Audience

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

About Apache Druid

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.

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Pricing

Free Version:
Free Version available.

Integrations

API:
Yes, Apache Druid offers API access
See Integrations

Ratings/Reviews

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Company Information

Druid
Founded: 2013
druid.apache.org/technology

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Apache Druid Frequently Asked Questions

Q: What kinds of users and organization types does Apache Druid work with?
Q: What languages does Apache Druid support in their product?
Q: What kind of support options does Apache Druid offer?
Q: What other applications or services does Apache Druid integrate with?
Q: Does Apache Druid have an API?
Q: What type of training does Apache Druid provide?

Apache Druid Product Features

Big Data

Templates Not Supported
Data Visualization Not Supported
Collaboration Not Supported
Data Blends Not Supported
Data Cleansing Not Supported
Data Warehousing Not Supported
High Volume Processing Not Supported
Data Mining Not Supported
No-Code Sandbox Not Supported
Predictive Analytics Not Supported

Data Warehouse

In-Memory Processing Not Supported
Match & Merge Not Supported
ETL - Extract / Transfer / Load Not Supported
Data Migration Not Supported
Ad hoc Query Not Supported
Data Quality Control Not Supported
Analytics Not Supported
Data Integration Not Supported

Relational Database

ACID Compliance Not Supported
Referential Integrity Not Supported
Unicode Support Not Supported
Multi-Platform Not Supported
Data Failure Recovery Not Supported
SQL DDL Support Not Supported
SQL DML Support Not Supported
System Catalog Not Supported