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DBMS > Datastax Enterprise vs. JSqlDb vs. KeyDB vs. Rockset

System Properties Comparison Datastax Enterprise vs. JSqlDb vs. KeyDB vs. Rockset

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonJSqlDb  Xexclude from comparisonKeyDB  Xexclude from comparisonRockset  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.JavaScript Query Language Database, stores JavaScript objects and primitivesAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelWide column storeDocument store
Object oriented DBMS
Key-value storeDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.31
Rank#57  Overall
#4  Wide column stores
Score0.80
Rank#219  Overall
#31  Key-value stores
Score0.84
Rank#209  Overall
#35  Document stores
Websitewww.datastax.com/­products/­datastax-enterprisejsqldb.org (offline)github.com/­Snapchat/­KeyDB
keydb.dev
rockset.com
Technical documentationdocs.datastax.comdocs.keydb.devdocs.rockset.com
DeveloperDataStaxKonrad von BackstromEQ Alpha Technology Ltd.Rockset
Initial release2011201820192019
Current release6.8, April 20200.8, December 2018
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Linux
macOS
Windows
Linuxhosted
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesnoyes infoby using the Redis Search moduleall fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnonoRead-only SQL queries, including JOINs
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP REST
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnofunctions in JavaScriptLuano
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users can be defined per objectsimple password-based access control and ACLAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Datastax EnterpriseJSqlDbKeyDBRockset
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Datastax EnterpriseJSqlDbKeyDBRockset
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