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DBMS > Amazon SimpleDB vs. Badger vs. Datastax Enterprise vs. Datomic

System Properties Comparison Amazon SimpleDB vs. Badger vs. Datastax Enterprise vs. Datomic

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBadger  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonDatomic  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 ScioreAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.DataStax 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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability
Primary database modelKey-value storeKey-value storeWide column storeRelational 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
Score1.89
Rank#128  Overall
#22  Key-value stores
Score0.14
Rank#328  Overall
#48  Key-value stores
Score4.82
Rank#65  Overall
#4  Wide column stores
Score1.55
Rank#144  Overall
#67  Relational DBMS
Websiteaws.amazon.com/­simpledbgithub.com/­dgraph-io/­badgerwww.datastax.com/­products/­datastax-enterprisewww.datomic.com
Technical documentationdocs.aws.amazon.com/­simpledbgodoc.org/­github.com/­dgraph-io/­badgerdocs.datastax.comdocs.datomic.com
DeveloperAmazonDGraph LabsDataStaxCognitect
Initial release2007201720112012
Current release6.8, April 20201.0.7180, July 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial infolimited edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJava, Clojure
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Linux
OS X
All OS with a Java VM
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyesyes
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallynoyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL); Spark SQLno
APIs and other access methodsRESTful HTTP APIProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
GoC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresnononoyes infoTransaction Functions
TriggersnonoyesBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneSharding infono "single point of failure"none infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingnone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnono infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes inforecommended only for testing and development
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users can be defined per objectno
More information provided by the system vendor
Amazon SimpleDBBadgerDatastax EnterpriseDatomic
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...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
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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More resources
Amazon SimpleDBBadgerDatastax EnterpriseDatomic
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