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DBMS > AgensGraph vs. Amazon CloudSearch vs. Oracle Rdb vs. Solr vs. Splice Machine

System Properties Comparison AgensGraph vs. Amazon CloudSearch vs. Oracle Rdb vs. Solr vs. Splice Machine

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSolr  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA hosted search engine service by Amazon with the data stored in Amazons cloudA widely used distributed, scalable search engine based on Apache LuceneOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
Relational DBMS
Search engineRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score1.81
Rank#137  Overall
#12  Search engines
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitebitnine.net/­agensgraphaws.amazon.com/­cloudsearchwww.oracle.com/­database/­technologies/­related/­rdb.htmlsolr.apache.orgsplicemachine.com
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­cloudsearchwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsolr.apache.org/­resources.htmlsplicemachine.com/­how-it-works
DeveloperBitnine Global Inc.AmazonOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software FoundationSplice Machine
Initial release20162012198420062014
Current release2.1, December 20187.4.1.1, 20219.6.1, May 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialOpen Source infoApache Version 2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJava
Server operating systemsLinux
OS X
Windows
hostedHP Open VMSAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Solaris
Windows
Data schemedepending on used data modelyesFlexible 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.nonoyes
Secondary indexesyesyes infoall search fields are automatically indexedyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesnoyesSolr Parallel SQL Interfaceyes
APIs and other access methodsCypher Query Language
JDBC
HTTP APIJava API
RESTful HTTP/JSON API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
Java
JavaScript
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnoJava pluginsyes infoJava
Triggersnonoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infomanaged transparently by AWSyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes, on a single nodeoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentication via encrypted signaturesyesAccess rights for users, groups and roles according to SQL-standard

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More resources
AgensGraphAmazon CloudSearchOracle RdbSolrSplice Machine
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