DBMS > Microsoft Azure Data Explorer vs. Microsoft Azure Synapse Analytics vs. OrigoDB vs. Stardog

System Properties Comparison Microsoft Azure Data Explorer vs. Microsoft Azure Synapse Analytics vs. OrigoDB vs. Stardog

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Microsoft Azure Data Explorer  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	OrigoDB  Xexclude from comparison	Stardog  Xexclude from comparison
Description	Fully managed big data interactive analytics platform	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	A fully ACID in-memory object graph database	Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database model	Relational DBMS column oriented	Relational DBMS	Document store Object oriented DBMS	Graph DBMS RDF store
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 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.06 Rank #380   Overall #50   Document stores #19   Object oriented DBMS	Score 2.07 Rank #122   Overall #11   Graph DBMS #6   RDF stores
Website	azure.microsoft.com/­services/­data-explorer	azure.microsoft.com/­services/­synapse-analytics	origodb.com	www.stardog.com
Technical documentation	docs.microsoft.com/­en-us/­azure/­data-explorer	docs.microsoft.com/­azure/­synapse-analytics	origodb.com/­docs	docs.stardog.com
Developer	Microsoft	Microsoft	Robert Friberg et al	Stardog-Union
Initial release	2019	2016	2009 under the name LiveDB	2010
Current release	cloud service with continuous releases			7.3.0, May 2020
License Commercial or Open Source	commercial	commercial	Open Source	commercial 60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only Only available as a cloud service	yes	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		C++	C#	Java
Server operating systems	hosted	hosted	Linux Windows	Linux macOS Windows
Data scheme	Fixed schema with schema-less datatypes (dynamic)	yes	yes	schema-free and OWL/RDFS-schema support
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	User defined using .NET types and collections	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 can be achieved using .NET	no Import/export of XML data possible
Secondary indexes	all fields are automatically indexed	yes	yes	yes supports real-time indexing in full-text and geospatial
SQL Support of SQL	Kusto Query Language (KQL), SQL subset	yes	no	Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methods	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	ADO.NET JDBC ODBC	.NET Client API HTTP API LINQ	GraphQL query language HTTP API Jena RDF API OWL RDF4J API Sesame REST HTTP Protocol SNARL SPARQL Spring Data Stardog Studio TinkerPop 3
Supported programming languages	.Net Go Java JavaScript (Node.js) PowerShell Python R	C# Java PHP	.Net	.Net Clojure Groovy Java JavaScript Python Ruby
Server-side scripts Stored procedures	Yes, possible languages: KQL, Python, R	Transact SQL	yes	user defined functions and aggregates, HTTP Server extensions in Java
Triggers	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	no	yes Domain Events	yes via event handlers
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	Sharding, horizontal partitioning	horizontal partitioning client side managed; servers are not synchronized	none
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.	yes	Source-replica replication	Multi-source replication in HA-Cluster
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 in HA-Cluster
Foreign keys Referential integrity	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	depending on model	yes relationships in graphs
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes Write ahead log	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no		yes	yes
User concepts Access control	Azure Active Directory Authentication	yes	Role based authorization	Access rights for users and roles
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Microsoft Azure Data Explorer	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	OrigoDB	Stardog
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, 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 Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ... 5 February 2024, Microsoft Migration of Azure Virtual Network injected Azure Data Explorer cluster to Private Endpoints | Azure updates 4 December 2023, Microsoft provided by Google News	General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates 8 April 2024, Microsoft Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, Microsoft Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform 24 September 2023, DataScientest Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services 18 October 2023, AWS Blog Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek provided by Google News

Share this page