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DBMS > Amazon SimpleDB vs. Google Cloud Bigtable vs. Memgraph vs. Oracle Rdb vs. Spark SQL

System Properties Comparison Amazon SimpleDB vs. Google Cloud Bigtable vs. Memgraph vs. Oracle Rdb vs. Spark SQL

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMemgraph  Xexclude from comparisonOracle Rdb  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 ScioreGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An open source graph database built for real-time streaming and compatible with Neo4jSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeKey-value store
Wide column store
Graph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#139  Overall
#24  Key-value stores
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score3.00
Rank#102  Overall
#8  Graph DBMS
Score1.08
Rank#187  Overall
#85  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­simpledbcloud.google.com/­bigtablememgraph.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlspark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­simpledbcloud.google.com/­bigtable/­docsmemgraph.com/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperAmazonGoogleMemgraph LtdOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software Foundation
Initial release20072015201719842014
Current release7.4.1.1, 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree license availablecommercialOpen Source infoApache 2.0
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 and C++Scala
Server operating systemshostedhostedLinuxHP Open VMSLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-free and schema-optionalFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or datenonoyesyesyes
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.nononono
Secondary indexesyes infoAll columns are indexed automaticallynoyesno
SQL infoSupport of SQLnononoyesSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Bolt protocol
Cypher query language
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding infodynamic graph partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication using RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationAtomic single-row operationsACID infowith snapshot isolationyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissionsno
More information provided by the system vendor
Amazon SimpleDBGoogle Cloud BigtableMemgraphOracle RdbSpark SQL
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Amazon SimpleDBGoogle Cloud BigtableMemgraphOracle RdbSpark SQL
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