DBMS > Apache Pinot vs. Immudb vs. Riak KV vs. STSdb

System Properties Comparison Apache Pinot vs. Immudb vs. Riak KV vs. STSdb

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Editorial information provided by DB-Engines

Name

Description

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

An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.

Distributed, fault tolerant key-value store

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

Relational DBMS

Key-value store

with links between data sets and object tags for the creation of secondary indexes

Key-value store

Secondary database models

Relational DBMS

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

Score	0.35
Rank	#274	Overall
	#128	Relational DBMS

Score	0.24
Rank	#295	Overall
	#42	Key-value stores

Score	3.84
Rank	#76	Overall
	#9	Key-value stores

Score	0.03
Rank	#365	Overall
	#54	Key-value stores

Website

pinot.apache.org

github.com/codenotary/immudb
immudb.io

github.com/STSSoft/STSdb4

Technical documentation

docs.pinot.apache.org

docs.immudb.io

www.tiot.jp/riak-docs/riak/kv/latest

Developer

Apache Software Foundation and contributors

Codenotary

OpenSource, formerly Basho Technologies

STS Soft SC

Initial release

2015

2020

2009

2011

Current release

1.0.0, September 2023

1.2.3, April 2022

3.2.0, December 2022

4.0.8, September 2015

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache Version 2.0

Open Source

Apache version 2, commercial enterprise edition

Open Source

GPLv2, commercial license available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Erlang

Server operating systems

All OS with a Java JDK11 or higher

BSD
Linux
macOS
Solaris
Windows
z/OS

Linux
OS X

Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

yes

restricted

SQL

Support of SQL

SQL-like query language

SQL-like syntax

APIs and other access methods

JDBC

gRPC protocol
PostgreSQL wire protocol

HTTP API
Native Erlang Interface

.NET Client API

Supported programming languages

Go
Java
Python

.Net
Go
Java
JavaScript (Node.js)
Python

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

C#
Java

Server-side scripts

Stored procedures

Erlang

Triggers

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

no "single point of failure"

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

links between data sets can be stored

Transaction concepts

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

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.

User concepts

Access control

yes, using Riak Security

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More resources

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8 May 2024, VentureBeat

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8 May 2024, SiliconANGLE News

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A Critique of Resizable Hash Tables: Riak Core & Random Slicing
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