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DBMS > Ehcache vs. etcd vs. GigaSpaces vs. mSQL vs. UniData,UniVerse

System Properties Comparison Ehcache vs. etcd vs. GigaSpaces vs. mSQL vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonetcd  Xexclude from comparisonGigaSpaces  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA distributed reliable key-value storeHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsmSQL (Mini SQL) is a simple and lightweight RDBMSMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value storeKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSMultivalue DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.ehcache.orgetcd.io
github.com/­etcd-io/­etcd
www.gigaspaces.comhughestech.com.au/­products/­msqlwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationwww.ehcache.org/­documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.gigaspaces.com/­latest/­landing.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperTerracotta Inc, owned by Software AGGigaspaces TechnologiesHughes TechnologiesRocket Software
Initial release2009200019941985
Current release3.10.0, March 20223.4, August 201915.5, September 20204.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availablecommercial infofree licenses can be providedcommercial
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 languageJavaGoJava, C++, .NetCC
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
Linux
macOS
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesoptional
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.nonono infoXML can be used for describing objects metadatano
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoSQL-99 for query and DML statementsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsJCachegRPC
JSON over HTTP
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesJava.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C++
Java
Python
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnonoyesnoyes
Triggersyes infoCache Event Listenersyes, watching key changesyes, event driven architecturenoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYnone
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACIDnoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnonoRole-based access controlnoAccess rights according to SQL-standard and operating system based

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More resources
EhcacheetcdGigaSpacesmSQL infoMini SQLUniData,UniVerse
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