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DBMS > Atos Standard Common Repository vs. Geode vs. searchxml vs. Sqrrl vs. Vitess

System Properties Comparison Atos Standard Common Repository vs. Geode vs. searchxml vs. Sqrrl vs. Vitess

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeode  Xexclude from comparisonsearchxml  Xexclude from comparisonSqrrl  Xexclude from comparisonVitess  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesDBMS for structured and unstructured content wrapped with an application serverAdaptable, secure NoSQL built on Apache AccumuloScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Key-value store
Key-value storeNative XML DBMS
Search engine
Document store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygeode.apache.orgwww.searchxml.net/­category/­productssqrrl.comvitess.io
Technical documentationgeode.apache.org/­docswww.searchxml.net/­support/­handoutsvitess.io/­docs
DeveloperAtos Convergence CreatorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.informationpartners gmbhAmazon infooriginally Sqrrl Data, Inc.The Linux Foundation, PlanetScale
Initial release20162002201520122013
Current release17031.1, February 20171.015.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialcommercialOpen Source infoApache Version 2.0, commercial licenses available
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 languageJavaJavaC++JavaGo
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredWindowsLinuxDocker
Linux
macOS
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query language (OQL)nonoyes infowith proprietary extensions
APIs and other access methodsLDAPJava Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
All JVM based languages
C++
Groovy
Java
Scala
C++ infomost other programming languages supported via APIsActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsyes infoon the application servernoyes infoproprietary syntax
Triggersyesyes infoCache Event Listenersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes infosychronisation to multiple collectionsselectable replication factor infomaking use of HadoopMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyes, on a single nodemultiple readers, single writerAtomic updates per row, document, or graph entityACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationAccess rights per client and object definableDomain, group and role-based access control at the document level and for application servicesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Users with fine-grained authorization concept infono user groups or roles

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More resources
Atos Standard Common RepositoryGeodesearchxmlSqrrlVitess
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