigiwave smart data loss prevention protects data during system downtime.
Key Features of Zigiwave
- Zigiwave acts as an intermediate between your two platforms and doesn’t store any data, which makes it a secure cloud Data Integration platform.
- Zigiwave synchronizes your data in real-time, making it a zero-lag data integration tool for enterprises.
- It is highly flexible and customizable and you can filter and map data according to your needs.
Pricing at Zigiwave
You can get a 30-day free trial at Zigiwave and can book a meeting with them to discuss the pricing.
The Best-Suited Use Case for Zigiwave
It is best suited if your company has fewer resources and wants to automate operations with cost-effective solutions.
3. Jitterbit
Jitterbit is a harmony integration tool that enables your enterprise to establish API connections between apps and services. It supports cloud-based, on-premise, and SaaS applications. Along with Data Integration tools, you are offered AI features that include speech recognition, real-time language translation, and a recommendation system. It is called the Swiss Army Knife of Big Data Integration Platforms.
Key Features of Jitterbit
- Jitterbit offers a powerful Workflow Designer that allows you to create new integration between two apps with its pre-built data integration tool templates.
- It comes with an Automapper that can help you map similar fields and over 300 formulas to make the transformation task easier.
- Jitterbit provides a virtual environment where you can test integrations without disrupting existing ones.
Pricing at Jitterbit
Jitterbit offers you with three pricing models: Standard, Professional and Enterprise, all need an yearly subscription, and the quote can be discussed with them.
The Best-Suited Use Case for Jitterbit
Jitterbit is an Enterprise Integration Platform as a Service (EiPaaS) that you can use to solve complex integrations quickly.
4. Adverity
Adverity is an integrated data platform designed for marketing teams to streamline their data operations. It automates data collection, management, and sharing, ensuring your data is always clean and ready for analysis. Effortlessly connect to any marketing data source, API, database, or file-based storage by using the world’s largest library of prebuilt marketing data connectors, with over 600 connectors.
Key Features of Adverity
- Adverity excels in data transformation and quality monitoring, automating the process of cleaning and unifying data from various sources.
- With AI-powered features, it intelligently integrates and manages data, offering robust data governance features that help ensure high-quality data for high-quality insights.
- Adverity also allows teams to easily manage where data is shared and who it is shared with, all from a single platform.
Pricing at Adverity
Adverity offers custom pricing based on your business needs, providing flexibility as you scale.
The Best-Suited Use Case for Adverity
Adverity is best suited for marketing teams looking to build strong data foundations and scale their data operations efficiently. It’s ideal for marketing teams focused on automating data workflows while maintaining high-quality data across platforms.
5. Celigo
Celigo is an iPaaS Data Integration tool with a click-and-go feature. It automates most of your workflow for data extraction and transformation to destinations. It offers many pre-built connectors, including most Cloud platforms used in the industry daily. Its user-friendly interface enables technical and non-technical users to perform data integration jobs within minutes.
Key Features of Celigo
- Celigo offers a low-code GUI-based Flow Builder that allows you to build custom integrations from scratch.
- It provides an Autopilot feature with inegrator.io that allows you to automate most workflow with the help of pattern recognition AI.
- Using Celigo, developers like you can create and share your stacks and generate tokens for direct API calls for complex flow logic to build integrations.
Pricing at Celigo
Celigo offers four pricing plans: Free trail plan with 2 endpoint apps, Professional with 5 endpoint apps, Premium with 10 endpoint apps and Enterprise with 20 endpoint apps. Their prices can be known by contacting them.
The Best-Suited Use Case for Celigo
It is perfect if you want to automate most of your data integration workflow and have no coding knowledge.
Integrate your Data from MongoDB to Snowflake
Integrate your Data from Google Analytics to BigQuery
Integrate your Data from Salesforce to Databricks
6. Microsoft Azure Data Factory
Azure Data Factory is a cloud-based ETL and data integration service that allows you to create powerful workflows for moving and transforming data at scale. With Azure Data Factory, you can easily build and schedule data-driven workflows, known as pipelines, to gather data from various sources.
Key Features of the Microsoft Azure Data Factory
- Data Factory offers a versatile integration and transformation platform that seamlessly supports and speeds up your digital transformation project using intuitive, code-free data flows.
- Using built-in connectors, you can ingest all your data from diverse and multiple sources.
- SQL Server Integration Services (SSIS) can be easily rehosted to build code-free ETL and ELT pipelines with built-in Git, supporting continuous integration and continuous delivery (CI/CD).
Pricing at Microsoft Azure Data Factory
Azure provides a consumption based pricing model, you can estimate your specific cost by using Azure Pricing Calculator available on the its website.
The Best-Suited Use Case for the Microsoft Azure Data Factory
Azure Data Factory is designed to automate and coordinate your data workflows across different sources and destinations.
7. MuleSoft Anypoint Platform
MuleSoft Anypoint Platform is a unified iPaaS Data Integration tool that helps your company establish a connection between two cloud-based apps or a cloud or on-premise system for seamless data synchronization. It stores the data stream from data sources locally and on the Cloud. To access and transform your data, you can use the MuleSoft expression language.
Key Features of the MuleSoft Anypoint Platform
- It offers mobile support that allows you to manage your workflow and monitor tasks from backend systems, legacy systems, and SaaS applications.
- MuleSoft can integrate with many enterprise solutions and IoT devices such as sensors, medical devices, etc.
- It allows you to perform complex integrations with pre-built templates and out-of-box connectors to accelerate the entire data transfer process.
Pricing at MuleSoft Anypoint Platform
Anypoint Integration Starter is the starting plan which lets you manage, design and deploy APIs and migrations and you can get the quote at request.
The Best-Suited Use Case for the MuleSoft Anypoint Platform
When your company needs to connect to many information sources, in public and private clouds and wants to access outdated system data, this integrated data platform is the best solution.
8. Informatica PowerCenter
Informatica is a software development company that specializes in Data Integration. It provides ETL, data masking, data quality, data replication, data virtualization, master data management, and other services. You can connect it to and fetch data from a variety of heterogeneous sources and perform data processing.
Key Features of Informatica PowerCenter
- You can manage and monitor your data pipelines with ease & quickly identify and address any issues that might arise.
- You can ensure high data quality and accuracy using data cleansing, profiling, and standardization.
- It runs alongside an extensive catalog of related products for big data integration, cloud application integration, master data management, data cleansing, and other data management functions.
Pricing at Informatica PowerCenter
Informatica offers flexible, consumption-based pricing model enabling you to pay for what you need. For further information, you can contact their sales team.
The Best-Suited Use Case for Informatica PowerCenter
Powercenter is a good choice if you have to deal with many legacy data sources that are primarily on-premise.
9. Dell Boomi
Dell provides a cloud-based integration tool called Dell Boomi, this tool empowers your business to effortlessly integrate between applications, partners and customers through an intuitive visual designer and a wide array of pre-configured components. Boomi simplifies and supports ongoing integration and development task between multiple endpoints, irrespective of your organization’s size.
Key Features of Dell Boomi
- Whether you’re an SMB or a large company, you can use this tool to support several application integrations as a service.
- With Dell Boomi, you can access a variety of integration and data management capabilities, including private-cloud, on-premise, and public-cloud endpoint connectors and robust ETL support.
- The tool allows your business to manage Data Integration in a central place via a unified reporting portal.
Pricing at Dell Boomi
Whether you’re an SMB or an Enterprise, Boomi offers you with easily understandable, flexible, and transparent pricing starting with basic features and ranging to advanced requirements.
The Best-Suited Use Case for Dell Boomi
Dell Boomi is a wise choice for managing and moving your data through hybrid IT architectures.
10. Pentaho
Pentaho Data Integration (PDI) provides you with ETL capabilities for obtaining, cleaning, and storing data in a uniform and consistent format. This tool is extremely popular and has established itself as the most widely used and desired Data Integration component.
Key Features of Pentaho
- Pentaho Data Integration (PDI) is known for its simple learning curve and simplicity of usage.
- You can use Pentaho for multiple use cases that it supports outside of ETL in a Data Warehouse, such as database replication, database to flat files, and more.
- Pentaho allows you to create ETL jobs on a graphical interface without writing code.
Pricing at Pentaho
Pentaho has a free, open-source version and a subscription-based enterprise model. You can contact the sales team to learn the details about the subscription-based model.
The Best-Suited Use Case for Pentaho
Since PDI is open-source, it’s a great choice if you’re cost-sensitive. Pentaho, as a batch data integration tool, doesn’t support real-time data streaming.
11. AWS Glue
AWS Glue is a robust data integration solution that excels in fully managed, cloud-based ETL processes on the Amazon Web Services (AWS) platform. Designed to help you discover, prepare, and combine data, AWS Glue simplifies analytics and machine learning.
Key Features of the AWS Glue
- You don’t have to write the code for creating and running ETL jobs, this can be done simply by using AWS Glue Studio.
- Using AWS Glue, you can execute serverless ETL jobs. Also, other AWS services like S3, RDS, and Redshift can be integrated easily.
- Your data sources can be crawled and catalogued automatically using AWS Glue.
Pricing at AWS Glue
For AWS Glue the pay you make is hourly and the billing is done every second. You can request them for pricing quote.
The Best-Suited Use Case for AWS Glue
AWS Glue is a good choice if you’re looking for a fully managed, scalable and reliable tool involving cloud-based data integrations.
12. SnapLogic
SnapLogic is an integration platform as a service (iPaaS) that offers fast integration services for your enterprise. It comes with a simple, easy-to-use browser-based interface and 500+ pre-built connectors. With the help of SnapLogic’s Artificial Intelligence-based assistant, a person like you from any line of business can effortlessly integrate the two platforms using the click-and-go feature.
Key Features of SnapLogic
- SnapLogic offers reporting tools that allow you to view the ETL job progress with the help of graphs and charts.
- It provides the simplest user interface, enabling you to have self-service integration. Anyone with no technical knowledge can integrate the source with the destination.
- SnapLogic’s intelligent system detects any EDI error, instantly notifies you, and prepares a log report for the issue.
Pricing at SnapLogic
SnapLogics’s pricing is based on the package you select and the configuration that you want with unlimited data flow. You can discuss the pricing package with their team.
The Best-Suited Use Case for SnapLogic
SnapLogic is an easy-to-use data integration tool that is best suited for citizen integrators without technical knowledge.
13. Talend
Talend is an ETL solution that includes data quality, application integration, data management, data integration, data preparation, and big data, among other features. Talend, after retiring its open-source version of Talend Studio, has joined hands with Qlik to provide free and paid versions of its data integration platform. They are committed to delivering updates, fixes, and vulnerability patches to ensure the platform remains secure and up-to-date.
Key Features of Talend
- Talend also offers a wide array of services for advanced Data Integration, Management, Quality, and more. However, we are specifically referring to Talend Open Studio here.
- Your business can install and build a setup for both on-premise and cloud ETL jobs using Spark, Hadoop, and NoSQL Databases.
- To prepare data, your real-time team collaborations are permitted.
Pricing at Talend
Talend provides you with ready-to-query schemas, and advanced connectivity to improve data security included in its basic plan starting at $100/month.
The Best-Suited Use Case for Talend
If you can compromise on real-time data availability to save on costs, consider an open-source batch data migration tool like Talend.
14. IBM Infosphere Data Stage
IBM DataStage is an enterprise-level data integration tool used to streamline your data transfer and transformation tasks. Data integration using ETL and ELT methods, along with parallel processing and load balancing is supported ensuring high performance.
Key Features of IBM Infosphere Data Stage
- To integrate your structured, unstructured, and semi-structured data, you can use Data Stage.
- The platform provides a range of data quality features for you, including data profiling, standardization, matching, enhancement, and real-time data quality monitoring.
- By transforming large volumes of raw data, you can extract high-quality, usable information and ensure consistent and assimilated data for efficient data integrations.
Pricing at IBM Infosphere Data Stage
Data Stage offers free trial and there after you can contact their sales team to obtain the pricing for license and full version.
The Best-Suited Use Case for IBM Infosphere Data Stage
IBM Infosphere DataStage is recommended for you as the right integration tool because of its parallel processing capabilities it can handle large-scale data integrations efficiently along with enhancing performance.
15. Oracle Data Integrator
Oracle Data Integrator is one of the most renowned Data Integration providers, offering seamless data integration for SaaS and SOA-enabled data services. It also offers easy interoperability with Oracle Warehouse Builder (OWB) for enterprise users like yourself. Oracle Data Integrator provides GUI-based tools for a faster and better user experience.
Key Features of Oracle Data Integrator
- It automatically detects faulty data during your data loading and transforming process and recycles it before loading it again.
- It supports all RDBMSs, such as Oracle, Exadata, Teradata, IBM DB2, Netezza, Sybase IQ, and other file technologies, such as XML and ERPs.
- Its unique ETL architecture offers you greater productivity with low maintenance and higher performance for data transformation.
Pricing at Oracle Data Integrator
Though it is a free Open-Source platform, you can get Oracle Data Integrator Enterprise Editions Licence at $900 for a named user plus licence with $198 for software update registration & support, and $30,000 for Processor Licence with $6,600 for software update licence & support.
The Best-Suited Use Case for Oracle Data Integrator
The unique ETL architecture of Oracle Data Integrator eliminates the dedicated ETL servers, which reduces its hardware and software maintenance costs. So it’s best for your business if you want cost-effective data integration technologies.
16. IRI Voracity
IRI Voracity is an iPaaS Data Integration tool that can connect your two apps with its powerful APIs. It also offers federation, masking, data quality, and MDM integrations. Its GUI workspace is designed on Eclipse to perform integrations, transformations, and Hadoop jobs. It offers other tools that help you understand and track data transfers easily.
Key Features of IRI Voracity
- IRI Voracity generates detailed reports for ETL jobs that help you track all the activities and log all the errors.
- It also enables you to directly integrate their data with other Business Analytics and Business Intelligence tools to help analyze your data in one place.
- You can transform, normalize, or denormalize your data with the help of a GUI wizard.
Pricing at IRI Voracity
IRI Voracity offers you their pricing by asking for a quote.
The Best-Suited Use Case for IRI Voracity
If you’re familiar with Eclipse-based wizards and need the additional features of IRI Voracity Data Management, IRI Voracity, an Eclipse GUI-based data integration platform, is ideal for you.
Load your Data from any Source to Target Destination in Minutes
No credit card required
How to Choose the Right Data Integration Tools for your Needs?
While picking the right Data Integration tool from several great options out there, it is important to be wise enough. So, how would you select the best data integration platform for your use case? Here are some factors to keep in mind:
Also, check out the architecture of data integration to get a clearer idea of what you are working with.
1) Data Sources Supported
As your business grows, the complexity of the Data Integration strategy will grow. Take note that there are many streams and web-based applications, and data sources that are being added to your business suit daily by different teams.
Hence, it is important to choose a tool that could grow and can accommodate your expanding list of data sources as well.
2) Scalability
Initially, the volume of the data you need for your Data Integration software could be less. But, as your business scales, you will start capturing every touchpoint of your customers, exponentially growing the volume of data that your data infrastructure should be capable of handling.
When you choose your Data Integration tool, ensure that the tool can easily scale up and down as per your data needs.
3) Security and Compliance
Given you are dealing with mission-critical data, you have to make sure that the solution offers the expertise and the resources needed to ensure that you are covered when it comes to security and compliance.
4) Real-Time Data Availability
This is applicable only if you are use case is to bring data to your destination for real-time analysis. For many companies – this is the primary use case. Not all Data Integration solutions support this. Many bring data to the destination in batches – creating a lag of anywhere between a few hours to days.
5) Data Transformations
The data that is extracted from different applications is in different formats. For example, the date represented in your database can be in epoch time whereas another system has the date in “mm-dd-yy”.
To be able to do meaningful analysis, companies would want to bring data to the destination in a common format that makes analysis easy and fast. This is where Data transformation comes into play. Depending on your use case, pick a tool that enables seamless data transformations.
Combining data discovery tools with data integration processes ensures that no critical data source is overlooked during the integration process.
Benefits of Data Integration Tools
Now that you have your right tool based on your use case, it is time to learn how are they beneficial for your business. The benefits range from:
- Improved Decision-Making: Since the raw data is now converted into usable information and data is present in a consolidated form, your decisions based on that information will be faster and more accurate.
- Automated Business Processes: Using these tools your data integration task becomes automated, which leaves you and your team with more time to focus on business development related activities.
- Reduced Costs: By utilizing these tools the integration processes are automated, so, manual efforts and errors are significantly reduced, therefore reducing the overall cost.
- Improved Customer Service: You deliver more personalized customer support and it becomes efficient as you can now have a comprehensive customer report which will help you understand their needs.
- Enhanced Compliance and Security: These tools make sure that the data handled follows proper regulatory standards and any of your sensitive information is protected.
- Increased Agility and Collaboration: You can easily share your data and collaborate across departments without any interruptions which boosts the datas overall agility and responsiveness.
-
-
-
-
-
Take a look at the best practices of data integration to seamlessly integrate your data without facing any issues.
-
Conclusion
This article provided you with a brief overview of Data Integration and Data Integration Tools, along with the factors to consider while choosing these tools. You are now in the position to choose the best Data Integration tools based on your requirements.
There are several great options available, including tools like Informatica, Boomi, and AWS Glue, each catering to different needs. However, if you’re looking for a fully managed, no-code platform that supports real-time data integration and transformation, Hevo Data stands out as a reliable choice. With its intuitive interface and wide range of connectors, Hevo can help you simplify your data integration process and scale effortlessly. Sign up for Hevo’s 14-day free trial and experience seamless data migration.
FAQs on Data Integration Tools
What are the main features to look for in a data integration tool?
The main features to look for in a data integration tool are the data sources it supports, its scalability, the security and compliance it follows, real-time data availability, and last but not the least, the data transformations it provides.
How do data integration tools enhance data security?
The data integration tools enhance data security by following proper regulatory standards and protecting your sensitive information.
Can data integration tools handle real-time data?
Integration tools like Hevo Data, Talend, Jitterbit, and Zigiwave can handle real-time data.
What are the cost considerations for different data integration tools?
Cost consideration for different data integration tools include your initial licensing and subscription fees, along with the cost to implement and setup that tool followed by maintenance and support.
How do I choose between open-source and proprietary tools?
While choosing between open-source and proprietary tools you consider relevant factors, such as business size, scalability, available budget, deployment time and reputation of the data integration solution partner.
Nitin, with 9 years of industry expertise, is a distinguished Customer Experience Lead specializing in ETL, Data Engineering, SAAS, and AI. His profound knowledge and innovative approach in tackling complex data challenges drive excellence and deliver optimal solutions. At Hevo Data, Nitin is instrumental in advancing data strategies and enhancing customer experiences through his deep understanding of cutting-edge technologies and data-driven insights.
