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DBMS > Bangdb vs. Microsoft Azure Table Storage vs. OrigoDB vs. Realm

System Properties Comparison Bangdb vs. Microsoft Azure Table Storage vs. OrigoDB vs. Realm

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOrigoDB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA Wide Column Store for rapid development using massive semi-structured datasetsA fully ACID in-memory object graph databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Wide column storeDocument store
Object oriented DBMS
Document store
Secondary database modelsSpatial 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
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitebangdb.comazure.microsoft.com/­en-us/­services/­storage/­tablesorigodb.comrealm.io
Technical documentationdocs.bangdb.comorigodb.com/­docsrealm.io/­docs
DeveloperSachin Sinha, BangDBMicrosoftRobert Friberg et alRealm, acquired by MongoDB in May 2019
Initial release201220122009 infounder the name LiveDB2014
Current releaseBangDB 2.0, October 2021
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C#
Server operating systemsLinuxhostedLinux
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyes
SQL infoSupport of SQLSQL like support with command line toolnonono
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP API.NET Client API
HTTP API
LINQ
Supported programming languagesC
C#
C++
Java
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnonoyesno inforuns within the applications so server-side scripts are unnecessary
Triggersyes, Notifications (with Streaming only)noyes infoDomain Eventsyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infoWrite ahead logyes
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 modenoyesyes infoIn-Memory realm
User concepts infoAccess controlyes (enterprise version only)Access rights based on private key authentication or shared access signaturesRole based authorizationyes

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More resources
BangdbMicrosoft Azure Table StorageOrigoDBRealm
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