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DBMS > BoltDB vs. Hazelcast vs. KeyDB vs. Microsoft Azure AI Search vs. SiteWhere

System Properties Comparison BoltDB vs. Hazelcast vs. KeyDB vs. Microsoft Azure AI Search vs. SiteWhere

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHazelcast  Xexclude from comparisonKeyDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A widely adopted in-memory data gridAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsSearch-as-a-service for web and mobile app developmentM2M integration platform for persisting/querying time series data
Primary database modelKey-value storeKey-value storeKey-value storeSearch engineTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Vector DBMS
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
Score0.70
Rank#229  Overall
#32  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitegithub.com/­boltdb/­bolthazelcast.comgithub.com/­Snapchat/­KeyDB
keydb.dev
azure.microsoft.com/­en-us/­services/­searchgithub.com/­sitewhere/­sitewhere
Technical documentationhazelcast.org/­imdg/­docsdocs.keydb.devlearn.microsoft.com/­en-us/­azure/­searchsitewhere1.sitewhere.io/­index.html
DeveloperHazelcastEQ Alpha Technology Ltd.MicrosoftSiteWhere
Initial release20132008201920152010
Current release5.3.6, November 2023V1
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSD-3commercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinuxhostedLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyespredefined scheme
Typing infopredefined data types such as float or datenoyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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 strategynonono
Secondary indexesnoyesyes infoby using the Redis Search moduleyesno
SQL infoSupport of SQLnoSQL-like query languagenonono
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP APIHTTP REST
Supported programming languagesGo.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesLuano
Triggersnoyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated MapMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud serviceselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitedOptimistic locking, atomic execution of commands blocks and scriptsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnono
User concepts infoAccess controlnoRole-based access controlsimple password-based access control and ACLyes infousing Azure authenticationUsers with fine-grained authorization concept

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More resources
BoltDBHazelcastKeyDBMicrosoft Azure AI SearchSiteWhere
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