Data integration tools: 8 best solutions for 2023
Discover the best data integration tools and learn about their key features and pricing. Our comparisons will help you streamline your data management and make informed decisions.
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Between websites, social media platforms, and apps, your company has a ton of data coming in. If your data is spread across disparate sources, it’s tough to manage, let alone gain meaningful insights that lead to action.
That’s where data integration tools come in. Data integration tools ingest data from multiple sources and consolidate, transform, and transfer it to a single destination, providing a unified view of all your customers. Data integration tools are commonly used for business intelligence, legacy system data migration, and machine learning.
Data integration tools can simplify your processes and help your organization act on customer insights faster.
1. Informatica
Informatica PowerCenter provides ETL, ELT, data masking, data replication, and other services.
Useful features
Metadata-driven architecture
Integration with apps and APIs
Who is it for?
Organizations that deal with many on-premise legacy data sources
Pricing
Informatica doesn’t publicly disclose its prices.
2. Jitterbit
Jitterbit is often called the “Swiss Army Knife” of data integration tools because it allows companies to quickly and easily integrate with SaaS, on-premise, and cloud apps with Jitterbit’s API.
Useful features
Automapper feature with 300 premade templates to speed up data transformation
Speech recognition and real-time language translation via AI
CDC functionality
Who is it for?
Suitable for small to medium-sized organizations that deal with high volumes of data because of its ease of use and affordability
Pricing
Jitterbit doesn’t publicly disclose its prices.
3. Qlik
Qlik speeds up data ingestion, replication, and streaming across databases and big data platforms and automates transformation to any cloud application.
Useful features
Managed data lake creation
Near real-time data replication
Who is it for?
Businesses that rely on real-time data, including financial services, retail, and e-commerce.
Pricing
Qlik doesn’t publicly disclose its prices, but interested parties can contact Qlik.
4. Dell Boomi
Dell Boomi is a data integration solution that offers a low-code or no-code user interface (UI). Additionally, its pre-built connectors save users valuable time.
Useful features
Drag-and-drop visual UI for improved speed and flexibility
Option to upload test versions of your integrations to minimize regressions from software updates
Who is it for?
Organizations with hybrid cloud operations
Businesses in the manufacturing industry that could use analytics to stay ahead of supply chain issues
Pricing
Boomi doesn’t publicly disclose its prices.
5. IBM
IBM, often referred to as a pioneer of data management, boasts an ETL tool that integrates data from enterprise systems and offers extended metadata management and enterprise connectivity.
Useful features
Data cleaning and other data quality measures, including standardization and enrichment
Data integration flow designer that allows users to create and manage data integration workflows
Who is it for?
Teams already using IBM tools in other areas
Organizations in healthcare and telecommunications or those that generate substantial volumes of data
Pricing
IBM doesn’t publicly disclose its prices.
6. SnapLogic
SnapLogic’s data integration platform provides a simple self-service user interface that allows users to create, publish, and manage APIs for data and application integration.
Useful features
Easy integration with Internet of Things (IoT) devices
Reporting tools to view the progress of ETL jobs
An AI-powered integration assistant that guides users through integration
Who is it for?
Teams that aren’t necessarily the most technically adept
Pricing
SnapLogic doesn’t publicly disclose its prices.
7. Pentaho
Pentaho is a comprehensive open-source data integration and ETL tool that merges data integration and data analytics.
Useful features
Ability to replicate unstructured data
Simple learning curve
Who is it for?
Organizations with complex data landscapes or multiple data sources
Companies that require comprehensive data governance
Pricing
The cost to use Pentaho is not made public by the company.
8. Twilio Segment
Twilio Segment provides a comprehensive and user-friendly platform that enables businesses to collect, unify, and activate customer data from various sources.
Useful features
Audience segmentation
Unified customer profiles
Who is it for?
Retail/E-commerce
Financial services
Healthcare
B2B
Pricing
Starts at $120 per month for up to 10k visitors per month
Free trial available
How Twilio Segment’s CDP provides unmatched data integration
Twilio Segment’s customer data platform (CDP) is a powerful data integration tool that empowers businesses to seamlessly collect, unify, and activate customer data from various sources, enabling personalized and data-driven customer experiences at scale.
Collect, clean, and structure your data in one place
Twilio Segment collects data from multiple sources, including websites, apps, customer relationship management (CRM) platforms, and more. This allows organizations to capture customer data in real time as it’s generated and route it to a centralized data store.
Once collected, data is cleaned and standardized so organizations can map their data to a standardized schema or data model and structure the data for their specific use case. Protocols ensures this data validation and governance at scale, automatically flagging any data that doesn’t adhere or match a company’s pre-set tracking plan. Segment also provides pre-built, customizable integrations and data models.
Govern data and protect user privacy
Organizations using Twilio Segment can be confident their data is handled in accordance with data privacy regulations, including the GDPR and HIPAA. Segment offers regional data ingestion, the ability to comply with user deletion requests at scale, and is a HIPAA-eligible platform.
With its Privacy Portal, businesses can automatically flag, classify, and mask sensitive information (data that is also encrypted at rest and in transit).
Build and unify profiles and audiences
Through Unify, Twilio Segment gives you a single customer view with identity resolution.
Tracking interactions in real time provides a deeper understanding of customer behavior, so organizations can deliver more personalized experiences across all channels.
Customer profiles are stitched together from different sources like email addresses, Internet of Things (IoT) devices, social media, and more.
Use your data everywhere you need
After data is ingested, Segment sends it to whatever destinations you have set up, whether it’s a CRM or marketing automation platform. This enables each team to have access to the complete picture of customer data. And with reverse ETL, users can also activate data after it has been enriched in their warehouse.
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Frequently asked questions
A data integration tool ingests your data from multiple locations and then consolidates and transforms it, enabling organizations to gain a unified view of their data and improve the decision-making process. Data integration tools improve workflows and help businesses scale.
ETL is commonly used for data integration and can be considered an integration tool because it facilitates the integration of data from multiple sources into a single target system.
Each methodology used in data integration comes with its own pros and cons, and the right choice depends on the specific requirements.
Extract, Transform, Load (ETL): A traditional approach to data integration that involves extracting data from multiple sources before transforming it into a standardized format and then sending it to a data warehouse or data lake
Extract, Load, Transform (ELT): Similar to ETL, but this approach involves loading data into a target system before transformation
Data replication: The process of storing the same data in multiple locations, often conducted using middleware
Data virtualization: The process of creating a virtual view of data from multiple sources to provide real-time access to integrated data
Enterprise Service Bus (ESB): Also called application-based integration, this middleware approach uses an ESB to act as a communication layer between systems and handles data transformation, routing, and integration
Integrating customer data from multiple sources, such as a CRM, marketing automation platform, and social media, to create a unified view of customer behavior
A healthcare organization integrating patient data from electronic health records (EHRs) and medical imaging systems to provide a complete view of patient health
Integrating supply chain data from order, inventory, and transportation management systems to optimize logistics and improve supply chain visibility
Data integration methodologies are strategies for combining data from multiple sources into a unified view.
Data integration tools are software platforms or apps that support data integration methodologies.
Data integration tools are critical to an organization’s data management strategy because they provide a unified view of data, allowing the organization to use it for reporting, analytics, business intelligence, and data-driven decision-making.
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