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DBMS > Amazon Neptune vs. Memcached vs. OpenQM vs. Splice Machine

System Properties Comparison Amazon Neptune vs. Memcached vs. OpenQM vs. Splice Machine

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonMemcached  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudIn-memory key-value store, originally intended for cachingQpenQM is a high-performance, self-tuning, multi-value DBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
RDF store
Key-value storeMultivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteaws.amazon.com/­neptunewww.memcached.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmsplicemachine.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgithub.com/­memcached/­memcached/­wikisplicemachine.com/­how-it-works
DeveloperAmazonDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalRocket Software, originally Martin PhillipsSplice Machine
Initial release2017200319932014
Current release1.6.27, May 20243.4-123.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoGPLv2, extended commercial license availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesnoyes
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
Secondary indexesnonoyesyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesyes infoJava
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneyesShared Nothhing Auto-Sharding, Columnar Partitioning
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.none infoRepcached, a Memcached patch, provides this functionallityyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infowith encyption-at-restnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights can be defined down to the item levelAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon NeptuneMemcachedOpenQM infoalso called QMSplice Machine
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