
RaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
Learn more
Veeam Data Platform is a unified data resilience solution that helps organizations recover from cyberattacks and outages, and protect workloads across hybrid and multicloud environments – all without vendor lock-in.
The platform includes built-in security capabilities designed to mitigate ransomware and other data-loss threats, including AI-backed threat detection across a broad range of workload types. This is intended to help teams identify and respond to threats before they disrupt operations.
Veeam Data Platform supports workload portability across hypervisors, cloud providers, and on-premises environments, allowing organizations to move or recover data across infrastructure without being tied to a specific vendor or platform.
For organizations looking to simplify deployment, Veeam Software Appliance provides a pre-built, hardened, and highly available option, reducing the manual setup and maintenance work required from IT teams.
Learn more
Stellar Repair for MSSQL
Stellar Repair for MSSQL is a powerful solution that restores a wide array of SQL database components, such as tables, triggers, indexes, and stored procedures. In addition to its ability to retrieve deleted records from SQL tables, it can also extract data from corrupted backup files. This tool is designed to minimize downtime during the restoration process, enabling the repair of corrupted MDF and NDF files, as well as the recovery of data from faulty backup (.BAK) files. Supporting various SQL versions, including 2022, 2019, 2017, 2016, and earlier releases, it caters to a broad range of user needs. Databases can be flagged as 'suspect' when their primary filegroup is believed to be compromised, often due to a missing transaction log file or corruption. Additionally, issues such as SQL server crashes during transactions, unexpected shutdowns, or a lack of available disk space can also contribute to this status, making the database inaccessible. The Stellar SQL recovery solution plays a crucial role in bringing databases out of suspect mode and restoring them to a fully operational online state. Its extensive capabilities and versatility make it an essential asset for database administrators, ensuring they can manage and recover their critical data with confidence. The tool's effectiveness in addressing various database issues highlights its significance in maintaining the integrity and availability of SQL databases.
Learn more
EaseUS MS SQL Recovery
Sophisticated database recovery solutions tailored for corporate environments effectively restore compromised MDF and NDF SQL Server databases, tackling a variety of SQL database challenges. This robust software adeptly retrieves vital database components, including tables, triggers, indexes, keys, rules, and stored procedures, while also providing functionality to remove records from the SQL database. It supports multiple MS SQL Server versions, such as 2019, 2017, 2016, 2014, 2012, 2008, and older versions, offering broad compatibility. Typically, when corruption occurs, it affects both primary data files (.mdf) and secondary data files (.ndf); however, this tool conducts thorough scans to detect and repair the corrupted files, restoring the database to its optimal state. Furthermore, problems arising from a damaged transaction log file (.ldf) can cause various database errors, but EaseUS MS SQL Recovery efficiently addresses these log file issues, repairing them in conjunction with the overall database recovery process. Once the recovery is finalized, the restored transaction log is conveniently stored in the same directory as the other retrieved elements, simplifying the recovery workflow. This all-encompassing strategy for database repair significantly boosts operational reliability while reducing downtime, thereby enhancing productivity for enterprises. As businesses increasingly rely on their databases, having a reliable recovery solution is essential for maintaining seamless operations.
Learn more