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DBMS > Ehcache vs. etcd vs. Hazelcast vs. LevelDB

System Properties Comparison Ehcache vs. etcd vs. Hazelcast vs. LevelDB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonetcd  Xexclude from comparisonHazelcast  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA distributed reliable key-value storeA widely adopted in-memory data gridEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelKey-value storeKey-value storeKey-value storeKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.55
Rank#69  Overall
#8  Key-value stores
Score7.66
Rank#55  Overall
#6  Key-value stores
Score7.66
Rank#54  Overall
#5  Key-value stores
Score3.32
Rank#100  Overall
#16  Key-value stores
Websitewww.ehcache.orgetcd.io
github.com/­etcd-io/­etcd
hazelcast.comgithub.com/­google/­leveldb
Technical documentationwww.ehcache.org/­documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hazelcast.org/­imdg/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperTerracotta Inc, owned by Software AGHazelcastGoogle
Initial release200920082011
Current release3.10.0, March 20223.4, August 20195.3.6, November 20231.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJavaC++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMIllumos
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesnonoyesno
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsJCachegRPC
JSON over HTTP
JCache
JPA
Memcached protocol
RESTful HTTP 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#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnonoyes infoEvent Listeners, Executor Servicesno
Triggersyes infoCache Event Listenersyes, watching key changesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingnone
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.yes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnonoRole-based access controlno

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More resources
EhcacheetcdHazelcastLevelDB
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