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DBMS > Amazon Redshift vs. Badger vs. Datomic

System Properties Comparison Amazon Redshift vs. Badger vs. Datomic

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBadger  Xexclude from comparisonDatomic  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability
Primary database modelRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.37
Rank#32  Overall
#18  Relational DBMS
Score0.12
Rank#300  Overall
#43  Key-value stores
Score1.77
Rank#130  Overall
#65  Relational DBMS
Websiteaws.amazon.com/­redshiftgithub.com/­dgraph-io/­badgerwww.datomic.com
Technical documentationdocs.aws.amazon.com/­redshiftgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.com
DeveloperAmazon (based on PostgreSQL)DGraph LabsCognitect
Initial release201220172012
Current release0.9.5951, July 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infolimited edition free
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoJava, Clojure
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesrestrictednoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGoClojure
Java
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes infoTransaction Functions
TriggersnonoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesnoyes inforecommended only for testing and development
User concepts infoAccess controlfine grained access rights according to SQL-standardnono

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More resources
Amazon RedshiftBadgerDatomic
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