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DBMS > Bangdb vs. Google Cloud Datastore vs. ObjectBox vs. STSdb

System Properties Comparison Bangdb vs. Google Cloud Datastore vs. ObjectBox vs. STSdb

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonObjectBox  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeObject oriented DBMS
Vector DBMS
Key-value store
Secondary database modelsSpatial DBMSTime Series 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
Score4.36
Rank#72  Overall
#12  Document stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitebangdb.comcloud.google.com/­datastoregithub.com/­objectbox
objectbox.io
github.com/­STSSoft/­STSdb4
Technical documentationdocs.bangdb.comcloud.google.com/­datastore/­docsdocs.objectbox.io
DeveloperSachin Sinha, BangDBGoogleObjectBox LimitedSTS Soft SC
Initial release2012200820172011
Current releaseBangDB 2.0, October 20214.0 (May 2024)4.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoBSD 3commercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoGPLv2, commercial license available
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 and C++C#
Server operating systemsLinuxhostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes, details hereyes, plus "flex" map-like typesyes infoprimitive types and user defined types (classes)
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, geospatialyesyesno
SQL infoSupport of SQLSQL like support with command line toolSQL-like query language (GQL)nono
APIs and other access methodsProprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary native API.NET Client API
Supported programming languagesC
C#
C++
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C#
Java
Server-side scripts infoStored proceduresnousing Google App Enginenono
Triggersyes, Notifications (with Streaming only)Callbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication using PaxosData sync between devices allowing occasional connected databases to work completely offlinenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 modenono
User concepts infoAccess controlyes (enterprise version only)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesno
More information provided by the system vendor
BangdbGoogle Cloud DatastoreObjectBoxSTSdb
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More resources
BangdbGoogle Cloud DatastoreObjectBoxSTSdb
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