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DBMS > Hypertable vs. Lovefield vs. Microsoft Azure AI Search vs. SiriDB vs. Solr

System Properties Comparison Hypertable vs. Lovefield vs. Microsoft Azure AI Search vs. SiriDB vs. Solr

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSiriDB  Xexclude from comparisonSolr  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopEmbeddable relational database for web apps written in pure JavaScriptSearch-as-a-service for web and mobile app developmentOpen Source Time Series DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelWide column storeRelational DBMSSearch engineTime Series DBMSSearch engine
Secondary database modelsVector DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitegoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­searchsiridb.comsolr.apache.org
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlearn.microsoft.com/­en-us/­azure/­searchdocs.siridb.comsolr.apache.org/­resources.html
DeveloperHypertable Inc.GoogleMicrosoftCesbitApache Software Foundation
Initial release20092014201520172006
Current release0.9.8.11, March 20162.1.12, February 2017V19.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0commercialOpen Source infoMIT LicenseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScriptCJava
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesyes 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.nononoyes
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternnonoSolr Parallel SQL Interface
APIs and other access methodsC++ API
Thrift
RESTful HTTP APIHTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
JavaScriptC#
Java
JavaScript
Python
C
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 proceduresnonononoJava plugins
TriggersnoUsing read-only observersnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnoneyes infoImplicit feature of the cloud serviceyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBnoyesyes
User concepts infoAccess controlnonoyes infousing Azure authenticationsimple rights management via user accountsyes

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More resources
HypertableLovefieldMicrosoft Azure AI SearchSiriDBSolr
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