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DBMS > Amazon Neptune vs. Manticore Search vs. Memcached vs. Splice Machine

System Properties Comparison Amazon Neptune vs. Manticore Search vs. Memcached vs. Splice Machine

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonManticore Search  Xexclude from comparisonMemcached  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudMulti-storage database for search, including full-text search.In-memory key-value store, originally intended for cachingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
RDF store
Search engineKey-value storeRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.29
Rank#302  Overall
#21  Search engines
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteaws.amazon.com/­neptunemanticoresearch.comwww.memcached.orgsplicemachine.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesmanual.manticoresearch.comgithub.com/­memcached/­memcached/­wikisplicemachine.com/­how-it-works
DeveloperAmazonManticore SoftwareDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSplice Machine
Initial release2017201720032014
Current release6.0, February 20231.6.27, May 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Source infoBSD licenseOpen 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 languageC++CJava
Server operating systemshostedFreeBSD
Linux
macOS
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleannoyes
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.noCan index from XML
Secondary indexesnoyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLnoSQL-like query languagenoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsnoyes infoJava
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednoneShared 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.Synchronous replication based on Galera librarynone infoRepcached, a Memcached patch, provides this functionallityMulti-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 Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infoThe original contents of fields are not stored in the Manticore index.noyes
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)noyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users, groups and roles according to SQL-standard

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Amazon NeptuneManticore SearchMemcachedSplice Machine
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