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DBMS > Badger vs. EsgynDB vs. etcd vs. Riak KV vs. Sadas Engine

System Properties Comparison Badger vs. EsgynDB vs. etcd vs. Riak KV vs. Sadas Engine

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEsgynDB  Xexclude from comparisonetcd  Xexclude from comparisonRiak KV  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed reliable key-value storeDistributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value storeRelational DBMSKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score7.64
Rank#54  Overall
#5  Key-value stores
Score4.44
Rank#80  Overall
#9  Key-value stores
Score0.03
Rank#379  Overall
#156  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.esgyn.cnetcd.io
github.com/­etcd-io/­etcd
www.sadasengine.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgeretcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.tiot.jp/­riak-docs/­riak/­kv/­latestwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperDGraph LabsEsgynOpenSource, formerly Basho TechnologiesSADAS s.r.l.
Initial release2017201520092006
Current release3.4, August 20193.2.0, December 20228.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise editioncommercial infofree trial version available
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.
Implementation languageGoC++, JavaGoErlangC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
Windows infoexperimental
Linux
OS X
AIX
Linux
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesnonoyes
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.nonononono
Secondary indexesnoyesnorestrictedyes
SQL infoSupport of SQLnoyesnonoyes
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
JSON over HTTP
HTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
Supported programming languagesGoAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored ProceduresnoErlangno
Triggersnonoyes, watching key changesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infono "single point of failure"horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nononoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standard

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More resources
BadgerEsgynDBetcdRiak KVSadas Engine
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