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

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

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatomic  Xexclude from comparisonGridGain  Xexclude from comparisonHazelcast  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGridGain is an in-memory computing platform, built on Apache IgniteA widely adopted in-memory data gridNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelKey-value storeRelational DBMSKey-value store
Relational DBMS
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
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.89
Rank#198  Overall
#92  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.datomic.comwww.gridgain.comhazelcast.comwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationdocs.datomic.comwww.gridgain.com/­docs/­index.htmlhazelcast.org/­imdg/­docsdoc.nuodb.com
DeveloperCognitectGridGain Systems, Inc.HazelcastDassault Systèmes infooriginally NuoDB, Inc.
Initial release20132012200720082013
Current release1.0.6735, June 2023GridGain 8.5.15.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infolimited edition freecommercialOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ClojureJava, C++, .NetJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
All OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeyes
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.nonoyesyes infothe object must implement a serialization strategyno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesGoClojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
.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 Functionsyes (compute grid and cache interceptors can be used instead)yes infoEvent Listeners, Executor ServicesJava, SQL
TriggersnoBy using transaction functionsyes (cache interceptors and events)yes 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 peersyes (replicated cache)yes infoReplicated Mapyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonononoyes
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 developmentyesyesyes infoTemporary table
User concepts infoAccess controlnonoSecurity Hooks for custom implementationsRole-based access controlStandard SQL roles/ privileges, Administrative Users

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More resources
BoltDBDatomicGridGainHazelcastNuoDB
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