DBHawk
Using DBHawk, our customers were able to comply with GDPR, HIPAA, SOX, GLBA, and other regulations and were able to implement SOD. Self-Service BI & Ad-Hoc Reporting Tool with feature to define Data Access Policy, Connect to multiple Data sources, Build Powerful SQL Charts and data Dashboards. DBHawk SQL editor is an advanced editor that allows users to build, edit, and run database queries with a web-based interface. DBHawk Query Builder is supported with all major databases such as Oracle, Microsoft SQL Server, PostgreSQL, Greenplum, MySQL, DB2, Amazon Redshift, Hive, Amazon Athena. Database SQL tasks and batch job automation with a web-based centralized tool. Secure access to SQL, NoSQL and Cloud databases with our all-in-one data platform. Trusted by our customers to protect and access their data. Centralized Security, Auditing and insights about your user’s activities.
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SQL Secure
SQL Secure helps database administrators to manage SQL Server security in physical, virtual, and cloud environments - including managed cloud databases. Unlike its competition, it provides configurable data collection, customizable templates to satisfy audits for multiple regulatory guidelines, extensive security checks and audit rules, automated server registration process, and server group tagging.
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Monyog
Agentless MySQL performance monitoring that's fully customizable and allows you to optimize query performance in real-time. Trace all changes done to the MySQL Global variables using the configuration management. You can track and compare changes to the configuration file and identify the reason for performance issues. Monitor locked and long running queries in real-time. Get notifications on mail or SNMP traps, Syslog, Slack and Pagerduty for queries that take more than a specified amount of time to execute. You also have the option to configure Monyog to kill, notify or notify & kill such queries. Avoid learning new tools by using the same performance monitoring tool for MySQL on-premise on physical and virtual machines, in the private, public, and government cloud on virtual machines, and in the public and government cloud as managed databases.
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Amazon RDS
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. It frees you to focus on your applications so you can give them the fast performance, high availability, security and compatibility they need. Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. You can use the AWS Database Migration Service to easily migrate or replicate your existing databases to Amazon RDS.
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