
Looker
Sisense
Clari
Domo
MicroStrategy
Qlik
Tableau Server
#1 for Salesforce.com Pipeline forecasting, profitability analysis, activity tracking: all the small business intelligence you need. Works using CRM data and automatic syncing.

FriendlyData
Infer SQL queries from plain-text questions and table headers.
Which is more popular?
Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | insightsquared.com | github.com |
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In their own words, as submitted to SaaSHub.


learn.insightsquared.comSoftware by InsightSquared
No description of mlsql yet.
What each product offers, as listed by its team.


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An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using InsightSquared and mlsql. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Apache Superset can hold a vast universe of SQL data to fit their users' needs. InsightSquared is a revenue intelligence specialised business intelligence tool. Therefore, InsightSquared integrations are limited to...
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Recommendations tracked on public social media and blogs since March 2021.


Tracking InsightSquared since Mar 2021.
I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
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Communicate with databases like a human
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