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DBMS > DataFS vs. GBase vs. QuestDB vs. Realm vs. Sphinx

System Properties Comparison DataFS vs. GBase vs. QuestDB vs. Realm vs. Sphinx

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGBase  Xexclude from comparisonQuestDB  Xexclude from comparisonRealm  Xexclude from comparisonSphinx  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.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A high performance open source SQL database for time series dataA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMSDocument storeSearch engine
Secondary database modelsGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitenewdatabase.comwww.gbase.cnquestdb.iorealm.iosphinxsearch.com
Technical documentationdev.mobiland.com/­Overview.xspquestdb.io/­docsrealm.io/­docssphinxsearch.com/­docs
DeveloperMobiland AGGeneral Data Technology Co., Ltd.QuestDB Technology IncRealm, acquired by MongoDB in May 2019Sphinx Technologies Inc.
Initial release20182004201420142001
Current release1.1.263, October 2022GBase 8a, GBase 8s, GBase 8c3.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJava (Zero-GC), C++, RustC++
Server operating systemsWindowsLinuxLinux
macOS
Windows
Android
Backend: server-less
iOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyes infoschema-free via InfluxDB Line Protocolyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyesnono
Secondary indexesnoyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoStandard with numerous extensionsSQL with time-series extensionsnoSQL-like query language (SphinxQL)
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
C API
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocol
Supported programming languages.Net
C
C#
C++
VB.Net
C#C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnono inforuns within the applications so server-side scripts are unnecessaryno
Triggersno, except callback-events from server when changes happenedyesnoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemhorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioning (by timestamps)noneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with eventual consistencynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesyes infoIn-Memory realm
User concepts infoAccess controlWindows-Profileyesyesno
More information provided by the system vendor
DataFSGBaseQuestDBRealmSphinx
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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DataFSGBaseQuestDBRealmSphinx
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