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DBMS > GreptimeDB vs. H2GIS vs. Microsoft Azure Data Explorer

System Properties Comparison GreptimeDB vs. H2GIS vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonH2GIS  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencySpatial extension of H2Fully managed big data interactive analytics platform
Primary database modelTime Series DBMSSpatial DBMSRelational DBMS infocolumn oriented
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
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Websitegreptime.comwww.h2gis.orgazure.microsoft.com/­services/­data-explorer
Technical documentationdocs.greptime.comwww.h2gis.org/­docs/­homedocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperGreptime Inc.CNRSMicrosoft
Initial release202220132019
Current releasecloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoLGPL 3.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJava
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
hosted
Data schemeschema-free, schema definition possibleyesFixed schema with schema-less datatypes (dynamic)
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-types
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.nonoyes
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLyesyesKusto Query Language (KQL), SQL subset
APIs and other access methodsgRPC
HTTP API
JDBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
Java.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresPythonyes infobased on H2Yes, possible languages: KQL, Python, R
Triggersyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlSimple rights management via user accountsyes infobased on H2Azure Active Directory Authentication
More information provided by the system vendor
GreptimeDBH2GISMicrosoft Azure Data Explorer
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
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Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
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Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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GreptimeDBH2GISMicrosoft Azure Data Explorer
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