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DBMS > Apache Druid vs. FoundationDB vs. QuestDB

System Properties Comparison Apache Druid vs. FoundationDB vs. QuestDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFoundationDB  Xexclude from comparisonQuestDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataOrdered key-value store. Core features are complimented by layers.A high performance open source SQL database for time series data
Primary database modelRelational DBMS
Time Series DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.33
Rank#104  Overall
#53  Relational DBMS
#7  Time Series DBMS
Score1.80
Rank#161  Overall
#27  Document stores
#28  Key-value stores
#75  Relational DBMS
Score2.31
Rank#137  Overall
#10  Time Series DBMS
Websitedruid.apache.orggithub.com/­apple/­foundationdbquestdb.io
Technical documentationdruid.apache.org/­docs/­latest/­designapple.github.io/­foundationdbquestdb.io/­docs
DeveloperApache Software Foundation and contributorsFoundationDBQuestDB Technology Inc
Initial release201220132014
Current release28.0.0, November 20236.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java (Zero-GC), C++, Rust
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedschema-free infosome layers support schemasyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes
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.nono
Secondary indexesyesnono
SQL infoSupport of SQLSQL for queryingsupported in specific SQL layer onlySQL with time-series extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoin SQL-layer onlyno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes infothrough memory mapped files
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno
More information provided by the system vendor
Apache DruidFoundationDBQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
News

QuestDB Release Week #4
24 November 2023

Building a faster hash table for high performance SQL joins
23 November 2023

Is all data time series data?
21 November 2023

Solving duplicate data with performant deduplication
16 November 2023

QuestDB + Hacktoberfest 2023: 10 Years of Hacking
3 October 2023

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache DruidFoundationDBQuestDB
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