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DBMS > Badger vs. DuckDB vs. EsgynDB vs. HarperDB vs. Riak KV

System Properties Comparison Badger vs. DuckDB vs. EsgynDB vs. HarperDB vs. Riak KV

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDuckDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonHarperDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An embeddable, in-process, column-oriented SQL OLAP RDBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Distributed, fault tolerant key-value store
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitegithub.com/­dgraph-io/­badgerduckdb.orgwww.esgyn.cnwww.harperdb.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerduckdb.org/­docsdocs.harperdb.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperDGraph LabsEsgynHarperDBOpenSource, formerly Basho Technologies
Initial release20172018201520172009
Current release0.10, February 20243.1, August 20213.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT Licensecommercialcommercial infofree community edition availableOpen Source infoApache version 2, commercial enterprise edition
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++C++, JavaNode.jsErlang
Server operating systemsBSD
Linux
OS X
Solaris
Windows
server-lessLinuxLinux
OS X
Linux
OS X
Data schemeschema-freeyesyesdynamic schemaschema-free
Typing infopredefined data types such as float or datenoyesyesyes infoJSON data typesno
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 indexesnoyesyesyesrestricted
SQL infoSupport of SQLnoyesyesSQL-like data manipulation statementsno
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP API
Native Erlang Interface
Supported programming languagesGoC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
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
Server-side scripts infoStored proceduresnonoJava Stored ProceduresCustom Functions infosince release 3.1Erlang
Triggersnonononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingA table resides as a whole on one (or more) nodes in a clusterSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication between multi datacentersyes infothe nodes on which a table resides can be definedselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardAccess rights for users and rolesyes, using Riak Security

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More resources
BadgerDuckDBEsgynDBHarperDBRiak KV
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