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DBMS > Amazon Redshift vs. Datomic vs. NSDb vs. RocksDB

System Properties Comparison Amazon Redshift vs. Datomic vs. NSDb vs. RocksDB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonNSDb  Xexclude from comparisonRocksDB  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 durabilityScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score3.44
Rank#88  Overall
#14  Key-value stores
Websiteaws.amazon.com/­redshiftwww.datomic.comnsdb.iorocksdb.org
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comnsdb.io/­Architecturegithub.com/­facebook/­rocksdb/­wiki
DeveloperAmazon (based on PostgreSQL)CognitectFacebook, Inc.
Initial release2012201220172013
Current release0.9.5951, July 20196.22.1, July 2021
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, ClojureJava, ScalaC++
Server operating systemshostedAll OS with a Java VMLinux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringno
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.nononono
Secondary indexesrestrictedyesall fields are automatically indexedno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIgRPC
HTTP REST
WebSocket
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
Java
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction Functionsnono
TriggersnoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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-standardnono

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More resources
Amazon RedshiftDatomicNSDbRocksDB
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