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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

TigerData is a high-performance, cloud-native PostgreSQL platform built for real-time analytics, time-series processing, vector workloads and intelligent agent-driven applications. It retains full SQL compatibility while delivering exceptional speed and scale: the platform powers millions of databases, supports streaming data across devices and applications, and enables organizations to consolidate transactional and analytical workloads in a single engine. TigerData enhances PostgreSQL with extensions and execution optimizations that provide low-latency queries, high-concurrency insert rates, hybrid operational/analytical use cases and vector embedding support for AI-driven workloads. Developers gain simplicity and reliability by staying within PostgreSQL’s ecosystem, familiar tools, connectors and syntax, while unlocking performance on par with purpose-built time-series or vector engines.

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

Data engineers and platform teams looking for an SQL-based database tool to handle high-volume real-time analytics, time-series data and vector workloads without adding separate specialized stores

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

$30 per month
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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Review this Software

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

TigerData
Founded: 2015
United States
www.tigerdata.com

Alternatives

Alternatives

RaimaDB

RaimaDB

Raima
Apache Drill

Apache Drill

The Apache Software Foundation
Apache Doris

Apache Doris

The Apache Software Foundation
CelerData Cloud

CelerData Cloud

CelerData
InfluxDB

InfluxDB

InfluxData

Categories

Categories

Integrations

Apache Kafka
Acryl Data
Amazon S3
Amazon Web Services (AWS)
Astro by Astronomer
Azure Marketplace
CelerData Cloud
DataHub
Datadog
Deep.BI
Hue
Imply
LangChain
Manticore Search
OpenMetadata
SQL
Stackable
StrongDM
WisdomAI

Integrations

Apache Kafka
Acryl Data
Amazon S3
Amazon Web Services (AWS)
Astro by Astronomer
Azure Marketplace
CelerData Cloud
DataHub
Datadog
Deep.BI
Hue
Imply
LangChain
Manticore Search
OpenMetadata
SQL
Stackable
StrongDM
WisdomAI
Claim Apache Druid and update features and information
Claim Apache Druid and update features and information
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