DBMS > Axibase vs. Linter vs. Microsoft Azure Data Explorer vs. Transwarp KunDB

System Properties Comparison Axibase vs. Linter vs. Microsoft Azure Data Explorer vs. Transwarp KunDB

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Editorial information provided by DB-Engines
Name	Axibase  Xexclude from comparison	Linter  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	Transwarp KunDB  Xexclude from comparison
Description	Scalable TimeSeries DBMS based on HBase with integrated rule engine and visualization	RDBMS for high security requirements	Fully managed big data interactive analytics platform	OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database model	Time Series DBMS	Relational DBMS	Relational DBMS column oriented	Relational DBMS
Secondary database models		Spatial DBMS	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) Spatial DBMS 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
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.35 Rank #282   Overall #25   Time Series DBMS	Score 0.12 Rank #350   Overall #152   Relational DBMS	Score 3.80 Rank #81   Overall #43   Relational DBMS	Score 0.14 Rank #341   Overall #149   Relational DBMS
Website	axibase.com/­docs/­atsd/­finance	linter.ru	azure.microsoft.com/­services/­data-explorer	www.transwarp.cn/­en/­product/­kundb
Technical documentation			docs.microsoft.com/­en-us/­azure/­data-explorer
Developer	Axibase Corporation	relex.ru	Microsoft	Transwarp
Initial release	2013	1990	2019
Current release	15585		cloud service with continuous releases
License Commercial or Open Source	commercial Community Edition (single node) is free, Enterprise Edition (distributed) is paid	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C and C++
Server operating systems	Linux	AIX Android BSD HP Open VMS iOS Linux OS X VxWorks Windows	hosted
Data scheme	yes	yes	Fixed schema with schema-less datatypes (dynamic)	yes
Typing predefined data types such as float or date	yes short, integer, long, float, double, decimal, string	yes	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	yes
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.	no	no	yes
Secondary indexes	no	yes	all fields are automatically indexed	yes
SQL Support of SQL	SQL-like query language	yes	Kusto Query Language (KQL), SQL subset	yes
APIs and other access methods	JDBC Proprietary protocol (Network API) RESTful HTTP API	ADO.NET JDBC LINQ ODBC OLE DB Oracle Call Interface (OCI)	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API
Supported programming languages	Go Java PHP Python R Ruby	C C# C++ Java Perl PHP Python Qt Ruby Tcl	.Net Go Java JavaScript (Node.js) PowerShell Python R
Server-side scripts Stored procedures	yes	yes proprietary syntax with the possibility to convert from PL/SQL	Yes, possible languages: KQL, Python, R	yes
Triggers	yes	yes	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	none	Sharding Implicit feature of the cloud service	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	Source-replica replication	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	yes	no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no
Consistency concepts Methods to ensure consistency in a distributed system		Immediate Consistency	Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.			no
User concepts Access control		fine grained access rights according to SQL-standard	Azure Active Directory Authentication	yes
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More resources
	Axibase	Linter	Microsoft Azure Data Explorer	Transwarp KunDB
Recent citations in the news	The Ultimate ATV Test: Suzuki's King Quad 750 AXI Rugged Package vs. Alaska's Hunting Season 20 April 2021, Outdoor Life provided by Google News		We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates 31 May 2024, Microsoft Update records in a Kusto Database (public preview) | Azure updates 20 February 2024, Microsoft Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates 8 January 2024, Microsoft New Features for graph-match KQL Operator: Enhanced Pattern Matching and Cycle Control | Azure updates 24 January 2024, Microsoft Public Preview: Azure Data Explorer Add-On for Splunk | Azure updates 3 October 2023, Microsoft provided by Google News

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