TimescaleDB

TimescaleDB

Tiger Data
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About

Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures.

About

TimescaleDB is the leading time-series database built on PostgreSQL, designed to handle massive volumes of real-time data efficiently. It enables organizations to store, analyze, and query time-series data — such as IoT sensor data, financial transactions, or event logs — using standard SQL. With hypertables, TimescaleDB automatically partitions data by time and ID for fast ingestion and predictable query performance. Its compression engine reduces storage costs by up to 95%, while continuous aggregates make real-time dashboards instantly responsive. Fully compatible with PostgreSQL, it integrates seamlessly with existing tools and applications. TimescaleDB combines the simplicity of Postgres with the scalability and speed of a specialized analytical system.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies and users looking for an open source distributed data store solution for database analysis

Audience

Developers, data engineers, and analytics teams who need high-performance, PostgreSQL-compatible time-series storage and querying for IoT, fintech, DevOps, or event-driven applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Druid
Founded: 2013
druid.apache.org/technology

Company Information

Tiger Data
Founded: 2015
United States
www.tigerdata.com/timescaledb

Alternatives

Alternatives

Apache Drill

Apache Drill

The Apache Software Foundation
InfluxDB

InfluxDB

InfluxData
CelerData Cloud

CelerData Cloud

CelerData
DataPortia

DataPortia

Atorcom

Categories

Categories

Integrations

APERIO DataWise
AccessOwl
Amazon Web Services (AWS)
Amundsen
Apache Kafka
Apache Superset
Astro by Astronomer
Azure Marketplace
DataClarity Unlimited Analytics
DataHub
Deep.BI
Hue
Mode
PostgreSQL
QStudio
RazorSQL
Stackable
n8n

Integrations

APERIO DataWise
AccessOwl
Amazon Web Services (AWS)
Amundsen
Apache Kafka
Apache Superset
Astro by Astronomer
Azure Marketplace
DataClarity Unlimited Analytics
DataHub
Deep.BI
Hue
Mode
PostgreSQL
QStudio
RazorSQL
Stackable
n8n
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Claim Apache Druid and update features and information
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