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

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

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGeode  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOpenEdge  Xexclude from comparisonWarp 10  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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesFully 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 DBMSKey-value storeRelational 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
Score1.86
Rank#134  Overall
#24  Key-value stores
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.comgeode.apache.orgazure.microsoft.com/­services/­data-explorerwww.progress.com/­openedgewww.warp10.io
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlgeode.apache.org/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.warp10.io/­content/­02_Getting_started
DeveloperDolphinDB, IncOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.MicrosoftProgress Software CorporationSenX
Initial release20182002201919842015
Current releasev2.00.4, January 20221.1, February 2017cloud service with continuous releasesOpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialcommercialOpen 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++JavaJava
Server operating systemsLinux
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeFixed 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.nonoyesyesno
Secondary indexesyesnoall fields are automatically indexedyesno
SQL infoSupport of SQLSQL-like query languageSQL-like query language (OQL)Kusto 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
Java Client API
Memcached protocol
RESTful HTTP API
Microsoft 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
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresyesuser defined functionsYes, possible languages: KQL, Python, Ryesyes infoWarpScript
Triggersnoyes infoCache Event Listenersyes 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 replicationyes 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 ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes, on a single nodenoACIDno
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.yesyesnonoyes
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights per client and object definableAzure Active Directory AuthenticationUsers and groupsMandatory use of cryptographic tokens, containing fine-grained authorizations

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DolphinDBGeodeMicrosoft Azure Data ExplorerOpenEdgeWarp 10
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