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DBMS > Ehcache vs. Lovefield vs. Pinecone vs. PostgreSQL

System Properties Comparison Ehcache vs. Lovefield vs. Pinecone vs. PostgreSQL

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonLovefield  Xexclude from comparisonPinecone  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsEmbeddable relational database for web apps written in pure JavaScriptA managed, cloud-native vector databaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelKey-value storeRelational DBMSVector DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
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
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitewww.ehcache.orggoogle.github.io/­lovefieldwww.pinecone.iowww.postgresql.org
Technical documentationwww.ehcache.org/­documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.pinecone.io/­docs/­overviewwww.postgresql.org/­docs
DeveloperTerracotta Inc, owned by Software AGGooglePinecone Systems, IncPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2009201420191989 info1989: Postgres, 1996: PostgreSQL
Current release3.10.0, March 20222.1.12, February 201716.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanyes
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 infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternnoyes infostandard with numerous extensions
APIs and other access methodsJCacheRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaJavaScriptPython.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes infoCache Event ListenersUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Servernonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServernoneSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes, 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 MemoryDBnono
User concepts infoAccess controlnonofine grained access rights according to SQL-standard

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