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DBMS > BoltDB vs. Datomic vs. Hazelcast vs. NuoDB vs. Spark SQL

System Properties Comparison BoltDB vs. Datomic vs. Hazelcast vs. NuoDB vs. Spark SQL

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatomic  Xexclude from comparisonHazelcast  Xexclude from comparisonNuoDB  Xexclude from comparisonSpark SQL  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 durabilityA widely adopted in-memory data gridNuoDB is a webscale distributed database that supports SQL and ACID transactionsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeRelational DBMSKey-value storeRelational 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
Score0.47
Rank#210  Overall
#36  Key-value stores
Score1.99
Rank#110  Overall
#53  Relational DBMS
Score9.07
Rank#45  Overall
#5  Key-value stores
Score1.02
Rank#146  Overall
#71  Relational DBMS
Score17.15
Rank#35  Overall
#21  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.datomic.comhazelcast.comwww.nuodb.comspark.apache.org/­sql
Technical documentationdocs.datomic.comhazelcast.org/­documentationdoc.nuodb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCognitectHazelcastNuoDB, Inc.Apache Software Foundation
Initial release20132012200820132014
Current release0.9.5951, July 20194.0, February 20202.4.5, February 2020
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses availablecommercial infolimited edition freeOpen Source infoApache 2.0
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, ClojureJavaC++Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAll OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-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.nonoyes infothe object must implement a serialization strategynono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnonoSQL-like query languageyesSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGoClojure
Java
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyes infoEvent Listeners, Executor ServicesJava, SQLno
TriggersnoBy using transaction functionsyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingdata is dynamically stored/cached on the nodes where it is read/writtenyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersyes infoReplicated Mapyes infoManaged transparently by NuoDBnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDone or two-phase-commit; repeatable reads; read commitedACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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 tableno
User concepts infoAccess controlnonoRole-based access controlStandard SQL roles/ privileges, Administrative Usersno
More information provided by the system vendor
BoltDBDatomicHazelcastNuoDBSpark SQL
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
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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BoltDBDatomicHazelcastNuoDBSpark SQL
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