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DBMS > Amazon Neptune vs. OrigoDB vs. Solr vs. STSdb

System Properties Comparison Amazon Neptune vs. OrigoDB vs. Solr vs. STSdb

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonOrigoDB  Xexclude from comparisonSolr  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA fully ACID in-memory object graph databaseA widely used distributed, scalable search engine based on Apache LuceneKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelGraph DBMS
RDF store
Document store
Object oriented DBMS
Search engineKey-value store
Secondary database modelsSpatial 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
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.10
Rank#357  Overall
#51  Key-value stores
Websiteaws.amazon.com/­neptuneorigodb.comsolr.apache.orggithub.com/­STSSoft/­STSdb4
Technical documentationaws.amazon.com/­neptune/­developer-resourcesorigodb.com/­docssolr.apache.org/­resources.html
DeveloperAmazonRobert Friberg et alApache Software FoundationSTS Soft SC
Initial release20172009 infounder the name LiveDB20062011
Current release9.6.1, May 20244.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache Version 2Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaC#
Server operating systemshostedLinux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Windows
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes infosupports customizable data types and automatic typingyes 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.nono infocan be achieved using .NETyes
Secondary indexesnoyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnonoSolr Parallel SQL Interfaceno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.NET Client API
HTTP API
LINQ
Java API
RESTful HTTP/JSON API
.NET Client API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
Java
Server-side scripts infoStored proceduresnoyesJava pluginsno
Triggersnoyes infoDomain Eventsyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedShardingnone
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.Source-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsdepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role based authorizationyesno

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More resources
Amazon NeptuneOrigoDBSolrSTSdb
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