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DBMS > Hazelcast vs. LMDB vs. Microsoft Azure AI Search vs. Yanza

System Properties Comparison Hazelcast vs. LMDB vs. Microsoft Azure AI Search vs. Yanza

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA widely adopted in-memory data gridA high performant, light-weight, embedded key-value database librarySearch-as-a-service for web and mobile app developmentTime Series DBMS for IoT Applications
Primary database modelKey-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
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.99
Rank#125  Overall
#21  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Websitehazelcast.comwww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­en-us/­services/­searchyanza.com
Technical documentationhazelcast.org/­imdg/­docswww.lmdb.tech/­doclearn.microsoft.com/­en-us/­azure/­search
DeveloperHazelcastSymasMicrosoftYanza
Initial release2008201120152015
Current release5.3.6, November 20230.9.32, January 2024V1
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Sourcecommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonoyesno infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsAll OS with a Java VMLinux
Unix
Windows
hostedWindows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 strategynonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-like query languagenonono
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIHTTP API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C#
Java
JavaScript
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnonono
Triggersyes infoEventsnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapnoneyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDnono
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.yesyesno
User concepts infoAccess controlRole-based access controlnoyes infousing Azure authenticationno

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More resources
HazelcastLMDBMicrosoft Azure AI SearchYanza
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