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

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

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Editorial information provided by DB-Engines
Name	Badger  Xexclude from comparison	Bangdb  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.	Converged and high performance database for device data, events, time series, document and graph	A Wide Column Store for rapid development using massive semi-structured datasets	Object-relational database and reports server
Primary database model	Key-value store	Document store Graph DBMS Time Series DBMS	Wide column store	Relational DBMS
Secondary database models		Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.22 Rank #320   Overall #47   Key-value stores	Score 0.16 Rank #338   Overall #47   Document stores #32   Graph DBMS #31   Time Series 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	bangdb.com	azure.microsoft.com/­en-us/­services/­storage/­tables	www.valentina-db.net
Technical documentation	godoc.org/­github.com/­dgraph-io/­badger	docs.bangdb.com		valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Developer	DGraph Labs	Sachin Sinha, BangDB	Microsoft	Paradigma Software
Initial release	2017	2012	2012	1999
Current release		BangDB 2.0, October 2021		5.7.5
License Commercial or Open Source	Open Source Apache 2.0	Open Source BSD 3	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, C++
Server operating systems	BSD Linux OS X Solaris Windows	Linux	hosted	Linux OS X Windows
Data scheme	schema-free	schema-free	schema-free	yes
Typing predefined data types such as float or date	no	yes: string, long, double, int, geospatial, stream, events	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 secondary, composite, nested, reverse, geospatial	no	yes
SQL Support of SQL	no	SQL like support with command line tool	no	yes
APIs and other access methods		Proprietary protocol RESTful HTTP API	RESTful HTTP API	ODBC
Supported programming languages	Go	C C# C++ Java Python	.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	yes, Notifications (with Streaming only)	no	yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	none	selectable replication factor, Knob for CAP (enterprise version only)	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	Tunable consistency, set CAP knob accordingly	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, optimistic concurrency control	yes
Durability Support for making data persistent	yes	yes, implements WAL (Write ahead log) as well	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes, run db with in-memory only mode	no	yes
User concepts Access control	no	yes (enterprise version only)	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	Bangdb	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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