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DBMS > Amazon Aurora vs. Atos Standard Common Repository vs. Heroic vs. Weaviate

System Properties Comparison Amazon Aurora vs. Atos Standard Common Repository vs. Heroic vs. Weaviate

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHeroic  Xexclude from comparisonWeaviate  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMSVector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteaws.amazon.com/­rds/­auroraatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­spotify/­heroicgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlspotify.github.io/­heroicweaviate.io/­developers/­weaviate
DeveloperAmazonAtos Convergence CreatorsSpotifyWeaviate B.V.
Initial release2015201620142019
Current release17031.19, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 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 languageJavaJavaGo
Server operating systemshostedLinux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesoptionalyesyes 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.yesyesnono
Secondary indexesyesyesyes infovia Elasticsearchyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnonoGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
LDAPHQL (Heroic Query Language, a JSON-based language)
HTTP API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages with LDAP bindingsJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesnonono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic 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.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon AuroraAtos Standard Common RepositoryHeroicWeaviate
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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More resources
Amazon AuroraAtos Standard Common RepositoryHeroicWeaviate
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