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DBMS > Ehcache vs. etcd vs. Hazelcast vs. IBM Db2 Event Store vs. UniData,UniVerse

System Properties Comparison Ehcache vs. etcd vs. Hazelcast vs. IBM Db2 Event Store vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonetcd  Xexclude from comparisonHazelcast  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA distributed reliable key-value storeA widely adopted in-memory data gridDistributed Event Store optimized for Internet of Things use casesMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value storeKey-value storeKey-value storeEvent Store
Time Series DBMS
Multivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
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
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.ehcache.orgetcd.io
github.com/­etcd-io/­etcd
hazelcast.comwww.ibm.com/­products/­db2-event-storewww.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
hazelcast.org/­imdg/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperTerracotta Inc, owned by Software AGHazelcastIBMRocket Software
Initial release2009200820171985
Current release3.10.0, March 20223.4, August 20195.3.6, November 20232.0
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 developer edition availablecommercial
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 languageJavaGoJavaC and C++C
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionAIX
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLnonoSQL-like query languageyes infothrough the embedded Spark runtimeyes
APIs and other access methodsJCachegRPC
JSON over HTTP
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
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#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnonoyes infoEvent Listeners, Executor Servicesyesyes
Triggersyes infoCache Event Listenersyes, watching key changesyes infoEventsnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardingnone
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 MapActive-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
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 AlgorithmEventual Consistency
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 resourcenoone or two-phase-commit; repeatable reads; read commitednoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnonoRole-based access controlfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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EhcacheetcdHazelcastIBM Db2 Event StoreUniData,UniVerse
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