DbVisualizer
DbVisualizer is one of the world’s most popular database clients.
Developers, analysts, and DBAs use it to advance their SQL experience with modern tools to visualize and manage their databases, schemas, objects, and table data and to auto-generate, write and optimize queries.
It has extended support for 30+ of the major databases and has basic-level support for all databases that can be accessed with a JDBC driver. DbVisualizer runs on all major OSes.
Free and Pro versions are available.
Learn more
AWS Glue
AWS Glue is a fully managed data integration solution that simplifies the process of discovering, preparing, and merging data for purposes such as analytics, machine learning, and application development. By offering all the necessary tools for data integration, AWS Glue enables users to begin analyzing their data and leveraging it for insights within minutes rather than taking months. The concept of data integration encompasses various activities like identifying and extracting data from multiple sources, enhancing, cleaning, normalizing, and consolidating that data, as well as organizing and loading it into databases, data warehouses, and data lakes. Different users, each utilizing various tools, often manage these tasks. Operating within a serverless environment, AWS Glue eliminates the need for infrastructure management, automatically provisioning, configuring, and scaling the resources essential for executing data integration jobs. This efficiency allows organizations to focus more on data-driven decision-making without the overhead of manual resource management.
Learn more
Red Hat JBoss Data Virtualization
Red Hat JBoss Data Virtualization serves as an efficient solution for virtual data integration, effectively releasing data that is otherwise inaccessible and presenting it in a unified, user-friendly format that can be easily acted upon. It allows data from various, physically distinct sources, such as different databases, XML files, and Hadoop systems, to be viewed as a cohesive set of tables within a local database. This solution provides real-time, standards-based read and write access to a variety of heterogeneous data repositories. By streamlining the process of accessing distributed data, it accelerates both application development and integration. Users can integrate and adapt data semantics to meet the specific requirements of data consumers. Additionally, it offers central management for access control and robust auditing processes through a comprehensive security framework. As a result, fragmented data can be transformed into valuable insights swiftly, catering to the dynamic needs of businesses. Moreover, Red Hat provides ongoing support and maintenance for its JBoss products during specified periods, ensuring that users have access to the latest enhancements and assistance.
Learn more
SAS Federation Server
Establish federated source data identifiers to allow users to connect to various data sources seamlessly. Utilize a web-based administrative console to streamline the management of user access, privileges, and authorizations for easier oversight. Incorporate data quality enhancements such as match-code generation and parsing functions within the view to ensure high-quality data. Enhance performance through the use of in-memory data caches and efficient scheduling methods. Protect sensitive information with robust data masking and encryption techniques. This approach keeps application queries up-to-date and readily accessible to users while alleviating the burden on operational systems. You can set access permissions at multiple levels, including catalog, schema, table, column, and row, allowing for tailored security measures. The advanced capabilities for data masking and encryption provide the ability to control not just who can see your data but also the specific details they can access, thereby significantly reducing the risk of sensitive information being compromised. Ultimately, these features work together to create a secure and efficient data management environment.
Learn more
