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What is pganalyze?

pganalyze is a Postgres performance optimization product for engineering teams. It captures query performance, wait events, and other critical data, finds the root cause of slow queries, bad indexes, and table bloat in minutes, and lets you investigate safely with AI tools such as Claude Code through the pganalyze MCP Server. More than 700 teams, including Notion, Auto Trader UK, and Fivetran, use pganalyze. With pganalyze, teams: ✓ Find and fix slow queries before customers notice ✓ Ship index and plan changes with confidence ✓ Keep autovacuum running smoothly ✓ Spend on tuning, not bigger instances ✓ Make every engineer and AI agent a Postgres expert ✓ Meet security and compliance standards The Index Advisor, Query Advisor, and VACUUM Advisor recommend indexes, query rewrites, and autovacuum settings, and pganalyze Workbooks let you test and validate a fix before you ship. The pganalyze collector filters PII on your own infrastructure before anything leaves, and sign-in supports SAML SSO. pganalyze works with Amazon RDS and Aurora, Google Cloud SQL and AlloyDB, Azure Database for PostgreSQL, Heroku, Crunchy Bridge, Aiven, Supabase, Neon, and self-managed Postgres, including Kubernetes. Use it as a cloud service, or self-host with pganalyze Enterprise Server.

What is Google Cloud Datastream?

This innovative, serverless solution for change data capture and replication offers seamless access to streaming data from various databases, including MySQL, PostgreSQL, AlloyDB, SQL Server, and Oracle. With its ability to support near real-time analytics in BigQuery, organizations can gain rapid insights that enhance decision-making processes. The service boasts a simple setup that incorporates secure connectivity, enabling businesses to achieve quicker time-to-value. Designed for automatic scaling, it removes the burden of resource management and provisioning. By employing a log-based mechanism, it effectively reduces the load on source databases, ensuring uninterrupted operations. This platform enables dependable data synchronization across multiple databases, storage systems, and applications while maintaining low latency and minimizing adverse effects on source performance. Organizations can quickly implement the service, benefiting from a scalable solution free of infrastructure concerns. Furthermore, it promotes effortless data integration throughout the organization, utilizing the capabilities of Google Cloud services such as BigQuery, Spanner, Dataflow, and Data Fusion, thereby improving overall operational efficiency and accessibility to data. This all-encompassing strategy not only optimizes data management processes but also equips teams with the ability to make informed decisions based on timely and relevant data insights, ultimately driving business success. Additionally, the flexibility of this service allows organizations to adapt to changing data requirements with ease.

Media

Media

Integrations Supported

Google Cloud Platform
PostgreSQL
Amazon Web Services (AWS)
Cursor
Docker
Heroku
Kubernetes
Microsoft Azure
Neon
New Relic
PagerDuty
Slack

Integrations Supported

Google Cloud Platform
PostgreSQL
AlloyDB
Google Cloud BigQuery
Google Cloud Data Fusion
Google Cloud Dataflow
Google Cloud SQL
Google Cloud Spanner
Oracle Database
SQL

API Availability

Has API

API Availability

Pricing Information

$149 per month
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

pganalyze

Date Founded

2012

Company Location

United States

Company Website

pganalyze.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/datastream

Categories and Features

Database Monitoring

Not specified

Log Monitoring

Not specified

Categories and Features

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