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DBMS > Amazon Neptune vs. Infobright vs. Oracle Rdb vs. Solr vs. Trafodion

System Properties Comparison Amazon Neptune vs. Infobright vs. Oracle Rdb vs. Solr vs. Trafodion

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonInfobright  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSolr  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA widely used distributed, scalable search engine based on Apache LuceneTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSSearch 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
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­neptuneignitetech.com/­softwarelibrary/­infobrightdbwww.oracle.com/­database/­technologies/­related/­rdb.htmlsolr.apache.orgtrafodion.apache.org
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsolr.apache.org/­resources.htmltrafodion.apache.org/­documentation.html
DeveloperAmazonIgnite Technologies Inc.; formerly InfoBright Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)Apache Software FoundationApache Software Foundation, originally developed by HP
Initial release20172005198420062014
Current release7.4.1.1, 20219.6.0, April 20242.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++, Java
Server operating systemshostedLinux
Windows
HP Open VMSAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyesyes 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.nononoyesno
Secondary indexesnono infoKnowledge Grid Technology used insteadyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoyesyesSolr Parallel SQL Interfaceyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoJava pluginsJava Stored Procedures
Triggersnonoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
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 replicationyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesyesfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneInfobrightOracle RdbSolrTrafodion
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