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DBMS > Apache Drill vs. Cloudflare Workers KV vs. CouchDB vs. Drizzle vs. H2

System Properties Comparison Apache Drill vs. Cloudflare Workers KV vs. CouchDB vs. Drizzle vs. H2

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDrizzle  Xexclude from comparisonH2  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelDocument store
Relational DBMS
Key-value storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score9.30
Rank#45  Overall
#7  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Websitedrill.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvcouchdb.apache.orgwww.h2database.com
Technical documentationdrill.apache.org/­docsdevelopers.cloudflare.com/­kv/­apidocs.couchdb.org/­en/­stablewww.h2database.com/­html/­main.html
DeveloperApache Software FoundationCloudflareApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDrizzle project, originally started by Brian AkerThomas Mueller
Initial release20122018200520082005
Current release1.20.3, January 20233.3.3, December 20237.2.4, September 20122.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache version 2Open Source infoGNU GPLOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++Java
Server operating systemsLinux
OS X
Windows
hostedAndroid
BSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
All OS with a Java VM
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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 indexesnonoyes infovia viewsyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnonoyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Proprietary protocol
RESTful HTTP/JSON APIJDBCJDBC
ODBC
Supported programming languagesC++C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C++
Java
PHP
Java
Server-side scripts infoStored proceduresuser defined functionsnoView functions in JavaScriptnoJava Stored Procedures and User-Defined Functions
Triggersnonoyesno infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a single document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenonoyes
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users can be defined per databasePluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
Apache DrillCloudflare Workers KVCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DrizzleH2
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