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DBMS > Amazon Neptune vs. ObjectBox vs. OpenMLDB vs. Sphinx vs. STSdb

System Properties Comparison Amazon Neptune vs. ObjectBox vs. OpenMLDB vs. Sphinx vs. STSdb

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonObjectBox  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudExtremely fast embedded database for small devices, IoT and MobileAn open-source machine learning database that provides a feature platform for training and inferenceOpen source search engine for searching in data from different sources, e.g. relational databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelGraph DBMS
RDF store
Object oriented DBMSTime Series DBMSSearch engineKey-value store
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
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.10
Rank#357  Overall
#51  Key-value stores
Websiteaws.amazon.com/­neptuneobjectbox.ioopenmldb.aisphinxsearch.comgithub.com/­STSSoft/­STSdb4
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.objectbox.ioopenmldb.ai/­docs/­zh/­mainsphinxsearch.com/­docs
DeveloperAmazonObjectBox Limited4 Paradigm Inc.Sphinx Technologies Inc.STS Soft SC
Initial release20172017202020012011
Current release2024-2 February 20243.5.1, February 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++, Java, ScalaC++C#
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeschema-freeyesFixed schemayesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes infoprimitive types and user defined types (classes)
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.nonono
Secondary indexesnoyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnonoyesSQL-like query language (SphinxQL)no
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary native APIJDBC
SQLAlchemy
Proprietary protocol.NET Client API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++
Go
Java
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
Server-side scripts infoStored proceduresnonononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportednone
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.online/offline synchronization between client and serverSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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-standardnono
More information provided by the system vendor
Amazon NeptuneObjectBoxOpenMLDBSphinxSTSdb
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