DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Pinot vs. atoti vs. Percona Server for MongoDB vs. Qdrant

System Properties Comparison Apache Pinot vs. atoti vs. Percona Server for MongoDB vs. Qdrant

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonatoti  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.A high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSObject oriented DBMSDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score0.50
Rank#250  Overall
#39  Document stores
Score1.53
Rank#145  Overall
#7  Vector DBMS
Websitepinot.apache.orgatoti.iowww.percona.com/­mongodb/­software/­percona-server-for-mongodbgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.pinot.apache.orgdocs.atoti.iodocs.percona.com/­percona-distribution-for-mongodbqdrant.tech/­documentation
DeveloperApache Software Foundation and contributorsActiveViamPerconaQdrant
Initial release201520152021
Current release1.0.0, September 20233.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availableOpen Source infoGPL Version 2Open 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.
Implementation languageJavaJavaC++Rust
Server operating systemsAll OS with a Java JDK11 or higherLinuxDocker
Linux
macOS
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, 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.nono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like query languageMultidimensional Expressions (MDX)nono
APIs and other access methodsJDBCproprietary protocol using JSONgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesGo
Java
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresPythonJavaScript
Triggersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency, tunable consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engineyes
User concepts infoAccess controlAccess rights for users and rolesKey-based authentication

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache PinotatotiPercona Server for MongoDBQdrant
Recent citations in the news

Build a real-time analytics solution with Apache Pinot on AWS
6 August 2024, AWS Blog

Pinot for Low-Latency Offline Table Analytics
29 August 2024, Uber

StarTree broadly enhances Apache Pinot-based analytics platform
8 May 2024, SiliconANGLE News

Open source Apache Pinot advances as StarTree boosts real-time analytics and observability
8 May 2024, VentureBeat

StarTree Makes Observability Case for Apache Pinot Database
8 May 2024, DevOps.com

provided by Google News

ActiveViam Announces Leadership Succession
4 September 2024, businesswire.com

FRTB product of the year: ActiveViam
28 November 2023, Risk.net

provided by Google News

Percona Delivers Open Source In-Memory Storage Engine for Percona Server for MongoDB
20 August 2016, insideBIGDATA

Is database-as-a-service in Percona’s future?
23 May 2022, VentureBeat

FerretDB goes GA: Gives you MongoDB, without the MongoDB...
15 May 2023, The Stack

The essential guide to MongoDB security
2 February 2017, InfoWorld

How to deploy the Percona database performance monitor with Docker
20 September 2022, TechRepublic

provided by Google News

Qdrant review: A highly flexible option for vector search
29 July 2024, InfoWorld

Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

Vector database company Qdrant wants RAG to be more cost-effective
2 July 2024, VentureBeat

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
16 April 2024, Business Wire

Qdrant unveils hybrid vector algorithm for improved RAG
2 July 2024, Blocks & Files

provided by Google News



Share this page

Featured Products

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here