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DBMS > Apache Pinot vs. Cubrid vs. DuckDB vs. Milvus

System Properties Comparison Apache Pinot vs. Cubrid vs. DuckDB vs. Milvus

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonCubrid  Xexclude from comparisonDuckDB  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPAn embeddable, in-process, column-oriented SQL OLAP RDBMSA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSRelational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Websitepinot.apache.orgcubrid.com (korean)
cubrid.org (english)
duckdb.orgmilvus.io
Technical documentationdocs.pinot.apache.orgcubrid.org/­manualsduckdb.org/­docsmilvus.io/­docs/­overview.md
DeveloperApache Software Foundation and contributorsCUBRID Corporation, CUBRID Foundation
Initial release2015200820182019
Current release1.0.0, September 202311.0, January 20211.0.0, June 20242.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC, C++, JavaC++C++, Go
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
server-lessLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and String
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 indexesyesyesno
SQL infoSupport of SQLSQL-like query languageyesyesno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
OLE DB
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
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++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnono
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)yes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole based access control and fine grained access rights
More information provided by the system vendor
Apache PinotCubridDuckDBMilvus
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Apache PinotCubridDuckDBMilvus
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