October 27, 2022

11 Best Data Transformation Tools In 2023

Data transformation pertains to the process of converting data from a certain format to another format, usually from a source system’s format into a destination system’s required format. Data transformation is a major component of most data integration and management tasks, including data wrangling and warehousing.

For you to triumphantly carry out this process, you need to use the right tools. In this rundown, we will take a good look at 11 of the best data transformation tools you can utilize. Let us get started.

Top 11 Data Transformation Tools On The Market 

1. AWS Glue

AWS Glue is one of today’s best data transformation tools. This tool helps look for, process, and combine data for further analytics.

Since AWS Glue is part of Amazon Web Services’ or AWS’ suite of services, it integrates well with other AWS offerings, such as Amazon RDS, Amazon S3, Amazon Redshift, and Amazon Athena.

Furthermore, this data transformation tool is also serverless, so users need not worry about overhead infrastructure. They only need to pay for the resources they will consume.

2. Einblick

Second, on our list is Einblick. Inarguable, this is one of the best data transformation tools available around today. This new code-optional platform changes how you work with data and shortens the time to insight. A Massachusetts-based startup, Einblick is also an interactive analytics whiteboard that lets you visually analyze your data, create models, and arrive at data-driven choices as a group.

Not only can you explore, clean, and manipulate your data on such a novel interface, but it also makes way for collaboration with stakeholders. Furthermore, Einblick has also simplified machine learning and allows you to abstract repetitive tasks to get to your answers faster. It covers various data formats, such as Snowflake, S3 buckets, and CSV files.

As for Einblick’s pricing is very affordable and has a free tier if you want to see how it works before investing your money in it.

3. Azure Data Factory

On the other hand, Azure Data Factory helps in the cleansing, merging, and formatting of enterprise data at scale.

It is likewise a serverless tool that allows you to visually integrate sources of data using its more than 90 built-in connectors. In this way, while writing your own code, you can also choose either to design ETL or design ELT pipelines and let Data Factory automatically generate the code.

Top compliance bodies like HIPAA and HITECH, CSA STAR, and ISO/IEC 27001 have certified Azure Data Factory.

4. dbt

Third on this list of the best data transformation tools is dbt. This helps you transform, test, and document your data from a variety of sources, including data lakes, lake houses, and warehouses. Additionally, dbt also provides support adapters for various technologies, including Redshift, Bigquery, Postgres, SQL Server, and so much more.

However, dbt can only do the T in ELT, so it is not capable of extracting or loading data. It only transforms data already loaded in your warehouse.

Nevertheless, dbt provides version control, logging, testing, and alerting to simplify governance. This tool complies with ISO 27001:2013, SOC2 Type II, ISO 27701:2019, HIPAA, and PCI.

5. Denodo Platform

Up next is Denodo Platform. This tool is created for logical data fabric, including active data catalog, automated cloud infrastructure management, smart querying, and a whole lot more.

Denodo Platform allows users to connect disparate data from different sources, letting them set up transformation according to their needs and prepare the data in real-time.

Moreover, it also provides customized training programs for every role in their data teams, including admins, architects, developers, and business users.

6. Domo

Meanwhile, Domo allows you to integrate data from different sources with its over 1,000 pre-built cloud connectors, saving time and cutting engineering costs. It also provides on-premise connectors and connections to proprietary systems.

Using Domo, you can transform data and query them, set up pipelines, and use them to drive analytics, data science, and BI, after integrating these data. Domo is compliant with HIPAA, GDPR, ISO, and SOC 1/2 standards.

7. FME

If you have geospatial data, use FME, as this data transformation tool offers support for these data. It lets you discover, profile, and map the data so that you can set up workflows.

It also provides various transformers to extract HTML, connect with different data sources, update or delete databases, and more. These transformers work as building blocks of your workflow, allowing you to modify data according to your requirements.

8. Hevo

On the other hand, Hevo is a data transformation tool well-loved by several organizations because of its capability to help set up data transformation pipelines in within minutes without the need for coding.

It supports over 100 ready-to-use database integrations, streaming services, cloud-based applications, and so much more. Furthermore, it can handle millions of records per minute without needing latency. This makes it easier for users to scale their pipelines based on their needs.

Setting up a pipeline will not be too tricky since once they have selected their data source, added their credentials, and chosen the destination warehouse where to load data, Hevo takes charge of building the data flows automatically.

9. Informatica’s Cloud Data Integration For Cloud ETL And ELT

Informatica is known to provide high-quality and cost-effective solutions for your every data transformation need.

With its cloud data integration suite, you can conduct mass data integration across various sources, integrate applications in real-time, and build pipelines without thinking about the overall infrastructure.

This tool is capable of handling ETL and ELT in a multi-cloud environment. Plus, you can try it for free for 30 days.

10. Matillion

Ninth on our list is Matillion. This tool has data source connectors pre-built for on-premises and cloud databases, APIs, NoSQL sources, business apps, and so much more. Users can set up custom connectors so they can simply data extraction from different sources.

It provides an easy-to-use drag-and-drop interface that makes it simpler to create complex data transformations without the coding skills needed.

Not only those, Matallion also uses the NIST framework for data integrity, confidentiality, and availability. It likewise complies with industry standards and regulations such as HIPAA, SOC Type II, STAR, CSA, CCPA, and GDPR.

11. Nexla

Last but not least is Nexla. This tool makes it easier to integrate data from literally anywhere and transform them into ready-to-use formats.

It paves the way for self-service data preparation, wherein users do not need to rely on engineering to set up data pipelines or track lineage because of its no-code interface. It also provides an extensive library of transformation functions to help even the common business users manage data transformation.

How To Choose The Right Data Transformation Tool

In this article, you were able to learn about some of today’s best data transformation tools available. You can use any of these tools according to how you need them.

When it comes to shopping for the right data transformation tool, you may adopt what most organizations are doing. Organizations pick their data transformation tools based on what can offer secure data transformation, enrichment, and cleansing at a reasonable price.

About the author 

Peter Hatch

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