
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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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.
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EaseUS MS SQL Recovery
Advanced database repair solutions designed for enterprise settings effectively mend damaged MDF and NDF SQL Server databases, addressing a wide array of SQL database issues. This software proficiently recovers essential database elements such as tables, triggers, indexes, keys, rules, and stored procedures, while also allowing for the deletion of records from the SQL database. It accommodates various versions of MS SQL Server, including 2019, 2017, 2016, 2014, 2012, 2008, and even earlier iterations. When corruption occurs, it typically impacts both primary data (.mdf) and secondary data files (.ndf), but this tool thoroughly scans, identifies, and rectifies affected data files, ensuring that the database is returned to full functionality. Additionally, issues stemming from a corrupted transaction log file (.ldf) can lead to numerous database errors, but EaseUS MS SQL Recovery automatically repairs the damaged log file alongside the rest of the database. After completion, the restored transaction log is conveniently saved in the same directory as the other recovered components, ensuring a seamless recovery process. This comprehensive approach to database repair enhances operational reliability and minimizes downtime for enterprises.
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Stellar Repair for MSSQL
Stellar Repair for MSSQL effectively restores various components of SQL databases, including tables, triggers, indexes, and stored procedures. It is capable of retrieving deleted records from SQL database tables while also extracting data from corrupted backup files. This tool ensures that SQL databases can be restored with minimal downtime, and it can repair corrupted MDF and NDF files as well as extract data from faulty backup (.BAK) files. Furthermore, it supports multiple versions of SQL, including 2022, 2019, 2017, 2016, and earlier editions. When a database's primary filegroup is suspected to be compromised due to issues such as a missing transaction log file or corruption, it gets flagged as 'suspect.' Situations like SQL server crashes during transactions, unexpected database shutdowns, or insufficient disk space can also lead to a database being marked as suspect, rendering it inaccessible. The Stellar SQL recovery solution is instrumental in recovering databases from this suspect mode, effectively returning them to a fully functional online state. Its capability to handle such diverse issues makes it an invaluable tool for database administrators.
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