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DBMS > Amazon Redshift vs. Datomic vs. Dragonfly vs. EventStoreDB

System Properties Comparison Amazon Redshift vs. Datomic vs. Dragonfly vs. EventStoreDB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonDragonfly  Xexclude from comparisonEventStoreDB  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 drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceIndustrial-strength, open-source database solution built from the ground up for event sourcing.
Primary database modelRelational DBMSRelational DBMSKey-value storeEvent Store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.19
Rank#173  Overall
#1  Event Stores
Websiteaws.amazon.com/­redshiftwww.datomic.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.eventstore.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comwww.dragonflydb.io/­docsdevelopers.eventstore.com
DeveloperAmazon (based on PostgreSQL)CognitectDragonflyDB team and community contributorsEvent Store Limited
Initial release2012201220232012
Current release1.0.7075, December 20231.0, March 202321.2, February 2021
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoBSL 1.1Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, ClojureC++
Server operating systemshostedAll OS with a Java VMLinuxLinux
Windows
Data schemeyesyesscheme-free
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arrays
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.nonono
Secondary indexesrestrictedyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIProprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction FunctionsLua
TriggersnoBy using transaction functionspublish/subscribe channels provide some trigger functionality
Partitioning methods infoMethods for storing different data on different nodesShardingnone 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 peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of command blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the server
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
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-standardnoPassword-based authentication

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More resources
Amazon RedshiftDatomicDragonflyEventStoreDB
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