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DBMS > Cachelot.io vs. Drizzle vs. PouchDB vs. RDFox vs. TimescaleDB

System Properties Comparison Cachelot.io vs. Drizzle vs. PouchDB vs. RDFox vs. TimescaleDB

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonDrizzle  Xexclude from comparisonPouchDB  Xexclude from comparisonRDFox  Xexclude from comparisonTimescaleDB  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.
DescriptionIn-memory caching systemMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.JavaScript DBMS with an API inspired by CouchDBHigh performance knowledge graph and semantic reasoning engineA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeRelational DBMSDocument storeGraph DBMS
RDF store
Time Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitecachelot.iopouchdb.comwww.oxfordsemantic.techwww.timescale.com
Technical documentationpouchdb.com/­guidesdocs.oxfordsemantic.techdocs.timescale.com
DeveloperDrizzle project, originally started by Brian AkerApache Software FoundationOxford Semantic TechnologiesTimescale
Initial release20152008201220172017
Current release7.2.4, September 20127.1.1, June 20196.0, Septermber 20222.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoGNU GPLOpen SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaScriptC++C
Server operating systemsFreeBSD
Linux
OS X
FreeBSD
Linux
OS X
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or datenoyesnoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyes
Secondary indexesnoyesyes infovia viewsyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsMemcached protocolJDBCHTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
SPARQL 1.1
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C++
Java
PHP
JavaScriptC
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoView functions in JavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnono infohooks for callbacks inside the server can be used.yesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infowith a proxy-based framework, named couchdb-loungeyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
replication via a shared file systemSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPnoRoles, resources, and access typesfine grained access rights according to SQL-standard

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More resources
Cachelot.ioDrizzlePouchDBRDFoxTimescaleDB
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