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DBMS > Atos Standard Common Repository vs. Dgraph vs. GeoMesa vs. HBase vs. Ignite

System Properties Comparison Atos Standard Common Repository vs. Dgraph vs. GeoMesa vs. HBase vs. Ignite

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDgraph  Xexclude from comparisonGeoMesa  Xexclude from comparisonHBase  Xexclude from comparisonIgnite  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 networksDistributed and scalable native Graph DBMSGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Wide-column store based on Apache Hadoop and on concepts of BigTableApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelDocument store
Key-value store
Graph DBMSSpatial DBMSWide column storeKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorydgraph.iowww.geomesa.orghbase.apache.orgignite.apache.org
Technical documentationdgraph.io/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmlhbase.apache.org/­book.htmlapacheignite.readme.io/­docs
DeveloperAtos Convergence CreatorsDgraph Labs, Inc.CCRi and othersApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation
Initial release20162016201420082015
Current release17034.0.5, February 20242.3.4, January 2021Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache License 2.0Open Source infoApache version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoScalaJavaC++, Java, .Net
Server operating systemsLinuxLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateoptionalyesyesoptions to bring your own types, AVROyes
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.yesnononoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnonononoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsLDAPGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
RESTful HTTP API
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesAll languages with LDAP bindingsC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnononoyes infoCoprocessors in Javayes (compute grid and cache interceptors can be used instead)
Triggersyesnonoyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyesdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via Raftdepending on storage layerMulti-source replication
Source-replica replication
yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistencydepending on storage layerImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layeryesyes
User concepts infoAccess controlLDAP bind authenticationno infoPlanned for future releasesyes infodepending on the DBMS used for storageAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACSecurity Hooks for custom implementations

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More resources
Atos Standard Common RepositoryDgraphGeoMesaHBaseIgnite
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