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DBMS > DolphinDB vs. Graphite vs. Microsoft Azure Data Explorer vs. OrigoDB

System Properties Comparison DolphinDB vs. Graphite vs. Microsoft Azure Data Explorer vs. OrigoDB

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGraphite  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionDolphinDB 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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperFully managed big data interactive analytics platformA fully ACID in-memory object graph database
Primary database modelTime Series DBMS
Vector DBMS
Time Series DBMSRelational DBMS infocolumn orientedDocument store
Object oriented DBMS
Secondary database modelsRelational DBMSDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Websitewww.dolphindb.comgithub.com/­graphite-project/­graphite-webazure.microsoft.com/­services/­data-explorerorigodb.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlgraphite.readthedocs.iodocs.microsoft.com/­en-us/­azure/­data-explorerorigodb.com/­docs
DeveloperDolphinDB, IncChris DavisMicrosoftRobert Friberg et al
Initial release2018200620192009 infounder the name LiveDB
Current releasev2.00.4, January 2022cloud service with continuous releases
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++PythonC#
Server operating systemsLinux
Windows
Linux
Unix
hostedLinux
Windows
Data schemeyesyesFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesUser defined using .NET types and collections
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.nonoyesno infocan be achieved using .NET
Secondary indexesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languagenoKusto Query Language (KQL), SQL subsetno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP API
Sockets
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Server-side scripts infoStored proceduresyesnoYes, possible languages: KQL, Python, Ryes
Triggersnonoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAdministrators, Users, GroupsnoAzure Active Directory AuthenticationRole based authorization

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More resources
DolphinDBGraphiteMicrosoft Azure Data ExplorerOrigoDB
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