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DBMS > Atos Standard Common Repository vs. OrientDB vs. searchxml vs. Sqrrl vs. Transwarp Hippo

System Properties Comparison Atos Standard Common Repository vs. OrientDB vs. searchxml vs. Sqrrl vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonOrientDB  Xexclude from comparisonsearchxml  Xexclude from comparisonSqrrl  Xexclude from comparisonTranswarp Hippo  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 networksMulti-model DBMS (Document, Graph, Key/Value)DBMS for structured and unstructured content wrapped with an application serverAdaptable, secure NoSQL built on Apache AccumuloCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Key-value store
Native XML DBMS
Search engine
Document store
Graph DBMS
Key-value store
Wide column store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryorientdb.orgwww.searchxml.net/­category/­productssqrrl.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationwww.orientdb.com/­docs/­last/­index.htmlwww.searchxml.net/­support/­handouts
DeveloperAtos Convergence CreatorsOrientDB LTD; CallidusCloud; SAPinformationpartners gmbhAmazon infooriginally Sqrrl Data, Inc.
Initial release20162010201520122023
Current release17033.2.29, March 20241.01.0, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercialcommercial
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++JavaC++
Server operating systemsLinuxAll OS with a Java JDK (>= JDK 6)WindowsLinuxLinux
macOS
Data schemeSchema and schema-less with LDAP viewsschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyesVector, Numeric and String
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.yesnoyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoSQL-like query language, no joinsnonono
APIs and other access methodsLDAPTinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
RESTful HTTP API
WebDAV
XQuery
XSLT
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
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
C++
Java
Python
Server-side scripts infoStored proceduresnoJava, Javascriptyes infoon the application servernono
TriggersyesHooksnonono
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 Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocould be achieved with distributed queriesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDmultiple readers, single writerAtomic updates per row, document, or graph entityno
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.yesnoyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and roles; record level security configurableDomain, 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)Role based access control and fine grained access rights

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More resources
Atos Standard Common RepositoryOrientDBsearchxmlSqrrlTranswarp Hippo
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