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DBMS > DolphinDB vs. Drizzle vs. Microsoft Azure Data Explorer vs. OpenEdge vs. Warp 10

System Properties Comparison DolphinDB vs. Drizzle vs. Microsoft Azure Data Explorer vs. OpenEdge vs. Warp 10

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonDrizzle  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOpenEdge  Xexclude from comparisonWarp 10  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Fully managed big data interactive analytics platformApplication development environment with integrated database management systemTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSRelational DBMSRelational DBMS infocolumn orientedRelational DBMSTime Series 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
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.dolphindb.comazure.microsoft.com/­services/­data-explorerwww.progress.com/­openedgewww.warp10.io
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.microsoft.com/­en-us/­azure/­data-explorerdocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.warp10.io/­content/­02_Getting_started
DeveloperDolphinDB, IncDrizzle project, originally started by Brian AkerMicrosoftProgress Software CorporationSenX
Initial release20182008201919842015
Current releasev2.00.4, January 20227.2.4, September 2012cloud service with continuous releasesOpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGNU GPLcommercialcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsLinux
Windows
FreeBSD
Linux
OS X
hostedAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesFixed schema with schema-less datatypes (dynamic)yesschema-free
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesyes
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.noyesyesno
Secondary indexesyesyesall fields are automatically indexedyesno
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsKusto Query Language (KQL), SQL subsetyes infoclose to SQL 92no
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBCMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Java
PHP
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresyesnoYes, possible languages: KQL, Python, Ryesyes infoWarpScript
Triggersnono infohooks for callbacks inside the server can be used.yes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAdministrators, Users, GroupsPluggable authentication mechanisms infoe.g. LDAP, HTTPAzure Active Directory AuthenticationUsers and groupsMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
DolphinDBDrizzleMicrosoft Azure Data ExplorerOpenEdgeWarp 10
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