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DBMS > Apache Druid vs. Geode vs. openGauss vs. RDFox

System Properties Comparison Apache Druid vs. Geode vs. openGauss vs. RDFox

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGeode  Xexclude from comparisonopenGauss  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitedruid.apache.orggeode.apache.orggitee.com/­opengauss
opengauss.org
www.oxfordsemantic.tech
Technical documentationdruid.apache.org/­docs/­latest/­designgeode.apache.org/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.oxfordsemantic.tech
DeveloperApache Software Foundation and contributorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Huawei and openGauss communityOxford Semantic Technologies
Initial release2012200220192017
Current release29.0.1, April 20241.1, February 20173.0, March 20226.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; commercial licenses available as GemfireOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, C++, JavaC++
Server operating systemsLinux
OS X
Unix
All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
macOS
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL for queryingSQL-like query language (OQL)ANSI SQL 2011no
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
SPARQL 1.1
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Java
C
Java
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersnoyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationSource-replica replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights per client and object definableAccess rights for users, groups and roles according to SQL-standardRoles, resources, and access types

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More resources
Apache DruidGeodeopenGaussRDFox
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