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DBMS > Apache Doris vs. Apache Pinot vs. DuckDB vs. FoundationDB vs. Warp 10

System Properties Comparison Apache Doris vs. Apache Pinot vs. DuckDB vs. FoundationDB vs. Warp 10

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Pinot  Xexclude from comparisonDuckDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonWarp 10  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn embeddable, in-process, column-oriented SQL OLAP RDBMSOrdered key-value store. Core features are complimented by layers.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#235  Overall
#110  Relational DBMS
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
pinot.apache.orgduckdb.orggithub.com/­apple/­foundationdbwww.warp10.io
Technical documentationgithub.com/­apache/­doris/­wikidocs.pinot.apache.orgduckdb.org/­docsapple.github.io/­foundationdbwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation and contributorsFoundationDBSenX
Initial release20172015201820132015
Current release1.2.2, February 20231.0.0, September 20231.0.0, June 20246.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C++Java
Server operating systemsLinuxAll OS with a Java JDK11 or higherserver-lessLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or dateyesyesyesno 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.nonono
Secondary indexesyesyesnono
SQL infoSupport of SQLyesSQL-like query languageyessupported in specific SQL layer onlyno
APIs and other access methodsJDBC
MySQL client
JDBCArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesJavaGo
Java
Python
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresuser defined functionsnoin SQL-layer onlyyes infoWarpScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningnoneShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyLinearizable consistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache DorisApache PinotDuckDBFoundationDBWarp 10
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