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DBMS > Microsoft Azure Data Explorer vs. openGemini vs. TerminusDB vs. VelocityDB

System Properties Comparison Microsoft Azure Data Explorer vs. openGemini vs. TerminusDB vs. VelocityDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonopenGemini  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMS infocolumn orientedTime Series DBMSGraph DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument 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
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Websiteazure.microsoft.com/­services/­data-explorerwww.opengemini.org
github.com/­openGemini
terminusdb.comvelocitydb.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.opengemini.org/­guideterminusdb.github.io/­terminusdb/­#velocitydb.com/­UserGuide
DeveloperMicrosoftHuawei and openGemini communityDataChemist Ltd.VelocityDB Inc
Initial release2019202220182011
Current releasecloud service with continuous releases1.1, July 202311.0.0, January 20237.x
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoProlog, RustC#
Server operating systemshostedLinux
Windows
LinuxAny that supports .NET
Data schemeFixed schema with schema-less datatypes (dynamic)schema-freeyesyes
Typing infopredefined data types such as float or dateyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesInteger, Float, Boolean, Stringyesyes
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.yesnonono
Secondary indexesall fields are automatically indexedyesyes
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetSQL-like query languageSQL-like query language (WOQL)no
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP RESTOWL
RESTful HTTP API
WOQL (Web Object Query Language)
.Net
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
JavaScript
Python
.Net
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Rnoyesno
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAzure Active Directory AuthenticationAdministrators and common users accountsRole-based access controlBased on Windows Authentication

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More resources
Microsoft Azure Data ExploreropenGeminiTerminusDB infoformer name was DataChemistVelocityDB
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