MySQL by Oracle
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eXtremeDB, developed by McObject, is an in-memory database management system (IMDBMS) engineered from the ground up for extreme performance, reliability, and a small memory footprint. It is designed to be exceptionally fast, easy to learn, and suitable for real-time applications where microsecond latency is critical. Available in both embedded and client/server versions, eXtremeDB offers a secure, deterministic data platform for applications in financial trading, telecommunications, IoT, and embedded systems. This database is targeted at developers and architects building high-performance, real-time applications in sectors like fintech, network equipment, defense, and industrial control. It is ideal for use cases where data must be processed at the a...
This database is targeted at developers and architects building high-performance, real-time applications in sectors like fintech, network equipment, defense, and industrial control. It is ideal for use cases where data must be processed at the absolute fastest speed possible, often within the application process itself, and where predictability is as important as raw speed.
Our verdict is that eXtremeDB lives up to its name for performance-critical applications. Its combination of in-memory speed, deterministic behavior, and compact design makes it a standout choice for real-time systems where every microsecond counts and reliability cannot be compromised.
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This database is targeted at developers and architects building high-performance, real-time applications in sectors like fintech, network equipment, defense, and industrial control. It is ideal for use cases where data must be processed at the absolute fastest speed possible, often within the application process itself, and where predictability is as important as raw speed.
These are common features buyers compare in Database Software. Product-specific availability should be confirmed with the vendor.
Control user entry and feature availability through role-based permissions and secure credentials.
Generate data backups and offer solutions for restoring lost or deleted information.
Transfer datasets between systems or perform version upgrades on database environments.
The practice of duplicating data across multiple nodes or locations to ensure redundancy.
Convert and reformat data between different database structures.
Utilize the platform features from any location using smartphones or tablets.
Supports query execution and procedures across various languages including SQL, Python, and Java.
Non-relational database management focused on flexible schemas and document-oriented storage.
Evaluate and report on the efficiency and health of database systems.
Manage structured data through defined relationships and tables.
Access and interact with information layers without needing exposure to underlying infrastructure.
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