Best ETL Tools of 2024

Supermetrics helps agencies, small businesses, and large companies solve their data problems with its web-based ETL capability. It acquires the marketing data companies need and loads all the data to the destination platform, whether it’s a data warehouse, data lake, data visualization tool, spreadsheet, reporting, storage, or BI tool.

Supermetrics organizes marketing data effectively so the users can quickly bring dimensions and metrics from the marketing platforms into the go-to reporting with no sampling. After migrating data to the preferred storage platform, users can filter data accordingly. Users can also check the performance to know what is working and what is not. In the end, they can prepare their dashboard by automating the reporting and scheduling data transfers while eliminating hours of manual work.

Supermetrics supports Google Sheets, Power BI, Microsoft Excel, Amazon S3, Azure SQL Database, and Snowflake as data destinations. Users can connect this platform to data sources like Ahrefs, Google Analytics 4, Google My Business, Shopify, YouTube, Bing Webmaster Tools, Instagram Insights, and more.

Supermetrics enables companies to build stunning dashboards. The only task for the businesses is to work on crunching numbers in the spreadsheet or move their data into the data warehouse. Companies can extract marketing data in JSON, CSV, or any other custom output format.

Dataddo is a data integration platform that connects all data sources to move data to different storage and dashboards instantly. It helps collect marketing data from any source and reach any destination. It also allows users to monitor all the incoming data from the management centre.

Dataddo manages all the changes to the ETL pipelines so that organizations do not need to worry about missing data due to broken pipelines. Its sophisticated data manipulation features make non-technical users use it like a pro. In addition, it operates with the BI tools and data warehouse so that users can bring their own data.

Dataddo is an excellent tool that supports a wide range of cloud storage, such as AWS Redshift or Google Big Query, and on-premise data warehouses like PostgreSQL, SQL server, and Maria DB. It also supports a wide range of file servers, including Google Sheets and Amazon S3.

Hevo is a highly intuitive and no-code data pipeline software that sets up reliable marketing data pipelines within minutes. It loads data faster from any source to the warehouse in real-time for better analytics.

Hevo supports 150+ plug-and-play integrations across SaaS applications, SDKs, streaming services, cloud storage, and databases. It migrates data to 15+ destinations, including SaaS apps, databases, data warehouses, and more.

Hevo’s fully automated and managed data pipeline loads all the data to the data warehouse and prepares it for further analysis. Hevo’s intuitive interface facilitates pipeline setup with a few clicks, saving time while developing a core product.

Hevo can manage all pipelines and future operations. It eliminates the need for ETL scripts or Cron jobs for marketing data. Hevo efficiently detects faults and formats or transforms data. It can handle millions of records without latency, ensuring the growth of pipelines with the growth of business.

AWS Glue offers a serverless but scalable data integration service. It makes discovering, combining, and preparing data easier for machine learning, application development, and analytics. It only takes minutes to analyze data and prepare it for use. It performs multiple tasks, including extracting and discovering data from different sources, cleaning, combining, normalizing, and enriching data.

AWS Glue comes with code-based and visual interfaces to make data integration effortless. AWS Glue Data Catalog is also there to help companies find and access data easily. Developers and data engineers can visually create, monitor, and run ETL workflows on this platform in just a few clicks.

Companies can visually enrich, normalize, and clean data without writing any code. They can use SQL to replicate and combine data across various data stores. With AWS Glue, users get faster data integration and automate data integration workflow to scale the business.

Integrate.io turns data house into a data platform, fueling all operational systems and company decision-making. It helps provide a better customer experience, more profit, and faster growth. Here, both technical and non-technical users can build and manage data pipelines. The top use cases of this software are operational ETL, including bidirectional Salesforce data integration solutions, B2B file data sharing, and file data preparation.

Integrate.io offers a low-code data transformation layer where non-technical users can choose from 220+ table and field-level transformations, while technical users can opt for more advanced transformations.

Integrate.io empowers eCommerce companies that need real-time reporting to grow and operate their business. They can integrate supply power to many industries to grow with their own data. Users can enhance customer experience with real-time inventory, carrier, and fulfilment performance reporting to uncover operational efficiencies and build reliable forecasts.

Fivetran securely connects applications and databases to centralize data and deliver faster and better insights to users. Select the destination to bring data from the data warehouse or other sources and build a data-driven business. Companies can accelerate the analytics with integrated transformations.

Fivetran’s pipelines continuously and automatically update with fully managed connectors. This easy-to-use platform maintains API changes and provides rich data insights in minutes. Fivetran guarantees an uptime of 99.9% as it performs all the pipeline works. It seamlessly prepares, cleans, and lands data in the right destination.

Fivetran offers comprehensive security and faster insights with pre-built transformations, governance, and privacy. It centralizes connector management and automates data transformation with zero consumption.

Informatica enables organizations to build an intelligent data enterprise and manage all data in a single platform. It transforms basic data into business intelligence via its Intelligent Data Management Cloud, a cloud dedicated to data management tasks. The ETL tool helps to integrate, access, and ingest all the data to accelerate analytics along with AI projects and drive cloud modernization.

Informatica protects user data by using a marketplace where users can enhance the value of privacy regulations and meet daily changes. Informatica supports complex hierarchical documents like XML, JSON, and AVRO that companies can read and write without any coding. It offers pre-built transformation for industry-standard formats like SWIFT, HIPAA EDI X12, ACORD, and EDIFACT.

Users can gain a perfect view of all the data in a single window for better insights in order to improve experiences, online sales, and supply chains. Informatica delivers and synchronizes all the data to modernize applications rapidly and automate business processes.

Matillion Data Loader lets organizations manage CDC and batch pipelines together without coding knowledge. This cloud-native platform makes modern analytics easy by transforming data into useful information in minutes for better business decisions and new insights.

Matillion extracts the data, transforms it, and loads it in the cloud data warehouse. This ETL tool offers the power and flexibility of the cloud to organizations for ready, rapid, and easy access to their data. Use Matillion’s extensive inventory of out-of-the-box and pre-built connectors for the most popular databases and applications.

Matillion supports almost all cloud data warehouses, such as Delta Lake, Snowflake, Microsoft Azure Synapse, Google BigQuery, Amazon Redshift, and more, to offer the power and benefits of all cloud services.

Apache NiFi is a scalable­ and distributed open-source data inte­gration platform that facilitates automate­d data flow between dive­rse systems. Its capabilities extend beyond just handling ETL processes as it facilitates data extraction, transformation, loading, routing, filtering, and aggre­gation.

Apache NiFi is an excellent tool that effectively solve­s various data integration challenges. It finds application across diverse industries, including government agencies, financial institutions, and healthcare organizations.

Apache NiFi acts as a data management software facilitating secure, efficient, and cost-effective processing and management of massive data volumes for organizations. It guarantees data delivery, buffers data with back pressure, prioritizes queuing and applies flow-specific QoS.

Apache NiFi e­nsures reliable de­livery of information by incorporating loss-tolerant mechanisms. Its dynamic prioritization fe­ature enables use­rs to rapidly develop and modify their se­tups with back pressure control, guarantee­ing low latency and high throughput.

Pentaho Data Inte­gration (PDI), commonly referred to as Kettle, is an open-source ETL tool offering versatile capabilities for data integration and transformation.

Pentaho Data Integration can extract information from databases, flat files, and web applications. Then, it transforms data into desired formats before securely loading it into destinations like cloud storage, databases, or files.

PDI offers flexibility to its users to quickly build up and run successful data integration jobs on a secure platform. This open-source solution is the perfect blend of affordability and flexibility, enabling reliable data handling for large volumes. Its user-friendly GUI makes it easy to create and manage jobs with various built-in functions that simplify ETL processing.

PDI also allows for the connection of versatile sources and destinations, while its automated scheduling provides troubleshooting solutions. Users benefit from the well-documented source code of PDI on the GitHub repository, plus get knowledge-sharing support from its community members.

IBM DataStage is a robust ETL software that enables organizations to create data pipelines in the cloud environment. The core functionality of this data integration application is to develop and implement data transformation tasks. This no-code or low-code environment comes with hundreds of pre-built connectors for reduced development time and better deployment consistency.

IBM DataStage smoothly integrates with other IBM services for data virtualization, governance, BI, and data science for accelerated DataOps. DataStage flows allow collaborative tasks and offer access control to the projects.

IBM DataStage can automatically balance the workload while processing a large volume of data with parallel engine and load balancing. These ensure enhanced management of computer resources and high performance. Its data lineage feature shows the flow of data through the transformation process.

Alteryx allows companies to automate the ETL process with a self-service solution. Data analysts can access hundreds of data connectors to build pipelines and load the data into targets such as cloud data warehouses. It also supports transforming data into the preferred format for analytics. Data analysts, data engineers, data scientists, and business users can benefit from this AI/ML-powered platform.

Alteryx facilitates quick data preparation for building scalable end-to-end data pipelines. Post transformation, it automatically sends the output to the target applications that can utilize it. One of its prominent use cases is analytics automation. Alteryx cleanses and blends the data to deliver unified data profiles that can be used for advanced analytics tasks.

Alteryx supports the Software Development Lifecycle while its role-based access control ensures data security. It even allows programmatic access via APIs and workflow automation that saves the team from manual tasks. Additional features of this platform include data pipeline orchestration, active data profiling, and universal data connectivity.

Alteryx Pricing

The pricing of Designer Cloud starts at $4,950 for US customers. For other countries, contact the sales team.

Qlik Compose is data automation and transformation software purpose-built for data architects. It streamlines repetitive tasks related to ETL integration to free users from manual coding. Qlik Compose automates tasks in the data warehousing lifecycle, such as designing, development, change management, and impact analysis.

Qlik Compose automatically generates the ETL commands, data warehouse structures, and documentation for the users. Thus, they can design, build, and maintain a data warehouse in less time and money.

Qlik Compose enables real-time data warehousing on Amazon Redshift. It supports integration with Qlik Replicate to load incremental source updates in real-time in the Cloud. This integration enables real-time ETL and supports the widest ecosystem data sources, including relational databases, legacy, and NoSQL data stores.