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DBMS > Badger vs. Databricks vs. Microsoft Azure AI Search vs. Quasardb

System Properties Comparison Badger vs. Databricks vs. Microsoft Azure AI Search vs. Quasardb

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabricks  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Search-as-a-service for web and mobile app developmentDistributed, high-performance timeseries database
Primary database modelKey-value storeDocument store
Relational DBMS
Search engineTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.databricks.comazure.microsoft.com/­en-us/­services/­searchquasar.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.comlearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­master
DeveloperDGraph LabsDatabricksMicrosoftquasardb
Initial release2017201320152009
Current releaseV13.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedhostedBSD
Linux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or datenoyesyes infointeger and binary
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.noyesnono
Secondary indexesnoyesyesyes infowith tags
SQL infoSupport of SQLnowith Databricks SQLnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP API
Supported programming languagesGoPython
R
Scala
C#
Java
JavaScript
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoTransient mode
User concepts infoAccess controlnoyes infousing Azure authenticationCryptographically strong user authentication and audit trail
More information provided by the system vendor
BadgerDatabricksMicrosoft Azure AI SearchQuasardb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
BadgerDatabricksMicrosoft Azure AI SearchQuasardb
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