BlackBerry Workspaces vs. CyberSense vs. RecoveryTools for SQL Server vs. python-sql Comparison Chart

Cyberattacks will occur, even with the most advanced security applications in place. Organizations need to be smarter. Smart enough to know when their core infrastructure, user data and key production databases are corrupted due to ransomware. CyberSense® monitors backup data to understand how data changes over time including changes that are indicative of a cyberattack. As a last line of defense, CyberSense will then alert when data is corrupted allowing for an intelligent recovery plan. At the heart of CyberSense is a full-content-analytics engine that inspects inside files and databases for even the most sophisticated attacks. No other solution can compare and provide the confidence that data has integrity. Machine learning is then utilized with 99.5% accuracy to determine if the data corruption is due to malware. If an attack is suspected, CyberSense will deliver an alert, and provide post-attack diagnostics to determine when the attack occurred.

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.