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DBMS > atoti vs. DataFS vs. DolphinDB

System Properties Comparison atoti vs. DataFS vs. DolphinDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDataFS  Xexclude from comparisonDolphinDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.All 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.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.
Primary database modelObject oriented DBMSObject oriented DBMSTime Series DBMS
Secondary database modelsGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Websiteatoti.ionewdatabase.comwww.dolphindb.com
Technical documentationdocs.atoti.iodev.mobiland.com/­Overview.xspdocs.dolphindb.cn/­en/­help200/­index.html
DeveloperActiveViamMobiland AGDolphinDB, Inc
Initial release20182018
Current release1.1.263, October 2022v2.00.4, January 2022
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercial infofree community version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsWindowsLinux
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL-like query language
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Supported programming languages.Net
C
C#
C++
VB.Net
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Server-side scripts infoStored proceduresPythonyes
Triggersno, except callback-events from server when changes happenedno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningProprietary Sharding systemhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlWindows-ProfileAdministrators, Users, Groups

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More resources
atotiDataFSDolphinDB
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