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DBMS > Amazon SimpleDB vs. AnzoGraph DB vs. HugeGraph vs. Manticore Search vs. SQL.JS

System Properties Comparison Amazon SimpleDB vs. AnzoGraph DB vs. HugeGraph vs. Manticore Search vs. SQL.JS

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonHugeGraph  Xexclude from comparisonManticore Search  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionHosted 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 virtualizationA fast-speed and highly-scalable Graph DBMSMulti-storage database for search, including full-text search.Port of SQLite to JavaScript
Primary database modelKey-value storeGraph DBMS
RDF store
Graph DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websiteaws.amazon.com/­simpledbcambridgesemantics.com/­anzographgithub.com/­hugegraph
hugegraph.apache.org
manticoresearch.comsql.js.org
Technical documentationdocs.aws.amazon.com/­simpledbdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmhugegraph.apache.org/­docsmanual.manticoresearch.comsql.js.org/­documentation/­index.html
DeveloperAmazonCambridge SemanticsBaiduManticore SoftwareAlon Zakai infoenhancements implemented by others
Initial release20072018201820172012
Current release2.3, January 20210.96.0, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache Version 2.0Open Source infoGPL version 2Open Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScript
Server operating systemshostedLinuxLinux
macOS
Unix
FreeBSD
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportyesFixed schemayes
Typing infopredefined data types such as float or datenoyesInt, 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 indexesyes infoAll columns are indexed automaticallynoyes infoalso supports composite index and range indexyes infofull-text index on all search fields
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.noSQL-like query languageyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Java API
RESTful HTTP API
TinkerPop Gremlin
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JavaScript API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
Java
Python
Groovy
Java
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScript
Server-side scripts infoStored proceduresnouser defined functions and aggregatesasynchronous Gremlin script jobsuser defined functionsno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationAutomatic shardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in MPP-Clusteryes infodepending on used storage backend, e.g. Cassandra and HBaseSynchronous replication based on Galera librarynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency in MPP-ClusterEventual Consistencynone
Foreign keys infoReferential integritynono infonot needed in graphsyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.no infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
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 rolesUsers, roles and permissionsnono

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More resources
Amazon SimpleDBAnzoGraph DBHugeGraphManticore SearchSQL.JS
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