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DBMS > Amazon Neptune vs. Amazon SimpleDB vs. AnzoGraph DB vs. Manticore Search vs. openGauss

System Properties Comparison Amazon Neptune vs. Amazon SimpleDB vs. AnzoGraph DB vs. Manticore Search vs. openGauss

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonManticore Search  Xexclude from comparisonopenGauss  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 ScioreScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationMulti-storage database for search, including full-text search.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelGraph DBMS
RDF store
Key-value storeGraph DBMS
RDF store
Search engineRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial 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
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.22
Rank#312  Overall
#21  Search engines
Score1.08
Rank#183  Overall
#84  Relational DBMS
Websiteaws.amazon.com/­neptuneaws.amazon.com/­simpledbcambridgesemantics.com/­anzographmanticoresearch.comgitee.com/­opengauss
opengauss.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.aws.amazon.com/­simpledbdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmmanual.manticoresearch.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperAmazonAmazonCambridge SemanticsManticore SoftwareHuawei and openGauss community
Initial release20172007201820172019
Current release2.3, January 20216.0, February 20233.0, March 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree trial version availableOpen Source infoGPL version 2Open Source
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++, Java
Server operating systemshostedhostedLinuxFreeBSD
Linux
macOS
Windows
Linux
Data schemeschema-freeschema-freeSchema-free and OWL/RDFS-schema supportFixed schemayes
Typing infopredefined data types such as float or dateyesnoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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 XMLno
Secondary indexesnoyes infoAll columns are indexed automaticallynoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query languageANSI SQL 2011
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
Java
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Java
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesuser defined functionsyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning (by range, list and hash)
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.yesMulti-source replication in MPP-ClusterSynchronous replication based on Galera librarySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency in MPP-ClusterImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnono infonot needed in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
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)Access rights for users and rolesnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon NeptuneAmazon SimpleDBAnzoGraph DBManticore SearchopenGauss
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