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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. etcd vs. Weaviate

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. etcd vs. Weaviate

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonetcd  Xexclude from comparisonWeaviate  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 networksA distributed reliable key-value storeAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeDocument store
Key-value store
Key-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score7.64
Rank#54  Overall
#5  Key-value stores
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositoryetcd.io
github.com/­etcd-io/­etcd
github.com/­weaviate/­weaviate
weaviate.io
Technical documentationaws.amazon.com/­documentdb/­resourcesetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
weaviate.io/­developers/­weaviate
DeveloperAtos Convergence CreatorsWeaviate B.V.
Initial release201920162019
Current release17033.4, August 20191.19, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infocommercial license available with Weaviate Enterprise
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 languageJavaGoGo
Server operating systemshostedLinuxFreeBSD
Linux
Windows infoexperimental
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesoptionalnoyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.noyesnono
Secondary indexesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnononoGraphQL is used as query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPgRPC
JSON over HTTP
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnononono
Triggersnoyesyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes
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 ConsistencyEventual 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 operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon DocumentDBAtos Standard Common RepositoryetcdWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DocumentDBAtos Standard Common RepositoryetcdWeaviate
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