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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. Manticore Search vs. RavenDB

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. Manticore Search vs. RavenDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonManticore Search  Xexclude from comparisonRavenDB  Xexclude from comparison
This system has been discontinued and will be 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 networksMulti-storage database for search, including full-text search.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument storeDocument store
Key-value store
Search engineDocument store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score2.92
Rank#101  Overall
#18  Document stores
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorymanticoresearch.comravendb.net
Technical documentationaws.amazon.com/­documentdb/­resourcesmanual.manticoresearch.comravendb.net/­docs
DeveloperAtos Convergence CreatorsManticore SoftwareHibernating Rhinos
Initial release2019201620172010
Current release17036.0, February 20235.4, July 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C#
Server operating systemshostedLinuxFreeBSD
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsFixed schemaschema-free
Typing infopredefined data types such as float or dateyesoptionalInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanno
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.noyesCan index from XML
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query language (RQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindingsElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functionsyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesSynchronous replication based on Galera libraryMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsyes infoisolated transactions for atomic changes and binary logging for safe writesACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationnoAuthorization levels configured per client per database

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More resources
Amazon DocumentDBAtos Standard Common RepositoryManticore SearchRavenDB
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