11 Best Data Transformation Tools in 2023

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The Beginner's Guide to Data Transformation

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The Beginner's Guide to Data Transformation

In the era of data-driven decision-making, data transformation tools have become indispensable. They help businesses convert raw data into meaningful insights, facilitating informed decision-making.

Data transformation involves changing the format or structure of information from one form  to another

In this article we are covering a brief summary of the top 11 data transformation tools: each with its own set of features and benefits to meet your businss needs and data preparation requirements, including their advantages, weak points and how they can impact your business.

What is Data Transformation

Data transformation involves changing the format or structure of information from one form to another. This process is a crucial part of data integration and is often performed through ETL (Extract, Transform, Load) operations.

Data transformation can involve various operations such as data cleaning, data aggregating, and integrating data. The goal is to prepare data in a way that can be used for further processes like data analysis, data visualization, or machine learning, among others.

Benefits of Data Transformation

Data transformation offers a number of benefits, including:

  1. You can merge data from multiple sources, simplifying the analysis process and allowing better insights.
  2. It enhances data quality by cleaning and standardizing data, reducing inaccuracies and inconsistencies.
  3. It facilitates data compatibility, ensuring data from different sources can interact seamlessly.
  4. Furthermore, it aids in regulatory compliance by transforming data into required formats. Lastly, it empowers businesses to make data-driven decisions, leading to improved operational efficiency and strategic planning.

Top 11 Data Transformation Tools

The top 11 data transformation tools in 2023 are listed below:



OWOX BI is an all-in-one analytics platform that offers robust data transformation capabilities. Businesses can utilize this platform to automate the collection of data from multiple sources into a data warehouse for further analysis. OWOX BI supports a wide range of data sources, including Google Ads, Facebook, marketing & sales platforms, on-site analytics tools, CRM systems, and much more.

With its intuitive interface and robust BI pipeline, this platform provides real-time data updates that ensure your information is always up-to-date and accurate. Additionally, it offers powerful data modeling features that allow you to create custom reports and dashboards for visualizing your data and gaining valuable insights.

In terms of security, OWOX BI ensures that your data is protected with encryption both in transit and at rest. Your data is handled responsibly and in compliance with GDPR and other data protection regulations.

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OWOX BI offers several advantages. It supports a wide range of data sources, enabling comprehensive data integration. The platform provides real-time data updates, ensuring accurate and timely insights. Its user-friendly interface and Smart Data feature make data analysis accessible to non-technical users.

Pros of OWOX BI

  • Supports a wide range of data sources.
  • Provides real-time, accurate insights.
  • Accessible to non-technical users.
  • Advanced custom reporting and visualization.
  • Ensures data security and compliance.



DBT (Data Build Tool) is an open-source command-line tool that enables data analysts and engineers to transform data in their warehouses more efficiently. It is particularly useful for teams that rely heavily on analytics, as it allows them to build, test, and deploy analytic code from their local machines.

Pros of DBT

  • Uses SQL for data transformations.
  • Supports version control and testing.
  • Allows work from local machines.
  • Strong community support.

Cons of DBT

  • Requires advanced SQL knowledge and Python skills.
  • Lacks a graphical user interface.
  • Setup for version control and testing might be complex.
  • Lack of support compared to commercial tools.



Dataform is a data transformation tool that enables teams to manage and organize their data in BigQuery, Snowflake, and Redshift. It allows users to develop SQL workflows, automate data quality testing, and manage data documentation in a single, centralized platform. Dataform supports version control, making it easier for teams to collaborate and maintain their data transformation workflows.

Pros of Dataform

  • Supports SQL workflows.
  • Central hub for data workflows, testing, and documentation.
  • Web-based environment eliminates setup needs.
  • Supports popular data warehouses.

Cons of Dataform

  • Requires SQL knowledge.
  • Might not support specific data sources.
  • Lacks advanced features like visualization and reporting.
  • Might lack extensive community support.



Whatagraph is a marketing performance reporting tool that automates the process of data collection and transformation from various marketing channels. It supports a wide range of data sources, including Google Analytics, Facebook, Instagram, LinkedIn, and more.

Pros of Whatagraph

  • Supports many marketing data sources.
  • Easy custom report creation.
  • Automated report delivery.
  • White-label reporting for branding.
  • Comprehensive multi-channel reporting.

Cons of Whatagraph

  • Focused mainly on marketing data.
  • Might be complex for beginners.
  • Might be costly for small businesses or startups.

IBM InfoSphere DataStage

IBM InfoSphere DataStage

IBM InfoSphere DataStage is a powerful data integration tool that provides real-time data transfer into data warehouses, data lakes, and more. Built on containers and microservices, it enables easy real-time analytics. DataStage transformations are an essential resource for organizations seeking to enhance and customize their data.

DataStage is available in two versions: DataStage Enterprise and DataStage Enterprise Plus, making it a versatile solution for businesses of any size.

Pros of IBM InfoSphere DataStage

  • Provides real-time data transfer.
  • Supports real-time analytics with its architecture.
  • Enhances data value with transformations.
  • Built-in search and metadata propagation.
  • Highlights errors during compilation.

Cons of IBM InfoSphere DataStage

  • Demands a level of technical know-how.
  • Might not support all data sources.
  • Lacks a user-friendly interface.
  • Might be costly for small businesses.



Datameer provides a cutting-edge toolset for data modeling and transformation, enabling non-coders to participate in the analytic engineering process. By promoting teamwork between citizen data users and engineers, Datameer speeds up the development and delivery of datasets for analytics, machine learning, and reporting. Using Datameer, business teams without prior SQL coding knowledge can create their own datasets within Snowflake via an intuitive no-code visual interface.

Pros of Datameer

  • Fosters collaboration.
  • No-code interface for dataset creation.
  • Speeds up dataset creation for analytics and machine learning.
  • Supports modern data stack management.
  • Focus on self-service.

Cons of Datameer

  • Might require some technical understanding.
  • Lack of data sources.
  • Lack of extensive community support.

SAP Data Service

This powerful ETL platform allows you to easily create applications and jobs for mapping and transforming data. With its high-performance parallel transformation and support for multiple users, SAP Data Services is the perfect solution for turning your data into a valuable resource for business insight. It's a comprehensive tool for data transformation and management.

Pros of SAP Data Service

  • Comprehensive platform for data integration, transformation, and processing.
  • Supports parallel transformation and multi-users.
  • Enables mapping and transforming data.
  • Transforms data into business insights.

Cons of SAP Data Service

  • Demands a level of technical know-how.
  • Might be complex for beginners.
  • Lacks a user-friendly interface.



Informatica PowerCenter is an enterprise tool for extracting, transforming, and loading data into your warehouse. Informatica offers seamless integration with both real-time and batch traditional databases. This enterprise-class tool provides data transformation for any data type, format, size, or level of complexity.

You can easily map it once and deploy it anywhere without any coding required. Additionally, Informatica supports a wide range of industry-standard formats, including ACORD, SWIFT, and HIPAA, making it a versatile solution for data integration and transformation.

Pros of Informatica

  • Supports various traditional databases.
  • Provides transformation for any data type and format.
  • Supports industry-standard formats.
  • Map once and deploy anywhere without coding.

Cons of Informatica

  • Calls for a background in technical proficiency.
  • Lacks a user-friendly interface.


Talend is a tool used for integrating big data and cloud data. It is capable of handling huge amounts of data and performing advanced data analytics. Talend is in partnership with popular cloud service providers, data warehouses, and analytics platforms such as Google BigQuery, Amazon Web Services (AWS), Snowflake, and others. It provides a unified platform that can integrate data across different environments like public, private, hybrid cloud, and on-premises. Talend is an adaptable and versatile tool that is suitable for modern data environments.

Pros of Talend

  • Scales massive volumes of data.
  • Partners with leading cloud service providers.
  • Unified platform for data integration.
  • Extensive community support.

Cons of Talend

  • Requires a steep learning curve, especially for beginners.
  • The interface might not be as intuitive as some other tools.
  • Integration with certain platforms can be challenging.

Hevo Data

Hevo Data

Hevo Data is a no-code data pipeline platform that helps businesses integrate, clean, enrich, and bring together data from various data sources to their data warehouse. It supports over 100 pre-built integrations across databases, SaaS applications, cloud storage, SDKs, and streaming services.

Hevo Data provides real-time data transfer, ensuring that your data is always current and accurate. It also offers features like schema management, data transformation, and data modeling. It's a comprehensive tool for data integration and transformation.

Pros of Hevo Data

  • No-code platform.
  • Real-time data transfer.
  • Schema management, data transformation, and modeling.

Cons of Hevo Data

  • Lacks certain advanced features like in-depth visualization and reporting.
  • Some users find the pricing model to be on the higher side.
  • Limited native connectors compared to other tools.



Matillion is a cloud-native data integration platform that enables businesses to transform their data into insights quickly. It offers a simple, graphical interface where users can design complex data transformation jobs without writing any code.

Pros of Matillion

  • Suitable for cloud-based data environments.
  • Graphical interface for complex data transformation.
  • Features like data replication, transformation, and orchestration.

Cons of Matillion

  • Can be complex for users without a technical background.
  • The user interface, though powerful, can be overwhelming for some.
  • Scalability can sometimes be an issue for very large datasets.
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  • Why do you need data transformation?

    Data transformation is crucial for preparing data for further processes like data analysis, data visualization, and machine learning. It enables businesses to integrate data from various sources, enhances data quality, facilitates data compatibility, aids in regulatory compliance, and empowers businesses to make data-driven decisions, leading to improved operational efficiency and strategic planning.
  • What is the best data transformation tool?

    The best data transformation tool depends on your specific needs and requirements. However, OWOX BI is a top contender due to its comprehensive features, user-friendly interface, real-time data updates, advanced data modeling capabilities, and high data security. It supports a wide range of data sources, making it a versatile tool.
  • What tools are used for data transformation?

    Data transformation tools help convert data from one format or structure to another. Some of the top tools used for data transformation in 2023 include OWOX BI, DBT, Dataform, Whatagraph, IBM InfoSphere DataStage, Datameer, SAP Data Service, Informatica – PowerCenter, Talend, Hevo Data, and Matillion.

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The Beginner's Guide to Data Transformation

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The Beginner's Guide to Data Transformation