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DBMS > Badger vs. LevelDB vs. Microsoft Azure AI Search vs. Spark SQL

System Properties Comparison Badger vs. LevelDB vs. Microsoft Azure AI Search vs. Spark SQL

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSearch-as-a-service for web and mobile app developmentSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeKey-value storeSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­searchspark.apache.org/­sql
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdlearn.microsoft.com/­en-us/­azure/­searchspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDGraph LabsGoogleMicrosoftApache Software Foundation
Initial release2017201120152014
Current release1.23, February 2021V13.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyes
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.nononono
Secondary indexesnonoyesno
SQL infoSupport of SQLnononoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Supported programming languagesGoC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C#
Java
JavaScript
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud serviceyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnonoyes infousing Azure authenticationno

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BadgerLevelDBMicrosoft Azure AI SearchSpark SQL
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