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DBMS > Badger vs. BoltDB vs. Microsoft Azure SQL Database vs. Sphinx

System Properties Comparison Badger vs. BoltDB vs. Microsoft Azure SQL Database vs. Sphinx

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBoltDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An embedded key-value store for Go.Database as a Service offering with high compatibility to Microsoft SQL ServerOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeKey-value storeRelational DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.74
Rank#220  Overall
#31  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­dgraph-io/­badgergithub.com/­boltdb/­boltazure.microsoft.com/­en-us/­products/­azure-sql/­databasesphinxsearch.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.microsoft.com/­en-us/­azure/­azure-sqlsphinxsearch.com/­docs
DeveloperDGraph LabsMicrosoftSphinx Technologies Inc.
Initial release2017201320102001
Current releaseV123.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT LicensecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGoC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Solaris
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes
Secondary indexesnonoyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyesSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesGoGo.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoTransact SQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnonofine grained access rights according to SQL-standardno

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More resources
BadgerBoltDBMicrosoft Azure SQL Database infoformerly SQL AzureSphinx
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