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DBMS > Amazon CloudSearch vs. AnzoGraph DB vs. EJDB vs. Sphinx vs. Splice Machine

System Properties Comparison Amazon CloudSearch vs. AnzoGraph DB vs. EJDB vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonEJDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Open source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelSearch engineGraph DBMS
RDF store
Document storeSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.31
Rank#296  Overall
#44  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteaws.amazon.com/­cloudsearchcambridgesemantics.com/­anzographgithub.com/­Softmotions/­ejdbsphinxsearch.comsplicemachine.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdsphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperAmazonCambridge SemanticsSoftmotionsSphinx Technologies Inc.Splice Machine
Initial release20122018201220012014
Current release2.3, January 20213.5.1, February 20233.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoGPLv2Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
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 languageCC++Java
Server operating systemshostedLinuxserver-lessFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesSchema-free and OWL/RDFS-schema supportschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idnoyes
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.no
Secondary indexesyes infoall search fields are automatically indexednonoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.noSQL-like query language (SphinxQL)yes
APIs and other access methodsHTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
in-process shared libraryProprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC++
Java
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnonoyes infoJava
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredAutomatic shardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication in MPP-ClusternonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsno infotypically not needed, however similar functionality with collection joins possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes 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.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon CloudSearchAnzoGraph DBEJDBSphinxSplice Machine
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