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DBMS > Apache Druid vs. Atos Standard Common Repository vs. eXtremeDB vs. Graph Engine vs. H2GIS

System Properties Comparison Apache Druid vs. Atos Standard Common Repository vs. eXtremeDB vs. Graph Engine vs. H2GIS

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonH2GIS  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksNatively in-memory DBMS with options for persistency, high-availability and clusteringA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineSpatial extension of H2
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Relational DBMS
Time Series DBMS
Graph DBMS
Key-value store
Spatial DBMS
Secondary database modelsRelational 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
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Websitedruid.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.mcobject.comwww.graphengine.iowww.h2gis.org
Technical documentationdruid.apache.org/­docs/­latest/­designwww.mcobject.com/­docs/­extremedb.htmwww.graphengine.io/­docs/­manualwww.h2gis.org/­docs/­home
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsMcObjectMicrosoftCNRS
Initial release20122016200120102013
Current release29.0.1, April 202417038.2, 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoMIT LicenseOpen Source infoLGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++.NET and CJava
Server operating systemsLinux
OS X
Unix
LinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
.NET
Data schemeyes infoschema-less columns are supportedSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesno infosupport of XML interfaces availablenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingnoyes infowith the option: eXtremeSQLnoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
LDAP.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindings.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
F#
Visual Basic
Java
Server-side scripts infoStored proceduresnonoyesyesyes infobased on H2
Triggersnoyesyes infoby defining eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infocell divisionhorizontal partitioning / shardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infobased on H2
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationyes infobased on H2
More information provided by the system vendor
Apache DruidAtos Standard Common RepositoryeXtremeDBGraph Engine infoformer name: TrinityH2GIS
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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Apache DruidAtos Standard Common RepositoryeXtremeDBGraph Engine infoformer name: TrinityH2GIS
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