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DBMS > Badger vs. HEAVY.AI vs. Microsoft Azure AI Search vs. Rockset

System Properties Comparison Badger vs. HEAVY.AI vs. Microsoft Azure AI Search vs. Rockset

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareSearch-as-a-service for web and mobile app developmentA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelKey-value storeRelational DBMSSearch engineDocument store
Secondary database modelsSpatial DBMSVector DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.79
Rank#211  Overall
#35  Document stores
Websitegithub.com/­dgraph-io/­badgergithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­en-us/­services/­searchrockset.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.heavy.ailearn.microsoft.com/­en-us/­azure/­searchdocs.rockset.com
DeveloperDGraph LabsHEAVY.AI, Inc.MicrosoftRockset
Initial release2017201620152019
Current release5.10, January 2022V1
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ and CUDAC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linuxhostedhosted
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesnonoyesall fields are automatically indexed
SQL infoSupport of SQLnoyesnoRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
Thrift
Vega
RESTful HTTP APIHTTP REST
Supported programming languagesGoAll languages supporting JDBC/ODBC/Thrift
Python
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinSharding infoImplicit feature of the cloud serviceAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual 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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infousing Azure authenticationAccess rights for users and organizations can be defined via Rockset console

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More resources
BadgerHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure AI SearchRockset
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