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DBMS > Bangdb vs. ObjectBox vs. OrigoDB vs. QuestDB vs. Rockset

System Properties Comparison Bangdb vs. ObjectBox vs. OrigoDB vs. QuestDB vs. Rockset

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonObjectBox  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuestDB  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphExtremely fast embedded database for small devices, IoT and MobileA fully ACID in-memory object graph databaseA high performance open source SQL database for time series dataA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Object oriented DBMSDocument store
Object oriented DBMS
Time Series DBMSDocument store
Secondary database modelsSpatial DBMSTime Series DBMSRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitebangdb.comobjectbox.ioorigodb.comquestdb.iorockset.com
Technical documentationdocs.bangdb.comdocs.objectbox.ioorigodb.com/­docsquestdb.io/­docsdocs.rockset.com
DeveloperSachin Sinha, BangDBObjectBox LimitedRobert Friberg et alQuestDB Technology IncRockset
Initial release201220172009 infounder the name LiveDB20142019
Current releaseBangDB 2.0, October 2021
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache License 2.0Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
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#Java (Zero-GC), C++, RustC++
Server operating systemsLinuxAndroid
iOS
Linux
macOS
Windows
Linux
Windows
Linux
macOS
Windows
hosted
Data schemeschema-freeyesyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesUser defined using .NET types and collectionsyesdynamic typing
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 .NETnono infoingestion from XML files supported
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesnoall fields are automatically indexed
SQL infoSupport of SQLSQL like support with command line toolnonoSQL with time-series extensionsRead-only SQL queries, including JOINs
APIs and other access methodsProprietary protocol
RESTful HTTP API
Proprietary native API.NET Client API
HTTP API
LINQ
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP REST
Supported programming languagesC
C#
C++
Java
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.NetC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesnono
Triggersyes, Notifications (with Streaming only)noyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnonehorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning (by timestamps)Automatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)online/offline synchronization between client and serverSource-replica replicationSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesdepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infoWrite ahead logyesyes
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 infothrough memory mapped files
User concepts infoAccess controlyes (enterprise version only)yesRole based authorizationAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
BangdbObjectBoxOrigoDBQuestDBRockset
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BangdbObjectBoxOrigoDBQuestDBRockset
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