DBMS > Apache HBase vs. Apache Pinot vs. DataFS

System Properties Comparison Apache HBase vs. Apache Pinot vs. DataFS

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Editorial information provided by DB-Engines

Name

Description

Wide-column store based on Apache Hadoop and on concepts of BigTable

Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency

All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.

Primary database model

Wide column store

Relational DBMS

Object oriented DBMS

Secondary database models

Graph DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	22.62
Rank	#27	Overall
	#3	Wide column stores

Score	0.50
Rank	#248	Overall
	#117	Relational DBMS

Score	0.00
Rank	#385	Overall
	#21	Object oriented DBMS

Website

hbase.apache.org

pinot.apache.org

newdatabase.com

Technical documentation

hbase.apache.org/book.html

docs.pinot.apache.org

dev.mobiland.com/Overview.xsp

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Apache Software Foundation and contributors

Mobiland AG

Initial release

2008

2015

2018

Current release

2.3.4, January 2021

1.0.0, September 2023

1.1.263, October 2022

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

Apache Version 2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

Linux
Unix
Windows

using Cygwin

All OS with a Java JDK11 or higher

Windows

Data scheme

schema-free, schema definition possible

yes

Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)

Typing

predefined data types such as float or date

options to bring your own types, AVRO

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Java API
RESTful HTTP API
Thrift

JDBC

.NET Client API
Proprietary client DLL
WinRT client

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

Go
Java
Python

.Net
C
C#
C++
VB.Net

Server-side scripts

Stored procedures

yes

Coprocessors in Java

Triggers

yes

no, except callback-events from server when changes happened

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Proprietary Sharding system

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Single row ACID (across millions of columns)

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

Windows-Profile

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