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DBMS > BoltDB vs. Hazelcast vs. NuoDB vs. Riak KV

System Properties Comparison BoltDB vs. Hazelcast vs. NuoDB vs. Riak KV

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHazelcast  Xexclude from comparisonNuoDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A widely adopted in-memory data gridNuoDB is a webscale distributed database that supports SQL and ACID transactionsDistributed, fault tolerant key-value store
Primary database modelKey-value storeKey-value storeRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.48
Rank#212  Overall
#35  Key-value stores
Score8.36
Rank#45  Overall
#5  Key-value stores
Score0.94
Rank#158  Overall
#76  Relational DBMS
Score5.39
Rank#59  Overall
#9  Key-value stores
Websitegithub.com/­boltdb/­bolthazelcast.comwww.nuodb.combasho.com/­products/­riak-kv
Technical documentationhazelcast.org/­documentationdoc.nuodb.com
DeveloperHazelcastNuoDB, Inc.Basho Technologies
Initial release2013200820132009
Current release3.12.2, August 20192.1.0, April 2015
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availablecommercial infolimited edition freeOpen 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 languageGoJavaC++Erlang
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.noyes infothe object must implement a serialization strategynono
Secondary indexesnoyesyesrestricted
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesGo.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
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 proceduresnoyes infoEvent Listeners, Executor ServicesJava, SQLJavaScript and Erlang
Triggersnoyes infoEventsyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardingdata is dynamically stored/cached on the nodes where it is read/writtenSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated Mapyes infoManaged transparently by NuoDBselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitedACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTemporary table
User concepts infoAccess controlnoRole-based access controlStandard SQL roles/ privileges, Administrative Usersno
More information provided by the system vendor
BoltDBHazelcastNuoDBRiak KV
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Horizontal scale-out, continuous availability, multi-tenant support, ANSI SQL compatible,...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
NuoDB is a scale-out SQL RDBMS based on a Durable Distributed Caching (DDC) architecture....
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Operational / OLTP database workloads in data centers or public clouds
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Dassault Systemes, Santander, Temenos
» more
Market metricsFast growing commercial and enterprise customer base IDC Innovators: Dynamically...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more
Subscription-based pricing with free community edition and commercial enterprise...
» more
News

Deploy the NuoDB Database in Docker Containers - Part I (Tech Blog)
23 January 2020

Running NuoDB in Docker - Part III: How to use common SQL execution GUI tools with NuoDB (Tech Blog)
16 January 2020

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2 January 2020

Answers to Your 5 Questions about Database Scalability (Tech Blog)
6 December 2019

Top 10 FAQs from KubeCon 2019 in San Diego (Tech Blog)
26 November 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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