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DBMS > Apache Druid vs. Bangdb vs. Geode vs. RDF4J

System Properties Comparison Apache Druid vs. Bangdb vs. Geode vs. RDF4J

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBangdb  Xexclude from comparisonGeode  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataConverged and high performance database for device data, events, time series, document and graphGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Time Series DBMS
Key-value storeRDF store
Secondary database modelsSpatial 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
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websitedruid.apache.orgbangdb.comgeode.apache.orgrdf4j.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.bangdb.comgeode.apache.org/­docsrdf4j.org/­documentation
DeveloperApache Software Foundation and contributorsSachin Sinha, BangDBOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2012201220022004
Current release29.0.1, April 2024BangDB 2.0, October 20211.1, February 2017
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD 3Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++JavaJava
Server operating systemsLinux
OS X
Unix
LinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Unix
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLSQL for queryingSQL like support with command line toolSQL-like query language (OQL)no
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functionsyes
Triggersnoyes, Notifications (with Streaming only)yes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes (enterprise version only)Access rights per client and object definableno

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More resources
Apache DruidBangdbGeodeRDF4J infoformerly known as Sesame
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