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DBMS > 4D vs. Amazon Redshift vs. Datomic vs. NSDb

System Properties Comparison 4D vs. Amazon Redshift vs. Datomic vs. NSDb

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemLarge 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 durabilityScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.52
Rank#106  Overall
#53  Relational DBMS
Score23.53
Rank#32  Overall
#18  Relational DBMS
Score1.93
Rank#120  Overall
#59  Relational DBMS
Score0.00
Rank#352  Overall
#33  Time Series DBMS
Websitewww.4d.comaws.amazon.com/­redshiftwww.datomic.comnsdb.io
Technical documentationlivedoc.4d.comdocs.aws.amazon.com/­redshiftdocs.datomic.comnsdb.io/­Architecture
Developer4D, IncAmazon (based on PostgreSQL)Cognitect
Initial release1984201220122017
Current releasev18 R5, January 20210.9.5951, July 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, ClojureJava, Scala
Server operating systemsOS X
Windows
hostedAll OS with a Java VMLinux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, string
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.yesnonono
Secondary indexesyesrestrictedyesall fields are automatically indexed
SQL infoSupport of SQLyes infoclose to SQL 92yes infodoes not fully support an SQL-standardnoSQL-like query language
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
RESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languages4D proprietary IDE
PHP
All languages supporting JDBC/ODBCClojure
Java
Java
Scala
Server-side scripts infoStored proceduresyesuser defined functions infoin Pythonyes infoTransaction Functionsno
TriggersyesnoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)Using Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes inforecommended only for testing and development
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardno

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More resources
4D infoformer name: 4th DimensionAmazon RedshiftDatomicNSDb
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