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DBMS > Badger vs. Brytlyt vs. Lovefield vs. RisingWave

System Properties Comparison Badger vs. Brytlyt vs. Lovefield vs. RisingWave

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonLovefield  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLEmbeddable relational database for web apps written in pure JavaScriptA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score0.61
Rank#237  Overall
#111  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbrytlyt.iogoogle.github.io/­lovefieldwww.risingwave.com/­database
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iogithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.risingwave.com/­docs/­current/­intro
DeveloperDGraph LabsBrytlytGoogleRisingWave Labs
Initial release2017201620142022
Current release5.0, August 20232.1.12, February 20171.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++ and CUDAJavaScriptRust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariDocker
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesStandard SQL-types and JSON
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
PostgreSQL wire protocol
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
JavaScriptGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnoUDFs in Python or Java
TriggersnoyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 infousing MemoryDByes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoUsers and Roles

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BadgerBrytlytLovefieldRisingWave
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