Businesses require powerful tools to manage massive data sets. According to a research study conducted in the past, we produce more than 3.5 quintillion bits of data every day. In the event of extracting, changing, or loading data, businesses need efficient solutions to streamline the workflows associated with these processes. This is where the most effective software for data-management comes in.
This software category includes various tools to improve the reliability and quality of data. It also includes solutions that let users automatize data workflows, easing the process of obtaining data, integrating, and analyzing data.
One of the most popular tools in this field is Oracle EDM, which helps data managers respond to queries by automating access regulation and monitoring of the system. It also provides comprehensive cataloging, import and export and other capabilities. Another tool is SAP Datasphere, which manages data by enabling semantic definition usage and providing robust business intelligence tools.
SSIS and Blendo are two tools to integrate data. Blendo for instance, uses ETL and ELT to extract transform, load, and then transfer data into the destination systems. It can be used to create data warehouses and other database structures. SSIS on the other hand, is a Microsoft solution that functions best in the SQL Server environment. It offers limited usability for non-developers, and is a challenge to set up and deploy in new environments.
Ataccama ONE, MuleSoft and other tools for managing data are also available. MuleSoft is an integration platform that is cloud-based as service (iPaaS) that lets companies connect data and applications via APIs. Customers have complained about a confusing user interface and high cost of service, which has led some to seek alternatives.
