Sold by: SolarWinds
Deployed on AWS
SolarWinds® Database Performance Analyzer (DPA) pinpoints performance issues while providing expert advice with tuning advisors. Anomaly detection powered by machine learning allows DBAs, AppDevs, SREs, and DevOps to proactively optimize databases before small issues become big problems.
4.5
Overview
SolarWinds is a leading provider of simple, powerful, and secure solutions, trusted by more than 300,000 customers worldwide to help accelerate their business transformation in todays hybrid IT world. SolarWinds gives organizations of any size or complexity the power to accelerate productivity and deliver seamless resiliency. With integrated actionable intelligence for your entire ecosystem, we have got IT covered.
SolarWinds® Database Performance Analyzer (DPA) is the cross-platform solution to help you monitor, diagnose, and optimize your databases from anywhere, providing database performance monitoring on AWS and on-premises, spanning Aurora®, SQL Server®, MySQL®, PostgreSQL, and Oracle® and much more.
Whether you are running your database instances in RDS or EC2, DPA uses response-time analysis to identify the root cause of the hardest performance problems in minutes, not hours. Experience the clear, standardized view available for yourself in our Guided Tour video or test drive it on our DPA demo site.
From SQL statements and indexes to execution plans and blocking, DPA provides a complete view of all performance data. With custom historical views and reports, you see trends and the impact of changes. Drag-and-drop custom email alert templates combined with the RESTful management APIs allow you to automate instance monitoring and alerting.
Trusted by thousands of customers worldwide, DPA gives you the power to find your most complex performance issues while optimizing database performance without over-provisioning. To experience DPA firsthand, give it a try with the free 14-day trial available in this image, or contact SolarWinds now for a private offer.
Highlights
- Monitor: A clear, standardized view of your databases in real time. From resource usage to wait times, intuitive interfaces help you stay informed and in control.
- Diagnose and Optimize: Combine anomaly detection, root cause analysis, and query diagnostics to uncover performance issues and receive actionable insights to fine-tune your database for peak efficiency.
- Everywhere: On AWS®, on-premises, or across hybrid environments - track and optimize the database you rely on.
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/host/hour |
|---|---|
1 to 4 Database Instances | $0.136 |
5 to 19 Database Instances | $0.129 |
20 to 49 Database Instances | $0.122 |
50 to 99 Database Instances | $0.115 |
100 to 199 Database Instances | $0.108 |
200 or More Database Instances | $0.101 |
Vendor refund policy
We do not currently support refunds. Please contact sales for further questions (dpa-aws@solarwinds.com ).
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Additional details
Usage instructions
For complete instructions on starting a DPA instance, please follow this link for more information: http://www.solarwinds.com/documentation/kbloader.aspx?kb=MT2494
Once you verify in the EC2 console that your AMI EC2 instance is running, launch DPA by opening a browser and entering this URL: http://<Your_Public_DNS> (for example: http://ec2-54-175-249-214.compute-1.amazonaws.com ).
You can copy and paste <Your_Public_DNS> from your EC2 console. The initial DPA password will be your EC2 instance_id, which you can get also from your EC2 console. When you log in to DPA for the first time, you will be asked to: 1) Create a DPA repository. 2) Agree to the EULA. 3) Select a default timezone. Then you can then start registering databases for monitoring.
Resources
Vendor resources
Support
Vendor support
If you require technical support for your AWS implementation, please open a support ticket (https://customerportal.solarwinds.com/support/submit-a-ticket ). If you have questions about obtaining support, please email customerservice@solarwinds.com for assistance.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By SolarWinds
By Redgate
By Rapydo Technologies
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Anomaly Detection
Machine learning-powered anomaly detection to proactively identify performance deviations and potential issues
Response-Time Analysis
Root cause analysis using response-time analysis to identify performance problems in databases
Cross-Platform Database Support
Support for monitoring and optimization across Aurora, SQL Server, MySQL, PostgreSQL, Oracle, and other databases on AWS RDS, EC2, and on-premises environments
Query and Execution Plan Diagnostics
Comprehensive performance data visibility including SQL statements, indexes, execution plans, and blocking analysis
Automated Alerting and Management
RESTful management APIs and customizable email alert templates for automated instance monitoring and alerting
Centralized Database Monitoring Dashboard
Single central dashboard for monitoring entire database estate across multiple hosting environments
Automated Maintenance and Issue Detection
Automation of maintenance tasks with detection and resolution capabilities for common database problems
Multi-Team Collaboration Framework
Integrated collaboration features enabling Database Administrators and Developers to work together on database management and deployment
Cross-Platform Database Support
Support for monitoring databases regardless of hosting location or infrastructure deployment model
Performance Optimization and Risk Mitigation
Proactive database performance optimization with capabilities to identify and mitigate potential database risks and security vulnerabilities
Real-time Database Monitoring
Unobtrusive real-time monitoring solution that detects problematic queries and demand spikes for immediate identification and resolution
Multi-target Database Fleet Observability
Aggregates and correlates infrastructure-related metrics with database metrics across multiple database targets for comprehensive fleet visibility
Query and Performance Analysis
Enables execution of SQL scripts to analyze schema drifts, database user management, and historical query trends across database instances
Long-term Performance Trend Analysis
Aggregates data over time to identify long-term trends in database performance, user behavior, and platform engineering team protocols
Root Cause Analysis Capabilities
Provides drill-down functionality to isolate stressed database instances and identify root causes of performance issues across the fleet
Standard contract
No
No
Customer reviews
Sanu Gupta
Detailed monitoring has improved real-time insight into query performance and blocking issues
Reviewed on Apr 01, 2026
Review from a verified AWS customer
What is our primary use case?
I have experience with SolarWinds Database Performance Analyzer , and I implemented it for a few customers. I have 11 years of experience and I work with the center of excellence team. Basically, what we do is go to the client environment, implement, deploy, and configure it, then support teams provide support on SolarWinds Database Performance Analyzer and all SolarWinds modules. That is how I work.
With SolarWinds Database Performance Analyzer, we have used historical data analysis for checking blockings on the database, such as when blockings occurred or when the database failed because of blockings.
What is most valuable?
The most valuable features I find in SolarWinds Database Performance Analyzer are the granular level of details about database performance and other aspects such as queries—what queries are running and what queries are taking a long time. It provides a very granular level of details.
Real-time monitoring for maintaining database performance is very useful. For a database, real-time monitoring is essential because when a database fails, many applications fail as a result. We get notifications and alerts from SolarWinds Database Performance Analyzer which can be used to take proactive actions when the database goes down or when some query is not running properly.
What needs improvement?
SolarWinds Database Performance Analyzer does not have an anomaly detection feature.
To make SolarWinds Database Performance Analyzer closer to a ten, I would like to see additional features. It is user friendly and all the necessary components are there. A few monitoring parameters that I wanted to be monitored through SolarWinds Database Performance Analyzer were not available. I do not remember those specific points, so that is why I rated it eight out of ten. If you want to know what features I would like to see, I would need to check and come back with details.
For how long have I used the solution?
I have 11 years of experience and I work with the center of excellence team.
How are customer service and support?
I would rate the technical support by SolarWinds as pretty good—eight out of ten. I will not give ten out of ten because they are still working on improving their technical support.
How was the initial setup?
It was easy to implement SolarWinds Database Performance Analyzer.
What's my experience with pricing, setup cost, and licensing?
Regarding their pricing, I think it is competitive. It is a little expensive. I will not say it is too expensive, but it is a little more expensive in comparison to a few other products in the market.
Which other solutions did I evaluate?
Instead of SolarWinds Database Performance Analyzer, I usually recommend solutions depending on whether the customer is ready to invest. When customers want complete coverage and do not have budget issues, we provide SolarWinds Database Performance Analyzer. When a customer wants to invest less, we have to go for some other solution.
What other advice do I have?
SolarWinds Database Performance Analyzer monitors the performance of the database.
The impact of historical data analysis on performance trend tracking is that when blockings happen, the transactions on the database go into deadlock and the database fails. You will not be able to connect to the database. You have to clear the blockings and kill the threads, then the database starts working again.
Resource queue monitoring has helped identify and resolve deadlocks. When you have a large number of queues stuck with queries or transactions, killing those queries or the deadlocks in the database will allow you to connect with the database and retrieve the data.
The metrics I use to evaluate the effectiveness of SolarWinds Database Performance Analyzer's performance optimizations are database-specific. SolarWinds Database Performance Analyzer does not have metrics such as CPU, memory, or disk utilization. In database performance, we monitor the services, top running queries on the database, and queries which are taking more time. We monitor the slowness of those queries and how much time they are taking.
There is room for improvement in SolarWinds Database Performance Analyzer because I had a feature request for it some time ago, but I do not remember what all the points were. I would need to check again on those points.
When it fits the budget, I think SolarWinds Database Performance Analyzer would be the best option. Overall, I would rate SolarWinds Database Performance Analyzer as good and give it eight out of ten.
Manjunath K.
Excellent Database Visibility with Clear Dashboards and Real-Time Monitoring
Reviewed on Mar 10, 2026
Review provided by G2
What do you like best about the product?
SolarWinds Database Observability provides excellent visibility into database performance with clear dashboards and real-time monitoring. It helps quickly identify slow queries, resource bottlenecks, and performance issues. The interface is user-friendly and the alerts and analytics make troubleshooting much faster for database and infrastructure teams.
What do you dislike about the product?
While the platform provides strong monitoring capabilities, the initial configuration and integration with some environments can take time. In addition, the interface could be improved to make advanced features easier to navigate, and more customization options for reporting and dashboards would be helpful.
What problems is the product solving and how is that benefiting you?
SolarWinds Database Observability helps us identify database performance issues, slow queries, and resource bottlenecks much faster. It provides clear visibility into database health and workload patterns, which helps our team proactively detect problems before they impact users. This improves troubleshooting efficiency, reduces downtime, and ensures better performance and stability of our applications and services.
Lokesha K.
Intuitive Dashboards and Deep Query Insights for Proactive Database Troubleshooting
Reviewed on Jan 30, 2026
Review provided by G2
What do you like best about the product?
Excellent query-level performance analysis that makes it easy to spot slow or inefficient SQL queries. It provides both real-time and historical visibility into wait times, locks, and overall resource usage, which helps when troubleshooting. Support for multiple database platforms is also a big plus, especially in hybrid environments. The dashboards are intuitive and help DBAs and platform teams quickly narrow down the root cause instead of guessing. Alerts feel meaningful as well, enabling proactive issue detection rather than reactive firefighting.
What do you dislike about the product?
Initial setup and fine-tuning can feel complex, especially in large or distributed database environments. Licensing can also be on the higher side compared to some alternatives. Additionally, advanced customization of dashboards and alerts may take extra time and require additional learning to get everything configured the way I want.
What problems is the product solving and how is that benefiting you?
It helps us quickly spot database performance issues—such as slow queries, blocking, and resource contention—before they start impacting our applications. As a result, we’ve reduced mean time to resolution (MTTR), improved overall database stability, and made collaboration smoother across our DBA, application, and platform teams.
Renish N.
Clear, Real-Time Database Visibility That Speeds Up Troubleshooting
Reviewed on Jan 21, 2026
Review provided by G2
What do you like best about the product?
What I like best about SolarWinds Database Observability is how clearly it shows what’s really happening inside the database. Instead of just alerting that something is slow, it helps pinpoint why it’s slow whether it’s a long-running query, blocking issue, or resource bottleneck. The dashboards are easy to understand and give real-time visibility, which makes troubleshooting much faster and less stressful. Another big plus is that it supports multiple database platforms in one place, so you don’t need separate tools for different environments. Overall, it saves time, reduces guesswork, and helps teams be more proactive with database performance.
What do you dislike about the product?
One downside is that the initial setup and configuration can feel a bit complex, especially for teams that are new to database monitoring tools. Some of the advanced features also have a learning curve, so it may take time to fully understand and use the platform to its full potential. Additionally, pricing can be on the higher side for smaller teams or organizations with limited budgets.
What problems is the product solving and how is that benefiting you?
SolarWinds Database Observability solves one of the biggest challenges most teams face: not knowing why databases slow down or fail. Instead of guessing based on partial data, the tool gives real-time visibility into database health, query performance, resource usage, and bottlenecks. This means issues that used to take hours to diagnose like blocked processes, inefficient queries, or resource contention can now be uncovered quickly and accurately. For me, this has translated into less firefighting and faster resolution times. I can proactively spot trends before they become outages, reduce the number of repeated performance incidents, and spend more time optimizing the environment instead of chasing alerts. The unified view of different database engines also helps simplify monitoring across the whole stack, so teams stay coordinated and efficient.
hardik b.
Clear, Real-Time Database Visibility with Fast Setup and Reliable Alerts
Reviewed on Jan 15, 2026
Review provided by G2
What do you like best about the product?
What I like most about SolarWinds database observability is that it gives clear visibility into base performance without too much setup. Once it is connected, it starts showing useful information quickly, which helps save time. It is very helpful in finding slow queries and performance bottlenecks. Instead of guessing what is wrong, I can directly see which query or process is causing issues. The database is well organized and easy to understand, even when monitoring multiple databases. I don't need to jump between different tools to get basic performance details. Another thing I like is the real-time monitoring. It helps me see what is happening in the database at the exact moment when a problem occurs. It also provides historical data. which is useful when comparing current performance with the previous day or weeks. This helps identify patterns and recurring issues. The tool supports multiple database types , which is very useful when working with different environments like development, staging, and production. I also like how it shows CPU, memory, I/O, and times together, which makes troubleshooting much easier. Alerts are another strong point. The alerting system is reliable and helps notify the team before users even notice a problem.
What do you dislike about the product?
One thing I dislike is that the initial learning curve can be a bit high. New users may need some time to fully understand all the metrics. The interface can feel busy at times because there is a lot of data on one screen, which may be confusing for beginners. Pricing can be a concern for small teams or startups. especially if they only need basic monitoring. Sometimes the alert configuration feels complex, and fine-tuning alerts takes extra effort to avoid unnecessary notifications. the setup process for custom dashboards could be more user-friendly. Occasionally, the tool may feel heavy on system resources, especially when monitoring many databases at once. Documentation is helpful, but in some advanced cases, examples could be clearer. It would also be nice to have more flexible role-based access controls for large teams.
What problems is the product solving and how is that benefiting you?
SolarWinds database observability solves the problem of not knowing why a database is slow or unstable. Instead of relying on assumptions, it gives clear and actionable insights. It helps identify performance issues before they impact users, which improves application reliability. For backend and database teams, it reduces manual troubleshooting time because the root cause is visible in the dashboard. It benefits the operations team by improving uptime and stability, which is critical for production systems. The tool helps teams optimize database performance by highlighting inefficient queries and resource usage. It also supports better capacity planning since historical trends show when resources need to be scaled. For teams working in fast-paced environments, it improves response time during incidents, making debugging quicker and less stressful. it helps bridge the gap between developers and DBAs, because both can look at the same data and understand the issue. it helps teams stop blaming the application first .Many times the issue is in the database, and this tool makes that clear with proof. It improves team communication during incidents; developers, DBAs, and ops teams can all look at the same data instead of arguing based on assumptions. It reduces late-night firefighting because many issues are caught early through alerts and trends. It helps junior team members learn database behavior faster since they can visually see what causes performance drops. It supports cleaner release cycles. After deployment, it's easy to confirm whether database performance stayed healthy or not. It helps avoid over-scaling the database unnecessarily, saving costs by showing whether the problem is really resource-related or query-related. It brings confidence during high-traffic events because database load and behavior are visible in real time. It helps avoid guesswork during outages. Instead of checking the log randomly, the data clearly points to what is wrong. It makes post-incident reviews easier because you can go back in time and see exactly when performance started dropping. It reduces pressure on senior engineers, since the tool explains a lot through visuals and trends. It helps teams trust their database health, especially after big changes like migration or schema updates. It supports multi-team ownership where different services use the same database and problems need shared visibility. It improves long-term database planning because growth patterns are visible instead of hidden. It helps backend developers focus more on features, not constant performance tuning. It helps catch small performance issues before they grow into big outages. It gives confidence during database upgrades because you can monitor behavior closely before and after changes. It reduces the need to constantly tail logs, since most useful insights are already visible in the UI. It helps identify hidden performance killers, like background jobs or scheduled tasks running at the wrong time. It supports better collaboration with the QA team, especially when performance issues appear only under load. It helps backend developers validate optimization by clearly showing if changes actually improved performance. It makes database behavior less mysterious, especially for complex queries and locks. It saves time during root cause analysis because historical metrics are already linked together. It helps maintain stable SLAs. since performance drops can be detected early. It gives teams more control and predictability instead of blindly reacting to issues. Overall, SolarWinds database observability turns complex database behavior into clear insights, helping teams build faster, more reliable systems with less effort.