DB-EnginesExtremeDB white paper: shared data in asymmetric multiprocessing (AMP) configurationsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Pinot vs. Cassandra vs. FatDB

System Properties Comparison Apache Pinot vs. Cassandra vs. FatDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonCassandra  Xexclude from comparisonFatDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessA .NET NoSQL DBMS that can integrate with and extend SQL Server.
Primary database modelRelational DBMSWide column storeDocument store
Key-value store
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#231  Overall
#106  Relational DBMS
Score109.27
Rank#12  Overall
#1  Wide column stores
Websitepinot.apache.orgcassandra.apache.org
Technical documentationdocs.pinot.apache.orgcassandra.apache.org/­doc/­latest
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top level project, originally developped by FacebookFatCloud
Initial release201520082012
Current release1.0.0, September 20234.1.3, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaJavaC#
Server operating systemsAll OS with a Java JDK11 or higherBSD
Linux
OS X
Windows
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyes
SQL infoSupport of SQLSQL-like query languageSQL-like SELECT, DML and DDL statements (CQL)no infoVia inetgration in SQL Server
APIs and other access methodsJDBCProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Supported programming languagesGo
Java
Python
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C#
Server-side scripts infoStored proceduresnoyes infovia applications
Triggersyesyes infovia applications
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes
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.no
User concepts infoAccess controlAccess rights for users can be defined per objectno infoCan implement custom security layer via applications
More information provided by the system vendor
Apache PinotCassandraFatDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
News

RAGStack, the Ready-Made RAG Solution, Is Now Integrated with LlamaIndex
20 February 2024

Astra DB’s Third “Serverless-versary”
6 February 2024

How to Build an Image Search App with Astra DB and CLIP Models
5 February 2024

How Hornet Uses Metadata Indexing to Help Users Find the Perfect Match
2 February 2024

Demystifying LLM-based Architectures: A New Guide from LangChain and DataStax
31 January 2024

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
3rd partiesCassandra Forward event: Want to level up your Cassandra game? Watch now replays of the March 2023 sessions.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
Apache PinotCassandraFatDB
DB-Engines blog posts

Cassandra keeps climbing the ranks of the DB-Engines Ranking
3 May 2016, Matthias Gelbmann

Oracle is the DBMS of the Year
5 January 2016, Paul Andlinger, Matthias Gelbmann

Winners, losers and an attractive newcomer in Novembers DB-Engines ranking
2 November 2015, Paul Andlinger

show all

Recent citations in the news

Apache Pinot 1.0 Provides a Realtime Distributed OLAP Datastore
11 December 2023, InfoQ.com

Real-Time Analytics for Mobile App Crashes using Apache Pinot
2 November 2023, Uber

5. The Serving Layer: Apache Pinot - Building Real-Time Analytics Systems [Book]
2 October 2023, O'Reilly Media

StarTree Announces Integration between Apache Pinot and Delta Lake with StarTree Cloud
20 June 2023, Datanami

Speed of Apache Pinot at the Cost of Cloud Object Storage with Tiered Storage
16 August 2023, InfoQ.com

provided by Google News

What Is Cassandra? Working, Features, and Uses
17 August 2023, Spiceworks News and Insights

Apache Cassandra: The Database that Helps Uber and Apple De-risk Their AI Projects
7 August 2023, hackernoon.com

Cassandra is the “best f*cking database for gen AI,” says DataStax CEO
13 December 2023, VentureBeat

Microsoft extends life support for aging Apache Cassandra 3.11 database
10 October 2023, The Register

Vector Search Is Coming to Apache Cassandra
12 May 2023, The New Stack

provided by Google News



Share this page

Featured Products

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

Milvus logo

The open source vector database for GenAI.
Try Managed Milvus 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

Present your product here