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DBMS > atoti vs. Cloudflare Workers KV vs. Drizzle vs. OceanBase

System Properties Comparison atoti vs. Cloudflare Workers KV vs. Drizzle vs. OceanBase

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDrizzle  Xexclude from comparisonOceanBase  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.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A distributed, high available RDBMS compatible with Oracle and MySQL
Primary database modelObject oriented DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.57
Rank#149  Overall
#69  Relational DBMS
Websiteatoti.iowww.cloudflare.com/­developer-platform/­workers-kven.oceanbase.com
Technical documentationdocs.atoti.iodevelopers.cloudflare.com/­kv/­apien.oceanbase.com/­docs/­oceanbase-database
DeveloperActiveViamCloudflareDrizzle project, originally started by Brian AkerOceanBase infopreviously Alibaba and Ant Group
Initial release201820082010
Current release7.2.4, September 20124.3.0, April 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoGNU GPLOpen Source infoCommercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemshostedFreeBSD
Linux
OS X
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.noyes
Secondary indexesnoyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyes infowith proprietary extensionsyes
APIs and other access methodsHTTP REST
Proprietary protocol
JDBCJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C++
Java
PHP
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Server-side scripts infoStored proceduresPythonnonoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode
Triggersnono infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles according to SQL-standard

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atotiCloudflare Workers KVDrizzleOceanBase
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