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DBMS > Badger vs. BigchainDB vs. Brytlyt vs. dBASE vs. Spark SQL

System Properties Comparison Badger vs. BigchainDB vs. Brytlyt vs. dBASE vs. Spark SQL

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonBrytlyt  Xexclude from comparisondBASE  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.79
Rank#212  Overall
#36  Document stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.combrytlyt.iowww.dbase.comspark.apache.org/­sql
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestdocs.brytlyt.iowww.dbase.com/­support/­knowledgebasespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDGraph LabsBrytlytAsthon TateApache Software Foundation
Initial release20172016201619792014
Current release5.0, August 2023dBASE 2019, 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoPythonC, C++ and CUDAScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
DOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesno
SQL infoSupport of SQLnonoyesnoSQL-like DML and DDL statements
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
none infoThe IDE can access other DBMS or ODBC-sources.JDBC
ODBC
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
dBase proprietary IDEJava
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLno infoThe IDE can access stored procedures in other database systems.no
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoyesfine grained access rights according to SQL-standardAccess rights for users and rolesno

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More resources
BadgerBigchainDBBrytlytdBASESpark SQL
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