Best Data Integration Tools for 2025: Features, Pricing, and Use Cases

Dealing with different data sources without efficient data integration tools turns valuable information into a liability. These solutions give you a unified view of your data, eliminating silos and ensuring data consistency, accuracy, and accessibility. 

But, where do you start? Navigating the 2025 data integration market, with the shift towards scalable cloud platforms, self-service integrations, and AI automation, can be tough.

In this article, we’ll break down the best data integration tools in 2025 and give you practical tips to help you find the perfect fit for your business.

Table of contents

• Top data integration tools for enterprises in 2025
• Best data integration tools for small and medium-sized businesses (SMBs)
• Leading no-code and low-code data integration tools
• Open-source and developer-focused data integration tools
• Specialized data integration solutions for business intelligence (BI) and reporting
• How to choose the right data integration tool for your business?
• Conclusion

Top data integration tools for enterprises in 2025

If you’re in a large organization, you need robust, scalable, and secure tools for data integration. The list below includes solutions that offer comprehensive automation, cloud integrations, and API support, with a focus on scalability and security.

Azure Data Factory (ADF) is a cloud-native service from Microsoft designed to create and manage ETL and ELT processes for enterprise data workflows. It’s strong for basic  orchestration and data movement, and scales dynamically to handle varying data loads. Plus, since it’s built right into Azure, you get seamless integration with other Microsoft services and the benefit of Azure’s strong security.

Pricing: Consumption-based; charges for pipeline runs, data flows, and runtime.

Use cases:

• Orchestrate data pipelines for Azure SQL and Cosmos DB data warehousing.
• Automate real-time CDC data integration.
• Ingest and prepare IoT data streams for downstream analytics (with Stream Analytics).

Cleo Integration Cloud (CIC) is a better fit for manufacturing, logistics, and retail organizations or those with complex supply chain and EDI needs. With its API-first design, CIC lets you create custom integrations, automate complex B2B workflows, and streamline data exchange with trading partners. 

Pricing: Subscription-based; tailored to organizational size and needs.

Use cases:

• Automate EDI-based order processing and real-time inventory updates with suppliers.
• Track shipments in real time.
• Synchronize product catalogs and pricing with distributors with automated API integrations. 

Devart ODBC Drivers offer a streamlined and secure way to connect your applications to over 25 popular databases like SQL Server, Oracle, and MySQL — no need to install extra software. You can also connect directly to 60+ cloud data sources using standard HTTP or a proxy server. In addition, they work on any system and integrate with a wide range of third-party data tools.

Pricing: Flexible licensing; tailored to desktop, server, or enterprise needs. Offers a 30-day free trial.

Use cases:

• Integrate real-time data from CRMs into business intelligence tools for reporting.
• Migrate data easily between on-premise and cloud databases.
• Create custom data connections for internal apps.

Best data integration tools for small and medium-sized businesses (SMBs)

SMBs need practical, accessible data integration solutions that are easy to set up and use, even without a big IT team. Here, we’ve selected tools that deliver value quickly, focusing on user-friendliness, budget-friendly pricing, and accessible support.

If fast, no-code pipeline deployment is your priority, Hevo Data is the best option. Just point and click to automate data flows, including real-time replication from over 150 pre-built sources, like Firebase Analytics, NetSuite, and BigCommerce. Plus, you don’t have to deal with any ETL infrastructure, and it comes with a library of pre-built integrations to speed up data onboarding.

Pricing: Subscription-based; charges based on number of records processed. Offers a 14-day free trial.

Use cases:

• Automate customer data sync (CRM to marketing).
• Replicate e-commerce sales data for real-time reporting.
• Streamline marketing analytics data flows.

Celigo is a strong iPaaS for SMBs automating workflows between cloud apps like NetSuite, Salesforce, and Shopify. Unlike Hevo Data, it focuses on streamlining business processes using a low-code UI with pre-built templates for ERP, CRM, and finance systems. As an added bonus, it offers AI-assisted integration design and mapping.

Pricing: Tiered subscriptions based on features and usage. Offers a 30-day free trial with limited endpoints.

Use cases:

• Automate order-to-cash workflows between ERP and CRM.
• Synchronize customer data between marketing automation and CRM.
• Automate inventory management across supply chain applications.

Need to perform a quick analysis directly within Excel? Devart Excel Add-ins let you connect your databases and cloud applications without leaving your spreadsheet. You can use SQL or its simple drag-and-drop query builder to get exactly what you need, refresh it instantly, and make edits to the source data without switching applications. 

Pricing: Flexible one-time subscription; per add-in, Database/Cloud pack, or Universal pack. 30-day free trial available.

Use cases: 

• Build real-time financial reports and automate data refreshes.
• Analyze sales performance across multiple cloud platforms without exporting CSVs.
• Create quick data visualizations querying and updating database tables from Excel.

Leading no-code and low-code data integration tools

No-code and low-code tools for data integration allow anyone to automate workflows with visual tools, drag-and-drop interfaces, and pre-built components. Among these solutions, the best are:

Jitterbit‘s Harmony platform simplifies API integration with a drag-and-drop interface to create standards-based HTTP/REST connectors and custom APIs. Additionally, it comes with over 200 pre-built connectors for popular SaaS apps and on-prem systems, so it’s really good for connecting legacy SQL applications to new cloud systems. 

Pricing: Subscription-based; tiered by features and usage volume. Offers a 14-day free trial.

Use cases:

• Automate order fulfillment between online stores and ERP systems.
• Sync patient data between healthcare applications.
• Connect financial systems for real-time reporting.

If you want to build a custom integration and need fine-grained control, dotConnect is a strong option. Built specifically for C# and .NET, it provides high-performance access to major databases through ADO.NET data providers. Plus, it simplifies data manipulation with a visual ORM designer, robust LINQ, EF Core, and Entity Framework support, and database-specific optimizations.

Pricing: Subscription-based; varies based on your chosen ADO.NET data providers, license type, and edition. 30-day free trial available.

Use cases:

• Build custom data migration tools.
• Develop data-driven web services.
• Create internal applications that connect to diverse database systems.

Open-source and developer-focused data integration tools

Developer-focused tools are the smartest choice for in-house development teams building custom data pipelines and workflows. Here are some top options for extensive customization and direct data control: 

Apache NiFi is a popular open-source ETL tool. Its visual, flow-based interface makes building real-time data pipelines pretty easy, even at scale. In addition, its unique features (e.g., flow files, provenance events, and Groovy processors) give you plenty of flexibility. This makes it a go-to for teams managing high-volume data ingestion and pre-processing.

Pricing: Free to use.

Use cases:

• Real-time data ingestion from IoT devices.
• Building complex data routing and transformation pipelines.
• Managing data flow in event-driven architectures.

Unlike generic data access components, Devart DAC offers developers in Delphi, C++ Builder, and Lazarus fast, native database access. You can work seamlessly with most popular databases and build cross-platform, database-heavy apps without complex configurations. 

Pricing: Subscription-based; varies based on your chosen data access component, license type, and edition. 30-day free trial available.

Use cases:

• Developing high-performance desktop and server applications.
• Building data-centric applications with optimized database interactions.
• Implementing complex data access logic within Delphi and .NET environments.

Specialized data integration solutions for business intelligence (BI) and reporting

There are also many data integration tools with simplified real-time reporting, advanced analytics, easy data visualizations, and direct integrations with leading BI platforms. Our top two include:

Want to get a clear picture of your marketing and sales performance? You can use Adverity’s library of 600+ pre-built connectors to pull data from a wide range of sources. It automates data pipelines for real-time performance reporting, using AI to handle complex data transformation, mapping, and continuous monitoring.

Pricing: Custom pricing; based on organization needs and requirements.

Use cases: 

• Analyze real-time campaign performance across multiple ad networks to optimize bidding and targeting.
• Track customer journey across all sales channels to identify conversion bottlenecks and improve ROI.
• Create unified dashboards to monitor cross-channel campaign effectiveness and inform marketing strategy.

Devart SSIS Components optimize the ETL processes inside your SSIS packages. Expect support for a wide range of databases, warehouses, and cloud applications, along with quick bulk data transfers and streamlined lookup transformation. This combination lets you build efficient data pipelines much faster. 

Pricing: Flexible licensing; tailored to desktop, server, or enterprise needs. Offers a 30-day free trial.

Use cases:

• Build robust data warehouses with complex ETL processes.
• Integrate data from cloud applications like Salesforce and Dynamics 365 into SSIS.

How to choose the right data integration tool for your business?

When choosing data integration tools, focus on your specific needs. Here are a few tips:

• For growth, ensure the tool scales with your data volume and meets compliance standards. 
• Match the tool’s complexity to your team’s skills for rapid deployment. 
• Cloud-based tools often suit SMBs, while complex enterprise integrations may require on-premise solutions. 
• Factor in budget and existing infrastructure when deciding.

Conclusion

We’ve explored diverse data integration solutions, each tailored for specific needs and challenges. As AI automation, self-service, and cloud-based features become standard, it’s key to pick a tool that can remain flexible and scale alongside your organization. 

Devart has a wide suite of data integration solutions with free trials, so it’s a good place to start. If you need help choosing the right fit, you can contact the sales team for more information.