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DBMS > Bangdb vs. Ehcache vs. Firebase Realtime Database vs. HEAVY.AI

System Properties Comparison Bangdb vs. Ehcache vs. Firebase Realtime Database vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonEhcache  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA 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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score13.64
Rank#39  Overall
#6  Document stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Websitebangdb.comwww.ehcache.orgfirebase.google.com/­products/­realtime-databasegithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.bangdb.comwww.ehcache.org/­documentationfirebase.google.com/­docs/­databasedocs.heavy.ai
DeveloperSachin Sinha, BangDBTerracotta Inc, owned by Software AGGoogle infoacquired by Google 2014HEAVY.AI, Inc.
Initial release2012200920122016
Current releaseBangDB 2.0, October 20213.10.0, March 20225.10, January 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC++ and CUDA
Server operating systemsLinuxAll OS with a Java VMhostedLinux
Data schemeschema-freeschema-freeschema-freeyes
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.nononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesno
SQL infoSupport of SQLSQL like support with command line toolnonoyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
JCacheAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
Supported programming languagesC
C#
C++
Java
Python
JavaJava
JavaScript
Objective-C
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonolimited functionality with using 'rules'no
Triggersyes, Notifications (with Streaming only)yes infoCache Event ListenersCallbacks are triggered when data changesno
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 ServerSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes infoby using Terracotta ServerMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
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 resourceyesno
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 modeyesyes
User concepts infoAccess controlyes (enterprise version only)noyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
BangdbEhcacheFirebase Realtime DatabaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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