Sold by: pganalyze
Deployed on AWS
pganalyze is the leading tool for PostgreSQL performance monitoring, database optimization, tuning recommendations, and alerting for Amazon Relational Database Service (Amazon RDS) and Amazon Aurora. Engineers can fix slow queries, compare execution plans, improve indexing, and detect bloat or vacuum problems before they impact applications. Designed for teams who need accurate, explainable database observability.
4.4
Overview
pganalyze is a performance and monitoring tool purpose-built for deep observability into PostgreSQL. Database, infrastructure, and platform engineering teams rely on pganalyze to monitor and optimize thousands of Amazon Relational Database Service (Amazon RDS) and Amazon Aurora instances. pganalyze uses deterministic, rule-based logic, based on decades of real-world PostgreSQL tuning expertise, to enable engineers at any experience level to identify and fix performance issues with confidence. Once the pganalyze collector is installed in your AWS environment, the service securely analyzes database statistics from pg_stat_statements, the auto_explain extension, PostgreSQL logs, and other data points. By capturing full database snapshots over time, pganalyze Advisors offer tuning recommendations, such as missing indexes, query plan improvements, and more, based on holistic views of workload trends. pganalyze is deeply rooted in the PostgreSQL community. We actively contribute to PostgreSQL development and maintain pg_query, the widely used open-source Postgres SQL parser library. To start a free trial, sign up at app.pganalyze.com or contact sales@pganalyze.com . Our team would also be happy to assist you with a quote for an AWS private offer or details about self-hosted deployments using pganalyze Enterprise Server.
Highlights
- Monitor query performance trends over time to spot regressions and workload shifts early. Utilize pganalyze Query Advisor to fix slow queries, compare execution plans, and receive performance alerts.
- Detect locking, blocking, and long-running transactions with clear visibility into lock chains and wait events in the Connections view. Identify load-driving queries and resource usage patterns, with alerts that surface emerging issues for faster resolution.
- Proactively identify database performance issues such as missing indexes through pganalyze Index Advisor and prevent autovacuum slowdowns with pganalyze VACUUM Advisor.
Details
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
pganalyze Scale plan | Scale plan features with 5 billable servers | $500.00 |
Vendor refund policy
No Refunds. Fees will not be prorated upon cancellation and/or termination and all fees paid through the date of termination are nonrefundable.
Legal
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
pganalyze provides engineer-to-engineer support for all customers to help with installation, configuration, performance analysis, and ongoing operations. Contact support via email (support@pganalyze.com ) or in-app. Check our website for documentation, setup guides, and best-practice resources. We also offer training and workshops for bigger teams.
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.
Customer reviews
Archit K.
Time-Saving Query Insights with Clean UI and Proactive PostgreSQL Optimization
Reviewed on May 08, 2026
Review provided by G2
What do you like best about the product?
The query analysis and EXPLAIN plan visualization save a lot of time during production debugging by clearly highlighting slow scans, missing indexes, and inefficient plans.
I regularly use the historical query performance and plan diffing features to identify regressions after deployments or schema changes.
The UI is clean and actionable — metrics, logs, query stats, and recommendations are all correlated in one place instead of requiring multiple tools.
Features like Index Advisor and VACUUM recommendations provide useful optimization suggestions that improve database performance proactively.
It has improved incident response workflows significantly because engineers can quickly trace bottlenecks without deep PostgreSQL internals knowledge.
The integrations and deployment flexibility (cloud, self-hosted, OpenTelemetry support) make it easy to adopt in production environments.
One unexpected benefit was how useful the collaboration and shared troubleshooting workflows became during performance investigations.
Overall, the platform delivers strong ROI by reducing debugging time, improving query performance visibility, and helping prevent production issues early.
I regularly use the historical query performance and plan diffing features to identify regressions after deployments or schema changes.
The UI is clean and actionable — metrics, logs, query stats, and recommendations are all correlated in one place instead of requiring multiple tools.
Features like Index Advisor and VACUUM recommendations provide useful optimization suggestions that improve database performance proactively.
It has improved incident response workflows significantly because engineers can quickly trace bottlenecks without deep PostgreSQL internals knowledge.
The integrations and deployment flexibility (cloud, self-hosted, OpenTelemetry support) make it easy to adopt in production environments.
One unexpected benefit was how useful the collaboration and shared troubleshooting workflows became during performance investigations.
Overall, the platform delivers strong ROI by reducing debugging time, improving query performance visibility, and helping prevent production issues early.
What do you dislike about the product?
The pricing can become expensive for smaller teams or organizations with multiple large PostgreSQL clusters, especially when scaling monitoring coverage.
Some advanced insights and tuning recommendations require fairly deep PostgreSQL knowledge to fully understand and act on effectively.
While the UI is strong overall, certain dashboards can feel dense during incident investigations when a lot of metrics and alerts are firing simultaneously.
Initial onboarding and alert tuning took some time because there are many configuration options and monitoring signals available.
I would like to see even deeper AI-assisted root cause analysis and automated remediation suggestions for common performance issues.
Some advanced insights and tuning recommendations require fairly deep PostgreSQL knowledge to fully understand and act on effectively.
While the UI is strong overall, certain dashboards can feel dense during incident investigations when a lot of metrics and alerts are firing simultaneously.
Initial onboarding and alert tuning took some time because there are many configuration options and monitoring signals available.
I would like to see even deeper AI-assisted root cause analysis and automated remediation suggestions for common performance issues.
What problems is the product solving and how is that benefiting you?
pganalyze helps us identify slow queries, locking issues, replication lag, and inefficient indexes much faster than relying on native PostgreSQL tools alone.
It centralizes query analytics, logs, execution plans, and database metrics into one platform, which reduces the time spent switching between multiple dashboards and tools.
The platform has improved our incident response workflow by making root cause analysis significantly quicker during production outages or performance regressions.
Historical query tracking and plan comparison help us detect regressions after deployments and validate optimization changes with real performance data.
The automated recommendations around indexing, VACUUM, and query tuning help proactively improve database performance and stability.
Overall, it reduces operational overhead, improves database reliability, and saves engineering time that would otherwise be spent manually troubleshooting PostgreSQL performance issues.
It centralizes query analytics, logs, execution plans, and database metrics into one platform, which reduces the time spent switching between multiple dashboards and tools.
The platform has improved our incident response workflow by making root cause analysis significantly quicker during production outages or performance regressions.
Historical query tracking and plan comparison help us detect regressions after deployments and validate optimization changes with real performance data.
The automated recommendations around indexing, VACUUM, and query tuning help proactively improve database performance and stability.
Overall, it reduces operational overhead, improves database reliability, and saves engineering time that would otherwise be spent manually troubleshooting PostgreSQL performance issues.
Campbell A.
Empowers Our Database Performance Monitoring
Reviewed on Dec 14, 2025
Review provided by G2
What do you like best about the product?
I like that pganalyze just works and they keep adding new features to really get into the nitty gritty of understanding how the system works. They give you expert insights, which feels like standing on the shoulders of PostgreSQL experts, allowing us to focus more on our application and business domain. I also enjoy the server log, query and auto-vacuum insights, table bloat, and query performance tuning via plan statistics and comparisons. The initial setup is quite easy, get the container, inject the database auth credentials, and set up some functions done.
What do you dislike about the product?
It's all pretty good but maybe more lock contention insights and more granular best practices and recommended tuning values. Oh and I'd love an official MCP server for agentic workflows.
What problems is the product solving and how is that benefiting you?
Pganalyze helps monitor and optimise our database and query performance, ensuring uptime, availability, and efficiency for our SaSS application workloads. It offers insights, allowing us to leverage PostgreSQL expertise and focus on our application and business.
Divyesh J.
Effortless Setup and Robust Support Improve DB Insights
Reviewed on Dec 11, 2025
Review provided by G2
What do you like best about the product?
I like the ease of setup with pganalyze; the setup process was smooth and straightforward. It has a significant impact on database support by identifying several missing indexes, which is super helpful for optimization. The customer support is excellent, with fast response times, typically within a few hours.
What do you dislike about the product?
Pricing can be a bit opaque and there's a lack of support for advanced features like custom query tagging.
What problems is the product solving and how is that benefiting you?
I use pganalyze for Postgres performance analysis, addressing query performance issues and index optimization. It's easy to set up, identifies missing indexing, and offers excellent customer support with quick response times.
Douglas R.
Intuitive Interface and Uncomplicated Setup
Reviewed on Nov 09, 2025
Review provided by G2
What do you like best about the product?
I like the clean and intuitive layout of pganalyze, which makes navigation efficient and facilitates the quick identification of issues. The use of visual graphs is a great help, as it highlights the main information clearly, allowing for more effective data analysis. Additionally, I appreciate the ease of initial setup of pganalyze, which provided me with a hassle-free experience from the start. The combination of these features makes me value pganalyze as an effective tool for learning and better understanding the Postgres database.
What do you dislike about the product?
Price
What problems is the product solving and how is that benefiting you?
I use pganalyze to quickly identify and track bottlenecks in the database, aided by clear graphs and highlighted information.
Akshat P.
Great for Tuning and Heavy Load Queries, User-Friendly UI
Reviewed on Oct 14, 2025
Review provided by G2
What do you like best about the product?
Its Good for tuning Queries, and good for heavy Load Queries and UI is user friendly
What do you dislike about the product?
It should be open to integrate more tools or services related to Data
What problems is the product solving and how is that benefiting you?
Its provide recommendation for Indexing and query plans. It helps identify slow Queries. So i can use it for getting fast response by looking at these parameters