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DBMS > Amazon Redshift vs. Cloudflare Workers KV vs. Datomic vs. NSDb vs. Yaacomo

System Properties Comparison Amazon Redshift vs. Cloudflare Workers KV vs. Datomic vs. NSDb vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDatomic  Xexclude from comparisonNSDb  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionLarge scale data warehouse service for use with business intelligence toolsA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Datomic 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 KubernetesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Score0.33
Rank#290  Overall
#41  Key-value stores
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score0.07
Rank#369  Overall
#40  Time Series DBMS
Websiteaws.amazon.com/­redshiftwww.cloudflare.com/­developer-platform/­workers-kvwww.datomic.comnsdb.ioyaacomo.com
Technical documentationdocs.aws.amazon.com/­redshiftdevelopers.cloudflare.com/­kv/­apidocs.datomic.comnsdb.io/­Architecture
DeveloperAmazon (based on PostgreSQL)CloudflareCognitectQ2WEB GmbH
Initial release20122018201220172009
Current release1.0.6735, June 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, ClojureJava, Scala
Server operating systemshostedhostedAll OS with a Java VMLinux
macOS
Android
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes: 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 indexesrestrictednoyesall fields are automatically indexedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnonoSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
HTTP REST
Proprietary protocol
RESTful HTTP APIgRPC
HTTP REST
WebSocket
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Clojure
Java
Java
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes infoTransaction Functionsno
TriggersnonoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
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.yesnoyes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Amazon RedshiftCloudflare Workers KVDatomicNSDbYaacomo
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