Sold by: pganalyzeÂ
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.
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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Features and programs
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 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)
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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.
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