DBMS > Apache Druid vs. BigchainDB

System Properties Comparison Apache Druid vs. BigchainDB

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Our visitors often compare Apache Druid and BigchainDB with Cassandra, MongoDB and PostgreSQL.

Editorial information provided by DB-Engines

Name

Description

Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data

BigchainDB is scalable blockchain database offering decentralization, immutability and native assets

Primary database model

Relational DBMS
Time Series DBMS

Document store

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Score	2.63
Rank	#101	Overall
	#50	Relational DBMS
	#7	Time Series DBMS

Score	0.75
Rank	#199	Overall
	#30	Document stores

Website

druid.apache.org

www.bigchaindb.com

Technical documentation

druid.apache.org/docs/latest/design

bigchaindb.readthedocs.io/en/latest

Developer

Apache Software Foundation and contributors

Initial release

2012

2016

Current release

0.20.2, March 2021

License

Commercial or Open Source

Open Source

Apache license v2

Open Source

AGPL v3

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Java

Python

Server operating systems

Linux
OS X
Unix

Linux

Data scheme

yes

schema-less columns are supported

schema-free

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

SQL for querying

APIs and other access methods

JDBC
RESTful HTTP/JSON API

CLI Client
RESTful HTTP API

Supported programming languages

Clojure
JavaScript
PHP
Python
R
Ruby
Scala

Go
Haskell
Java
JavaScript
Python
Ruby

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

manual/auto, time-based

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes, via HDFS, S3 or other storage engines

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes,with MongoDB ord RethinkDB

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

yes

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