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DBMS > Dolt vs. LevelDB vs. NSDb vs. Riak KV

System Properties Comparison Dolt vs. LevelDB vs. NSDb vs. Riak KV

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonLevelDB  Xexclude from comparisonNSDb  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDistributed, fault tolerant key-value store
Primary database modelRelational DBMSKey-value storeTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.93
Rank#194  Overall
#90  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­google/­leveldbnsdb.io
Technical documentationdocs.dolthub.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdnsdb.io/­Architecturewww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperDoltHub IncGoogleOpenSource, formerly Basho Technologies
Initial release2018201120172009
Current release1.23, February 20213.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSDOpen Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java, ScalaErlang
Server operating systemsLinux
macOS
Windows
Illumos
Linux
OS X
Windows
Linux
macOS
Linux
OS X
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes: int, bigint, decimal, stringno
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.nononono
Secondary indexesyesnoall fields are automatically indexedrestricted
SQL infoSupport of SQLyesnoSQL-like query languageno
APIs and other access methodsCLI Client
HTTP REST
gRPC
HTTP REST
WebSocket
HTTP API
Native Erlang Interface
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
Scala
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 proceduresyes infocurrently in alpha releasenonoErlang
Triggersyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.noneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesUsing Apache Luceneyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupnoyes, using Riak Security

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More resources
DoltLevelDBNSDbRiak KV
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