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DBMS > Ehcache vs. Lovefield vs. Postgres-XL vs. SiriDB vs. Solr

System Properties Comparison Ehcache vs. Lovefield vs. Postgres-XL vs. SiriDB vs. Solr

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonLovefield  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSiriDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsEmbeddable relational database for web apps written in pure JavaScriptBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen Source Time Series DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.ehcache.orggoogle.github.io/­lovefieldwww.postgres-xl.orgsiridb.comsolr.apache.org
Technical documentationwww.ehcache.org/­documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.postgres-xl.org/­documentationdocs.siridb.comsolr.apache.org/­resources.html
DeveloperTerracotta Inc, owned by Software AGGoogleCesbitApache Software Foundation
Initial release200920142014 infosince 2012, originally named StormDB20172006
Current release3.10.0, March 20222.1.12, February 201710 R1, October 20189.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoMozilla public licenseOpen Source infoMIT LicenseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptCCJava
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
LinuxAll 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 dateyesyesyesyes 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 infoXML type, but no XML query functionalitynoyes
Secondary indexesnoyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyes infodistributed, parallel query executionnoSolr Parallel SQL Interface
APIs and other access methodsJCacheADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesJavaJavaScript.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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 proceduresnonouser defined functionsnoJava plugins
Triggersyes infoCache Event ListenersUsing read-only observersyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Servernonehorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Servernoneyesyes
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 systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDACID infoMVCCnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes, 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.yesyes infousing MemoryDBnoyesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardsimple rights management via user accountsyes

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More resources
EhcacheLovefieldPostgres-XLSiriDBSolr
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