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  5. Explore vs FnordMetric

Explore vs FnordMetric

OverviewComparisonAlternatives

Overview

FnordMetric
FnordMetric
Stacks4
Followers15
Votes0
Explore
Explore
Stacks15
Followers45
Votes0

Explore vs FnordMetric: What are the differences?

<Write Introduction here>
  1. Data Source: Explore is specifically designed to work with Elasticsearch as its data source, offering seamless integration with Elasticsearch queries and filters. On the other hand, FnordMetric supports various data sources, including Redis, MongoDB, and log files, providing more flexibility in data ingestion.

  2. Visualization Options: Explore primarily focuses on visualizing data in charts, graphs, and tables, with a strong emphasis on interactive dashboards. In contrast, FnordMetric specializes in real-time and time-series visualizations, making it a preferred choice for monitoring and analytics use cases.

  3. Customization Abilities: Explore offers a range of customization options for modifying the appearance and behavior of visualizations, such as adjusting colors, axes, and labels. FnordMetric, on the other hand, excels in allowing users to create custom widgets and metrics using its expressive query language and scripting capabilities.

  4. Community Support: Explore has a vibrant community of users and contributors, actively providing support, tutorials, and plugins to enhance its functionality. FnordMetric, while being widely used, may have a smaller community but offers extensive documentation and resources to assist users in leveraging its features.

  5. Enterprise Features: Explore includes enterprise-grade features like user management, role-based access control, and integration with authentication systems, making it suitable for organizations with complex security requirements. FnordMetric, while robust, may lack some advanced enterprise functionalities out of the box but can be extended through custom development.

  6. Deployment Options: Explore can be deployed on-premises or in the cloud, giving users flexibility in choosing the deployment model that best suits their needs. In contrast, FnordMetric is primarily deployed on-premises, which may be a crucial factor for organizations with specific compliance or security regulations regarding data hosting.

In Summary, Explore and FnordMetric differ in data sources, visualization options, customization abilities, community support, enterprise features, and deployment options.

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Detailed Comparison

FnordMetric
FnordMetric
Explore
Explore

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.

It is a free online chart maker & visual data exploration tool for all your spreadsheet data (Excel, CSV, Google Sheets). It runs locally in your browser, and does not store your data in our servers - so, your data is absolutely safe.

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
Free online chart maker; Visual data exploration tool for all your spreadsheet data; Runs locally in your browser
Statistics
Stacks
4
Stacks
15
Followers
15
Followers
45
Votes
0
Votes
0
Integrations
No integrations available
Google Sheets
Google Sheets
Microsoft Excel
Microsoft Excel

What are some alternatives to FnordMetric, Explore?

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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