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About Gathr

Gathr is a data collection software from Gathr that focuses on gathering insights from various sources. It includes features such as customizable surveys, real-time analytics, and data visualization tools so users can make informed decisions based on comprehensive data analysis. Gathr helps organizations understand customer behavior and trends by providing accessible and actionable insights. The platform also supports integration with other applications, improving its functionality and usability within existing workflows. Key capabilities: customizable surveys real-time analytics data visualization tools application integration user-friendly interface Best for: businesses and organizations that need to collect and analyze data effectively.

Gathr Details

Vendor
Gathr
Year Launched
2014
Location
720 University Avenue, Suite 130, Los Gatos, CA 95032, USA
Deployment
cloud
Training Options
documentation, videos
Countries Served
All Countries
Languages
English
Users
Business Analysts, Data Scientists, IT Specialists, Software Developers, Data Engineers, Business Intelligence Professionals
Industries Served
Healthcare, Finance, Retail
Tags
Data Integration, Streaming Analytics, Machine Learning (ML), Generative AI, No-Code, ETL, Business Intelligence, Automation.

Gathr's In-App Market Place

Does Gathr have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), NZD (NZ$), INR (₹), SGD (S$), HKD (HK$), KRW (₩)

Pros & Cons

  • No-code platform simplifies complex workflows.
  • Unified solution for ETL, streaming, ML, and AI.
  • High scalability with Spark and Kubernetes integration.
  • Supports a vast array of connectors (250+).
  • Streamlines model deployment as a REST API.
  • Complex enterprise features may have a steep learning curve.
  • Pricing may not be suitable for small businesses.
  • Heavily reliant on cloud environments.
  • Limited language options beyond English.
  • High customization may require technical expertise.

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