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  5. Metabase vs Navatar

Metabase vs Navatar

OverviewComparisonAlternatives

Overview

Metabase
Metabase
Stacks928
Followers1.2K
Votes271
GitHub Stars44.4K
Forks6.0K
Navatar
Navatar
Stacks0
Followers1
Votes1

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CLI (Node.js)
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Manual

Detailed Comparison

Metabase
Metabase
Navatar
Navatar

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.

Navatar, the AI powered CRM platform for alternative assets and investment banking firms, enables investment professionals make informed decisions based on superior proprietary intelligence. Navatar is used by hundreds of firms including private equity funds, M&A boutiques and bulge brackets, fund of funds, multi-asset credit, hedge funds, real estate funds, venture capital firms, corporate development groups, family offices, private placement and other financial services companies. Navatar is revolutionizing private markets technology by transforming CRM from a data-entry tool into a strategic intelligence platform. Built on Salesforce, the world’s #1 CRM, Navatar leverages AI-driven automation, real-time data insights, and 100+ years of domain expertise to help private markets professionals outpace the competition.

-
CRM for private markets, private markets CRM
Statistics
GitHub Stars
44.4K
GitHub Stars
-
GitHub Forks
6.0K
GitHub Forks
-
Stacks
928
Stacks
0
Followers
1.2K
Followers
1
Votes
271
Votes
1
Pros & Cons
Pros
  • 62
    Database visualisation
  • 45
    Open Source
  • 41
    Easy setup
  • 36
    Dashboard out of the box
  • 23
    Free
Cons
  • 7
    Harder to setup than similar tools
No community feedback yet
Integrations
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
No integrations available

What are some alternatives to Metabase, Navatar?

Salesforce Sales Cloud

Salesforce Sales Cloud

The Sales Cloud puts everything you need at your fingertips—available anywhere. From Social accounts and contacts to Mobile, Chatter, and Analytics, collaboration across your global organization and getting deals done faster is not only possible, it's easy.

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.

Pipedrive

Pipedrive

Pipeline tool for active dealmakers. Get super-organized. Close deals in less time. Built by active salespeople and serious web app developers.

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.

Streak

Streak

Streak lets you keep track of all your deals right from your inbox. We let you group emails from the same customer together into one view and push that customer through your pipeline.

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.

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