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DBMS > Druid vs. FatDB vs. TimescaleDB

System Properties Comparison Druid vs. FatDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonFatDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataA .NET NoSQL DBMS that can integrate with and extend SQL Server.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.05
Rank#120  Overall
#58  Relational DBMS
#8  Time Series DBMS
Score2.32
Rank#110  Overall
#6  Time Series DBMS
Websitedruid.apache.orgwww.timescale.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.timescale.com
DeveloperMetamarkets Group and contributorsFatCloudTimescale
Initial release201220122017
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#C
Server operating systemsLinux
OS X
Unix
WindowsLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesyesnumerics, 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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL support via Apache Calcite adapterno infoVia inetgration in SQL Serveryes infofull PostgreSQL SQL syntax
APIs and other access methodsJSON over HTTP.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infovia applicationsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infovia applicationsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factorMaster-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.nono
User concepts infoAccess controlno infoavailable via extensionsno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standard
More information provided by the system vendor
DruidFatDBTimescaleDB
Specific characteristicsTimescale is the creator of TimescaleDB , the first open-source time-series database...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosIoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersComcast, Cray, Cree, DNSFilter, LAIKA, Nutanix, Sakura Internet, Schneider Electric,...
» more
Market metricsWith over 8.5K GitHub stars and growing, 1.8 million+ downloads, and an active Slack...
» more
Licensing and pricing modelsTimescaleDB comes in 3 versions, including a fully managed Cloud-hosted solution,...
» more

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More resources
DruidFatDBTimescaleDB
Recent citations in the news

Introducing Apache Druid
17 January 2020, insideBIGDATA

Druid Developer Expands Query Options
17 April 2020, Datanami

Druid Developer Ramps Cloud-Native Approach
10 December 2019, Datanami

Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance
21 January 2020, insideBIGDATA

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

provided by Google News

TimescaleDB Delivers Another Option for Time-Series Analytics
17 October 2019, Datanami

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

Timescale announces $15M investment and new enterprise version of TimescaleDB
29 January 2019, TechCrunch

TimescaleDB Readies its 1.0 Launch for Primetime
13 September 2018, RTInsights

The First Complete Life-Cycle Database Management Solution for TimescaleDB
16 April 2019, PRNewswire

provided by Google News

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