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DBMS > DataFS vs. QuestDB vs. RethinkDB vs. Rockset

System Properties Comparison DataFS vs. QuestDB vs. RethinkDB vs. Rockset

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonQuestDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A high performance open source SQL database for time series dataDBMS for the Web with a mechanism to push updated query results to applications in realtime.A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelObject oriented DBMSTime Series DBMSDocument storeDocument store
Secondary database modelsGraph DBMSRelational DBMSSpatial DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score0.79
Rank#211  Overall
#35  Document stores
Websitenewdatabase.comquestdb.iorethinkdb.comrockset.com
Technical documentationdev.mobiland.com/­Overview.xspquestdb.io/­docsrethinkdb.com/­docsdocs.rockset.com
DeveloperMobiland AGQuestDB Technology IncThe Linux Foundation infosince July 2017Rockset
Initial release2018201420092019
Current release1.1.263, October 20222.4.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava (Zero-GC), C++, RustC++C++
Server operating systemsWindowsLinux
macOS
Windows
Linux
OS X
Windows
hosted
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes infoschema-free via InfluxDB Line Protocolschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometrydynamic 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.nononono infoingestion from XML files supported
Secondary indexesnonoyesall fields are automatically indexed
SQL infoSupport of SQLnoSQL with time-series extensionsnoRead-only SQL queries, including JOINs
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP REST
Supported programming languages.Net
C
C#
C++
VB.Net
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnono
Triggersno, except callback-events from server when changes happenednoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemhorizontal partitioning (by timestamps)Sharding inforange basedAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with eventual consistencySource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesno
User concepts infoAccess controlWindows-Profileyes infousers and table-level permissionsAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
DataFSQuestDBRethinkDBRockset
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
DataFSQuestDBRethinkDBRockset
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