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DBMS > BoltDB vs. Datomic vs. FoundationDB vs. Hazelcast vs. NuoDB

System Properties Comparison BoltDB vs. Datomic vs. FoundationDB vs. Hazelcast vs. NuoDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatomic  Xexclude from comparisonFoundationDB  Xexclude from comparisonHazelcast  Xexclude from comparisonNuoDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionAn embedded key-value store for Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOrdered key-value store. Core features are complimented by layers.A widely adopted in-memory data gridNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelKey-value storeRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeRelational 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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.89
Rank#198  Overall
#92  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.datomic.comgithub.com/­apple/­foundationdbhazelcast.comwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationdocs.datomic.comapple.github.io/­foundationdbhazelcast.org/­imdg/­docsdoc.nuodb.com
DeveloperCognitectFoundationDBHazelcastDassault Systèmes infooriginally NuoDB, Inc.
Initial release20132012201320082013
Current release1.0.6735, June 20236.2.28, November 20205.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, ClojureC++JavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows
All OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeyesschema-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or datenoyesno infosome layers support typingyesyes
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnonosupported in specific SQL layer onlySQL-like query languageyes
APIs and other access methodsRESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesGoClojure
Java
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsin SQL-layer onlyyes infoEvent Listeners, Executor ServicesJava, SQL
TriggersnoBy using transaction functionsnoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersyesyes infoReplicated Mapyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyLinearizable consistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonoin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDone or two-phase-commit; repeatable reads; read commitedACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyes infoTemporary table
User concepts infoAccess controlnononoRole-based access controlStandard SQL roles/ privileges, Administrative Users

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More resources
BoltDBDatomicFoundationDBHazelcastNuoDB
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