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DBMS > Apache Pinot vs. MonetDB vs. Oracle Berkeley DB vs. Qdrant

System Properties Comparison Apache Pinot vs. MonetDB vs. Oracle Berkeley DB vs. Qdrant

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonMonetDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA relational database management system that stores data in columnsWidely used in-process key-value storeA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Vector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Websitepinot.apache.orgwww.monetdb.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.pinot.apache.orgwww.monetdb.org/­Documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlqdrant.tech/­documentation
DeveloperApache Software Foundation and contributorsMonetDB BVOracle infooriginally developed by Sleepycat, which was acquired by OracleQdrant
Initial release2015200419942021
Current release1.0.0, September 2023Dec2023 (11.49), December 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMozilla Public License 2.0Open Source infocommercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC, Java, C++ (depending on the Berkeley DB edition)Rust
Server operating systemsAll OS with a Java JDK11 or higherFreeBSD
Linux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Docker
Linux
macOS
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoNumbers, Strings, Geo, Boolean
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.yes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like query languageyes infoSQL 2003 with some extensionsyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJDBCJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesGo
Java
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes, in SQL, C, Rno
Triggersyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding via remote tablesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoKey-based authentication

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Apache PinotMonetDBOracle Berkeley DBQdrant
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