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DBMS > Amazon Redshift vs. atoti vs. Datomic

System Properties Comparison Amazon Redshift vs. atoti vs. Datomic

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonatoti  Xexclude from comparisonDatomic  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability
Primary database modelRelational DBMSObject oriented DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.86
Rank#32  Overall
#18  Relational DBMS
Score0.38
Rank#257  Overall
#15  Object oriented DBMS
Score1.84
Rank#125  Overall
#61  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.atoti.iowww.datomic.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.com
DeveloperAmazon (based on PostgreSQL)ActiveViamCognitect
Initial release20122012
Current release0.9.5951, July 2019
License infoCommercial or Open Sourcecommercialcommercial infofree versions availablecommercial infolimited edition free
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJava, Clojure
Server operating systemshostedAll OS with a Java VM
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesrestrictedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardMultidimensional Expressions (MDX)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
Server-side scripts infoStored proceduresuser defined functions infoin PythonPythonyes infoTransaction Functions
TriggersnoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnone 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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes 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.yesyesyes inforecommended only for testing and development
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
Amazon RedshiftatotiDatomic
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