List of the Top 3 Database Software for ActiveScale in 2025
Reviews and comparisons of the top Database software with an ActiveScale integration
Below is a list of Database software that integrates with ActiveScale. Use the filters above to refine your search for Database software that is compatible with ActiveScale. The list below displays Database software products that have a native integration with ActiveScale.
Google Cloud Platform provides a range of managed database options, such as Cloud SQL, Cloud Spanner, and Cloud Firestore, tailored to meet diverse application requirements. These services streamline database administration while ensuring high levels of availability, scalability, and security. New users receive $300 in free credits to experiment with, test, and deploy their workloads, giving them the opportunity to investigate GCP's database offerings and determine how these managed solutions can satisfy their data storage and querying needs. GCP's database services are seamlessly integrated with other offerings like BigQuery and Google Cloud Storage, facilitating efficient data analytics processes. Furthermore, organizations can select from both relational and NoSQL databases, enabling them to find the most suitable option for their unique scenarios. The platform’s automated scaling and management capabilities help minimize operational burdens, allowing companies to concentrate on their applications instead of managing infrastructure.
ONTAP is recognized as the premier software solution for managing enterprise data. To achieve a seamless hybrid cloud experience, it is essential to have a reliable platform as your foundation. The NetApp® ONTAP® software provides you with every possible edge, regardless of your location. It’s akin to winning the ultimate prize in data management. You can easily manage your data as it moves to and from the critical sites that you prioritize. We recognize that you are currently balancing numerous urgent tasks… Promote business growth. Adequately support your current applications. Get ready for future challenges. Additionally, you can accomplish all of this without stretching your IT budget. With ONTAP, you won’t need to compromise to achieve these goals. Quickly respond to new business requirements, enhance your everyday processes, and make a significant impact on your team. Does this resonate with you? No matter your data management needs—whether on-premises or in the cloud—ONTAP is prepared to address them and drive your success forward. Ultimately, the right tools can transform the way you manage data and propel your organization into the future.
The Empress Embedded Database engine is a crucial part of the EMPRESS RDBMS, a relational database management system that stands out in the realm of embedded database technology, powering a diverse range of applications from automotive navigation to critical military command and control systems, as well as advanced Internet routers and medical technology; Empress reliably functions continuously at the core of embedded solutions across multiple sectors. A noteworthy aspect of Empress is its kernel level mr API, which provides users with direct access to the Embedded Database kernel libraries, facilitating the fastest connection to Empress databases. Through the use of MR Routines, developers achieve exceptional command over time and space while designing real-time embedded database applications. In addition, the Empress ODBC and JDBC APIs enable seamless interaction between applications and Empress databases in both standalone and client/server setups, allowing numerous third-party software solutions that support ODBC and JDBC to effortlessly link to a local Empress database or via the Empress Connectivity Server. This flexibility and efficiency solidify Empress as a top choice among developers in search of powerful database solutions for embedded systems, ensuring their projects can stay agile and effective in a fast-paced digital environment. Ultimately, Empress remains a reliable partner for any developer aiming to harness the full potential of embedded database technology.
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