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DBMS > Ehcache vs. Kinetica vs. Pinecone

System Properties Comparison Ehcache vs. Kinetica vs. Pinecone

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonKinetica  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsFully vectorized database across both GPUs and CPUsA managed, cloud-native vector database
Primary database modelKey-value storeRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.79
Rank#66  Overall
#8  Key-value stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websitewww.ehcache.orgwww.kinetica.comwww.pinecone.io
Technical documentationwww.ehcache.org/­documentationdocs.kinetica.comdocs.pinecone.io/­docs/­overview
DeveloperTerracotta Inc, owned by Software AGKineticaPinecone Systems, Inc
Initial release200920122019
Current release3.10.0, March 20227.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++
Server operating systemsAll OS with a Java VMLinuxhosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyesString, Number, Boolean
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 indexesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsJCacheJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
Python
Server-side scripts infoStored proceduresnouser defined functions
Triggersyes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlnoAccess rights for users and roles on table level

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More resources
EhcacheKineticaPinecone
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