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DBMS > GeoSpock vs. Microsoft Azure Data Explorer vs. SiriDB vs. SpaceTime

System Properties Comparison GeoSpock vs. Microsoft Azure Data Explorer vs. SiriDB vs. SpaceTime

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonSiriDB  Xexclude from comparisonSpaceTime  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleFully managed big data interactive analytics platformOpen Source Time Series DBMSSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSRelational DBMS infocolumn orientedTime Series DBMSSpatial DBMS
Secondary database modelsTime Series 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
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websitegeospock.comazure.microsoft.com/­services/­data-explorersiridb.comwww.mireo.com/­spacetime
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.siridb.com
DeveloperGeoSpockMicrosoftCesbitMireo
Initial release201920172020
Current release2.0, September 2019cloud service with continuous releases
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptCC++
Server operating systemshostedhostedLinuxLinux
Data schemeyesFixed schema with schema-less datatypes (dynamic)yesyes
Typing infopredefined data types such as float or dateyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes infoNumeric datayes
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.noyesnono
Secondary indexestemporal, categoricalall fields are automatically indexedyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)Kusto Query Language (KQL), SQL subsetnoA subset of ANSI SQL is implemented
APIs and other access methodsJDBCMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP APIRESTful HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Python
Server-side scripts infoStored proceduresnoYes, possible languages: KQL, Python, Rnono
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoImplicit feature of the cloud serviceShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users can be defined per tableAzure Active Directory Authenticationsimple rights management via user accountsyes

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More resources
GeoSpockMicrosoft Azure Data ExplorerSiriDBSpaceTime
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