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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. ITTIA vs. searchxml vs. Sqrrl

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. ITTIA vs. searchxml vs. Sqrrl

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonITTIA  Xexclude from comparisonsearchxml  Xexclude from comparisonSqrrl  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.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksEdge Time Series DBMS with Real-Time Stream ProcessingDBMS for structured and unstructured content wrapped with an application serverAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument storeDocument store
Key-value store
Time Series DBMSNative XML DBMS
Search engine
Document store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ittia.comwww.searchxml.net/­category/­productssqrrl.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.searchxml.net/­support/­handouts
DeveloperAtos Convergence CreatorsITTIA L.L.C.informationpartners gmbhAmazon infooriginally Sqrrl Data, Inc.
Initial release20192016200720152012
Current release17038.71.0
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++Java
Server operating systemshostedLinuxLinux
Windows
WindowsLinux
Data schemeschema-freeSchema and schema-less with LDAP viewsFixed schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyes
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.noyesnoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPJDBC
ODBC
RESTful HTTP API
WebSocket
RESTful HTTP API
WebDAV
XQuery
XSLT
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindingsC
C++
JavaScript (Node.js)
Python
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
Server-side scripts infoStored proceduresnonoyesyes infoon the application serverno
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyesyes infosychronisation to multiple collectionsselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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.
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsyesmultiple readers, single writerAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesno
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationDatabase file passwordsDomain, 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)

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More resources
Amazon DocumentDBAtos Standard Common RepositoryITTIAsearchxmlSqrrl
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