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DBMS > Amazon Redshift vs. Datomic vs. Kyligence Enterprise vs. NSDb vs. OpenEdge

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

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonNSDb  Xexclude from comparisonOpenEdge  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 KylinScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesApplication development environment with integrated database management system
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.85
Rank#31  Overall
#18  Relational DBMS
Score1.74
Rank#130  Overall
#65  Relational DBMS
Score0.30
Rank#271  Overall
#124  Relational DBMS
Score0.00
Rank#351  Overall
#36  Time Series DBMS
Score4.66
Rank#79  Overall
#43  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.datomic.comkyligence.io/­kyligence-enterprisensdb.iowww.progress.com/­openedge
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comnsdb.io/­Architecturedocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperAmazon (based on PostgreSQL)CognitectKyligence, Inc.Progress Software Corporation
Initial release20122012201620171984
Current release0.9.5951, July 2019OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, ClojureJavaJava, Scala
Server operating systemshostedAll OS with a Java VMLinuxLinux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringyes
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.nonononoyes
Secondary indexesrestrictedyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoANSI SQL for queries (using Apache Calcite)SQL-like query languageyes infoclose to SQL 92
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
Java
Scala
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction Functionsnoyes
TriggersnoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardinghorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesUsing Apache Luceneyes
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 developmentnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers and groups

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More resources
Amazon RedshiftDatomicKyligence EnterpriseNSDbOpenEdge
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