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

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

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonManticore Search  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 networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMulti-storage database for search, including full-text search.
Primary database modelDocument storeDocument store
Key-value store
Relational DBMSSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.commanticoresearch.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.datomic.commanual.manticoresearch.com
DeveloperAtos Convergence CreatorsCognitectManticore Software
Initial release2019201620122017
Current release17031.0.6735, June 20236.0, February 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source infoGPL version 2
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 languageJavaJava, ClojureC++
Server operating systemshostedLinuxAll OS with a Java VMFreeBSD
Linux
macOS
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsyesFixed schema
Typing infopredefined data types such as float or dateyesoptionalyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.noyesnoCan index from XML
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPRESTful HTTP APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindingsClojure
Java
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionsuser defined functions
TriggersnoyesBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnone infoBut extensive use of caching in the application peersSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesnone infoBut extensive use of caching in the application peersSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
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 operationsACIDyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and development
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationnono

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More resources
Amazon DocumentDBAtos Standard Common RepositoryDatomicManticore Search
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