Software Alternatives & Reviews

Stacker VS DataSift

Compare Stacker VS DataSift and see what are their differences

Stacker logo Stacker

No-Code internal tools powered by Airtable, GSheets + more

DataSift logo DataSift

DataSift is a social data platform that enables companies to aggregate, filter and extract insights from public social conversations.
  • Stacker Landing page
    Landing page //
    2023-06-28
  • DataSift Landing page
    Landing page //
    2019-04-17

Stacker videos

No Stacker videos yet. You could help us improve this page by suggesting one.

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DataSift videos

DataSift harnesses the power of data to give companies the edge

More videos:

  • Review - datasift
  • Demo - Datasift plugin demo in Seesmic Desktop2

Category Popularity

0-100% (relative to Stacker and DataSift)
No Code
100 100%
0% 0
Governance, Risk And Compliance
Productivity
100 100%
0% 0
Machine Learning
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Stacker seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Stacker mentions (7)

View more

DataSift mentions (0)

We have not tracked any mentions of DataSift yet. Tracking of DataSift recommendations started around Mar 2021.

What are some alternatives?

When comparing Stacker and DataSift, you can also consider the following products

Retool - Build custom internal tools in minutes.

Twitonomy - Twitter analytics and much more.

ToolJet - Open-source alternative for Retool

StandardFusion - Integrated Risk Management Software to manage all your data governance, risk and compliance needs.

WeLoveNoCode - Need landing page in Webflow, web-platform in Bubble, mobile app in Adalo or an automation in Zapier? Don't spend time on learning NoCode platforms.

People Data Labs - Use our dataset of 1.5 billion unique person profiles to build products, enrich person profiles, power predictive modeling/AI, analysis, and more. We work with technical teams as their engineering focused people data partner.