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DBMS > Cloudflare Workers KV vs. DolphinDB vs. ScyllaDB vs. XTDB

System Properties Comparison Cloudflare Workers KV vs. DolphinDB vs. ScyllaDB vs. XTDB

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDolphinDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Cassandra and DynamoDB compatible wide column storeA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value storeTime Series DBMSWide column storeDocument store
Secondary database modelsRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.dolphindb.comwww.scylladb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.dolphindb.cn/­en/­help200/­index.htmldocs.scylladb.comwww.xtdb.com/­docs
DeveloperCloudflareDolphinDB, IncScyllaDBJuxt Ltd.
Initial release2018201820152019
Current releasev2.00.4, January 2022ScyllaDB Open Source 5.4.1, January 20241.19, September 2021
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Clojure
Server operating systemshostedLinux
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyes, extensible-data-notation format
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 indexesnoyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statements (CQL)limited SQL, making use of Apache Calcite
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
HTTP REST
JDBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Clojure
Java
Server-side scripts infoStored proceduresnoyesyes, Luano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoin-memory tables
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users can be defined per object
More information provided by the system vendor
Cloudflare Workers KVDolphinDBScyllaDBXTDB infoformerly named Crux
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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Cloudflare Workers KVDolphinDBScyllaDBXTDB infoformerly named Crux
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