List Of The Best Open Source ETL Tools

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List Of The Best Open Source ETL Tools- ETL stands for Extract, Transform and Load. It is the process of extracting data from various data sources and transforming it into a suitable format for storage and future reference.

The data is then loaded into the database. The word ‘data’ is highly important in today’s technology era because most businesses revolve on data, data flow, data format, and so on. Modern applications and working methodologies necessitate real-time data for processing, and many ETL technologies are available on the market to meet this need.

Using databases and ETL technologies like these makes data administration more easier while also improving data warehousing.

The ETL systems that are currently available on the market save a significant amount of money and time. Some are commercially licenced tools, while others are open-source and free.

Most Popular ETL Tools In The Market 

Given below is the list of the best open source and commercial ETL software systems with the comparison details.

Hevo – Recommended ETL Tool

Hevo, a No-code Data Pipeline platform, can let you move data in real-time from any source (databases, cloud applications, SDKs, and Streaming).

Key Features:

  • Hevo is simple to set up and use, and it can be up and running in a matter of minutes.
  • Hevo’s sophisticated algorithms can automatically determine the schema of incoming data and reproduce it in the data warehouse without the need for any intervention.
  • Hevo is built on a real-time streaming architecture, which ensures that data is loaded into your warehouse in real-time.
  • Hevo’s robust ETL and ELT tools allow you to clean, convert, and enrich your data both before and after it is moved to the warehouse. This guarantees that you always have data that is ready for analysis.
  • GDPR, SOC II, and HIPAA compliance: Hevo is GDPR, SOC II, and HIPAA compliant.
  • Hevo delivers detailed warnings and granular monitoring so that you can stay on top of your data at all times.


Xplenty is a cloud-based ETL system that provides easy-to-understand data pipelines for automated data flows from a variety of sources and destinations.

Customers can clean, standardise, and convert their data while complying to compliance best practises thanks to the company’s sophisticated on-platform transformation tools.

Key Features:

  • Data should be centralised and prepared for BI.
  • Transfer data between internal databases or data warehouses and change it.
  • Send additional third-party data straight to Salesforce or to Heroku Postgres (and then to Salesforce via Heroku Connect).
  • The sole Salesforce to Salesforce ETL tool is Xplenty.
  • Finally, Xplenty has a Rest API connection that allows you to retrieve data from any Rest API.


Devart developed Skyvia, a cloud data platform enabling no-coding data integration, backup, management, and access. With over 40 000 satisfied clients and two R&D departments, Devart is a well-known and trusted provider of data access solutions, database tools, development tools, and other software products.

Skyvia provides an ETL solution with support for CSV files, databases (SQL Server, Oracle, PostgreSQL, MySQL), cloud data warehouses (Amazon Redshift, Google BigQuery), and cloud applications for diverse data integration scenarios (Salesforce, HubSpot, Dynamics CRM, and many others).

A cloud data backup tool, an online SQL client, and an OData server-as-a-service solution are also included.

Key Features:

  • Skyvia is a subscription-based cloud service that offers free plans.
  • Integration configuration using a wizard-based, no-coding approach does not necessitate a lot of technical understanding.
  • For data transformations, advanced mapping settings with constants, lookups, and powerful expressions are available.
  • Scheduled integration automation.
  • The ability to maintain source data relationships in the target.
  • Importing without duplicates is a must.
  • Synchronization in both directions.
  • Templates for common integration scenarios.

IRI Voracity 

Voracity is a cloud-enabled ETL and data management platform best recognised for its underlying CoSort engine’s ‘affordable speed-in-volume’ value, as well as the deep data discovery, integration, migration, governance, and analytics tools built-in and on Eclipse.

As a ‘production analytic platform,’ Voracity supports hundreds of data sources and feeds BI and visualisation targets directly.

Users of Voracity can create real-time or batch processes that integrate already-optimized E, T, and L procedures, or they can utilise the platform to “speed or leave” an existing ETL product like Informatica for performance or cost reasons. Voracity’s speed is comparable to Ab Initio’s, but its price is comparable to Pentaho’s.

Key Features:

  • Connectors for structured, semi-structured, and unstructured data, as well as static and streaming data, historical and modern systems, and on-premise and cloud environments.
  • Multiple transforms, data quality, and masking functions specified together in a task- and IO-consolidated data manipulation.
  • Transformations powered by the IRI CoSort engine, which is multi-threaded and resource-optimizing, or in MR2, Spark, Spark Stream, Storm, or Tez.
  • Pre-sorted bulk loads, test tables, custom-formatted files, pipelines and URLs, NoSQL collections, and other targets can all be defined at the same time.
  • Data mappings and migrations can change the endianness of fields, records, files, and tables, and add surrogate keys, among other things.
  • ETL, subsetting, replication, change data capture, slowly changing dimensions, test data generation, and more wizards are built-in.
  • Find, filter, unify, replace, validate, regulate, standardise, and synthesise values using data cleansing functionality and rules.
  • Same-pass reporting, data wrangling (for Cognos, Qlik, R, Tableau, Spotfire, and other platforms), or analytics integration with Splunk and KNIME.
  • Job design, scheduling, and deployment choices are all robust, with metadata management facilitated by Git and IAM.
  • Erwin Mapping Manager (to convert legacy ETL tasks) and the Metadata Integration Model Bridge have metadata compatibility.
  • Voracity is not open source, but when numerous engines are required, it is less expensive than Talend. Support, documentation, and an infinite number of clients and data sources are all included in the subscription fees, and perpetual and runtime licence options are also available. is a scalable and effective data extraction system that assists businesses in converting unstructured data into structured data assets. It facilitates the extraction of PDFs, documents, emails, web pages, and internal systems.

We assist you extract relevant data from any unstructured form using sophisticated machine learning models and human-in-the-loop techniques so you can make informed business decisions and improve customer satisfaction.

Key Features:

  • Extracts crucial data points from pdfs, emails, faxes, social media, and more, including invoice number, date, and purchase details.
  • Use pre-configured custom workflows to automate the extraction process.
  • Extracts key financial data from PDFs, corporate filings, balance sheets, annual reports, and other sources to aid in investing decisions.
  • ML models and NLP techniques can be used to annotate and tag items.
  • Bots may automatically extract, enrich, and purify data.
  • Extract real-time prices and product data from numerous Ecommerce sites for any number of SKUs.
  • Extract data from emails automatically and connect it into your CRM, ERP, and SCM systems.
  • Analyze client sentiments by using social media, networking sites, and forums to gather context-rich information.
  • Data can be extracted in bulk and saved in a variety of formats, including spreadsheets, Excel, and CSV.
  • Extract vital information from numerous data warehouses, apps, and content repositories to improve data accessibility.


Dataddo is a cloud-based ETL platform that offers fully flexible data integration to both expert and non-technical users. With a large selection of connections and fully customizable metrics, Dataddo simplifies the process of building data pipelines.

Dataddo integrates with your existing data architecture and adapts to your existing workflows. Its quick setup and intuitive interface let you to focus on integrating your data, while fully-managed APIs eliminate the need for ongoing pipeline maintenance.

Key Features:

  • With a basic user interface, it is suitable for non-technical users.
  • Data pipelines can be deployed in minutes after an account is created.
  • Plugs into users’ existing data stacks with ease.
  • API modifications are managed by the Dataddo team and require no maintenance.
  • Within 10 days of receiving a request, new connectors can be added.
  • GDPR, SOC2, and ISO 27001 compliance are all available.
  • When creating sources, you may choose from a variety of properties and metrics.
  • Dataddo’s platform allows you to mix and match data sources.
  • A central management system is used to keep track of the status of all data pipelines at the same time.

DBConvert Studio By SLOTIX s.r.o.

Data ETL solution for on-premise and cloud databases, DBConvert Studio. It extracts, transforms, and loads data across Oracle, MS SQL, MySQL, PostgreSQL, MS FoxPro, SQLite, Firebird, MS Access, DB2, and Amazon RDS, Amazon Aurora, MS Azure SQL, and Google Cloud cloud data, as well as Oracle, MS SQL, MySQL, PostgreSQL, MS FoxPro, SQLite, Firebird, MS Access, DB2.

To fine-tune migration options and start conversion or synchronisation, go to GUI mode. In command line mode, schedule the execution of saved jobs.

First, DBConvert studio establishes many database connections at the same time. The migration/replication process is then tracked using a separate job. Data can be migrated or synchronised in either a one-way or two-way fashion.

It is possible to duplicate the database structure and objects with or without data. To avoid any errors, each object can be examined and changed.

Key Features:

  • DBConvert Studio is an utility with a commercial licence.
  • For testing purposes, a free trial is offered.
  • Data type mapping and automatic schema migration
  • No code is required for the wizard-based manipulation.
  • Use a scheduler or the command line to automate sessions/jobs.
  • Synchronization in one direction only
  • Synchronization in both directions
  • Migration of views and queries.
  • To keep track of the process, it generates migration and synchronisation logs.
  • It has a Bulk option for transferring huge databases.
  • Every element can be converted into a table, field, index, query/view by enabling or disabling the conversion.
  • Before beginning the migration or synchronisation procedure, data validation is possible.

Informatica – PowerCenter

With over 500 global partners and over 1 trillion monthly transactions, Informatica is a market leader in Enterprise Cloud Data Management. It is a software development company based in California, United States, that was founded in 1993. It generates $1.05 billion in revenue and employs roughly 4,000 people.

Informatica created PowerCenter, which is a data integration tool. It facilitates the data integration lifecycle and provides vital data and values to the organisation. For data integration, PowerCenter supports a large volume of data, any data type, and any source.

Key Features:

  • PowerCenter is a tool with a commercial licence.
  • It is an easily accessible tool with simple training modules.
  • Data analysis, application migration, and data warehousing are all supported.
  • Amazon Web Services and Microsoft Azure host PowerCenter, which connects numerous cloud applications.
  • Agile processes are supported by PowerCenter.
  • It can be used in conjunction with other applications.
  • The automatic validation of results or data in the development, testing, and production environments.
  • Jobs can be run and monitored by a non-technical person, lowering costs.

IBM – Infosphere Information Server

IBM is a multinational software corporation headquartered in New York, United States, with offices in more than 170 countries. As of 2016, the company’s sales was $79.91 billion, and it employed 380,000 people.

The IBM Infosphere Information Server is a product that was released in 2008. It is a market leader in the data integration platform, which aids in the understanding and delivery of important business values. It is primarily intended for Big Data and large-scale businesses.

Key Features:

  • It’s a tool with a commercial licence.
  • Infosphere Information Server is a data integration platform that works from start to finish.
  • It’s compatible with Oracle, IBM DB2, and the Hadoop System.
  • SAP is supported through a number of plug-ins.
  • It aids in the development of a data governance plan.
  • It also aids in the automation of company processes for cost-cutting purposes.
  • For all data kinds, real-time data integration across various systems is possible.
  • It can be readily integrated with any IBM-licensed tool.

Oracle Data Integrator 

Oracle is a global American corporation headquartered in California that was founded in 1977. As of 2017, it had a revenue of $37.72 billion and a total workforce of 138,000 people.

Oracle Data Integrator (ODI) is a graphical interface for data integration development and management. This product is ideal for large enterprises that need to migrate frequently. It’s a complete data integration platform that can handle large amounts of data and provide SOA-enabled data services.

Key Features:

  • Oracle Data Integrator is an RTL tool with a commercial licence.
  • The re-design of the flow-based interface improves the user experience.
  • For data transformation and integration, it supports the declarative design approach.
  • Development and maintenance will be faster and easier.
  • Before proceeding inside the target application, it automatically detects and recycles defective data.
  • Databases such as IBM DB2, Teradata, Sybase, Netezza, and Exadata are supported by Oracle Data Integrator.
  • The ETL server is not required because of the E-LT architecture, which saves money.
  • It works in conjunction with other Oracle products to process and convert data using RDBMS capabilities.

Microsoft – SQL Server Integrated Services (SSIS)

Microsoft Corporation is an American multinational corporation headquartered in Washington, D.C., that was founded in 1975. It has a total headcount of 124,000 employees and a revenue of $89.95 billion.

SSIS is a Microsoft software that was created for data migration. Because the data integration and data transformation processes are performed in memory, the data integration is substantially faster. SSIS only supports Microsoft SQL Server because it is a Microsoft product.

Key Features:

  • SSIS is a tool that requires a commercial licence.
  • The SSIS import/export wizard aids in the transfer of data from one location to another.
  • It automates the SQL Server Database’s upkeep.
  • SSIS packages can be edited using a drag-and-drop user interface.
  • Text files and other SQL server instances are examples of data transformation.
  • For writing programming code, SSIS includes an inherent scripting environment.
  • Using plug-ins, it may be integrated with and CRM.
  • The flow has debugging features as well as convenient error management.
  • Change management software such as TFS, GitHub, and others can be connected with SSIS.

Ab Initio 

Ab Initio is a Massachusetts-based private enterprise software company that was founded in 1995 and now has operations in the United Kingdom, Japan, France, Poland, Germany, Singapore, and Australia. Ab Initio specialises in high-volume data processing and application integration.

Co>Operating System, The Component Library, Graphical Development Environment, Enterprise Meta>Environment, Data Profiler, and Conduct>It are six data processing products included. “Ab Initio Co>Operating System” is a drag-and-drop ETL tool with a graphical user interface.

Key Features:

  • Ab Initio is a commercially licenced tool that is also one of the most expensive on the market.
  • The fundamentals of Ab Initio are simple to grasp.
  • The Ab Initio Co>Operating System serves as a general engine for data processing and communication among the tools.
  • For parallel data processing applications, Ab Initio products are given on a user-friendly platform.
  • Parallel processing allows for the processing of massive amounts of data.
  • Windows, Unix, Linux, and Mainframe systems are all supported.
  • It performs batch processing, data analysis, data modification, and other functions.
  • Users who use Ab Initio products must sign a non-disclosure agreement (NDA).

Talend – Talend Open Studio for Data Integration

Talend is a software company established in the United States, founded in 2005 and headquartered in California. It presently employs roughly 600 people.

The company’s initial product, Talend Open Studio for Data Integration, was released in 2006. Data warehousing, migration, and profiling are all supported. It’s a data integration platform that allows you to integrate and monitor your data. Data integration, data management, data preparation, enterprise application integration, and other services are provided by the organisation.

Key Features:

  • Talend is an open source ETL tool that is free to use.
  • It is the first commercial open source data integration software vendor.
  • There are over 900 built-in components for connecting different data sources.
  • Interface that allows you to drag and drop items.
  • The use of GUI and integrated components improves productivity and reduces deployment time.
  • In a cloud environment, it’s simple to set up.
  • Traditional and Big Data can be integrated and transformed into Talend Open Studio.
  • Any technical assistance can be obtained via the internet user community.

CloverDX Data Integration Software

CloverDX assists midsize to enterprise-level businesses in overcoming the world’s most difficult data management difficulties.

With comprehensive developer tools and a scalable automation and orchestration backend, the CloverDX Data Integration Platform provides enterprises with a solid, yet infinitely customizable environment built for data-intensive processes.

CloverDX was founded in 2002 and today boasts a team of over 100 employees, including developers and consulting professionals from a variety of industries. CloverDX works with companies all around the world to help them master their data.

Key Features:

  • CloverDX is a for-profit ETL tool.
  • CloverDX is built on a Java framework.
  • Installation is simple, and the user interface is straightforward.
  • Combines business data from numerous sources into a single format.
  • It is compatible with Windows, Linux, Solaris, AIX, and OSX.
  • Data transformation, data migration, data warehousing, and data cleansing are all done using it.
  • Clover’s developers provide assistance.
  • It aids in the creation of various reports based on data from the source.
  • Rapid prototyping and data-driven development

Pentaho Data Integration

Pentaho is a software company that makes the Pentaho Data Integration (PDI) solution, which is commonly known as Kettle. It is based in Florida, USA, and provides data integration, data mining, and STL capabilities among other services. Hitachi Data System purchased Pentaho in 2015.

Pentaho Data Integration allows users to cleanse and prepare data from a variety of sources, as well as migrate data between apps. The Pentaho business intelligent suite includes PDI, which is an open-source technology.

Key Features:

  • Enterprise and Community editions of PDI are available.
  • The Enterprise platform includes additional components that enhance the Pentaho platform’s capabilities.
  • It’s simple to use as well as to learn and understand.
  • For its implementation, PDI uses the metadata method.
  • Drag and drop features in a user-friendly graphical interface.
  • ETL developers have the ability to construct their own jobs.
  • The common library makes the ETL construction and execution process easier.

Apache Nifi 

The Apache Software Foundation has created Apache Nifi, a software project. The Apache Software Foundation (ASF) was founded in 1999 and is based in Maryland, USA. ASF’s software is provided under the Apache License and is Free and Open Source Software.

Using automation, Apache Nifi makes data flow between diverse systems easier. Processors make up the data flows, and users can construct their own processors. These flows can be saved as templates and then combined with more sophisticated ones later. With no effort, these complex flows may be distributed to several servers.

Key Features:

  • Apache Nifi is a free and open-source project.
  • It’s simple to use and has a lot of capability when it comes to data flow.
  • The user can send, receive, transfer, filter, and move data via data flow.
  • Web-based apps are supported by flow-based programming and a simple user interface.
  • The user interface is tailored to meet unique requirements.
  • Data flow tracing from beginning to end.
  • HTTPS, SSL, SSH, multi-tenant authorisation, and other protocols are supported.
  • Building, updating, and removing various data flows requires minimal manual effort.

SAS – Data Integration Studio 

SAS Data Integration Studio is a graphical user interface that allows you to create and manage data integration workflows.

For the integration process, the data source can be any apps or platforms. A developer may build, plan, run, and monitor jobs utilising its strong transformation logic.

Key Features:

  • It makes the data integration process easier to implement and maintain.
  • A wizard-based interface makes it simple to use.
  • SAS Data Integration Studio is a versatile and dependable solution for responding to and resolving data integration issues.
  • It addresses problems quickly and efficiently, lowering the cost of data integration.

SAP – BusinessObjects Data Integrator

The Data Integrator from BusinessObjects is a data integration and ETL tool. Data Integrator Job Servers and Data Integrator Designer are the two key components. Data unification, data profiling, data auditing, and data cleansing are all steps in the BusinessObjects Data Integration process.

Data can be taken from any source and put into any data warehouse using SAP BusinessObjects Data Integrator.

Key Features:

  • It assists with data integration and loading in an analytical environment.
  • Data Integrator is a tool for creating data warehouses, data marts, and other databases.
  • The web administrator for Data Integrator allows you to manage numerous repositories, metadata, web services, and task servers through a web interface.
  • It aids in the scheduling, execution, and monitoring of batch jobs.
  • It works with Windows, Sun Solaris, AIX, and Linux.

Oracle Warehouse Builder

Oracle has released Oracle Warehouse Builder, an ETL tool (OWB). It’s a graphical interface for creating and managing data integration workflows.

For integration reasons, OWB uses a variety of data sources in the data warehouse. Data profiling, data cleansing, fully integrated data modelling, and data auditing are the main capabilities of OWB. The Oracle database is used by OWB to process data from numerous sources and to link to other third-party databases.

Key Features:

  • OWB is a versatile and comprehensive tool for data integration strategies.
  • It enables users to create and design ETL processes.
  • It accepts 40 different metadata files from different vendors.
  • Flat files, Sybase, SQL Server, Informix, and Oracle Database are all supported as target databases by OWB.
  • Numeric, text, date, and other data kinds are supported by OWB.

Sybase ETL 

In the data integration sector, Sybase is a major player. The Sybase ETL tool was created to load data from various data sources, turn it into data sets, and eventually load it into the data warehouse.

Sub-components of Sybase ETL include Sybase ETL Server and Sybase ETL Development.

Key Features:

  • Data integration can be automated with Sybase ETL.
  • To construct data integration jobs, use a simple GUI.
  • It’s simple to grasp and there’s no need for additional training.
  • The Sybase ETL dashboard gives you a fast overview of where your processes are at.
  • Real-time reporting and more effective decision-making.
  • It is only compatible with the Windows operating system.
  • It reduces the cost, time, and effort required for data integration and extraction.


DB Software Laboratory has released an ETL tool that provides world-class enterprises with an end-to-end data integration solution. The design products from DBSoftlab will aid in the automation of company processes.

A user can view ETL processes at any time using this automated process to see where they are in the process.

Key Features:

  • It’s an ETL tool with a commercial licence.
  • ETL solution that is simple to use and quick.
  • Text, OLE DB, Oracle, SQL Server, XML, Excel, SQLite, MySQL, and other databases are supported.
  • It extracts information from any data source, including emails.
  • Automated business process from beginning to end.


Jaspersoft is a data integration leader that was founded in 1991 and is headquartered in California, USA. It extracts, transforms, and loads data into the data warehouse from a variety of external sources.

The Jaspersoft Business Intelligent suite includes Jaspersoft. Jaspersoft ETL is a high-performance data integration platform featuring ETL features.

Key Features:

  • Jaspersoft ETL is a free and open-source data transformation tool.
  • It includes an activity monitoring dashboard for tracking job execution and performance.
  • It connects to SugarCRM, SAP,, and other applications.
  • It also connects to Hadoop, MongoDB, and other Big Data environments.
  • It has a graphical editor that allows you to inspect and edit ETL operations.
  • The user can create, schedule, and execute data movement, transformation, and other tasks using the GUI.
  • ETL statistic tracking and real-time, end-to-end procedure.
  • Small and medium-sized businesses will benefit from it.


Marketers can use Improvado’s data analytics software to keep all of their data in one location. This marketing ETL platform will allow you to connect marketing API to any visualisation tool with no technical knowledge required.

It can link to more than 100 different types of data sources. It comes with a set of connections that can be used to connect to data sources. You’ll be able to integrate and manage these data sources from a single cloud-based or on-premises platform.

Key Features:

  • It can supply raw or mapped data depending on your needs.
  • It allows you to compare cross-channel metrics to aid in business decisions.
  • It has the ability to alter attribution models.
  • It includes tools for combining Google Analytics and advertising data.
  • Data may be viewed in the Improvado dashboard or in your preferred BI tool.


Matillion is a cloud data warehousing data transformation service. Matillion uses the cloud data warehouse’s power to consolidate large data sets and quickly perform the data transformations required to make your data analytics-ready.

Our system is designed to gather data from a variety of sources, put it into a company’s selected cloud data warehouse, and transform that data from a segregated state into meaningful, joined-together, analytics-ready data at scale.

By releasing the latent potential of their data, the product enables businesses to achieve simplicity, speed, scale, and cost savings. More than 650 customers in 40 countries utilise Matillion’s software, including large organisations like Bose, GE, Siemens, Fox, and Accenture, as well as high-growth data-centric companies like Vistaprint, Splunk, and Zapier.

TrustRadius recently named the company a 2019 Top Rated Award Winner in Data Integration, which is based solely on unbiased feedback from customers’ user satisfaction scores. Matillion also has the highest-rated ETL product on the AWS Marketplace, with 90% of customers saying they’d recommend it.

Key Features:

  • Start developing ETL jobs in minutes after launching the product on your preferred cloud platform.
  • In minutes, load data from a variety of sources using 70+ connectors.
  • Visual orchestration of sophisticated workflows including transactions, decisions, and loops in a low-code / no-code browser-based environment.
  • Create jobs that are parameter-driven and reusable.
  • Create data transformation processes that are self-documenting.
  • ETL jobs should be scheduled and reviewed on a regular basis.
  • For high-performing BI/visualizations, model your data.
  • Billing on a pay-as-you-go basis.

There are a few others on the list:

Information Builders – iWay Software

iWay DataMigrator is a robust data integration and B2B integration tool that streamlines ETL workflows.

It gets information from XML, a Relational Database, and JSON. iWay Data-migrator is compatible with practically all operating systems, including UNIX, Linux, and Windows. It also connects to multiple databases via JDBC and ODBC connection.

Cognos Data Manager

ETL processes and high-performance business intelligence are performed with IBM Cognos Data Manager.

It features a unique multilingual capability that allows it to construct a global data integration platform. IBM Cognos Data Manager is a business process automation tool that runs on Windows, UNIX, and Linux.

QlikView Expressor

The ETL tool QlikView Expressor is basic and easy to learn. It’s now connected to Qlik. Qlik is an ETL and metadata management solution.

Free Desktop Edition, Standard Edition, and Enterprise Edition are the three versions available. QlikView Expressor is made up of three parts: the desktop, the data integration engine, and the repository.

Pervasive Data Integrator

The ETL tool Pervasive Data Integrator. It facilitates the linking of any data source to any application.

It’s a dependable data integration platform that allows for real-time data exchange and migration. The tool’s components are reusable, which means they can be used multiple times.

Apache Airflow

Apache Airflow is in an early stage of development, however it is supported by the Apache Software Foundation (ASF).

Apache Airflow automates the creation, scheduling, and monitoring of workflows. It can also change the scheduler to run jobs only when they are needed.


So far, we’ve looked at the various ETL solutions available on the market in depth. ETL tools have a lot of value in today’s market, and they’re critical for identifying the most efficient extraction, transformation, and loading methods.

Various tools available on the market can assist you in completing the task, but it is dependent on the requirements.

Jennifer Thomas
Jennifer Thomas is the Co-founder and Chief Business Development Officer at Cybers Guards. Prior to that, She was responsible for leading its Cyber Security Practice and Cyber Security Operations Center, which provided managed security services.