Data generation is increasing rapidly, and so is the need to tame this gigantic beast into a usable form — for all business users.
A common methodology used for this purpose is ETL: Extract, Transform and Load. The ETL tools market itself is slated to grow from $8.5 billion in 2019 to $22.3 billion in the next seven years.
The very essence of this revolutionary market is based on a series of trends — from cloud platforms to new forms of data and other types of SaaS-based tools. Depending on the type of data stored within their data warehouse, their resident skill sets, and their budget, organizations can choose between different ETL tools to manage their data manipulation and transformation needs.
Here’s a list of the most prominent ETL tools.
Top 5 ETL Tools
1. Kloudio: Redefining The Power of Spreadsheets
As the name spells out, Kloudio is one of the best cloud-based startups.
Its ETL capabilities offer resourceful tools for data retrieval, reporting, and transformational processes. Each tool is commonly used by business analysts, developers, CEOs, and other members of the corporate fraternity to extract, transform and load data from various data sources into spreadsheets.
Each data integration solution offered by Kloudio gives its users access and the power to update any database, cloud applications, and other repositories from spreadsheets. Yes, that’s right. Sync data between different office applications and databases without having to worry about writing endless pieces of code to do the task.
The latest product update offers the Ad Hoc Query feature, which allows you to run recurring SQL queries to fetch and load data into Google Sheets. Additionally, data engineers can pass off extensive and repetitive queries to business analysis to run and comprehend queries within spreadsheets.
Some Kloudio features include:
- Drag-and-drop to create, filter, and send reports
- Save reports and share them with others to run on your behalf
- Automate existing reports and send them via emails through the use of schedulers
- Use various spreadsheets to define and create templates to move data between data warehouses and reports
2. Informatica PowerCenter: Power Large Organizations Efficiently
Established in 1993, Informatica offers a multitude of integration services, including ETL, iPaaS, API management, and cloud management. Many large-scale organizations use this platform for its multi-varied connection and integration capabilities.
Large organizations tend to look for ETL tools that can access data in the cloud. PowerCenter is one such tool and consists of four primary components, namely:
- Workflow manager
- Repository manager
To complete the ETL process, a data engineer needs to use all of these processes in a structured manner, which can lead to roadblocks. Undeniably, PowerCenter is a complex ETL tool. Data engineers should undergo extensive training and certifications conducted by Informatica University to use this tool.
While talking about Informatica’s suite of products, it wouldn’t be fair to miss Informatica Cloud Data Integration (ICDI). Optimized for app integrations, ICDI caters to many cloud-based APIs as an ETL replacement with its pre-built connectors. This tool is user-friendly and offers basic data transformation capabilities.
ICDI does a decent job with high volume extracting and loading operations; nevertheless, its data transformation capabilities are restricted. If your needs are extensive and ETL requirements are heavier than usual, it’s best to steer away from Informatica’s products.
Informatica PowerCenter is expensive software, whereas ICDI is one of the more economical offerings by Informatica.
3. Talend Open Studio (TOS): Open to The World
Another popular open-source application is the Talend Open Studio data integration software. The company is well known for its range of diversified software services for data integration and management. Considered to be a dominant force in the ETL tools market for Big Data, TOS is listed as a proficient provider for the following suite of services also:
- Cloud integration
- Data integration
- Big Data integration
- Data quality
- Data preparation
The interface consists of three panes: Repository, Component Palette, and Design Workspace.
The Repository holds data pertaining to items in the process of designing jobs. A Component, on the other hand, can be regarded as a preconfigured connector required for pre-defined data integration operations. This is dragged into the Design Workspace, where you can lay out and design jobs for execution.
Another advantage of this tool is its multi-faceted approach to connecting with different data sources like files, databases, SAP, Salesforce, FTPs, and more. Once data is read from any of these sources, it can be pushed into different databases like Azure, Oracle, and MSSQL Server if needed.
4. A “Stitch” in Time, Saves Nine
If silos are troubling you, then it’s time to break down the barriers and let data flow freely.
But, how? Data is a confidential element and can be used by anyone, especially if not shared properly. This is where ETL comes into the picture. By following the methodologies of ETL, a service provider like Stitch can literally stitch up the loose ends and create a well-crafted data fabric.
Stitch is well equipped to connect to different databases like MongoDB, MySQL, and SaaS tools like Zendesk and Salesforce. Its data pipelines are constructed in a way to transfer data from one end to another in a matter of minutes.
As an ETL platform, Stitch comes with no strings attached — it has no API maintenance costs, scripting hassles, and JSON wrangling issues.
Here are some other advantages:
- It’s a simple and clean tool, but its simplicity does not bog down its powerful ETL capabilities
- You can connect to a multitude of data sources
- It’s an open-source tool, making it easier to procure and use
- It includes features related to automated monitoring and alerting
- You own your data infrastructure, without worrying about leasing and renting from third-parties
In the end, Stitch is a tool with a mature replication engine, which values multiple strategies and fills up your repository with data from Amazon Redshift, Google BigQuery, and more. It complies with all security regulations, often required while transferring data from one data source to another.
5. Oracle Data Integrator (ODI): Looking Into the Future
Oracle Data Integrator is a well-endorsed data integration solution for existing Oracle users, especially those who are using Hyperion Financial Management and Oracle E-Business Suite (EBS).
Oracle, as a service provider, offers a cloud version (Oracle Data Integration Platform Cloud) and an on-premise option (Oracle Data Integrator). ODIPC offers pre-built connectors for SaaS applications and is a renowned developer for providing fast performance within a browser-based interface.
On the contrary, ODI covers all grounds related to data integration requirements. This could range from high-volume batch loads to event-driven integration processes to SOA-enabled data services. It’s currently available in two different variants: Enterprise Edition and ODI for Big Data.
Some common features of ODI include:
- Deployment: Incorporates the deployment of server software and agents
- Connectors: Out of the box integration capabilities with databases like Hadoop, CRMs, ERPs, B2B systems, XML, flat files, JSON, JDBC, LDAP, and ODBC. Java needs to be pre-installed to run this tool.
- Design and Development Environment: ODI offers an interactive GUI and development environment called ODI Studio.
Capabilities include, but are not limited to:
- A rich ETL experience for Oracle databases
- Easy integration with other Oracle platforms
- Fast performance for supersonic results
- Overall low cost of ownership
- Java-based installation
Choosing the Best ETL Tool
As the ETL market continues to grow, more and more tools will pop up. These five ETL tools are among the most popular and trusted by organizations of all sizes. If you’re considering whether ETL or ELT is the best for your company, read our guide on ETL vs. ELT.
As you build out your data stack, download our free e-book. A core data stack—including ELT tools, data integration tools, data transformation tools, business intelligence tools, and more—will provide a single source of truth for your data.