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DBMS > EXASOL vs. Hazelcast vs. Memcached vs. NSDb vs. Solr

System Properties Comparison EXASOL vs. Hazelcast vs. Memcached vs. NSDb vs. Solr

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHazelcast  Xexclude from comparisonMemcached  Xexclude from comparisonNSDb  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A widely adopted in-memory data gridIn-memory key-value store, originally intended for cachingScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSKey-value storeKey-value storeTime Series DBMSSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.exasol.comhazelcast.comwww.memcached.orgnsdb.iosolr.apache.org
Technical documentationwww.exasol.com/­resourceshazelcast.org/­imdg/­docsgithub.com/­memcached/­memcached/­wikinsdb.io/­Architecturesolr.apache.org/­resources.html
DeveloperExasolHazelcastDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalApache Software Foundation
Initial release20002008200320172006
Current release5.3.6, November 20231.6.25, March 20249.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSD licenseOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava, ScalaJava
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
Linux
macOS
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesnoyes: int, bigint, decimal, stringyes 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.noyes infothe object must implement a serialization strategynoyes
Secondary indexesyesyesnoall fields are automatically indexedyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesSQL-like query languagenoSQL-like query languageSolr Parallel SQL Interface
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocolgRPC
HTTP REST
WebSocket
Java API
RESTful HTTP/JSON API
Supported programming languagesJava
Lua
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Java
Scala
.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 ServicesnonoJava plugins
Triggersyesyes infoEventsnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapnone infoRepcached, a Memcached patch, provides this functionallityyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyesnonospark-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 AlgorithmEventual 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 commitednonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardRole-based access controlyes infousing SASL (Simple Authentication and Security Layer) protocolyes

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EXASOLHazelcastMemcachedNSDbSolr
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