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DBMS > Ehcache vs. Lovefield vs. PouchDB vs. RavenDB

System Properties Comparison Ehcache vs. Lovefield vs. PouchDB vs. RavenDB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonLovefield  Xexclude from comparisonPouchDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsEmbeddable relational database for web apps written in pure JavaScriptJavaScript DBMS with an API inspired by CouchDBOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelKey-value storeRelational DBMSDocument storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.23
Rank#68  Overall
#8  Key-value stores
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Score3.01
Rank#101  Overall
#17  Document stores
Websitewww.ehcache.orggoogle.github.io/­lovefieldpouchdb.comravendb.net
Technical documentationwww.ehcache.org/­documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdpouchdb.com/­guidesravendb.net/­docs
DeveloperTerracotta Inc, owned by Software AGGoogleApache Software FoundationHibernating Rhinos
Initial release2009201420122010
Current release3.10.0, March 20222.1.12, February 20177.1.1, June 20195.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open SourceOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptJavaScriptC#
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safariserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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 indexesnoyesyes infovia viewsyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternnoSQL-like query language (RQL)
APIs and other access methodsJCacheHTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesJavaJavaScriptJavaScript.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoView functions in JavaScriptyes
Triggersyes infoCache Event ListenersUsing read-only observersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServernoneSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServernoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes
User concepts infoAccess controlnononoAuthorization levels configured per client per database

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More resources
EhcacheLovefieldPouchDBRavenDB
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