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DBMS > Amazon SimpleDB vs. HugeGraph vs. Spark SQL

System Properties Comparison Amazon SimpleDB vs. HugeGraph vs. Spark SQL

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonSpark SQL  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 ScioreA fast-speed and highly-scalable Graph DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­simpledbgithub.com/­hugegraph
hugegraph.apache.org
spark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­simpledbhugegraph.apache.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonBaiduApache Software Foundation
Initial release200720182014
Current release0.93.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemshostedLinux
macOS
Unix
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.nono
Secondary indexesyes infoAll columns are indexed automaticallyyes infoalso supports composite index and range indexno
SQL infoSupport of SQLnonoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationyes infodepending on used storage backend, e.g. Cassandra and HBaseyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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)Users, roles and permissionsno

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More resources
Amazon SimpleDBHugeGraphSpark SQL
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