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DBMS > Apache Druid vs. Greenplum vs. Hypertable vs. RDFox

System Properties Comparison Apache Druid vs. Greenplum vs. Hypertable vs. RDFox

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGreenplum  Xexclude from comparisonHypertable  Xexclude from comparisonRDFox  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.An open source BigTable implementation based on distributed file systems such as HadoopHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSWide column storeGraph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Websitedruid.apache.orggreenplum.orgwww.oxfordsemantic.tech
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.greenplum.orgdocs.oxfordsemantic.tech
DeveloperApache Software Foundation and contributorsPivotal Software Inc.Hypertable Inc.Oxford Semantic Technologies
Initial release2012200520092017
Current release30.0.0, June 20247.0.0, September 20230.9.8.11, March 20166.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Unix
LinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyes infosince Version 4.2
Secondary indexesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL for queryingyesnono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
C++ API
Thrift
RESTful HTTP API
SPARQL 1.1
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
Java
Perl
Python
R
C++
Java
Perl
PHP
Python
Ruby
C
Java
Server-side scripts infoStored proceduresnoyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationselectable replication factor on file system levelreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardnoRoles, resources, and access types

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More resources
Apache DruidGreenplumHypertableRDFox
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