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DBMS > Apache Phoenix vs. Ehcache vs. Google Cloud Firestore vs. OrigoDB

System Properties Comparison Apache Phoenix vs. Ehcache vs. Google Cloud Firestore vs. OrigoDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA widely adopted Java cache with tiered storage optionsCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A fully ACID in-memory object graph database
Primary database modelRelational DBMSKey-value storeDocument storeDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitephoenix.apache.orgwww.ehcache.orgfirebase.google.com/­products/­firestoreorigodb.com
Technical documentationphoenix.apache.orgwww.ehcache.org/­documentationfirebase.google.com/­docs/­firestoreorigodb.com/­docs
DeveloperApache Software FoundationTerracotta Inc, owned by Software AGGoogleRobert Friberg et al
Initial release2014200920172009 infounder the name LiveDB
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.10.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#
Server operating systemsLinux
Unix
Windows
All OS with a Java VMhostedLinux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collections
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.nononono infocan be achieved using .NET
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnonono
APIs and other access methodsJDBCJCacheAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Server-side scripts infoStored proceduresuser defined functionsnoyes, Firebase Rules & Cloud Functionsyes
Triggersnoyes infoCache Event Listenersyes, with Cloud Functionsyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoby using Terracotta ServerMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Role based authorization

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More resources
Apache PhoenixEhcacheGoogle Cloud FirestoreOrigoDB
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