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DBMS > Amazon DynamoDB vs. Amazon Redshift vs. Infobright vs. Warp 10

System Properties Comparison Amazon DynamoDB vs. Amazon Redshift vs. Infobright vs. Warp 10

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonInfobright  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudLarge scale data warehouse service for use with business intelligence toolsHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score70.06
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score15.25
Rank#38  Overall
#23  Relational DBMS
Score0.88
Rank#198  Overall
#92  Relational DBMS
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websiteaws.amazon.com/­dynamodbaws.amazon.com/­redshiftignitetech.com/­softwarelibrary/­infobrightdbwww.warp10.io
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.aws.amazon.com/­redshiftwww.warp10.io/­content/­02_Getting_started
DeveloperAmazonAmazon (based on PostgreSQL)Ignite Technologies Inc.; formerly InfoBright Inc.SenX
Initial release2012201220052015
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCJava
Server operating systemshostedhostedLinux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesrestrictedno infoKnowledge Grid Technology used insteadno
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functions infoin Pythonnoyes infoWarpScript
Triggersyes infoby integration with AWS Lambdanonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDACIDno
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.yesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Amazon DynamoDBAmazon RedshiftInfobrightWarp 10
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