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DBMS > BoltDB vs. Hazelcast vs. Ignite vs. NuoDB

System Properties Comparison BoltDB vs. Hazelcast vs. Ignite vs. NuoDB

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHazelcast  Xexclude from comparisonIgnite  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A widely adopted in-memory data gridApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.NuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelKey-value storeKey-value storeKey-value store
Relational DBMS
Relational DBMS
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
Score5.01
Rank#64  Overall
#12  Key-value stores
#35  Relational DBMS
Score0.94
Rank#158  Overall
#76  Relational DBMS
Websitegithub.com/­boltdb/­bolthazelcast.comignite.apache.orgwww.nuodb.com
Technical documentationhazelcast.org/­documentationapacheignite.readme.io/­docsdoc.nuodb.com
DeveloperHazelcastApache Software FoundationNuoDB, Inc.
Initial release2013200820152013
Current release3.12.2, August 2019Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial infolimited edition free
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++, Java, .NetC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 strategyyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query languageANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Supported programming languagesGo.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesyes (compute grid and cache interceptors can be used instead)Java, SQL
Triggersnoyes infoEventsyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated Mapyes (replicated cache)yes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitedACIDACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC
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.noyesyesyes infoTemporary table
User concepts infoAccess controlnoRole-based access controlSecurity Hooks for custom implementationsStandard SQL roles/ privileges, Administrative Users
More information provided by the system vendor
BoltDBHazelcastIgniteNuoDB
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

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

Why and When You Need Transactional DDL in Your Database (Tech Blog)
2 January 2020

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6 December 2019

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

How Can I Confirm That My NuoDB Upgrade Completed Successfully? (Tech Blog)
20 November 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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