ETL refers to the process of loading data from a source framework into a data warehouse. Data is taken from an Online Transactional Processing database, modified to match the data warehouse schema, and fed into the data warehouse database. The entire name of the ETL tool is Extract, Transform, and Load.

In the list of the top tools, we have mentioned the Top 30 ETL Tools along with their features and pricing for you to choose from.

1. Pentaho

Pentaho is a prominent Business Intelligence software that includes OLAP, data integration, reporting, data mining, information dashboards, and ETL capabilities. Pentaho allows you to turn complicated data into relevant reports and extract useful information from them.

Key Features:

• Pentaho makes extensive use of multi-cloud and hybrid systems.

• Data Processing and Data Integration capabilities from many data sources are available in Pentaho.

• Pentaho is built on the interpretation of XML-formatted ETL methods. Pentaho is superior to many of its competitors since it does not generate code.

Cost:

Free

2. Talend

Talend lets you manage every stage of the data lifecycle and gives you access to clean data. Data Integration, Data Integrity, Governance, API, and Application Integration are all services provided by Talend. Talend also supports all major public cloud infrastructure providers and practically any cloud Data Warehouse.

Key Features:

• Talend Studio has a graphical user interface for creating flow and transformation algorithms.

• It connects to a variety of software as a service offering and supports most on-premise and cloud databases.

• Talend uses a code generation method to perform its duties. This implies that every time the logic changes, the code must be rebuilt.

Cost:

Request a Quote from the sales team.

3. AWS Glue

AWS Glue is a serverless ETL service that sifts through your data and conducts Data Preparation, Data Ingestion, Data Transformation, and Data Catalogue building.AWS Glue comes with all of the data integration capabilities you'll need to get started with your data analysis.

Key Features:

• AWS Glue is mostly batch-oriented, although it can also support Lambda-based near-real-time use cases.

• It may construct a serverless full-fledged ETL Pipeline using AWS Glue and Lambda functions.

• Automatic schema discovery and an integrated Data Catalog are two notable aspects of AWS Glue.

Cost:

Request a Quote from the sales team.

4. Informatica PowerCenter

Informatica PowerCenter is a scalable and high-performance enterprise Data Integration solution that covers the complete Data Integration lifecycle. Data in batch, real-time, or Change Data Capture forms may be available on-demand using PowerCenter (CDC). It can also handle the most diverse set of Data Integration projects from a single location.

Key Features:

• Informatica PowerCenter makes creating Data Marts and Data Warehouses easier.

• It's mostly a batch-based ETL solution.

• It integrates with major Cloud Data Warehouses such as DynamoDB, Amazon Redshift, and others.

Cost:

Starts at $2000 /month

5. Apache Nifi

Apache Nifi was created with the goal of automating data flow across systems. Apache Nifi runs on a host operating system's Java Virtual Machine (JVM). Apache NiFi enables directed graphs of data routing, transformation, and system mediation logic that are both powerful and scalable.

Key Features:

• The Apache Nifi architecture allows developers to create a highly concurrent model without having to worry about the difficulties of concurrency.

• It's ideal for visual management and the building of processor driven graphs.

• Apache Nifi is asynchronous by design. Even when flow rates and processing change, this provides for very high throughput and natural buffering.

• It also encourages the creation of loosely linked and coherent components that may be reused in different circumstances, as well as the production of testable units.

Cost:

Free

6. Azure Data Factory

Azure Data Factory is a fully managed, serverless Data Integration solution. You can simply build ETL processes in an intuitive environment with Azure Data Factory, even if you don't have any prior coding experience. You can then use Azure Synapse Analytics to extract important insights to help you expand your business.

Key Features:

• Azure Data Factory is inexpensive since it offers a pay-as-you-go price approach.

• With over 90 built-in connections, Azure Data Factory can ingest all of your Software as a Service (SaaS) and software data.

• With built-in CI/CD and Git support, Azure Data Factory can rehost SQL Server Integration Services in a few clicks.

Cost:

Request a quote from the sales team.

7. IBM Infosphere DataStage

IBM Infosphere DataStage is a data transformation tool that is part of the IBM Infosphere and IBM Information Platforms Solutions portfolio. It creates Data Integration solutions using a graphical notation. IBM Infosphere DataStage is available in several versions, including Enterprise Edition, Server Edition, and VMS Edition.

Key Features:

• IBM Infosphere DataStage is an ETL tool that works in batches.

• It's a business solution aimed at larger companies with outdated data systems.

• Containers and virtualizations can help you save money on Data Movement.

• You can simply isolate ETL job design from execution and deploy it on any cloud using IBM Infosphere DataStage.

Cost:

Request a quote from the sales team.

8. Blendo

Blendo enables you to access your cloud data from Marketing, Sales, Support, and Accounting, allowing you to accelerate data-driven business intelligence and accelerate growth. Blendo has built-in Data Connection kinds that make the ETL process easier. It enables you to automate Data Transformation and Data Management in order to have faster access to BI insights.

Key Features:

• With reliable data, analytics-ready schemas, and tables designed and optimized for analysis with any BI program, you can speed up your investigation to insights time.

• Any SaaS application may be synced and automated into your Data Warehouse.

• You may connect to any data source using ready-made connectors, saving you time and allowing you to uncover relevant insights for your organization.

Cost:

Request a quote from the sales team

9. StreamSets

The StreamSets DataOps platform enables you to use continuous data to power your digital transformation and contemporary analytics. From a single point of login, you can monitor, develop, and execute smart Data Pipelines at scale. Batch, streaming, ML, CDC, and ETL pipelines can all be built and deployed efficiently using StreamSets.

Key Features:

• You may quickly shift between on-premises and different cloud environments with flexible Hybrid and Multi-Cloud deployment.

• With automated updates and no rewrites, you can cut maintenance time in half.

• Through global transparency and control of all Data Pipelines at scale across Multi-Cloud and Hybrid frameworks, you can close gaps and eliminate blind spots.

Cost:

Free

10. Google Data Flow

Within the Google Cloud ecosystem, Google Data Flow is a fully-managed service that can run Apache Beam Pipelines. It allows for large-scale data processing and computing in real-time. Batch processing and autoscaling also assist you to reduce processing time, latency, and cost.

Key Features:

• Because Data Flow's serverless solution reduces operational overhead from Data Engineering tasks, you can focus on programming rather than maintaining server clusters.

• When compared to its competitors, it offers simple and rapid Streaming Data Pipeline creation with lower Data Latency.

• Through Resource Autoscaling and cost-optimized Batch Processing capabilities, Google Data Flow gives practically endless capacity to manage your spiky and seasonal workloads without overpaying.

Cost:

Starts at $0.071

11. Xplenty

Xplenty is well-known for its Data Integration and ETL platform, which accelerates data processing and saves time. This allows your company to concentrate on insight rather than data preparation. It gives users a language and a point-and-click interface in a coding-free environment. This allows for easy data integration and processing.

Key Features:

• You may connect to over 140 different sources with Xplenty, including Data Warehouses, Databases, and Cloud-based SaaS systems.

• To guarantee that your data is kept in a compliant and safe manner, you may use Xplenty's Data Security team in conjunction with the Xplenty platform's Security Transformation tools.

• To provide a good User Experience, Xplenty offers limitless video and phone assistance to all users.

Cost: Starts from $1199/month.

12. IRI Voracity

IRI Voracity is a data management software that enables you to maintain control over your data at all stages of its lifecycle while maximizing its value. It's a controlled metadata framework based on Eclipse that integrates data integration, governance, migration, and discovery. Users of Voracity can create a batch or real-time operations that integrate ETL activities that have previously been optimized.

Key Features:

• With Hadoop or CoSort engines, you may optimize and combine data transformations.

• Legacy ETL tools can be made faster or discarded entirely by automatically transforming their mappings.

• CDR Data Warehouses, IoT, and Clickstream Analytics, as well as billing and batch processes, may all be powered by you.

Cost:

Offers a free trial

13. Xtract.io

Xtract.io is an online data extraction service that uses AI-powered data aggregation and extraction to help you accelerate your data-driven global business. Xtract.io believes in customizing solutions to provide its customers the freedom and agility they desire.

Key Features:

• To give correct information, Xtract.io uses AI/ML technologies such as Image Recognition, Natural Language Processing, and Predictive Analytics.

• It also merges data from a variety of sources, eliminates duplicates, and enhances it. This makes the information more accessible.

• Xtract.io creates strong APIs that deliver a continual stream of new data to your location. Both on-premises and cloud frameworks are included.

Cost:

Request a quote from the sales team.

14. Jaspersoft

Jaspersoft is largely considered as a market leader in the ETL section of the Data Integration market. It is part of the Jaspersoft Business Intelligence Suite, which provides a configurable, versatile, and developer-friendly Business Intelligence platform that is adapted to the needs of each customer.

Key Features:

• Jasper adheres to all web standards, including its embedding Javascript API. Its API-first strategy makes it a highly sought-after offering.

• It enables you to create data visualizations and reports that adhere to strict design guidelines.

• You can manage data security and access resources for all of your SaaS clients with multi-tenant support.

Cost:

Offers a free trial

15. Singer

Singer is an open-source scripting solution that improves data movement between apps and storage in an enterprise. Singer describes the link between data extraction and data loading scripts, which allows data to be extracted from any source and loaded to any destination.

Key Features:

• Singer taps and targets are basic pipe-based apps that don't require any daemons or sophisticated plugins.

• When appropriate, Singer uses JSON Schema to provide rich data types and rigorous organization.

• To assist incremental extraction, Singer makes it simple to preserve the state between invocations.

Cost:

Free

16. Sybase ETL

The Sybase ETL Server and Sybase ETL Development are two components of Sybase ETL. Sybase ETL Development is a graphical user interface (GUI) for building and planning Data Transformation projects and tasks. It comes with a full simulation and debugging environment that is meant to help you construct ETL Transformation processes faster.

Key Features:

• It can extract data from a variety of sources, including Sybase IQ, Sybase ASE, Oracle, Microsoft Access, Microsoft SQL Server, and others.

• It lets you import data into a target database in bulk or using delete, update, and insert commands.

• It gives you the power to cleanse, combine, transform, and divide data streams. The data-target may then be used to insert, edit, or remove data.

Cost:

Starts at $14000/system CPU.

17. SAS Data Integration Studio

SAS Data Integration Studio is a popular visual design tool for implementing, managing and constructing Data Integration processes. It can do these tasks regardless of the data sources, platforms, or applications used. It features a multi-user, easy-to-manage environment for large business projects with recurring procedures.

Key Features:

• You can visualize, display, and interpret metadata using its configurable metadata tree.

• It shows how to distribute Data Integration duties across any platform and connect to any destination data storage or source remotely.

• It provides a specialized GUI for data profiling, making it easier to fix source system issues while keeping the business concerns for use in any Data Management process.

Cost:

Request the sales team for a quote.

18. SAP BusinessObjects Data Integrator

SAP BusinessObjects Data Integrator is a Data Integration and ETL platform that lets you extract data from any source, convert it, integrate it, and prepare it for any target database. This tool is designed to extract and manipulate data. This program also comes with a collection of simple commands for cleaning up and documenting your data.

Key Features:

• Batch tasks may be executed, scheduled, and monitored using SAP BusinessObjects Data Integrator.

• This program may also be used to create any form of Data Mart or Data Warehouse.

• It supports the Sun Solaris, Windows, AIX, and Linux operating systems.

Cost:

Request a quote from the sales team

19. Skyvia

Skyvia is a cloud platform that provides cloud-to-cloud backup, data access via OData Interface, SQL administration, and data integration without scripting. Skyvia is extremely scalable due to its variable price options for each product, making it suited for a wide range of businesses from large corporations to tiny startups.

Key Features:

• Skyvia gives you the option to keep source data relationships in the destination.

• It also includes duplicate-free data import and bi-directional synchronization.

• Skyvia also provides templates for typical Data Integration situations.

Cost:

Starts free.

20. Scriptella

Scriptella is a script implementation tool and an open-source ETL tool. It's written in Java, and its major goal is simplicity. We may use SQL scripts in this tool to do the essential data modifications. Javascript, Velocity, SQL, and JEXL scripts are all executed.

Key Features:

• It allows users to deal with several data sources in a single ETL file.

• It supports prepared statements, batching, and arguments, among other JDBC capabilities.

• It does not require any setup or deployment.

Cost:

Open Source

21. HPCC Systems

HPCC Systems is a Big data analysis open-source ETL tool. It contains a data refinement engine called "Thor." Thor has ETL features such as data consumption (structured and unstructured), data cleanliness, data profiling, and more. Many people can simultaneously view the Thor refined data using Roxie.

Key Features:

• It delivers shared data machine learning methods.

• It offers free online help in the form of forums, video courses, and comprehensive documentation.

• It has APIs for data integration, preparation, and duplicate checking, among other things.

Cost:

Open Source

22. Apatar

Apatar is an open-source ETL tool that aids business developers and consumers in transferring data across various data formats and sources. It provides developers and end-users with robust and unique data integration.

Key Features:

• It has convenient deployment features like mapping, a visual job designer, and two-way integration.

• It supports MySQL, Oracle, MS Access, and Sybase databases.

• Custom systems, such as source systems, flat files, and FTP logic, are supported.

Cost:

Open Source

23. Clover ETL tool

The Clover ETL tool aids midsize businesses in dealing with complex data management issues. For data-intensive activities, this tool provides a powerful and pleasant environment.

Key Features:

• It's a semi-open-source data transformation tool.

• It is built on a Java framework.

• It combines corporate data from several sources into a single format.

Cost:

Offers a free trial.

24. Stitch

Stitch is the first open-source cloud platform that allows users to migrate data quickly. It is a simple and scalable ETL tool designed for data groups. The following are some key features

Key Features:

• It gives our data pipeline more control and transparency.

• It adds several users throughout our organization.

• By decentralizing data into the user's data infrastructure, it empowers users to analyze, regulate, and safeguard data.

Cost:

Offers a free trial.

25. Rivery

Rivery is a popular ETL tool that provides a completely managed solution for data transformation, orchestration, and other tasks. For obtaining the finest results from large datasets, all data operations are automated and managed.

Key Features:

• Consolidation, transformation, and administration of the diverse data sources are all addressed by the ETL platform.

• Rivery, which is a no-code and trouble-free platform, comes with pre-built data models.

• It assists teams in building customized infrastructure for unique tasks.

Cost:

Starts at $0.75 per RPU credit.

26. FlyData

FlyData, also known as integrate.io is a managed ETL solution that makes syncing data between Snowflake and Redshift a breeze. The data load process is simple to handle, allowing organizations to seamlessly, securely, and continuously convert massive data sets to existing data warehouses.

Key Features:

• Fly Data ETL Tool is a cost-effective tool since it works on a pay-as-you-go basis (the pay-as-you-go model, is a payment method for cloud computing where charges are based on usage).

• For speedier processing, FlyData can duplicate large amounts of data from MySQL, PostgreSQL, Percona, and MariaDB to Snowflake or Amazon Redshift.

• FlyData is a SaaS service for transporting data to Amazon Redshift and Snowflake.

Cost:

Open Source

27. Dataddo

Dataddo is no-code data integration, automation, and transformation solution for any online data provider, such as Google Analytics, Facebook, and Instagram. Dataddo can convert and connect data to a wide range of databases, data warehouses, cloud storage, dashboarding, and business intelligence (BI) applications, allowing for seamless interaction with current IT and BI stacks.

Key Features:

• Because of its easy user interface, even a non-technical person can start and monitor processes using the Dataddo ETL Tool.

• No maintenance is required because the Dataddo team is responsible for any API modifications.

• Dataddo is GDPR and ISO 27001 certified, ensuring great security.

Cost:

Starts at $35.

28. Hevo

Hevo is a fully managed No-code Data Pipeline platform that makes it simple to integrate and load data from 100+ different sources in real-time to any destination. Hevo can be set up in minutes and allows users to load data without losing performance due to its simple learning curve.

Key Features:

• Hevo ETL Tool is virtually totally automated, and it takes only a few minutes to set up and maintain.

• Over 100 connectors with SaaS platforms, files, databases, analytics, and business intelligence technologies are available through Hevo.

• Hevo provides real-time data (RTD): data that is delivered immediately after it is captured.

Cost:

Starts at $0

29. Oracle Data Integrator

In an SOA or BI context, Oracle Data Integrator is a single solution for building, implementing, and maintaining complex data warehouses or data-centric systems. Oracle Data Integrator (ODI) is a graphical interface for developing and managing data integration solutions.

Key Features:

• Oracle Data Integrator is an ETL tool with a commercial license.

• Oracle Data Integrator supports databases such as IBM DB2, Teradata, Sybase, Netezza, and Exadata.

• By re-designing the flow-based interface, the Oracle Data Integrator tool delivers an interactive UI (User Interface) that improves user experience.

Cost: Request a quote from the sales team.

30. Matillion ETL

Matillion ETL software connects to practically any data source, ingests data into major cloud data platforms, and transforms data so it can be utilized by leading analytics and business intelligence tools and synchronized back to the company.

Key Features:

• To link your data sources to major cloud data platforms, you create data pipelines in minutes.

• For BI, data science, and advanced analytics, you can quickly integrate and transform data in the cloud.

• It ensures that all users have simple, accessible, and quick access to data in order to maximize its value.

Cost:

Starts at $2.00

Things to consider while selecting ETL Tools

Usability

Although ETL tools are generally powerful, many of them appear to have been built by very geeky data engineers for super geeky data engineers. One thing to think about is how simple it is to start up a new ETL process or adjust a current one.

Support

No matter how simple a tool is to use, you'll eventually require assistance. And it won't matter to your users whether the tool you choose has a somewhat superior feature set if they can't get crucial work done because your data is failing to process and you don't have the support you need. As a result, a responsible support system is critical.

Built-in Integrations

Instead of requiring weeks or months to connect your data sources, a large portion of your data might be ready in hours or even minutes with the appropriate integrations. Thus built-in integrations make work easier.

Conclusion

This article covered a variety of ETL Tools. I hope this has helped you figure out how to choose your favorite ETL Tools.

FAQs

What are the difficulties with ETL?

The following are some of the most significant ETL testing challenges:

• At times, the comprehensive testbed is unavailable.

• A lack of proper corporate information flow.

• During the ETL procedure, data loss is possible.

• Several confusing software requirements exist.

What is the ETL tool's purpose?

ETL technologies let your data scientists access and analyze data and transform it into business knowledge by breaking down data silos. In brief, ETL tools are the first and most important phase in the data warehousing process, allowing you to make better decisions in less time.

Where does ETL come into play?

ETL can be used to store old data or to aggregate data to evaluate and drive business choices, as is more common nowadays. ETL has been used by businesses for decades. What's different, though, is that both the data sources and the target databases are now going to the cloud.

What methods do you use to cleanse ETL data?

Five Best Practices for Data Cleansing

• Create a data cleansing plan.

• Establish a common mechanism for entering new data.

• Verify data correctness and eliminate duplicates.

• Fill in any missing data gaps.

• In the future, create an automated method.

What is ETL data integration?

ETL stands for extract, transform, and load, and it refers to the three procedures required to combine data from various sources. It's commonly used to build a data warehouse.