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DBMS > GBase vs. Hazelcast vs. LokiJS vs. Microsoft Azure AI Search vs. Solr

System Properties Comparison GBase vs. Hazelcast vs. LokiJS vs. Microsoft Azure AI Search vs. Solr

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonHazelcast  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely adopted in-memory data gridIn-memory JavaScript DBMSSearch-as-a-service for web and mobile app developmentA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSKey-value storeDocument storeSearch engineSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12Vector DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.49
Rank#260  Overall
#42  Document stores
Score5.52
Rank#59  Overall
#6  Search engines
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.gbase.cnhazelcast.comgithub.com/­techfort/­LokiJSazure.microsoft.com/­en-us/­services/­searchsolr.apache.org
Technical documentationhazelcast.org/­imdg/­docstechfort.github.io/­LokiJSlearn.microsoft.com/­en-us/­azure/­searchsolr.apache.org/­resources.html
DeveloperGeneral Data Technology Co., Ltd.HazelcastMicrosoftApache Software Foundation
Initial release20042008201420152006
Current releaseGBase 8a, GBase 8s, GBase 8c5.3.6, November 2023V19.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen SourcecommercialOpen Source infoApache Version 2
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 languageC, Java, PythonJavaJavaScriptJava
Server operating systemsLinuxAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesnoyesyes infosupports customizable data types and automatic typing
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.yesyes infothe object must implement a serialization strategynonoyes
Secondary indexesyesyesyes infovia viewsyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLStandard with numerous extensionsSQL-like query languagenonoSolr Parallel SQL Interface
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
JavaScript APIRESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaScriptC#
Java
JavaScript
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsyes infoEvent Listeners, Executor ServicesView functions in JavaScriptnoJava plugins
Triggersyesyes infoEventsyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingnoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapnoneyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedno infoatomic operations within a single collection possiblenooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlyesRole-based access controlnoyes infousing Azure authenticationyes

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More resources
GBaseHazelcastLokiJSMicrosoft Azure AI SearchSolr
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