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DBMS > Blueflood vs. Hazelcast vs. Hypertable vs. mSQL vs. NuoDB

System Properties Comparison Blueflood vs. Hazelcast vs. Hypertable vs. mSQL vs. NuoDB

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonHazelcast  Xexclude from comparisonHypertable  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonNuoDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on CassandraA widely adopted in-memory data gridAn open source BigTable implementation based on distributed file systems such as HadoopmSQL (Mini SQL) is a simple and lightweight RDBMSNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelTime Series DBMSKey-value storeWide column 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
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Websiteblueflood.iohazelcast.comhughestech.com.au/­products/­msqlwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationgithub.com/­rax-maas/­blueflood/­wikihazelcast.org/­imdg/­docsdoc.nuodb.com
DeveloperRackspaceHazelcastHypertable Inc.Hughes TechnologiesDassault Systèmes infooriginally NuoDB, Inc.
Initial release20132008200919942013
Current release5.3.6, November 20230.9.8.11, March 20164.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoGNU version 3. Commercial license availablecommercial infofree licenses can be providedcommercial 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 languageJavaJavaC++CC++
Server operating systemsLinux
OS X
All OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemepredefined schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesnoyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnoSQL-like query languagenoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsHTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
C++ API
Thrift
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesnonoJava, SQL
Triggersnoyes infoEventsnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingnonedata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoReplicated Mapselectable replication factor on file system levelnoneyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitednonoACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes infoMVCC
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 table
User concepts infoAccess controlnoRole-based access controlnonoStandard SQL roles/ privileges, Administrative Users

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More resources
BluefloodHazelcastHypertablemSQL infoMini SQLNuoDB
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