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  5. FnordMetric vs Mprove

FnordMetric vs Mprove

OverviewComparisonAlternatives

Overview

FnordMetric
FnordMetric
Stacks4
Followers15
Votes0
Mprove
Mprove
Stacks3
Followers6
Votes0
GitHub Stars329
Forks27

FnordMetric vs Mprove: What are the differences?

What is FnordMetric? Create charts and dashboards from SQL. FnordMetric allows you to write SQL queries that return SVG charts rather than tables. Turning a query result into a chart is literally one line of code. FnordMetric allows you collect and visualize timeseries data using only SQL. It enables you to build beautiful real-time analytics dashboards within minutes.

What is Mprove? Open Source Business Intelligence for BigQuery. Next generation analytics workflow that helps everyone in your company to learn from data faster.

FnordMetric and Mprove can be primarily classified as "Business Intelligence" tools.

Some of the features offered by FnordMetric are:

  • Line Charts
  • Area Charts
  • Bar Charts

On the other hand, Mprove provides the following key features:

  • Dashboards
  • Charts
  • Filters

FnordMetric and Mprove are both open source tools. FnordMetric with 4.91K GitHub stars and 397 forks on GitHub appears to be more popular than Mprove with 152 GitHub stars and 7 GitHub forks.

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Detailed Comparison

FnordMetric
FnordMetric
Mprove
Mprove

FnordMetric allows you to write SQL queries that return SVG charts rather than tables. Turning a query result into a chart is literally one line of code. FnordMetric allows you collect and visualize timeseries data using only SQL. It enables you to build beautiful real-time analytics dashboards within minutes.

A better workflow for teams. Data Analysts create SQL models. Business users explore models using a simple user interface.

Line Charts;Area Charts;Bar Charts;Bubble & Scatter Charts;Combined Charts;Metric collection;Local Disk Backend;Send metric data to FnordMetric Server using a simple HTTP interface;Send metric data using the statsd protocol
Dashboards; Charts; Filters; SQL; Git powered workflow; Split SQL into YAML chunks; Reusable SQL blocks; Time zones; Open source
Statistics
GitHub Stars
-
GitHub Stars
329
GitHub Forks
-
GitHub Forks
27
Stacks
4
Stacks
3
Followers
15
Followers
6
Votes
0
Votes
0
Integrations
No integrations available
Clickhouse
Clickhouse
PostgreSQL
PostgreSQL
Google BigQuery
Google BigQuery

What are some alternatives to FnordMetric, Mprove?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

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