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DBMS > Ehcache vs. Firebase Realtime Database vs. HBase vs. IBM Db2 Event Store vs. Newts

System Properties Comparison Ehcache vs. Firebase Realtime Database vs. HBase vs. IBM Db2 Event Store vs. Newts

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHBase  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Wide-column store based on Apache Hadoop and on concepts of BigTableDistributed Event Store optimized for Internet of Things use casesTime Series DBMS based on Cassandra
Primary database modelKey-value storeDocument storeWide column storeEvent Store
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score13.64
Rank#39  Overall
#6  Document stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websitewww.ehcache.orgfirebase.google.com/­products/­realtime-databasehbase.apache.orgwww.ibm.com/­products/­db2-event-storeopennms.github.io/­newts
Technical documentationwww.ehcache.org/­documentationfirebase.google.com/­docs/­databasehbase.apache.org/­book.htmlwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­OpenNMS/­newts/­wiki
DeveloperTerracotta Inc, owned by Software AGGoogle infoacquired by Google 2014Apache Software Foundation infoApache top-level project, originally developed by PowersetIBMOpenNMS Group
Initial release20092012200820172014
Current release3.10.0, March 20222.3.4, January 20212.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache version 2commercial infofree developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++Java
Server operating systemsAll OS with a Java VMhostedLinux
Unix
Windows infousing Cygwin
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesyes
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.nonononono
Secondary indexesnoyesnonono
SQL infoSupport of SQLnononoyes infothrough the embedded Spark runtimeno
APIs and other access methodsJCacheAndroid
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
Supported programming languagesJavaJava
JavaScript
Objective-C
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes infoCoprocessors in Javayesno
Triggersyes infoCache Event ListenersCallbacks are triggered when data changesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replication
Source-replica replication
Active-active shard replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
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 resourceyesSingle row ACID (across millions of columns)nono
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.yesyesyesno
User concepts infoAccess controlnoyes, based on authentication and database rulesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardno

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More resources
EhcacheFirebase Realtime DatabaseHBaseIBM Db2 Event StoreNewts
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