DBMS > Badger vs. Infobright vs. Microsoft Azure Table Storage vs. Valentina Server

System Properties Comparison Badger vs. Infobright vs. Microsoft Azure Table Storage vs. Valentina Server

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Editorial information provided by DB-Engines
Name	Badger  Xexclude from comparison	Infobright  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	Valentina Server  Xexclude from comparison
Description	An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend	A Wide Column Store for rapid development using massive semi-structured datasets	Object-relational database and reports server
Primary database model	Key-value store	Relational DBMS	Wide column store	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.22 Rank #320   Overall #47   Key-value stores	Score 1.02 Rank #192   Overall #90   Relational DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.21 Rank #325   Overall #144   Relational DBMS
Website	github.com/­dgraph-io/­badger	ignitetech.com/­softwarelibrary/­infobrightdb	azure.microsoft.com/­en-us/­services/­storage/­tables	www.valentina-db.net
Technical documentation	godoc.org/­github.com/­dgraph-io/­badger			valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Developer	DGraph Labs	Ignite Technologies Inc.; formerly InfoBright Inc.	Microsoft	Paradigma Software
Initial release	2017	2005	2012	1999
Current release				5.7.5
License Commercial or Open Source	Open Source Apache 2.0	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016	commercial	commercial
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	Go	C
Server operating systems	BSD Linux OS X Solaris Windows	Linux Windows	hosted	Linux OS X Windows
Data scheme	schema-free	yes	schema-free	yes
Typing predefined data types such as float or date	no	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	no Knowledge Grid Technology used instead	no	yes
SQL Support of SQL	no	yes	no	yes
APIs and other access methods		ADO.NET JDBC ODBC	RESTful HTTP API	ODBC
Supported programming languages	Go	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	.Net C C# C++ Objective-C PHP Ruby Visual Basic Visual Basic.NET
Server-side scripts Stored procedures	no	no	no	yes
Triggers	no	no	no	yes
Partitioning methods Methods for storing different data on different nodes	none	none	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	none	Source-replica replication	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	none	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	optimistic locking
Concurrency Support for concurrent manipulation of data	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.	no	yes	no	yes
User concepts Access control	no	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
	Badger	Infobright	Microsoft Azure Table Storage	Valentina Server
Recent citations in the news			Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News	A Look at Valentina — SitePoint 18 April 2014, SitePoint MySQL GUI Tools for Windows and Ubuntu/Linux: Top 8 free or open source 7 December 2018, H2S Media provided by Google News

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