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

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

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDolphinDB  Xexclude from comparisonH2  Xexclude from comparisonSqrrl  Xexclude from comparisonYottaDB  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.Adaptable, secure NoSQL built on Apache AccumuloA fast and solid embedded Key-value store
Primary database modelKey-value storeTime Series DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store
Secondary database modelsRelational DBMSSpatial DBMSRelational DBMS infousing the Octo plugin
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
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.dolphindb.comwww.h2database.comsqrrl.comyottadb.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.dolphindb.cn/­en/­help200/­index.htmlwww.h2database.com/­html/­main.htmlyottadb.com/­resources/­documentation
DeveloperCloudflareDolphinDB, IncThomas MuellerAmazon infooriginally Sqrrl Data, Inc.YottaDB, LLC
Initial release20182018200520122001
Current releasev2.00.4, January 20222.2.220, July 2023
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoAGPL 3.0
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++JavaJavaC
Server operating systemshostedLinux
Windows
All OS with a Java VMLinuxDocker
Linux
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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 indexesnoyesyesyesno
SQL infoSupport of SQLnoSQL-like query languageyesnoby using the Octo plugin
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
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
JavaActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined Functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding 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 databaseselectable replication factor infomaking use of Hadoopyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDAtomic updates per row, document, or graph entityoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Users and groups based on OS-security mechanisms

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More resources
Cloudflare Workers KVDolphinDBH2SqrrlYottaDB
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