SolarWinds launched SolarWinds Database Insights for SQL Server.
Uniting the features and functionality of the SolarWinds Database Performance Analyzer (DPA) and SolarWinds SQL Sentry (the flagship product of SentryOne), into a new, single licensed product, Database Insights for SQL Server provides the in-depth performance and environmental data teams need to optimize the performance of Microsoft SQL Server and other leading database platforms running on-premises, in the cloud, or in hybrid environments.
Database Insights for SQL Server combines DPA’s database anomaly detection capabilities powered by machine learning with the SQL Sentry detailed performance information, helping to pinpoint problems, speed time to resolution, and prevent them from reoccurring. It delivers relevant, actionable metrics to help data professionals monitor, view, and report on Microsoft SQL Server databases regardless of where they reside, monitor overall performance with the ability to drill deep into database and OS internals, and customize performance dashboards to stakeholders’ needs. Further, Database Insights extends beyond SQL Server to provide some of the broadest database coverage available in the industry, managing the performance of more than 20 database platforms, from on-premises to in the cloud.
“Data, and database growth, is exponential,” said Rohini Kasturi, EVP, CPO, at SolarWinds. “With this added growth comes added complexity, making it difficult to find resolutions when problems arise. And if this wasn't difficult enough, hybrid environments make performance monitoring harder than ever. Adding Database Insights for SQL Server strengthens our database performance management offering for customers who rely not only on the Microsoft SQL Server database management system, but on a wide array of databases today.”
“At SolarWinds, our investment in database performance management delivers on our commitment to—and eye toward—future innovation to improve the quality of life for data professionals, even as their responsibilities and number of databases they manage expand and become more complex,” Kasturi said. “The overall portfolio gives data teams some of the most comprehensive and cost-effective solutions available, with robust features and functionality to effectively manage and optimize database performance regardless of the database type or where the data resides at scale.”
SolarWinds database performance management solutions provide intelligent recommendations based on best practices for faster troubleshooting and AI implementation for anomaly detection to help predict and identify potential issues before they disrupt the business and accelerate data delivery while controlling costs.The cross-platform solutions help data pros manage complexities and provide them with visibility needed to proactively optimize the performance of multi-platform databases—to mitigate the risk of business interruptions, and regardless of where the databases run.
The full SolarWinds database performance management portfolio includes the following products:
- Database Insights for SQL Server – Broad coverage with detailed database and system metrics for Microsoft SQL Server database-related Microsoft Services and other leading database platforms, to help solve and optimize performance for the largest environments.
- Database Performance Analyzer – Database management software built for performance monitoring, analysis, and tuning with support for Oracle, Microsoft SQL Server, Azure SQL Database, PostgreSQL, MySQL, MariaDB, IBM DB2, Amazon RDS, Amazon Aurora, SAP ASE, Percona, and EDB Postgres databases.
- SQL Sentry – Database performance monitoring for the Microsoft Data Platform, with fast root cause analysis and visibility across the Microsoft data estate. SQL Sentry supports Microsoft SQL Server, Azure SQL Database, Azure SQL Managed Instance, and Amazon RDS SQL Server databases.
- Database Performance Monitor – Database performance monitoring and optimization for open-source databases, including Azure SQL Database, MySQL, MariaDB, Percona, PostgreSQL, EDB Postgres, GCP for PostgreSQL, GCP for MySQL, Amazon RDS, Amazon Aurora, Azure Database, Redis, MongoDB, and Vitess.
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