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DBMS > Amazon Redshift vs. Datomic vs. EXASOL

System Properties Comparison Amazon Redshift vs. Datomic vs. EXASOL

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonEXASOL  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.86
Rank#32  Overall
#18  Relational DBMS
Score1.84
Rank#125  Overall
#61  Relational DBMS
Score4.02
Rank#84  Overall
#46  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.datomic.comwww.exasol.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comwww.exasol.com/­resources
DeveloperAmazon (based on PostgreSQL)CognitectExasol
Initial release201220122000
Current release0.9.5951, July 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial
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 languageCJava, Clojure
Server operating systemshostedAll OS with a Java VM
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API.Net
JDBC
ODBC
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
Java
Lua
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction Functionsuser defined functions
TriggersnoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon RedshiftDatomicEXASOL
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