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DBMS > Badger vs. jBASE vs. Microsoft SQL Server vs. Riak KV vs. RisingWave

System Properties Comparison Badger vs. jBASE vs. Microsoft SQL Server vs. Riak KV vs. RisingWave

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRiak KV  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A robust multi-value DBMS comprising development tools and middlewareMicrosofts flagship relational DBMSDistributed, fault tolerant key-value storeA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelKey-value storeMultivalue DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Score0.61
Rank#237  Overall
#111  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.microsoft.com/­en-us/­sql-serverwww.risingwave.com/­database
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9learn.microsoft.com/­en-US/­sql/­sql-serverwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.risingwave.com/­docs/­current/­intro
DeveloperDGraph LabsRocket Software (formerly Zumasys)MicrosoftOpenSource, formerly Basho TechnologiesRisingWave Labs
Initial release20171991198920092022
Current release5.7SQL Server 2022, November 20223.2.0, December 20221.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial inforestricted free version is availableOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageGoC++ErlangRust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
AIX
Linux
Windows
Linux
Windows
Linux
OS X
Docker
Linux
macOS
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenooptionalyesnoStandard 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.noyesyesnono
Secondary indexesnoyesrestrictedyes
SQL infoSupport of SQLnoEmbedded SQL for jBASE in BASICyesnoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Native Erlang Interface
JDBC
PostgreSQL wire protocol
Supported programming languagesGo.Net
Basic
Jabbascript
Java
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaErlangUDFs in Python or Java
Triggersnoyesyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes, but depending on the SQL-Server Editionselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardyes, using Riak SecurityUsers and Roles

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More resources
BadgerjBASEMicrosoft SQL ServerRiak KVRisingWave
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