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DBMS > Amazon Neptune vs. ObjectBox vs. OpenMLDB vs. Weaviate

System Properties Comparison Amazon Neptune vs. ObjectBox vs. OpenMLDB vs. Weaviate

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonObjectBox  Xexclude from comparisonOpenMLDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsAn open-source machine learning database that provides a feature platform for training and inferenceAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelGraph DBMS
RDF store
Object oriented DBMS
Vector DBMS
Time Series DBMSVector DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websiteaws.amazon.com/­neptunegithub.com/­objectbox
objectbox.io
openmldb.aigithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.objectbox.ioopenmldb.ai/­docs/­zh/­mainweaviate.io/­developers/­weaviate
DeveloperAmazonObjectBox Limited4 Paradigm Inc.Weaviate B.V.
Initial release2017201720202019
Current release4.0 (May 2024)2024-2 February 20241.19, May 2023
License infoCommercial or Open SourcecommercialBindings are released under Apache 2.0 infoApache License 2.0Open SourceOpen 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 languageC and C++C++, Java, ScalaGo
Server operating systemshostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
Data schemeschema-freeyesFixed schemayes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesyesyes 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.nononono
Secondary indexesnoyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoyesGraphQL is used as query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary native APIJDBC
SQLAlchemy
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C++
Go
Java
Python
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Data sync between devices allowing occasional connected databases to work completely offlineSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon NeptuneObjectBoxOpenMLDBWeaviate
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
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