DBMS > Microsoft Azure Data Explorer vs. Sadas Engine vs. Transwarp StellarDB vs. XTDB

System Properties Comparison Microsoft Azure Data Explorer vs. Sadas Engine vs. Transwarp StellarDB vs. XTDB

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Editorial information provided by DB-Engines
Name	Microsoft Azure Data Explorer  Xexclude from comparison	Sadas Engine  Xexclude from comparison	Transwarp StellarDB  Xexclude from comparison	XTDB formerly named Crux  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	A distributed graph DBMS built for enterprise-level graph applications	A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database model	Relational DBMS column oriented	Relational DBMS	Graph DBMS	Document 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 0.07 Rank #373   Overall #157   Relational DBMS	Score 0.07 Rank #371   Overall #39   Graph DBMS	Score 0.18 Rank #332   Overall #46   Document stores
Website	azure.microsoft.com/­services/­data-explorer	www.sadasengine.com	www.transwarp.cn/­en/­product/­stellardb	github.com/­xtdb/­xtdb www.xtdb.com
Technical documentation	docs.microsoft.com/­en-us/­azure/­data-explorer	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation		www.xtdb.com/­docs
Developer	Microsoft	SADAS s.r.l.	Transwarp	Juxt Ltd.
Initial release	2019	2006		2019
Current release	cloud service with continuous releases	8.0		1.19, September 2021
License Commercial or Open Source	commercial	commercial free trial version available	commercial	Open Source MIT License
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++		Clojure
Server operating systems	hosted	AIX Linux Windows		All OS with a Java 8 (and higher) VM Linux
Data scheme	Fixed schema with schema-less datatypes (dynamic)	yes		schema-free
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, extensible-data-notation format
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
Secondary indexes	all fields are automatically indexed	yes		yes
SQL Support of SQL	Kusto Query Language (KQL), SQL subset	yes	SQL-like query language	limited SQL, making use of Apache Calcite
APIs and other access methods	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	JDBC ODBC Proprietary protocol	OpenCypher	HTTP REST JDBC
Supported programming languages	.Net Go Java JavaScript (Node.js) PowerShell Python R	.Net C C# C++ Groovy Java PHP Python		Clojure Java
Server-side scripts Stored procedures	Yes, possible languages: KQL, Python, R	no		no
Triggers	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	no		no
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	horizontal partitioning	horizontal partitioning	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.	none		yes, each node contains all data
MapReduce Offers an API for user-defined Map/Reduce methods	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no		no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes		no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no			ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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'
User concepts Access control	Azure Active Directory Authentication	Access rights for users, groups and roles according to SQL-standard	yes
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More resources
	Microsoft Azure Data Explorer	Sadas Engine	Transwarp StellarDB	XTDB formerly named Crux
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 New Features for graph-match KQL Operator: Enhanced Pattern Matching and Cycle Control | Azure updates 24 January 2024, Microsoft provided by Google News

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