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What is VictoriaMetrics?

VictoriaMetrics is an economical and scalable option for monitoring that also functions as a time series database. Additionally, it is suitable for the long-term storage of Prometheus data. This solution operates as a standalone executable without requiring any external dependencies. Configuration is managed through clear command-line flags along with sensible defaults. Notably, it offers a global query view, enabling multiple Prometheus instances or other data sources to input data into VictoriaMetrics. Users can later retrieve this data with a single query. It effectively addresses challenges related to high cardinality and high churn rates by implementing a series limiter, ensuring optimal performance and reliability. Furthermore, its user-friendly setup makes it accessible for a wide range of applications.

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

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
NudgeBee
OpenTSDB
Prometheus
VictoriaLogs
VictoriaMetrics Cloud

Integrations Supported

Dataplane
HighByte Intelligence Hub
Last9
Mode
NexClipper
PostgreSQL
Pro Edition for Eclipse Mosquitto
QStudio
Tiger Data
TrendMiner
Visplore
n8n

API Availability

API Availability

Pricing Information

$0
Hassle-free monitoring solution
100% Free - Open Source
Free Version

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

VictoriaMetrics

Date Founded

2018

Company Location

United States

Company Website

victoriametrics.com

Company Facts

Organization Name

Tiger Data

Date Founded

2015

Company Location

United States

Company Website

www.tigerdata.com/timescaledb

Categories and Features

Data Replication

Dashboard
Simulation / Testing

Time Series Databases

Not specified

Categories and Features

Relational Database

Not specified

Time Series Databases

Not specified

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