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DBMS > Cloudflare Workers KV vs. DolphinDB vs. H2 vs. Kinetica vs. Sqrrl

System Properties Comparison Cloudflare Workers KV vs. DolphinDB vs. H2 vs. Kinetica vs. Sqrrl

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDolphinDB  Xexclude from comparisonH2  Xexclude from comparisonKinetica  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Fully vectorized database across both GPUs and CPUsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsRelational DBMSSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.dolphindb.comwww.h2database.comwww.kinetica.comsqrrl.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.dolphindb.cn/­en/­help200/­index.htmlwww.h2database.com/­html/­main.htmldocs.kinetica.com
DeveloperCloudflareDolphinDB, IncThomas MuellerKineticaAmazon infooriginally Sqrrl Data, Inc.
Initial release20182018200520122012
Current releasev2.00.4, January 20222.2.220, July 20237.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC, C++Java
Server operating systemshostedLinux
Windows
All OS with a Java VMLinuxLinux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesSQL-like DML and DDL statementsno
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
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
JavaC++
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined Functionsuser defined functionsno
Triggersnonoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardAccess rights for users and roles on table levelCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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Cloudflare Workers KVDolphinDBH2KineticaSqrrl
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