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DBMS > Apache Druid vs. Cloudflare Workers KV vs. Faircom EDGE vs. TimescaleDB vs. Virtuoso

System Properties Comparison Apache Druid vs. Cloudflare Workers KV vs. Faircom EDGE vs. TimescaleDB vs. Virtuoso

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonTimescaleDB  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeKey-value store
Relational DBMS
Time Series DBMSDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score4.26
Rank#78  Overall
#13  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#42  Relational DBMS
#2  RDF stores
#9  Search engines
Websitedruid.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvwww.faircom.com/­products/­faircom-edgewww.timescale.comvirtuoso.openlinksw.com
Technical documentationdruid.apache.org/­docs/­latest/­designdevelopers.cloudflare.com/­kv/­apidocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.timescale.comdocs.openlinksw.com/­virtuoso
DeveloperApache Software Foundation and contributorsCloudflareFairCom CorporationTimescaleOpenLink Software
Initial release20122018197920171998
Current release29.0.1, April 2024V3, October 20202.13.0, November 20237.2.11, September 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infoRestricted, free version availableOpen Source infoApache 2.0Open Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaANSI C, C++CC
Server operating systemsLinux
OS X
Unix
hostedAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typing infopredefined data types such as float or dateyesnoyes, ANSI Standard SQL Typesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.nonoyesyesyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL for queryingnoyes infoANSI SQL queriesyes infofull PostgreSQL SQL syntaxyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP REST
Proprietary protocol
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes infoVirtuoso PL
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedFile partitioning infoCustomizable business rules for partitioningyes, across time and space (hash partitioning) attributesyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication with hot standby and reads on replicas infoChain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infowhen using SQLyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
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.nonoyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Apache DruidCloudflare Workers KVFaircom EDGE infoformerly c-treeEDGETimescaleDBVirtuoso
Specific characteristicsVirtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesPerformance & Scale โ€” as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosUsed for โ€” Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersBroad use across enterprises and governments including โ€” European Union (EU) US Government...
» more
Market metricsLargest installed-base โ€‹of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsAvailable in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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More resources
Apache DruidCloudflare Workers KVFaircom EDGE infoformerly c-treeEDGETimescaleDBVirtuoso
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