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DBMS > Amazon Neptune vs. Blueflood vs. GigaSpaces vs. mSQL vs. Sphinx

System Properties Comparison Amazon Neptune vs. Blueflood vs. GigaSpaces vs. mSQL vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBlueflood  Xexclude from comparisonGigaSpaces  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudScalable TimeSeries DBMS based on CassandraHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsmSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
RDF store
Time Series DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSSearch engine
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.82
Rank#109  Overall
#9  Graph DBMS
#5  RDF stores
Score0.11
Rank#350  Overall
#33  Time Series DBMS
Score1.05
Rank#191  Overall
#31  Document stores
#6  Object oriented DBMS
Score1.41
Rank#170  Overall
#78  Relational DBMS
Score6.06
Rank#61  Overall
#6  Search engines
Websiteaws.amazon.com/­neptuneblueflood.iowww.gigaspaces.comhughestech.com.au/­products/­msqlsphinxsearch.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgithub.com/­rax-maas/­blueflood/­wikidocs.gigaspaces.com/­latest/­landing.htmlsphinxsearch.com/­docs
DeveloperAmazonRackspaceGigaspaces TechnologiesHughes TechnologiesSphinx Technologies Inc.
Initial release20172013200019942001
Current release15.5, September 20204.4, October 20213.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availablecommercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetCC++
Server operating systemshostedLinux
OS X
Linux
macOS
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freepredefined schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonono infoXML can be used for describing objects metadatano
Secondary indexesnonoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-99 for query and DML statementsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HTTP RESTGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C++
Java
Python
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoyesnono
Triggersnonoyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.selectable replication factor infobased on CassandraMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYnone
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noRole-based access controlnono

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More resources
Amazon NeptuneBluefloodGigaSpacesmSQL infoMini SQLSphinx
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