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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.

What is JaguarDB?

JaguarDB streamlines the quick ingestion of time series data while seamlessly incorporating location-based information. It effectively indexes data across both spatial and temporal dimensions, enabling robust data management. The system is designed for rapid back-filling of time series data, which facilitates the integration of substantial amounts of historical data points. Typically, time series refers to a set of data points organized in chronological order, but in the case of JaguarDB, it includes not only a sequence of data points but also multiple tick tables that contain aggregated data values for specified time intervals. For example, a time series table within JaguarDB could feature a primary table that organizes data points sequentially, alongside tick tables representing different time frames, such as 5 minutes, 15 minutes, hourly, daily, weekly, and monthly, which hold aggregated data for those intervals. The RETENTION structure resembles the TICK format but allows for a versatile number of retention periods, specifying how long data points in the base table are kept. This design empowers users to efficiently supervise and analyze historical data tailored to their unique requirements, ultimately enhancing their data-driven decision-making processes. By providing such comprehensive functionalities, JaguarDB stands out as a powerful tool for managing time series data.

Media

Media

Integrations Supported

APERIO DataWise
AccessOwl
DataClarity Unlimited Analytics
Dataplane
HighByte Intelligence Hub
Last9
Mode
MyDBA.dev
Ndustrial Contxt
NexClipper
PostgreSQL
Pro Edition for Eclipse Mosquitto
QStudio
Tiger Data
TrendMiner
Visplore
Wyn Enterprise
n8n

Integrations Supported

APERIO DataWise
AccessOwl
DataClarity Unlimited Analytics
Dataplane
HighByte Intelligence Hub
Last9
Mode
MyDBA.dev
Ndustrial Contxt
NexClipper
PostgreSQL
Pro Edition for Eclipse Mosquitto
QStudio
Tiger Data
TrendMiner
Visplore
Wyn Enterprise
n8n

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tiger Data

Date Founded

2015

Company Location

United States

Company Website

www.tigerdata.com/timescaledb

Company Facts

Organization Name

JaguarDB

Company Website

www.datajaguar.com

Categories and Features

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

Categories and Features

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

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