ETL Software

Get the best ETL software for your business. Compare product reviews, pricing below. Read our buyer’s guide for more help.

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PowerCenter Screenshot
Informatica’s PowerCenter is a enterprise-level data integration platform. This cloud-based software helps businesses extract and analyze data. PowerCenter lets companies harness the power of data to enable business and IT collaboration. Business and IT…
Client OS
Web
Deployment
Cloud Hosted
Talend Data Fabric Screenshot
Talend Data Fabric
★★★★★
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Talend Data Fabric is a suite of cloud services designed to efficiently handle all your integration and integrity challenges. Collect, govern, transform, and share your data in real-time. The platform is available on-premises or in the cloud, any source…
Client OS
Mac, Web, Windows
Deployment
Cloud or On-Premises
Xplenty Screenshot
Xplenty
★★★★★
★★★★★
(2)
Xplenty is an advanced data integration platform to help businesses design and execute data pipelines. Use the package designer to implement a variety of custom data integration use cases, from simple replication to complex data preparation and…
Client OS
Web, iOS, Android
Deployment
Cloud Hosted
Stitch Screenshot
Stitch
★★★★★
★★★★★
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Stitch, a Talend software, provides simple, extensible ETL services. This is the first cloud-based, open source ETL platform designed for handling rapidly moving data. Get all your data where you want it in minutes. Data volume up to 300M rows/month or…
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Starting Price
$100/month
Client OS
Web
Deployment
Cloud Hosted
Fivetran Screenshot
Fivetran is an analytics solution for simple, reliable data integration. This ETL software integrates with Snowflake, Redshift, BigQuery, Azure, and more. Gain a modern datastack with Fivetran. Pre-built automated connectors to cloud apps, files, and…
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Starting Price
$1
Client OS
Web
Deployment
Cloud Hosted
Panoply Screenshot
Panoply ETL platform lets you sync, store & access all your data in one convenient location. This cloud warehouse offers seamless ETL integrations for top-tier data infrastructure without writing any code. Use Panoply to power your analytics and connect…
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Starting Price
$200/month
Client OS
Web
Deployment
Cloud Hosted
Alooma Screenshot
Alooma is an enterprise data pipeline platform for bringing all your data sources together into BigQuery. This software provides real-time ETL at scale. Alooma has you covered as the world’s most powerful data integration platform. Any integration with…
Client OS
Web
Deployment
Cloud Hosted
Etleap Screenshot
Etleap is a cloud-based platform for data warehousing and pipeline integration. This platform connects to your Redshift or Snowflake database to create a unified, accessible, secure, and high-performance data warehouse in less time than it takes to write…
Client OS
Web
Deployment
Cloud Hosted
Datorama Screenshot
Until now, it’s been impossible to capitalize on all your data at the point of decision, in real time. Marketing data moves too fast and it’s too varied. There’s so much of it, you can’t be sure it’s accurate or relevant. Our Marketing Integration Engine…
Client OS
Deployment
Cloud Hosted
Blendo Screenshot
Blendo is a leading ETL and data pipeline platform. Use this software to enable on-time corporate reporting and stay informed about decisions by earning back time and resources for your data team. With Blendo, you can build a comprehensive data…
Price Range
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Starting Price
$150/month
Client OS
Web
Deployment
Cloud Hosted

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ETL Software Buyer’s Guide

What is ETL Software?

ETL software (extract, transform, and load software) is a way of moving and storing data from one source to another. One of the most prominent business intelligence (BI) tools and data warehousing solutions, ETL software focuses on loading and sanitizing data from different sources through three primary functions:

  • Extract: Remove data from homogeneous or heterogeneous data sources
  • Transform: “Clean” data by providing proper formatting
  • Load: Add the data into a data warehouse or similar storage structure

By using ETL software, businesses can take raw data from a variety of sources and provide it with a usable format. This contextualized data can then be used by other BI tools for in-depth analysis of your business processes. Or the historical data can simply be stored for future reference in:

  • Data warehouses
  • Databases
  • Data lakes

ETL tools have many valuable automation features for helping businesses extract, transform and load data faster than ever before. Automate your data management by implementing an ETL software at your business.

Note: ETL solutions are sometimes referred to interchangeable as ELT. This type of software is incredibly similar, though it changes the order of extract, transform, and load to extract, load, and transform.

  • Data cleaning and quality control: Provide proper formatting to raw data and prevent errors from duplication
  • Data integration: Gain a unified view of data originally taken from different sources
  • Data transformation: Convert extracted data from one format to another
  • Batch processing: Move data en masse from one location to another with automated data migration
  • Metadata management: Define how data is formatted and stored in different types of databases, whether Structured Query Language (SQL) or non-Structured Query Language (NoSQL)
  • Non-relational data transformations: Adapt data with new formatting based on your own parameters to offer NoSQL database compatibility
  • Data analysis: Review processed historical data to identify trends or find areas of improvement in your business processes
Talend Data Fabric Software
Talend Data Fabric lets you build datasets.

Best ETL Software Benefits

There are several benefits to using an ETL software at your business. Learn some of the best advantages now:

Automated Data Migration

Manual data migration is incredibly time consuming. Automated data migration is possible with ETL software’s batch processing tools. Thanks to a wide variety of data connectors, data can be pulled from compatible software for:

Raw data can still be manually entered into ETL software and then automatically consolidated for easier processing. This can drastically speed up data entry tasks which once took hours or days to complete. Instead, automating the process means you can go right from data collection to the next step.

Additionally, automating the data extraction process may also reduce mistakes caused by human error from manual data entry. An ETL software can improve the accuracy of your data migration.

Xplenty Software
Use Xplenty to build custom data connections.

Format Raw Data for Easier Integration

Data is one of the most valuable commodities companies can use when trying to understand what works and what doesn’t in their business operations. However, data alone is nearly impossible to decipher in a raw format. It needs to be formatted in order to provide valuable context. ETL software “cleans” data through transformation into a comprehensive format.

For example, if your company works with partners in different countries, each may have a unique method for recording business metrics. If your office is trying to analyze this data all together, you’ll need everything in one format to avoid possible duplication or miscommunication. Consider revenue: each country you work with has a different form of currency. If you only took the total numbers from the raw data, you’d lose the context of costs in relation to the exchange rate. ETL software helps you determine the actual currency values to stay consistent with the rest of your localized data.

After raw data is transformed into proper formatting and stored in a data warehouse, it’s ready to be used by other BI tools for analysis. This information can then be used to build reports to show past performance, possible trends, and opportunities for improvement. Easy-to-use drag-and-drop features further ease your ETL processes.

Real-time and Batch Data Capabilities

There are two primary types of ETL software: real-time ETL or batch ETL. The former works faster to provide a shorter turnaround time between the initial data extraction and final load. your Batch data, on the other hand, is to streamline any bulk or big data extraction and transformation you may need.

There are some ETL solutions which provide both real-time and batch operations. Combined with data visualization software, you can then analyze and report on bulk data instantaneously. Whether you need a software with batch processing, real-time results, or both, an ETL software can streamline your data pipeline.

SQL vs NoSQL Data Warehouses

The final step for extracted and transformed data is to be loaded into a relational or non-relational data warehouse. The exact setup of the ETL platform you use will depend on the data schema you prefer and your data quality requirements.

There are two main types of data storage: Structured Query Language (SQL) or non-Structured Query Language (NoSQL):

  • SQL databases are made for handling data in relational database management systems (RDBMS) or relational data stream management systems (RDSMS). Essentially, both of these systems are ideal for handling highly structured data.
  • NoSQL databases offer more storage options for big data which needs more complex retrieval procedures, such as multiple queries or nesting data. These non-relational databases are more scalable to accommodate more complex data models.

Whichever database you use, ETL software can prepare and store the data correctly. Business users, even with limited technical experience, can easily retrieve data from either style platform using set queries.

Informatica PowerCenter
Analyze data from new projects with Informatica PowerCenter.

On-Premise vs Cloud ETL

ETL software is available for on-premise or cloud-based deployment. Companies concerned about data security prefer using in-premise solutions in order to keep their information within their own controlled system. A cloud-data warehouse, however, offers some more freedom for sharing data instantaneously. This is particularly useful for corporations with global operations which all need simultaneous access to databases and data warehouses.

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