DBMS > Microsoft Azure Data Explorer vs. Sadas Engine vs. TimesTen vs. VelocityDB

System Properties Comparison Microsoft Azure Data Explorer vs. Sadas Engine vs. TimesTen vs. VelocityDB

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Editorial information provided by DB-Engines
Name	Microsoft Azure Data Explorer  Xexclude from comparison	Sadas Engine  Xexclude from comparison	TimesTen  Xexclude from comparison	VelocityDB  Xexclude from comparison
Description	Fully managed big data interactive analytics platform	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments	In-Memory RDBMS compatible to Oracle	A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database model	Relational DBMS column oriented	Relational DBMS	Relational DBMS	Graph DBMS Object oriented DBMS
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) 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 3.80 Rank #81   Overall #43   Relational DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS	Score 1.36 Rank #161   Overall #75   Relational DBMS	Score 0.11 Rank #354   Overall #37   Graph DBMS #15   Object oriented DBMS
Website	azure.microsoft.com/­services/­data-explorer	www.sadasengine.com	www.oracle.com/­database/­technologies/­related/­timesten.html	velocitydb.com
Technical documentation	docs.microsoft.com/­en-us/­azure/­data-explorer	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation	docs.oracle.com/­database/­timesten-18.1	velocitydb.com/­UserGuide
Developer	Microsoft	SADAS s.r.l.	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005	VelocityDB Inc
Initial release	2019	2006	1998	2011
Current release	cloud service with continuous releases	8.0	11 Release 2 (11.2.2.8.0)	7.x
License Commercial or Open Source	commercial	commercial free trial version available	commercial	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		C++		C#
Server operating systems	hosted	AIX Linux Windows	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows	Any that supports .NET
Data scheme	Fixed schema with schema-less datatypes (dynamic)	yes	yes	yes
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	yes	yes	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.	yes	no	no	no
Secondary indexes	all fields are automatically indexed	yes	yes	yes
SQL Support of SQL	Kusto Query Language (KQL), SQL subset	yes	yes	no
APIs and other access methods	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	JDBC ODBC Proprietary protocol	JDBC ODBC ODP.NET Oracle Call Interface (OCI)	.Net
Supported programming languages	.Net Go Java JavaScript (Node.js) PowerShell Python R	.Net C C# C++ Groovy Java PHP Python	C C++ Java PL/SQL	.Net
Server-side scripts Stored procedures	Yes, possible languages: KQL, Python, R	no	PL/SQL	no
Triggers	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	no	no	Callbacks are triggered when data changes
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	horizontal partitioning	none	Sharding
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.	none	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Immediate Consistency	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency
Foreign keys Referential integrity	no	yes	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no		ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes by means of logfiles and checkpoints	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes managed by 'Learn by Usage'	yes	yes
User concepts Access control	Azure Active Directory Authentication	Access rights for users, groups and roles according to SQL-standard	fine grained access rights according to SQL-standard	Based on Windows Authentication
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More resources
	Microsoft Azure Data Explorer	Sadas Engine	TimesTen	VelocityDB
Recent citations in the news	We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates 31 May 2024, azure.microsoft.com Update records in a Kusto Database (public preview) | Azure updates 20 February 2024, azure.microsoft.com Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates 8 January 2024, azure.microsoft.com Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ... 5 February 2024, azure.microsoft.com New Features for graph-match KQL Operator: Enhanced Pattern Matching and Cycle Control | Azure updates 24 January 2024, azure.microsoft.com provided by Google News

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