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DBMS > Ehcache vs. Google Cloud Firestore vs. InfinityDB vs. IRONdb

System Properties Comparison Ehcache vs. Google Cloud Firestore vs. InfinityDB vs. IRONdb

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonInfinityDB  Xexclude from comparisonIRONdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA 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 Java embedded Key-Value Store which extends the Java Map interfaceA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelKey-value storeDocument storeKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score7.85
Rank#51  Overall
#8  Document stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Websitewww.ehcache.orgfirebase.google.com/­products/­firestoreboilerbay.comwww.circonus.com/solutions/time-series-database/
Technical documentationwww.ehcache.org/­documentationfirebase.google.com/­docs/­firestoreboilerbay.com/­infinitydb/­manualdocs.circonus.com/irondb/category/getting-started
DeveloperTerracotta Inc, owned by Software AGGoogleBoiler Bay Inc.Circonus LLC.
Initial release2009201720022017
Current release3.10.0, March 20224.0V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++
Server operating systemsAll OS with a Java VMhostedAll OS with a Java VMLinux
Data schemeschema-freeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes infotext, numeric, histograms
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
Secondary indexesnoyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLnononoSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJCacheAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP API
Supported programming languagesJavaGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsnoyes, in Lua
Triggersyes infoCache Event Listenersyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingnoneAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replicationnoneconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceyesACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nono

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More resources
EhcacheGoogle Cloud FirestoreInfinityDBIRONdb
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