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DBMS > BoltDB vs. Hazelcast vs. Netezza vs. Pinecone

System Properties Comparison BoltDB vs. Hazelcast vs. Netezza vs. Pinecone

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHazelcast  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A widely adopted in-memory data gridData warehouse and analytics appliance part of IBM PureSystemsA managed, cloud-native vector database
Primary database modelKey-value storeKey-value storeRelational DBMSVector DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitegithub.com/­boltdb/­bolthazelcast.comwww.ibm.com/­products/­netezzawww.pinecone.io
Technical documentationhazelcast.org/­imdg/­docsdocs.pinecone.io/­docs/­overview
DeveloperHazelcastIBMPinecone Systems, Inc
Initial release2013200820002019
Current release5.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux infoincluded in appliancehosted
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesString, 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.noyes infothe object must implement a serialization strategyno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesGo.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Python
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesyes
Triggersnoyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoRole-based access controlUsers with fine-grained authorization concept

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More resources
BoltDBHazelcastNetezza infoAlso called PureData System for Analytics by IBMPinecone
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