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DBMS > Cloudflare Workers KV vs. Kdb vs. Manticore Search vs. RRDtool

System Properties Comparison Cloudflare Workers KV vs. Kdb vs. Manticore Search vs. RRDtool

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonKdb  Xexclude from comparisonManticore Search  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.High performance Time Series DBMSMulti-storage database for search, including full-text search.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelKey-value storeTime Series DBMS
Vector DBMS
Search engineTime Series DBMS
Secondary database modelsRelational DBMSTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvkx.commanticoresearch.comoss.oetiker.ch/­rrdtool
Technical documentationdevelopers.cloudflare.com/­kv/­apicode.kx.commanual.manticoresearch.comoss.oetiker.ch/­rrdtool/­doc
DeveloperCloudflareKx Systems, a division of First Derivatives plcManticore SoftwareTobias Oetiker
Initial release20182000 infokdb was released 2000, kdb+ in 200320171999
Current release3.6, May 20186.0, February 20231.8.0, 2022
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Source infoGPL version 2Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageqC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Windows
HP-UX
Linux
Data schemeschema-freeyesFixed schemayes
Typing infopredefined data types such as float or datenoyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanNumeric data only
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.noyesCan index from XMLno infoExporting into and restoring from XML files possible
Secondary indexesnoyes infotable attribute 'grouped'yes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoSQL-like query language (q)SQL-like query languageno
APIs and other access methodsHTTP REST
Proprietary protocol
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
in-process shared library
Pipes
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno
Triggersnoyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSynchronous replication based on Galera librarynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlrights management via user accountsnono
More information provided by the system vendor
Cloudflare Workers KVKdbManticore SearchRRDtool
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Cloudflare Workers KVKdbManticore SearchRRDtool
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