DBMS > Percona Server for MySQL vs. Prometheus vs. Solr

System Properties Comparison Percona Server for MySQL vs. Prometheus vs. Solr

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Editorial information provided by DB-Engines

Name

Description

Enhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.

Open-source TimeSeries DBMS and monitoring system

A widely used distributed, scalable search engine based on Apache Lucene

Primary database model

Relational DBMS

Time Series DBMS

Search engine

Secondary database models

Spatial DBMS

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

Score	3.07
Rank	#104	Overall
	#51	Relational DBMS

Score	7.33
Rank	#57	Overall
	#3	Time Series DBMS

Score	47.28
Rank	#24	Overall
	#3	Search engines

Website

www.percona.com/software/mysql-database/percona-server

prometheus.io

lucene.apache.org/solr

Technical documentation

www.percona.com/downloads/Percona-Server-LATEST

prometheus.io/docs

lucene.apache.org/solr/resources.html

Developer

Percona

Apache Software Foundation

Initial release

2008

2015

2006

Current release

8.0.28-20, 2022

9.1.1, January 2023

License

Commercial or Open Source

Open Source

GPL version 2

Open Source

Apache 2.0

Open Source

Apache Version 2

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 and C++

Java

Server operating systems

Linux

Linux
Windows

All OS with a Java VM

runs as a servlet in servlet container (e.g. Tomcat, Jetty is included)

Data scheme

yes

Dynamic Fields enables on-the-fly addition of new fields

Typing

predefined data types such as float or date

yes

Numeric data only

yes

supports customizable data types and automatic typing

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.

yes

Import of XML data possible

yes

Secondary indexes

yes

All search fields are automatically indexed

SQL

Support of SQL

yes

Solr Parallel SQL Interface

APIs and other access methods

ADO.NET
JDBC
ODBC

RESTful HTTP/JSON API

Java API
RESTful HTTP/JSON API

Supported programming languages

Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

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

.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

yes

Java plugins

Triggers

yes

User configurable commands triggered on index changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication
XtraDB Cluster

yes

by Federation

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

spark-solr: github.com/lucidworks/spark-solr and streaming expressions to reduce

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

optimistic locking

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

Users with fine-grained authorization concept

no user groups or roles

yes

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.

Related products and services

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More resources

DB-Engines blog posts

Elasticsearch replaced Solr as the most popular search engine
12 January 2016, Paul Andlinger

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2 July 2014, Paul Andlinger

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4 February 2013, Paul Andlinger

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Recent citations in the news

How to deploy the Percona database performance monitor with Docker
24 February 2023, TechRepublic

The Spectrum Of IT Partnerships
26 February 2023, Forbes

Percona launches management system aimed at open-source databases
17 May 2022, The Register

PostgreSQL 15 promises to ease Oracle and SQL Server migrations
3 October 2022, The Register

Man Group selects Percona for MongoDB support
1 June 2022, Yahoo Finance

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24 March 2023, Nature.com

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27 February 2023, Container Journal

PromCon 2022: Why Prometheus Had to Change
3 January 2023, The New Stack

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

Query Optimization in the Prometheus World
14 June 2022, The New Stack

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2023-03-21 | TSXV:SOLR | Press Release | Solar Alliance Energy Inc
21 March 2023, Stockhouse

2023-03-06 | TSXV:SOLR | Press Release | Solar Alliance Energy Inc
6 March 2023, Stockhouse

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13 March 2023, Energy Made Easy

As Clean Energy Rebounds, Check Out SOLR
31 May 2022, ETF Trends

How to import data into Apache Solr
17 May 2022, TechRepublic

provided by Google News

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