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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 TimescaleDB?

TimescaleDB is an advanced time-series and analytics database built entirely on top of PostgreSQL, combining the best of relational reliability and time-series speed. It’s engineered to help developers and data teams analyze streaming, sensor, and event data in real time, while retaining historical data cost-effectively. Its core innovation, the hypertable, automatically partitions large datasets across time and space, optimizing query planning and ingestion for billions of records. TimescaleDB’s continuous aggregates provide incrementally refreshed views, enabling instant dashboards and analytics without costly recomputations. It also offers hybrid row-columnar storage, blending transactional speed with analytical performance, and supports compression rates up to 95% for long-term data storage. With built-in automation for retention, aggregation, and reordering, it reduces the operational overhead of managing time-series data at scale. TimescaleDB’s hyperfunctions library extends SQL with over 200 specialized time-series analysis functions — ideal for anomaly detection, forecasting, and performance tracking. Because it’s 100% PostgreSQL compatible, teams can leverage existing Postgres tools, drivers, and extensions while gaining time-series capabilities instantly. Open-source and cloud-ready, it powers critical workloads for industries ranging from IoT and fintech to cloud infrastructure monitoring. With TimescaleDB, developers can query billions of data points in milliseconds — using the same SQL they already know.

Media

Media

Integrations Supported

PostgreSQL
Amazon Web Services (AWS)
Claude Code
Datadog
Docker
Heroku
Honeycomb
Neon
Okta
PagerDuty
Slack

Integrations Supported

PostgreSQL
APERIO DataWise
AccessOwl
Ndustrial Contxt
Pro Edition for Eclipse Mosquitto
QStudio
TrendMiner
Workers by Delos
Wyn Enterprise
n8n

API Availability

Has API

API Availability

Pricing Information

$149 per month
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

pganalyze

Date Founded

2012

Company Location

United States

Company Website

pganalyze.com

Company Facts

Organization Name

Tiger Data

Date Founded

2015

Company Location

United States

Company Website

www.tigerdata.com/timescaledb

Categories and Features

Database Monitoring

Not specified

Log Monitoring

Not specified

Categories and Features

Relational Database

Not specified

Time Series Databases

Not specified

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