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DBMS > Amazon Redshift vs. Coveo vs. Datomic vs. NSDb vs. SpatiaLite

System Properties Comparison Amazon Redshift vs. Coveo vs. Datomic vs. NSDb vs. SpatiaLite

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonCoveo  Xexclude from comparisonDatomic  Xexclude from comparisonNSDb  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDatomic 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 KubernetesSpatial extension of SQLite
Primary database modelRelational DBMSSearch engineRelational DBMSTime Series DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score2.28
Rank#114  Overall
#11  Search engines
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websiteaws.amazon.com/­redshiftwww.coveo.comwww.datomic.comnsdb.iowww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.aws.amazon.com/­redshiftdocs.coveo.comdocs.datomic.comnsdb.io/­Architecturewww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperAmazon (based on PostgreSQL)CoveoCognitectAlessandro Furieri
Initial release20122012201220172008
Current release1.0.6735, June 20235.0.0, August 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, ClojureJava, ScalaC++
Server operating systemshostedhostedAll OS with a Java VMLinux
macOS
server-less
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
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.nonononono
Secondary indexesrestrictedyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnonoSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIRESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
JavaScript
Python
Clojure
Java
Java
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes infoTransaction Functionsnono
TriggersnoyesBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesnone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)Using 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 developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardgranular access controls, API key management, content filtersnono

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More resources
Amazon RedshiftCoveoDatomicNSDbSpatiaLite
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