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

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

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonOrigoDB  Xexclude from comparisonSolr  Xexclude from comparisonVoltDB  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 LuceneDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelGraph DBMS
RDF store
Document store
Object oriented DBMS
Search engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websiteaws.amazon.com/­neptuneorigodb.comsolr.apache.orgwww.voltdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesorigodb.com/­docssolr.apache.org/­resources.htmldocs.voltdb.com
DeveloperAmazonRobert Friberg et alApache Software FoundationVoltDB Inc.
Initial release20172009 infounder the name LiveDB20062010
Current release9.6.0, April 202411.3, April 2022
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache Version 2Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaJava, C++
Server operating systemshostedLinux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X infofor development
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
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 indexedyes
SQL infoSupport of SQLnonoSolr Parallel SQL Interfaceyes infoonly a subset of SQL 99
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
Java API
JDBC
RESTful HTTP/JSON 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#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyesJava pluginsJava
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 synchronizedShardingSharding
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 replicationyesMulti-source replication
Source-replica replication
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 infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infoWrite ahead logyesyes infoSnapshots and command logging
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 authorizationyesUsers and roles with access to stored procedures

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More resources
Amazon NeptuneOrigoDBSolrVoltDB
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