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DBMS > Apache Doris vs. Apache Pinot vs. DuckDB vs. Splice Machine vs. YottaDB

System Properties Comparison Apache Doris vs. Apache Pinot vs. DuckDB vs. Splice Machine vs. YottaDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Pinot  Xexclude from comparisonDuckDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonYottaDB  Xexclude from comparison
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 RDBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitedoris.apache.org
github.com/­apache/­doris
pinot.apache.orgduckdb.orgsplicemachine.comyottadb.com
Technical documentationgithub.com/­apache/­doris/­wikidocs.pinot.apache.orgduckdb.org/­docssplicemachine.com/­how-it-worksyottadb.com/­resources/­documentation
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation and contributorsSplice MachineYottaDB, LLC
Initial release20172015201820142001
Current release1.2.2, February 20231.0.0, September 20231.0.0, June 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++JavaC
Server operating systemsLinuxAll OS with a Java JDK11 or higherserver-lessLinux
OS X
Solaris
Windows
Docker
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like query languageyesyesby using the Octo plugin
APIs and other access methodsJDBC
MySQL client
JDBCArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsnoyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)
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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
Apache DorisApache PinotDuckDBSplice MachineYottaDB
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