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DBMS > Apache Druid vs. OrientDB vs. Sadas Engine vs. SwayDB

System Properties Comparison Apache Druid vs. OrientDB vs. Sadas Engine vs. SwayDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonOrientDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMulti-model DBMS (Document, Graph, Key/Value)SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.67
Rank#107  Overall
#53  Relational DBMS
#7  Time Series DBMS
Score5.33
Rank#68  Overall
#10  Document stores
#3  Graph DBMS
#10  Key-value stores
Score0.00
Rank#333  Overall
#138  Relational DBMS
Score0.07
Rank#306  Overall
#47  Key-value stores
Websitedruid.apache.orgorientdb.orgwww.sadasengine.comswaydb.io
Technical documentationdruid.apache.org/­docs/­latest/­designwww.orientdb.com/­docs/­last/­index.htmlwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperApache Software Foundation and contributorsOrientDB LTD; CallidusCloud; SAPSADAS s.r.l.Simer Plaha
Initial release2012201020062018
Current release0.20.0, October 20203.1.0, June 20208.0
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2commercial infofree trial version availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Scala
Server operating systemsLinux
OS X
Unix
All OS with a Java JDK (>= JDK 6)AIX
Linux
Windows
Data schemeyes infoschema-less columns are supportedschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL for queryingSQL-like query language, no joinsyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoJava, Javascriptnono
TriggersnoHooksnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and roles; record level security configurableAccess rights for users, groups and roles according to SQL-standardno

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More resources
Apache DruidOrientDBSadas EngineSwayDB
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