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DBMS > Hazelcast vs. Pinecone

System Properties Comparison Hazelcast vs. Pinecone

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Our visitors often compare Hazelcast and Pinecone with Redis, Elasticsearch and MongoDB.

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionA widely adopted in-memory data gridA managed, cloud-native vector database
Primary database modelKey-value storeVector DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.87
Rank#55  Overall
#6  Key-value stores
Score3.29
Rank#94  Overall
#2  Vector DBMS
Websitehazelcast.comwww.pinecone.io
Technical documentationhazelcast.org/­imdg/­docsdocs.pinecone.io/­docs/­overview
DeveloperHazelcastPinecone Systems, Inc
Initial release20082019
Current release5.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsAll OS with a Java VMhosted
Data schemeschema-free
Typing infopredefined data types such as float or dateyesString, 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.yes infothe object must implement a serialization strategyno
Secondary indexesyes
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Python
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Services
Triggersyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlRole-based access control

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More resources
HazelcastPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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