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DBMS > BoltDB vs. Datomic vs. Google Cloud Datastore vs. Hazelcast vs. NuoDB

System Properties Comparison BoltDB vs. Datomic vs. Google Cloud Datastore vs. Hazelcast vs. NuoDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Datastore  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 durabilityAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA widely adopted in-memory data gridNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelKey-value storeRelational DBMSDocument storeKey-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
Score0.50
Rank#207  Overall
#34  Key-value stores
Score1.98
Rank#111  Overall
#53  Relational DBMS
Score4.80
Rank#65  Overall
#11  Document stores
Score9.16
Rank#44  Overall
#5  Key-value stores
Score0.94
Rank#153  Overall
#75  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.datomic.comcloud.google.com/­datastorehazelcast.comwww.nuodb.com
Technical documentationdocs.datomic.comcloud.google.com/­datastore/­docshazelcast.org/­documentationdoc.nuodb.com
DeveloperCognitectGoogleHazelcastNuoDB, Inc.
Initial release20132012200820082013
Current release0.9.5951, July 20194.0, February 2020
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 servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ClojureJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMhostedAll OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyes, details hereyesyes
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.nononoyes infothe object must implement a serialization strategyno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoSQL-like query language (GQL)SQL-like query languageyes
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesGoClojure
Java
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.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 Functionsusing Google App Engineyes infoEvent Listeners, Executor ServicesJava, SQL
TriggersnoBy using transaction functionsCallbacks using the Google Apps Engineyes 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 peersMulti-Master replication using Paxosyes infoReplicated Mapyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsone 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 developmentnoyesyes infoTemporary table
User concepts infoAccess controlnonoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlStandard SQL roles/ privileges, Administrative Users
More information provided by the system vendor
BoltDBDatomicGoogle Cloud DatastoreHazelcastNuoDB
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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What Does Distributed SQL Really Mean? (Tech Blog)
5 February 2020

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

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More resources
BoltDBDatomicGoogle Cloud DatastoreHazelcastNuoDB
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