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DBMS > Apache Druid vs. FoundationDB vs. Prometheus vs. TigerGraph

System Properties Comparison Apache Druid vs. FoundationDB vs. Prometheus vs. TigerGraph

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFoundationDB  Xexclude from comparisonPrometheus  Xexclude from comparisonTigerGraph  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Open-source Time Series DBMS and monitoring systemA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
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 DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitedruid.apache.orggithub.com/­apple/­foundationdbprometheus.iowww.tigergraph.com
Technical documentationdruid.apache.org/­docs/­latest/­designapple.github.io/­foundationdbprometheus.io/­docsdocs.tigergraph.com
DeveloperApache Software Foundation and contributorsFoundationDB
Initial release2012201320152017
Current release29.0.1, April 20246.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++GoC++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Linux
Windows
Linux
Data schemeyes infoschema-less columns are supportedschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesnono
SQL infoSupport of SQLSQL for queryingsupported in specific SQL layer onlynoSQL-like query language (GSQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnoin SQL-layer onlynoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencynone
Foreign keys infoReferential integritynoin SQL-layer onlynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnonoRole-based access control

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More resources
Apache DruidFoundationDBPrometheusTigerGraph
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