Difference between Valentina Server and VoltDB

Databases are decidedly one of the most essential parts of modern-day applications, as there are solutions available for high performance, large storage capacity, hybrid of both, reporting etc. Two such databases are Valentina Server and VoltDB, each of which stands out in different aspects.

Valentina Server is a universal hybrid database featuring reporting capabilities while VoltDB is a high speed distributed in-memory database intended for real-time data transactions. This article explores their individual features, their main functions, comparisons and contrasts in a bid to grasp the variety of contexts within which they are used.

What is Valentina Server?

VDS Server is a universal database server which integrates relational and object database with comprehensive reporting tools. Provides effortless database creation and administration done for applications that offer simultaneous use of SQL and NoSQL features.

The features of Valentina Server include the following:

• Relational and Object Databases Combined: Valentina Server enables users to make use of relational databases (SQL) and object databases. It is this combination that gives the developers liberty of structured data storage with the flexibility of NoSQL.
• Valentina Reports: Its distinguishing most of the features is contributing its reporting engine that enables users to design, create, and even distribute reports that are rich in visual detail. Such integration is important for systems that require effective data presentation formats.
• Multi-language support: Valentina Server runs on a significant number of programming languages (e.g., PHP, Python, Ruby, C#, JavaScript), hence it is a godsend to developers and remarkably cross-platform.

What is VoltDB?

VoltDb is a distributed in-memory relational database that delivers ultra-low-latency and high *throughput* characteristics. In particular, voltDB, built for highly performing transactional systems and capable of data-driven real-time benefits, offers an ongoing application that uses data-driven responses for near real-time performance. Its features include the following:

• In-memory Processing: All the data is stored to the memory of VoltDB, from which the fastest access speed of data can be obtained. This design is particularly effective for high-frequency transactional applications.
• Distributed Architecture: The horizontal scaling of the database may be achieved by spreading the data and queries over the set of redundancy and high availability nodes.
• ACID: VoltDB guarantees that data remains consistent under strong ACID properties, even in a distributed environment.
• Real-time analytic middleware: VoltDB enables developers to continuously ingest data in real time and perform data and analytics in-parallel, and is best suited to applications near IoT, financial trading, and telecom.
• Software support: Java and C+ and client libraries are provided for high speed application programming.

Differences Between Valentina Server and VoltDB

The following table compares and contrasts the important features of Valentina Server and VoltDB - 

Conclusion

Valentina Server and VoltDB have different purposes, therefore they are useful in different situations. Valentina Server works effectively in more hybrid cases, for instance, business apps or data reporting and analytical tools. It allows a developer to develop a whole package for use of both databases and reports in a single environment.

VoltDB, in contrast, offers strong capabilities for handling high volume, high velocity, and time critical transactions. Its architecture, which is virtually 100% in memory and is also distributed, makes it the ideal database solution for many low-latency applications such as IoT, financial services, telecommunications, and others.

The best way to tailor a solution is to start with the definition of a problem that is to be solved by the application. For hybrid database systems and reporting, Valentina Server works great. For a very large volume of data to be processed in real time, there is nothing that can rival VoltDB.