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

ClickHouse is a fast open-source OLAP database management system. It is column-oriented and allows to generate analytical reports using SQL queries in real-time. ClickHouse's performance exceeds comparable column-oriented database management systems currently available on the market. It processes hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. ClickHouse uses all available hardware to its full potential to process each query as fast as possible. Peak processing performance for a single query stands at more than 2 terabytes per second (after decompression, only used columns). In distributed setup reads are automatically balanced among healthy replicas to avoid increasing latency. ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters. All nodes are equal, which allows avoiding having single points of failure.

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

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

Companies of all sizes

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

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

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 5.0 / 5
ease 3.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5

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

Training

Documentation
Webinars
Live Online
In Person

Company Information

Druid
Founded: 2013
druid.apache.org/technology

Company Information

ClickHouse
Founded: 2021
United States
clickhouse.com

Company Information

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

Alternatives

Alternatives

Alternatives

Apache Drill

Apache Drill

The Apache Software Foundation
InfluxDB

InfluxDB

InfluxData
CelerData Cloud

CelerData Cloud

CelerData
CelerData Cloud

CelerData Cloud

CelerData
DataPortia

DataPortia

Atorcom

Categories

Categories

Categories

Integrations

AccessOwl
Apache Kafka
AtomicJar
Chat2DB
Dash0
Dataplane
Doctor Droid
Google Cloud Platform
Gravity Data
Hydrolix
Imply
MindsDB
Netdata
One-IoT Device Management
Peaka
PostgreSQL
Powerslide
Sematext Cloud
SigNoz
Yandex Data Transfer

Integrations

AccessOwl
Apache Kafka
AtomicJar
Chat2DB
Dash0
Dataplane
Doctor Droid
Google Cloud Platform
Gravity Data
Hydrolix
Imply
MindsDB
Netdata
One-IoT Device Management
Peaka
PostgreSQL
Powerslide
Sematext Cloud
SigNoz
Yandex Data Transfer

Integrations

AccessOwl
Apache Kafka
AtomicJar
Chat2DB
Dash0
Dataplane
Doctor Droid
Google Cloud Platform
Gravity Data
Hydrolix
Imply
MindsDB
Netdata
One-IoT Device Management
Peaka
PostgreSQL
Powerslide
Sematext Cloud
SigNoz
Yandex Data Transfer
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