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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Geode vs. Solr

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Geode vs. Solr

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonGeode  Xexclude from comparisonSolr  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 networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Key-value store
Document storeKey-value storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score1.92
Rank#131  Overall
#23  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comgeode.apache.orgsolr.apache.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestgeode.apache.org/­docssolr.apache.org/­resources.html
DeveloperAtos Convergence CreatorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software Foundation
Initial release2016201620022006
Current release17031.1, February 20179.5.0, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonJavaJava
Server operating systemsLinuxLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateoptionalnoyesyes infosupports customizable data types and automatic typing
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.yesnonoyes
Secondary indexesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoSQL-like query language (OQL)Solr Parallel SQL Interface
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsJava plugins
Triggersyesyes infoCache Event Listenersyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyes, on a single nodeoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlLDAP bind authenticationyesAccess rights per client and object definableyes

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More resources
Atos Standard Common RepositoryBigchainDBGeodeSolr
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