DBMS > Apache Druid vs. OrientDB vs. SwayDB vs. Yaacomo

System Properties Comparison Apache Druid vs. OrientDB vs. SwayDB vs. Yaacomo

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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

Multi-model DBMS (Document, Graph, Key/Value)

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing

Primary database model

Relational DBMS
Time Series DBMS

Document store
Graph DBMS
Key-value store

Key-value store

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	2.67
Rank	#107	Overall
	#53	Relational DBMS
	#7	Time Series DBMS

Score	5.33
Rank	#68	Overall
	#10	Document stores
	#3	Graph DBMS
	#10	Key-value stores

Score	0.07
Rank	#306	Overall
	#47	Key-value stores

Score	0.00
Rank	#335	Overall
	#139	Relational DBMS

Website

Technical documentation

druid.apache.org/docs/latest/design

www.orientdb.com/docs/last/index.html

Developer

Apache Software Foundation and contributors

OrientDB LTD; CallidusCloud; SAP

Simer Plaha

Q2WEB GmbH

Initial release

2012

2010

2018

2009

Current release

0.20.0, October 2020

3.1.0, June 2020

License

Commercial or Open Source

Open Source

Apache license v2

Open Source

Apache version 2

Open Source

GNU Affero GPL V3.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Scala

Server operating systems

Linux
OS X
Unix

All OS with a Java JDK (>= JDK 6)

Android
Linux
Windows

Data scheme

yes

schema-less columns are supported

schema-free

Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")

schema-free

yes

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

SQL-like query language, no joins

yes

APIs and other access methods

JDBC
RESTful HTTP/JSON API

Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API

JDBC
ODBC

Supported programming languages

Clojure
JavaScript
PHP
Python
R
Ruby
Scala

.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala

Java
Kotlin
Scala

Server-side scripts

Stored procedures

Java, Javascript

Triggers

Hooks

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

manual/auto, time-based

Sharding

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes, via HDFS, S3 or other storage engines

Multi-source replication

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

could be achieved with distributed queries

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

relationship in graphs

yes

Transaction concepts

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

ACID

Atomic execution of operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

User concepts

Access control

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

Access rights for users and roles; record level security configurable

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

Recent citations in the news

The insideBIGDATA IMPACT 50 List for Q1 2021
5 January 2021, insideBIGDATA

Apache Druid Adds Ranger Integration
24 August 2020, iProgrammer

Apache Druid Improves Compaction
4 February 2020, iProgrammer

Introducing Apache Druid
17 January 2020, insideBIGDATA

Druid Developer Expands Query Options
17 April 2020, Datanami

provided by Google News

Global Graph Database Market for robust expansion throughout the forecast period 2020-2026
13 January 2021, KSU | The Sentinel Newspaper

Global NoSQL Software Market 2020 Set To See Future Growth till 2024: Key Contributors MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic, RethinkDB, CouchDB, SQL-RD, OrientDB, RavenDB, Redis, Microsoft
14 January 2021, Jumbo News

NoSQL Software Market Advancement 2021 with Industry Growth Factors, Segmented Data, Key Players and Forecast 2026 | MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, and More
6 January 2021, KSU | The Sentinel Newspaper

Graph Database Market Research, Industry Overview by Key Players – Tibco Software, Neo4j, AWS, Microsoft, OrientDB Ltd, triAGENS GmbH(Arango DB), Cray, MarkLogic, Franz Inc(AllegroGraph), Bitnine Global, Cayley, Twitter(FlockDB), Teradata(SQL-GR), IBM, SAP, Apache, Oracle, Titan, Marklogic, HyperGraphDB, Datastax
12 January 2021, Jumbo News

Global Document Databases Software Market Share By Top Key Players- MongoDB Amazon ArangoDB Azure Cosmos DB Couchbase MarkLogic RethinkDB CouchDB SQL-RD OrientDB RavenDB Redis
12 January 2021, Jumbo News

provided by Google News

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