DBMS > GBase vs. Microsoft Azure Data Explorer
System Properties Comparison GBase vs. Microsoft Azure Data Explorer
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines
|GBase Xexclude from comparison
|Microsoft Azure Data Explorer Xexclude from comparison
|An analytical database for business intelligence with large customers in China.
|Fully managed big data interactive analytics platform
|Primary database model
|Relational DBMS column oriented
|Secondary database models
|Document store If 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 this 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)
Search engine support 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 see docs.microsoft.com/en-us/azure/data-explorer/time-series-analysis
|cloud service with continuous releases
|License Commercial or Open Source
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems
|Fixed schema with schema-less datatypes (dynamic)
|Typing predefined data types such as float or date
|yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/en-us/azure/kusto/query/scalar-data-types
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|all fields are automatically indexed
|SQL Support of SQL
|Kusto Query Language (KQL), SQL subset
|APIs and other access methods
|Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
|Supported programming languages
|Server-side scripts Stored procedures
|Yes, possible languages: KQL, Python, R
|yes see docs.microsoft.com/en-us/azure/kusto/management/updatepolicy
|Partitioning methods Methods for storing different data on different nodes
|Sharding Implicit feature of the cloud service
|Replication methods Methods for redundantly storing data on multiple nodes
|yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
|MapReduce Offers an API for user-defined Map/Reduce methods
|Spark connector (open source): github.com/Azure/azure-kusto-spark
|Consistency concepts Methods to ensure consistency in a distributed system
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|Azure Active Directory Authentication
|More information provided by the system vendor
|Microsoft Azure Data Explorer
|Azure Data Explorer is a fast and highly scalable data exploration service for log...
|Kusto Query Language (innovative query language, optimized for high performance data...
|Typical application scenarios
|IoT applications IoT devices generate billions of sensor readings. Normalizing and...
|Microsoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
|Azure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
|Licensing and pricing models
|An Azure Data Explorer cluster is a pair of engine and data management clusters which...
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Microsoft Azure Data Explorer
|Recent citations in the news
Introducing Microsoft Fabric: The data platform for the era of AI | Microsoft Azure Blog
Microsoft Introduces Azure Integration Environments and Business Process Tracking in Public Preview
Microsoft blames Azure West Europe networking issues on severe weather conditions
provided by Google News
Share this page