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DBMS > Amazon CloudSearch vs. Netezza vs. OrientDB vs. Spark SQL vs. SQLite

System Properties Comparison Amazon CloudSearch vs. Netezza vs. OrientDB vs. Spark SQL vs. SQLite

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOrientDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudData warehouse and analytics appliance part of IBM PureSystemsMulti-model DBMS (Document, Graph, Key/Value)Spark SQL is a component on top of 'Spark Core' for structured data processingWidely used embeddable, in-process RDBMS
Primary database modelSearch engineRelational DBMSDocument store
Graph DBMS
Key-value store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.ibm.com/­products/­netezzaorientdb.orgspark.apache.org/­sqlwww.sqlite.org
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.orientdb.com/­docs/­last/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.sqlite.org/­docs.html
DeveloperAmazonIBMOrientDB LTD; CallidusCloud; SAPApache Software FoundationDwayne Richard Hipp
Initial release20122000201020142000
Current release3.2.29, March 20243.5.0 ( 2.13), September 20233.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoPublic Domain
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 languageJavaScalaC
Server operating systemshostedLinux infoincluded in applianceAll OS with a Java JDK (>= JDK 6)Linux
OS X
Windows
server-less
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyesyes infonot rigid because of 'dynamic typing' concept.
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.nonono
Secondary indexesyes infoall search fields are automatically indexedyesyesnoyes
SQL infoSupport of SQLnoyesSQL-like query language, no joinsSQL-like DML and DDL statementsyes infoSQL-92 is not fully supported
APIs and other access methodsHTTP APIJDBC
ODBC
OLE DB
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoyesJava, Javascriptnono
TriggersnonoHooksnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocould be achieved with distributed queriesno
Foreign keys infoReferential integritynonoyes inforelationship in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infovia file-system locks
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.noyes
User concepts infoAccess controlauthentication via encrypted signaturesUsers with fine-grained authorization conceptAccess rights for users and roles; record level security configurablenono

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More resources
Amazon CloudSearchNetezza infoAlso called PureData System for Analytics by IBMOrientDBSpark SQLSQLite
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