Decisions today need to be data driven. That\u2019s why many companies turn to ETL tools to collect data from their different sources and transform them into usable format. In this blog post, we highlight 10 of the best ETL tools in the market today.<\/p>\n\n\n\n
ETL stands for\u00a0Extract<\/em>,\u00a0Transform<\/em>, and\u00a0Load<\/em>. It is a process commonly used in data integration and data warehousing to extract data from various sources, transform it into a single, consistent and suitable format, and load it into a target system or data repository.<\/p>\n\n\n\n 1. Extract<\/em>: In the extraction phase, data is gathered and retrieved from multiple sources, such as databases, files, APIs, or web services. The goal is to extract the relevant data needed for analysis or storage. <\/p>\n\n\n\n 2. Transform<\/em>: Once the data is extracted, it often requires transformation to meet the desired format, quality, and structure. Transformation involves cleaning, validating, standardizing, and enriching the data. It may include tasks like data cleansing, data aggregation<\/a>, data filtering, data validation, data normalization, and data enrichment. <\/p>\n\n\n\n 3. Load<\/em>: The final step is to load the transformed data into a target system or data repository, such as a data warehouse, data mart, or operational database. This involves mapping the transformed data to the appropriate target schema and performing the actual loading process. <\/p>\n\n\n\n The ETL process is crucial for data integration and consolidation from diverse sources into a unified and consistent format. It enables organizations to extract data from different systems, transform it into a usable format, and load it into a centralized repository for analysis, reporting, and decision-making purposes, and thus limiting\u00a0dirty data<\/a>. ETL workflows can be automated using specialized tools and technologies to handle large volumes of data efficiently and reliably.<\/p>\n\n\n\n ETL tools are software that extract data from different systems, transform it into a usable format, and load it into a centralized repository for analysis, reporting, and decision-making purpose. Specialized ETL tools can automate workflows to handle large volumes of data efficiently and reliably. <\/p>\n\n\n\n When evaluating an Extract, Transform & Load tool, you should first guarantee that the product will support your specific use case, as every company has different needs and requirements. Additionally, you also want to see how your top choices stack up with each other on the below to get the most ROI: <\/p>\n\n\n\n Budget <\/strong>\u2013 make sure you get the full total cost of ownership of the ETL vendor you choose. Some offer pay-per-use or pay-as-you-go models, while others are more transactional-based. <\/p>\n\n\n\n Security <\/strong>\u2013 in a digital world where cybercrime is constantly on the rise, checking security measures from ETL vendors is critical. <\/p>\n\n\n\n Data sources <\/strong>\u2013 Can the product extract the data from where it lives (on-premise or in the cloud)? Look at your preferred vendors\u2019 list of connectors to evaluate that it can extract from your data sources and is suitable to the data formats, structured or unstructured, that you require. <\/p>\n\n\n\n Velocity<\/strong>\u00a0\u2013 Depending on your business, you may have a greater need for a tool that can handle a fast-growing volume and complexity of data.<\/p>\n\n\n\n Below you will find a list of some of the best ETL tools available in the market today. Please note that the ETL tools list is not in any ranking order.<\/p>\n\n\n\n G2 rating<\/a>: 4.4 out of 5\u00a0<\/p>\n\n\n\n Informatica PowerCenter is an ETL tool that offers a wide range of features such as monitoring, repository management and workflow design. As an Extract, Transform and Load product, it enables enterprises to scale as they meet an increase in data volumes and complexity.<\/p>\n\n\n\n G2 rating<\/a>: 4.0 out of 5\u00a0<\/p>\n\n\n\n Oracle Data Integrator is a high-performance Bulk Data Management and Data Transformation service. It is an ELT, rather than ETL tool, meaning it reduces intermediate server needs and loading speed as the data is loaded directly into the target system.<\/p>\n\n\n\n G2 rating<\/a>: 4.2 out of 5\u00a0<\/p>\n\n\n\n Fivetran is an automated data movement platform that support ELT processes. Connect to 300+ pre-built, no-code source connectors to move data to target destinations.<\/p>\n\n\n\n G2 rating<\/a>: 4.2 out 5\u00a0<\/p>\n\n\n\n AWS is a serverless data integration service that connects to 70+ diverse data sources that is considered one of the top ETL tools on the market. With their graphical user interface, you can build and monitor your ETL pipelines via drag-and-drop, writing code, or connecting your notebook.<\/p>\n\n\n\n G2 rating<\/a>: 4.5 out of 5\u00a0<\/p>\n\n\n\n Stitch is a simple yet powerful ETL tool that connects to 140+ data sources with no coding needed, and markets itself for businesses of all sizes. It enables users to create zero-maintenance data pipelines in a matter of minutes. <\/p>\n\n\n\n G2 rating<\/a>: 4.3 out of 5<\/p>\n\n\n\n Pentaho Data Integration is a no-code ETL tool that allows customers to accelerate their digital transformation by easily preparing, building, deploying, and analyzing growing volumes of data in an orchestration tool.<\/p>\n\n\n\n G2 rating<\/a>: 4.2 out 5\u00a0<\/p>\n\n\n\n Google Dataflow is a serverless, unified stream and batch data processing service that enables customers to transform and enrich data, in real time or historical.\u00a0 The tool offers automated provisioning and management of processing resources.<\/p>\n\n\n\n G2 rating<\/a>: 4.3 out of 5\u00a0<\/p>\n\n\n\n Integrate.io is an ETL tool that connects 150+ data sources and destinations through a unified no-code data integration platform that supports your entire data journey. Integrate.io allows yout bo build your ETL data pipeline via a drag and drop interface and claims to have the fastest data replication in the industry, for a single source of reporting truth.<\/p>\n\n\n\n <\/p>\n\n\n\n G2 rating<\/a>: 4.5 out of 5 <\/p>\n\n\n\n Azure Data Factory is a serverless data integration service that allows customers to simplify hybrid data integration at an enterprise scale. It has 90+ built-in connectors to integrate data sources with and allows users to build ETL and ELT pipelines, code-free.<\/p>\n\n\n\nThe Three Steps of the ETL Process:\u00a0\u00a0<\/h3>\n\n\n\n
What Are ETL Tools? <\/h2>\n\n\n\n
How to Evaluate ETL Tools <\/h2>\n\n\n\n
The Best ETL Tools \u2013 full list<\/h2>\n\n\n\n
Informatica PowerCenter<\/h3>\n\n\n\n
Oracle Data Integrator<\/strong><\/h3>\n\n\n\n
Fivetran<\/h3>\n\n\n\n
AWS Glue<\/h3>\n\n\n\n
Stitch<\/h3>\n\n\n\n
Pentaho Data Integration<\/h3>\n\n\n\n
Google Cloud Dataflow<\/h3>\n\n\n\n
Integrate.io<\/h3>\n\n\n\n
Azure Data Factory\u00a0<\/h3>\n\n\n\n
IBM Cloud Pak for Integration<\/strong><\/h3>\n\n\n\n