DBMS > LeanXcale vs. Microsoft Azure Table Storage vs. Sadas Engine vs. Transbase

System Properties Comparison LeanXcale vs. Microsoft Azure Table Storage vs. Sadas Engine vs. Transbase

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Editorial information provided by DB-Engines
Name	LeanXcale  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	Sadas Engine  Xexclude from comparison	Transbase  Xexclude from comparison
Description	A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities	A Wide Column Store for rapid development using massive semi-structured datasets	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments	A resource-optimized, high-performance, universally applicable RDBMS
Primary database model	Key-value store Relational DBMS	Wide column store	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.07 Rank #373   Overall #157   Relational DBMS	Score 0.17 Rank #334   Overall #148   Relational DBMS
Website	www.leanxcale.com	azure.microsoft.com/­en-us/­services/­storage/­tables	www.sadasengine.com	www.transaction.de/­en/­products/­transbase.html
Technical documentation			www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation	www.transaction.de/­en/­products/­transbase/­features.html
Developer	LeanXcale	Microsoft	SADAS s.r.l.	Transaction Software GmbH
Initial release	2015	2012	2006	1987
Current release			8.0	Transbase 8.3, 2022
License Commercial or Open Source	commercial	commercial	commercial free trial version available	commercial free development license
Cloud-based only Only available as a cloud service	no	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 and C++
Server operating systems		hosted	AIX Linux Windows	FreeBSD Linux macOS Solaris Windows
Data scheme	yes	schema-free	yes	yes
Typing predefined data types such as float or date		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.		no	no	no
Secondary indexes		no	yes	yes
SQL Support of SQL	yes through Apache Derby	no	yes	yes
APIs and other access methods	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector	RESTful HTTP API	JDBC ODBC Proprietary protocol	ADO.NET JDBC ODBC Proprietary native API
Supported programming languages	C Java Scala	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	.Net C C# C++ Groovy Java PHP Python	C C# C++ Java JavaScript Kotlin Objective-C PHP Python
Server-side scripts Stored procedures		no	no	yes
Triggers		no	no	yes
Partitioning methods Methods for storing different data on different nodes		Sharding Implicit feature of the cloud service	horizontal partitioning
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	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	optimistic locking		yes
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.	yes	no	yes managed by 'Learn by Usage'	no
User concepts Access control		Access rights based on private key authentication or shared access signatures	Access rights for users, groups and roles according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	LeanXcale	Microsoft Azure Table Storage	Sadas Engine	Transbase
Recent citations in the news		Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to use Azure Table storage in .Net 14 January 2019, InfoWorld How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com Inside Azure File Storage 7 October 2015, Microsoft How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News

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