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DBMS > Amazon Redshift vs. Datomic vs. Kyligence Enterprise

System Properties Comparison Amazon Redshift vs. Datomic vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonKyligence Enterprise  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 durabilityA distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.19
Rank#31  Overall
#18  Relational DBMS
Score1.73
Rank#135  Overall
#67  Relational DBMS
Score0.22
Rank#287  Overall
#135  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.datomic.comkyligence.io/­kyligence-enterprise
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.com
DeveloperAmazon (based on PostgreSQL)CognitectKyligence, Inc.
Initial release201220122016
Current release1.0.6362, January 2022
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

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Implementation languageCJava, ClojureJava
Server operating systemshostedAll OS with a Java VMLinux
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-standardnoANSI SQL for queries (using Apache Calcite)
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction Functions
TriggersnoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peers
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
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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 developmentno
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
Amazon RedshiftDatomicKyligence Enterprise
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