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DBMS > Amazon CloudSearch vs. Informix vs. Lovefield vs. SiriDB vs. Solr

System Properties Comparison Amazon CloudSearch vs. Informix vs. Lovefield vs. SiriDB vs. Solr

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonInformix  Xexclude from comparisonLovefield  Xexclude from comparisonSiriDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataEmbeddable relational database for web apps written in pure JavaScriptOpen Source Time Series DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelSearch engineRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­cloudsearchwww.ibm.com/­products/­informixgoogle.github.io/­lovefieldsiridb.comsolr.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.siridb.comsolr.apache.org/­resources.html
DeveloperAmazonIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.GoogleCesbitApache Software Foundation
Initial release20121984201420172006
Current release14.10.FC5, November 20202.1.12, February 20179.6.1, May 2024
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2
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 languageC, C++ and JavaJavaScriptCJava
Server operating systemshostedAIX
HP-UX
Linux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesyesyes infoNumeric datayes infosupports customizable data types and automatic typing
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 indexesyes infoall search fields are automatically indexedyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesSQL-like query language infovia JavaScript builder patternnoSolr Parallel SQL Interface
APIs and other access methodsHTTP APIJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesnonoJava plugins
TriggersnoyesUsing read-only observersnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
noneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByesyes
User concepts infoAccess controlauthentication via encrypted signaturesUsers with fine-grained authentication, authorization, and auditing controlsnosimple rights management via user accountsyes

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More resources
Amazon CloudSearchInformixLovefieldSiriDBSolr
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