Data is like breathing to your organization, especially if you’re pushing toward digital transformation and data-backed decision-making. Statista estimates the world will produce over 180 zettabytes of data by 2025. That’s a lot of data! So, what’s the challenge for organizations? Data is scattered across multiple sources, and integrating your data into a single place is a labor-intensive and time-consuming task.
That’s where data integration tools come in. It provides a centralized, efficient, and scalable solution for combining data into a single, unified view. In addition, it has handy additional features like automating manual tasks, improving data quality, enhancing security, and more.
This article will discuss everything you need to know about data integration tools, including the types, features, benefits, and ten different data integration tools you should know about.
- What are data integration tools?
- Types of Data Integration Tools
- Benefits of Using a Data Integration Tools
- Key Features to Look For in a Data Integration Tool
- Top 12 Data Integration Tool For 2023
What are data integration tools?
A data integration tool is a software system that combines data from multiple sources into a unified view. It automates the process of extracting, transforming, and loading data from different sources, including databases, applications, and cloud services. In addition, data integration platforms include features such as data mapping, data validation, data transformation, and data warehousing, as well as security and management tools to help ensure the quality and integrity of the integrated data.
Types of Data Integration Tools
- Extract, transform, load (ETL) platforms: Used to extract data from source systems, transform them into a common format, and load it into a data warehouse or data lake.
- Enterprise application integration (EAI) platforms: Designed to integrate business applications such as ERP and CRM systems.
- Cloud integration platforms: Cloud integration platforms integrate data from cloud-based applications and services, such as Salesforce, Amazon Web Services (AWS), and Microsoft Azure.
- Real-time integration platforms: Used to integrate data in real-time for time-sensitive applications such as financial services and e-commerce.
- Change data capture (CDC) platforms: CDC platforms capture and replicate changes to data in real-time.
- Master data management (MDM) platforms: Used to manage and maintain a consistent view of critical business data, such as customer and product information.
10 Benefits of Using a Data Integration Tools
- Improved data quality
- Increased efficiency
- Enhanced decision-making
- Real-time insights
- Improved data security
- Reduced costs through automation
- Improved data governance
- Better collaboration
- Increased agility
Key Features to Look For in a Data Integration Tool
When evaluating data integration tools, it’s important to consider the following key features:
- Data connectivity: Linking to various data sources, such as on-premises systems, cloud apps, and databases.
- Data transformation: Including tools for transforming and cleaning data, such as mapping, filtering, and normalizing, to ensure that data is accurate and consistent.
- Data integration: Supporting real-time data integration and offering a centralized view of data from several sources.
- Scalability: Handling large amounts of data and supporting the organization’s increasing data integration needs as it grows.
- Security: Providing secure data management, including controlling access to sensitive data and ensuring that data is protected against unauthorized access and breaches.
Top 12 Data Integration Tools For 2023
Equalum is a data integration and orchestration tool designed to help organizations automate and streamline their data processing and management workflows. It offers a unified platform for data ingestion, transformation, orchestration, and delivery, allowing businesses to combine data from various sources, format it as needed, and transport it in real-time to target systems.
Best for: Real-time, cloud-native data integrations.
Price: Offers a free trial, and the pricing model is based on per feature.
Review: “The platform is a powerful data integration and replication tool that combines advanced technologies, such as Kafka and Spark, with CDC (change data capture) capabilities. It provides unique features and performance advantages, making it an ideal solution for data migration and replication.”
Talend is a data integration and data management solution that offers a range of tools for data integration, including ETL, data migration, data quality, and master data management. Some of these tools are available in the cloud and on-premises, allowing organizations to choose the deployment option that best meets their needs.
Best for: Flexible cloud or on-premises deployment options.
Price: A free basic option is available, and Talend data cloud integration will cost 1170 USD per month/user.
Review: “Talend Data Integration helps to collaborate between different services and helps in data ingestion from various sources like Azure, AWS, on Premise, etc.”
3. Hevo Data
Hevo Data is a cloud-based data integration platform that enables organizations to collect, process, and analyze data from various sources in real-time. Hevo supports a range of data sources, including databases, cloud applications, and APIs, and allows real-time data ingestion.
Best for: Strong data security features, such as encryption and user management.
Price: A free version with limited monthly events and basic features, a starter version for $239 per month with more connectors and support, and a custom-priced business version are available.
Review: “Hevo Data is a highly efficient and user-friendly data integration platform designed to meet the modern needs of ETL, ELT, and Reverse ETL. This platform requires no coding and provides bi-directional data pipeline capabilities, making it easy for data teams to manage and automate organizational data flows.”
Fivetran is a cloud-based data integration tool that enables organizations to seamlessly integrate their data in real-time without requiring manual intervention. It supports many data sources, including databases, cloud apps, and APIs.
Best for: Zero-maintenance architecture makes sure that integrations are always current.
Price: Offers four models, Starter, Starter Select, Standard, and Enterprise, with custom pricing.
Review: “Fivetran provides pre-built connectors for over 100 data sources, with databases, SaaS applications, cloud storage, and more. I can’t not mention the Automated Data Pipelines. It means Fivetran automatically ingests, transforms, and loads data into the data warehouse, eliminating the need for manual data integration.”
StreamSets is an open-source data integration platform that provides a range of features for collecting, processing, and delivering data from various sources to various destinations. Developers and data engineers can easily create, manage, and monitor data pipelines with its user-friendly interface, which is meant to be extremely scalable and effective.
Best for: DataOps with data integration.
Price: A free trial, a professional package for 1000 USD per month, and an enterprise package with custom pricing.
Review: “The platform is optimized for DataOps, improving team collaboration and efficiency. It supports modern analytics and hybrid integration, providing organizations with the ability to leverage their data for better decision-making.”
While not strictly a data integration platform, Aggua is a cloud-based data management platform that provides tools for data integration, quality, and governance. It helps organizations connect to and integrate data from various sources, ensure data accuracy and consistency, and manage data lineage and metadata. The platform has a user-friendly interface for working with data and includes collaboration and data-sharing tools.
Best for: Teams with Snowflake or BigQuery at the heart of their architecture.
Price: Contact the vendor for pricing plans.
Review: “It’s a tool for everyone on the data team and even for business analysts that are not part of the data team. I think I would frame it as a tool for everyone that is related to data somehow in the organization.”
7. Oracle GoldenGate
Oracle GoldenGate is a real-time data integration and replication software solution. It provides real-time data integration and replication capabilities for organizations looking to consolidate data from multiple sources into a centralized data repository for analysis and reporting.
Best for: Streaming across multiple databases and platforms.
Price: A free trial and a license model at 250 USD.
Review: “With its ability to efficiently synchronize data between multiple systems, Oracle Golden Gate helps organizations keep their data up-to-date and ensures that critical information is always available when needed.”
Bryte is a data integration and management platform that assists businesses in streamlining workflows, automating data management processes, and enhancing the accuracy and quality of their data. Furthermore, it offers a range of data quality tools, including data profiling, data matching, and data standardization, to help organizations improve the accuracy and consistency of their data.
Best for: Automated data integration in real-time.
Price: BryteFlow pricing plans change based on the cloud service provider.
Review: “BryteFlow Ingest’s CDC capability for working with enterprise relational databases (e.g. MS SQL and Oracle) at scale and with operational stability, particularly with very large data volumes.”
Matillion is a cloud-based data transformation and integration platform that enables organizations to extract, transform, and load data from various sources into cloud data warehouses such as Amazon Redshift, Snowflake, and Google BigQuery. In addition, the platform provides a visual interface for building and executing data integration jobs, making it easy for users with little to no coding experience to work with big data.
Best for: Perform ETL tasks for large amounts of data in cloud data warehouses for further analysis and reporting.
Price: Matillion Credits are the form of payment for the usage of Matillion ETL. They cost 2.00 USD per credit. Matillion offers a free version and three pricing plans: Basic, Advanced, and Enterprise, which start at 2.00, 2.20, and 2.30 credits.
Review: “It is optimized for cloud data platforms such as Snowflake, Delta Lake on Databricks, Amazon Redshift, Google BigQuery, and Microsoft Azure Synapse, allowing for efficient and productive data management across organizations. With its easy-to-use interface, Matillion makes it simple to make the world’s data useful. “
Striim is a real-time data integration and streaming analytics platform for collecting, processing, and analyzing large volumes of data from various sources. It offers a scalable, fault-tolerant, and secure platform for data integration.
Best for: Streaming analytics.
Price: A free version is available for 10 million monthly events, and there are two plans starting from 2500 USD per month.
Review: “Striim is a real-time data preparation tool that handles data streaming. It is equipped with intelligent modules, automation, and scripts that enable accurate and fast data ingestion.”
Equalum: Streamlining Your Data Journey
Using data integration tools not only improves the efficiency of the data integration process but also enhances the overall data quality and security.
With Equalum’s built-in CDC capabilities, you can further improve the data integration process by continuously accessing real-time data, tracking changes, and applying transformations before ETL. Find more on how Equalum can support your organization by booking a free demo.