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DBMS > BoltDB vs. Hazelcast vs. Heroic vs. NuoDB vs. Splice Machine

System Properties Comparison BoltDB vs. Hazelcast vs. Heroic vs. NuoDB vs. Splice Machine

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHazelcast  Xexclude from comparisonHeroic  Xexclude from comparisonNuoDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A widely adopted in-memory data gridTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchNuoDB is a webscale distributed database that supports SQL and ACID transactionsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeKey-value storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitegithub.com/­boltdb/­bolthazelcast.comgithub.com/­spotify/­heroicwww.3ds.com/­nuodb-distributed-sql-databasesplicemachine.com
Technical documentationhazelcast.org/­imdg/­docsspotify.github.io/­heroicdoc.nuodb.comsplicemachine.com/­how-it-works
DeveloperHazelcastSpotifyDassault Systèmes infooriginally NuoDB, Inc.Splice Machine
Initial release20132008201420132014
Current release5.3.6, November 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial infolimited edition freeOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJavaC++Java
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
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesnoyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnoSQL-like query languagenoyesyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
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#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesnoJava, SQLyes infoJava
Triggersnoyes infoEventsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingdata is dynamically stored/cached on the nodes where it is read/writtenShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated Mapyesyes infoManaged transparently by NuoDBMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitednoACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes, multi-version concurrency control (MVCC)
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.noyesnoyes infoTemporary tableyes
User concepts infoAccess controlnoRole-based access controlStandard SQL roles/ privileges, Administrative UsersAccess rights for users, groups and roles according to SQL-standard

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More resources
BoltDBHazelcastHeroicNuoDBSplice Machine
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