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DBMS > Amazon SimpleDB vs. Datastax Enterprise vs. FatDB vs. TigerGraph

System Properties Comparison Amazon SimpleDB vs. Datastax Enterprise vs. FatDB vs. TigerGraph

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonFatDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A .NET NoSQL DBMS that can integrate with and extend SQL Server.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value storeWide column storeDocument store
Key-value store
Graph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score5.80
Rank#60  Overall
#4  Wide column stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteaws.amazon.com/­simpledbwww.datastax.com/­products/­datastax-enterprisewww.tigergraph.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.datastax.comdocs.tigergraph.com
DeveloperAmazonDataStaxFatCloud
Initial release2007201120122017
Current release6.8, April 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaC#C++
Server operating systemshostedLinux
OS X
WindowsLinux
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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 automaticallyyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLno infoVia inetgration in SQL ServerSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP APIProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#C++
Java
Server-side scripts infoStored proceduresnonoyes infovia applicationsyes
Triggersnoyesyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter aware, advanced replication for edge computingselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationno infoAtomicity and isolation are supported for single operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 can be defined per objectno infoCan implement custom security layer via applicationsRole-based access control
More information provided by the system vendor
Amazon SimpleDBDatastax EnterpriseFatDBTigerGraph
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Amazon SimpleDBDatastax EnterpriseFatDBTigerGraph
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