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DBMS > Amazon Neptune vs. Amazon SimpleDB vs. Elasticsearch vs. Manticore Search

System Properties Comparison Amazon Neptune vs. Amazon SimpleDB vs. Elasticsearch vs. Manticore Search

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricMulti-storage database for search, including full-text search.
Primary database modelGraph DBMS
RDF store
Key-value storeSearch engineSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.89
Rank#128  Overall
#22  Key-value stores
Score128.79
Rank#8  Overall
#1  Search engines
Score0.23
Rank#301  Overall
#21  Search engines
Websiteaws.amazon.com/­neptuneaws.amazon.com/­simpledbwww.elastic.co/­elasticsearchmanticoresearch.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.aws.amazon.com/­simpledbwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlmanual.manticoresearch.com
DeveloperAmazonAmazonElasticManticore Software
Initial release2017200720102017
Current release8.6, January 20236.0, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoElastic LicenseOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedhostedAll OS with a Java VMFreeBSD
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentFixed schema
Typing infopredefined data types such as float or dateyesnoyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.nonoCan index from XML
Secondary indexesnoyes infoAll columns are indexed automaticallyyes infoAll search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonoyesuser defined functions
Triggersnonoyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationShardingSharding 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.yesyesSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationnoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integration
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no

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More resources
Amazon NeptuneAmazon SimpleDBElasticsearchManticore Search
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