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DBMS > Atos Standard Common Repository vs. Druid vs. GridGain

System Properties Comparison Atos Standard Common Repository vs. Druid vs. GridGain

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDruid  Xexclude from comparisonGridGain  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksOpen-source analytics data store designed for OLAP queries on timeseries dataGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelDocument store
Key-value store
Relational DBMS
Time Series DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.83
Rank#115  Overall
#57  Relational DBMS
#7  Time Series DBMS
Score1.60
Rank#124  Overall
#22  Key-value stores
#61  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorydruid.apache.orgwww.gridgain.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.gridgain.com/­docs/­latest
DeveloperAtos Convergence CreatorsMetamarkets Group and contributorsGridGain Systems, Inc.
Initial release201620122007
Current release1703GridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava, C++, .Net
Server operating systemsLinuxLinux
OS X
Unix
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateoptionalyesyes
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.yesnoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL support via Apache Calcite adapterANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsLDAPJSON over HTTPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesAll languages with LDAP bindingsClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)
Triggersyesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlLDAP bind authenticationno infoavailable via extensionsSecurity Hooks for custom implementations

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More resources
Atos Standard Common RepositoryDruidGridGain
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