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DBMS > Badger vs. Kinetica vs. Lovefield vs. SQream DB

System Properties Comparison Badger vs. Kinetica vs. Lovefield vs. SQream DB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonKinetica  Xexclude from comparisonLovefield  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Fully vectorized database across both GPUs and CPUsEmbeddable relational database for web apps written in pure JavaScripta GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.kinetica.comgoogle.github.io/­lovefieldsqream.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.kinetica.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.sqream.com
DeveloperDGraph LabsKineticaGoogleSQream Technologies
Initial release2017201220142017
Current release7.1, August 20212.1.12, February 20172022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++JavaScriptC++, CUDA, Haskell, Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes, ANSI Standard SQL Types
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.nonono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
Supported programming languagesGoC++
Java
JavaScript (Node.js)
Python
JavaScriptC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions in Python
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes infousing MemoryDB
User concepts infoAccess controlnoAccess rights for users and roles on table levelno

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More resources
BadgerKineticaLovefieldSQream DB
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