DBMS > Impala vs. mSQL vs. Prometheus vs. Riak KV

System Properties Comparison Impala vs. mSQL vs. Prometheus vs. Riak KV

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Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for Hadoop

mSQL (Mini SQL) is a simple and lightweight RDBMS

Open-source TimeSeries DBMS and monitoring system

Distributed, fault tolerant key-value store

Primary database model

Relational DBMS

Time Series DBMS

Key-value store

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

Secondary database models

Document store

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

Score	18.03
Rank	#40	Overall
	#25	Relational DBMS

Score	1.72
Rank	#136	Overall
	#66	Relational DBMS

Score	6.13
Rank	#67	Overall
	#3	Time Series DBMS

Score	6.63
Rank	#64	Overall
	#8	Key-value stores

Website

www.cloudera.com/products/open-source/apache-hadoop/impala.html

hughestech.com.au/products/msql

prometheus.io

riak.com/products/riak-kv

Technical documentation

docs.cloudera.com/documentation/enterprise/latest/topics/impala.html

prometheus.io/docs

Developer

Cloudera

Hughes Technologies

Basho Technologies

Initial release

2013

1994

2015

2009

Current release

4.0.0, July 2021

4.4, October 2021

2.1.0, April 2015

License

Commercial or Open Source

Open Source

Apache Version 2

commercial

free licenses can be provided

Open Source

Apache 2.0

Open Source

Apache version 2, commercial enterprise edition

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

C++

Erlang

Server operating systems

Linux

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Linux
Windows

Linux
OS X

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

Numeric data only

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.

Import of XML data possible

Secondary indexes

yes

restricted

SQL

Support of SQL

SQL-like DML and DDL statements

A subset of ANSI SQL is implemented

no subqueries, aggregate functions, views, foreign keys, triggers

APIs and other access methods

JDBC
ODBC

RESTful HTTP/JSON API

HTTP API
Native Erlang Interface

Supported programming languages

All languages supporting JDBC/ODBC

C
C++
Delphi
Java
Perl
PHP
Tcl

.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby

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

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

JavaScript and Erlang

Triggers

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

no "single point of failure"

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

none

yes

by Federation

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

none

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

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

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

More information provided by the system vendor

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

Recent citations in the news

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Man Busts Out of Google, Rebuilds Top-Secret Query Machine
24 October 2012, WIRED

Cloudera aims to bring real-time queries to Hadoop, big data
24 October 2012, ZDNet

How to add a data source to Redash
5 April 2022, TechRepublic

Unravel Data Adds Native Support for Impala and Kafka
29 June 2017, insideBIGDATA

provided by Google News

Time Series Databases Software Market Grows Significantly by 2022 -2028 | InfluxDB, Axibase Time Series Database, Trendalyze, Prometheus, Warp 10, etc – The Daily Vale
24 May 2022, The Daily Vale

Consider Grafana vs. Prometheus for your time-series tools
18 October 2021, TechTarget

Grafana Nixes Cortex Support for Amazon Managed Prometheus
28 April 2022, thenewstack.io

How time series platforms unlock the potential of IoT: Join theCUBE for May 17 event
10 May 2022, SiliconANGLE News

Timescale Announces OpenTelemetry Tracing Support for Promscale
16 May 2022, Business Wire

provided by Google News

Oren Eini on RavenDB, including Consistency Guarantees and C# as the Implementation Language
23 May 2022, InfoQ.com

Is Riak A Good NoSQL Database Option?
1 July 2019, Analytics India Magazine

Riak NoSQL Database: Use Cases and Best Practices
23 December 2011, InfoQ.com

Basho rolls out open source version of its Riak TS database
5 May 2016, ZDNet

Basho, Maker of Riak NoSQL Database, Raises $25M
13 January 2015, Data Center Knowledge

provided by Google News

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