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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DbVisualizer is a universal database client for anyone who works with data, from indie developers and startups to professional teams managing complex database environments, including developers, DBAs, analysts, and data engineers working across relational and NoSQL databases.
Key features:
- SQL editor with intelligent autocomplete, visual query builders, variables, and execution tools
- AI Assistant for answering questions, explaining errors, and analyzing code
- Git integration for managing SQL scripts and team collaboration
- Customizable layouts, key bindings, and UI themes
- Favorites for frequently used scripts and database objects
- Configurable security settings for organizational requirements
Connects via JDBC to MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, BigQuery, and more. Runs on Windows, macOS, and Linux.
Nearly 7 million downloads, with Pro users in 150 countries, scaling from solo projects to enterprise database management.
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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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Aryson SQL Database Recovery
The Aryson SQL Database Repair tool effectively repairs corrupted and damaged MDF files with exceptional precision, ensuring that the database hierarchy and object integrity are preserved. SQL database corruption can occur for various reasons, including damage to the MDF files' storage media, accidental deletion of the database, alterations in the MS SQL Server account, viral infections in the disk drive, and header file corruption, among others. This recovery software addresses all problems within the damaged database file, restoring it to a functional or new state rather than leaving it in a corrupted condition. Additionally, the SQL server recovery utility is capable of retrieving essential components like tables, views, triggers, defaults, programmability, and other vital functions of the SQL server database, making it a comprehensive solution for database maintenance and recovery. Ultimately, utilizing this tool can significantly enhance data reliability and accessibility for users.
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