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DBMS > Bangdb vs. Ehcache vs. FatDB vs. Google Cloud Firestore

System Properties Comparison Bangdb vs. Ehcache vs. FatDB vs. Google Cloud Firestore

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonEhcache  Xexclude from comparisonFatDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphA widely adopted Java cache with tiered storage optionsA .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud 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.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeDocument store
Key-value store
Document store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score6.63
Rank#54  Overall
#9  Document stores
Websitebangdb.comwww.ehcache.orgfirebase.google.com/­products/­firestore
Technical documentationdocs.bangdb.comwww.ehcache.org/­documentationfirebase.google.com/­docs/­firestore
DeveloperSachin Sinha, BangDBTerracotta Inc, owned by Software AGFatCloudGoogle
Initial release2012200920122017
Current releaseBangDB 2.0, October 20213.10.0, March 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC#
Server operating systemsLinuxAll OS with a Java VMWindowshosted
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyes
SQL infoSupport of SQLSQL like support with command line toolnono infoVia inetgration in SQL Serverno
APIs and other access methodsProprietary protocol
RESTful HTTP API
JCache.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
JavaC#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresnonoyes infovia applicationsyes, Firebase Rules & Cloud Functions
Triggersyes, Notifications (with Streaming only)yes infoCache Event Listenersyes infovia applicationsyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoby using Terracotta ServerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes infoby using Terracotta Serverselectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourcenoyes
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes
User concepts infoAccess controlyes (enterprise version only)nono infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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BangdbEhcacheFatDBGoogle Cloud Firestore
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