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DBMS > Apache Doris vs. Apache Pinot vs. Databricks vs. DuckDB vs. QuestDB

System Properties Comparison Apache Doris vs. Apache Pinot vs. Databricks vs. DuckDB vs. QuestDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Pinot  Xexclude from comparisonDatabricks  Xexclude from comparisonDuckDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.An embeddable, in-process, column-oriented SQL OLAP RDBMSA high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational 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
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
pinot.apache.orgwww.databricks.comduckdb.orgquestdb.io
Technical documentationgithub.com/­apache/­doris/­wikidocs.pinot.apache.orgdocs.databricks.comduckdb.org/­docsquestdb.io/­docs
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation and contributorsDatabricksQuestDB Technology Inc
Initial release20172015201320182014
Current release1.2.2, February 20231.0.0, September 20231.0.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoMIT LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java (Zero-GC), C++, Rust
Server operating systemsLinuxAll OS with a Java JDK11 or higherhostedserver-lessLinux
macOS
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like query languagewith Databricks SQLyesSQL with time-series extensions
APIs and other access methodsJDBC
MySQL client
JDBCJDBC
ODBC
RESTful HTTP API
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesJavaGo
Java
Python
Python
R
Scala
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 infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregatesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningnonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnoneSource-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 ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.nonoyesyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
Apache DorisApache PinotDatabricksDuckDBQuestDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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