DBMS > Infobright vs. LeanXcale vs. Microsoft Azure Table Storage vs. Transbase

System Properties Comparison Infobright vs. LeanXcale vs. Microsoft Azure Table Storage vs. Transbase

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Editorial information provided by DB-Engines
Name	Infobright  Xexclude from comparison	LeanXcale  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	Transbase  Xexclude from comparison
Description	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend	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	A resource-optimized, high-performance, universally applicable RDBMS
Primary database model	Relational DBMS	Key-value store Relational DBMS	Wide column store	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.02 Rank #192   Overall #90   Relational DBMS	Score 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.17 Rank #334   Overall #148   Relational DBMS
Website	ignitetech.com/­softwarelibrary/­infobrightdb	www.leanxcale.com	azure.microsoft.com/­en-us/­services/­storage/­tables	www.transaction.de/­en/­products/­transbase.html
Technical documentation				www.transaction.de/­en/­products/­transbase/­features.html
Developer	Ignite Technologies Inc.; formerly InfoBright Inc.	LeanXcale	Microsoft	Transaction Software GmbH
Initial release	2005	2015	2012	1987
Current release				Transbase 8.3, 2022
License Commercial or Open Source	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016	commercial	commercial	commercial free development license
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	C			C and C++
Server operating systems	Linux Windows		hosted	FreeBSD Linux macOS Solaris Windows
Data scheme	yes	yes	schema-free	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 Knowledge Grid Technology used instead		no	yes
SQL Support of SQL	yes	yes through Apache Derby	no	yes
APIs and other access methods	ADO.NET JDBC ODBC	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector	RESTful HTTP API	ADO.NET JDBC ODBC Proprietary native API
Supported programming languages	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	C Java Scala	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	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	none		Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication		yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	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	no	yes	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	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	yes	no	no
User concepts Access control	fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities		Access rights based on private key authentication or shared access signatures	fine grained access rights according to SQL-standard
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More resources
	Infobright	LeanXcale	Microsoft Azure Table Storage	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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