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Zing Data

Zing Data provides mobile-first business intelligence with real-time alerts, natural language queries, and smart visualizations.
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Zing Data

What is Zing Data?

Zing Data is a platform for mobile-first business intelligence designed to enable organizations to delve deeper into their data. With accessibility across native mobile apps and the web, Zing Data empowers users throughout the organization to swiftly and effortlessly access answers to their queries. The platform offers diverse querying tools, such as natural language question asking and visual querying, making it convenient for users to explore and analyze data effectively. Real-time alerts, location-based querying, and collaboration features are among the key functionalities of Zing Data, facilitating teamwork, knowledge sharing, and actionable insights. The platform supports multiple data sources, smart visualizations, and fast query optimization, ensuring efficient data analysis across various systems. Zing Data is user-friendly, accessible on iOS, Android, and the web, and focused on enhancing collaborative data analysis within organizations.

Who created Zing Data?

Zing Data was created by an undisclosed founder and launched on May 28, 2023. The company offers a mobile-first business intelligence platform that enables organizations to analyze data effortlessly through tools like natural language querying, visual querying, real-time alerts, and collaboration features. Zing Data supports multiple data sources, smart visualizations, and is accessible on iOS, Android, and the web.

What is Zing Data used for?

  • Dashboards
  • Real-time alerts for data changes
  • Location-based querying and visualization on a map
  • Collaboration features for teamwork and knowledge sharing
  • Shared questions and chat capabilities for learning and action
  • Fine-tuning shared charts and exporting data for further analysis
  • Support for multiple data sources like Postgres, Snowflake, and Google Sheets
  • Smart visualizations based on data types for optimizing queries
  • Native mobile apps and web accessibility for easy access
  • Natural language question asking and visual querying tools
  • User access logs and on-prem options for advanced security
  • Multiple data sources support
  • Data querying through natural language questions
  • Visual querying of data using a drag-and-drop interface
  • Real-time alerts for data changes and specific thresholds
  • Location-based querying and visualization on maps
  • Collaboration with shared questions and chat capabilities
  • Integration of multiple data sources such as Postgres, Snowflake, and Google Sheets
  • Smart visualizations based on data types for fast results
  • Native mobile apps and web accessibility for data analysis
  • Support for enterprise-level features like Okta & Microsoft Active Directory SSO and Salesforce, Hubspot, SAP, and Oracle
  • Implementation support and service level agreement
  • Natural Language Querying using OpenAI
  • Push + Email alerts up to every minute
  • SSH tunneling
  • CSV, Excel files up to 100 MB each
  • Dashboard filters
  • AI text summaries
  • Granular access control (editor, viewer)
  • Chat support
  • Location-based querying
  • Deeper understanding of data
  • Native mobile apps and web accessibility
  • Collaboration and teamwork fostering
  • Shared visualizations and chat capabilities
  • Smart visualizations based on data types
  • Available on iOS, Android, and web
  • Query data using natural language and visual tools
  • Native mobile apps and web accessibility for quick access to data
  • Various tools for querying data like natural language question asking and visual querying
  • Real-time alerts for notifications on data changes
  • Collaboration features for knowledge sharing and teamwork
  • Support for multiple data sources like Postgres and Snowflake
  • Availability on iOS, Android, and the web for universal access
  • Advanced filters for data filtering tasks
  • Collaboration tools like shared questions, @mentions, and shared chat for team collaboration

Who is Zing Data for?

  • Business analysts
  • Data engineers
  • Data Analysts
  • Data scientists
  • BI Developers
  • Business Intelligence Professionals
  • Team leaders
  • Company Executives
  • Individuals
  • Teams
  • Larger companies
  • Business Intelligence Analysts
  • Business Executives
  • Marketers
  • Executives
  • Developers

How to use Zing Data?

To use Zing Data effectively, follow these steps:

  1. Query Data: Utilize Zing's innovative features like type-ahead and location-based querying to obtain actionable insights without the need for data modeling.

  2. Real-Time Alerts: Set up push or email alerts to stay informed of important changes immediately, eliminating the need for manual dashboard checks.

  3. Collaboration: Foster teamwork by sharing questions with colleagues, using @mentions, push notifications, and chat to make data actionable.

  4. Data Integration: Connect Zing with various data sources like Postgres, Snowflake, and Google Sheets to analyze data from different systems seamlessly.

  5. Smart Visualizations: Benefit from smart visualizations based on data types, ensuring fast results and optimized queries.

  6. Accessibility: Access Zing Data on iOS, Android, and the web, enabling users to collaborate and analyze data regardless of their preferred device.

By following these steps, you can effectively utilize Zing Data for comprehensive data analysis and collaboration within your organization.

Pros
  • Supports multiple data sources like Postgres, Snowflake, Google Sheets
  • Connectors for widely used data sources
  • Actionable results with innovative type-ahead and location-based querying
  • Connectors for widely used data sources such as Postgres, Snowflake, MySQL, etc.
  • Multiple data sources seamlessly co-exist in a unified, searchable view
  • Mobile-first platform for data analysis
  • Built-in chat and collaboration features
  • Flexible billing options (monthly or annually)
  • Available on iOS, Android, and web for accessibility
  • Supports natural language querying using OpenAI
Cons
  • Limited user access in the Basic plan
  • 3. Search or start from scratch
  • 4. Full visibility and direct editing
  • 5. Advanced filters for the biggest tasks
  • 6. Limited collaboration features compared to other tools in the industry
  • 7. Lack of detailed information on pricing tiers and features offered

Zing Data Pricing and plans

Paid plans start at $18180/month and include:

  • Natural Language Querying using OpenAI
  • Dashboards
  • Push + Email alerts up to every minute
  • SSH tunneling
  • CSV, Excel files up to 100 MB each
  • Dashboard filters

Zing Data FAQs

What types of data sources does Zing Data support?
Zing Data supports connectors for various data sources, including Postgres, Snowflake, mySQL, BigQuery, Google Sheets, and more.
How does Zing Data enhance collaboration?
Zing Data fosters collaboration through shared questions, chat capabilities, and the ability to learn from teammates.
What are the pricing options for Zing Data?
Zing Data offers pricing tiers ranging from Basic to Enterprise, with features like unlimited queries, dashboards, and AI text summaries.
Does Zing Data provide real-time alerts?
Yes, Zing Data offers real-time alerts, allowing users to receive notifications and emails promptly.
Can users ask questions in natural language with Zing Data?
Yes, users can utilize natural language querying with Zing Data using OpenAI technology.
What visualization features are available in Zing Data?
Zing Data provides smart visualizations based on data types, ensuring fast results and optimized queries.

Get started with Zing Data

Zing Data reviews

How would you rate Zing Data?
What’s your thought?
Liam Clark
Liam Clark January 15, 2025

What do you like most about using Zing Data?

I appreciate the mobile-first approach; it allows me to access insights while on the go, which is great for my fast-paced work environment.

What do you dislike most about using Zing Data?

The user interface feels somewhat clunky at times, especially when trying to create complex visualizations. It could use a more intuitive design.

What problems does Zing Data help you solve, and how does this benefit you?

Zing Data makes it easier to get real-time alerts for key metrics, which helps in making timely decisions, but sometimes the alerts can be a bit overwhelming.

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Emma Johnson
Emma Johnson December 31, 2024

What do you like most about using Zing Data?

The natural language query feature is a game-changer. I can ask questions in plain English without needing to know SQL, which is super helpful.

What do you dislike most about using Zing Data?

I find that the collaboration features could be improved. Sometimes, sharing insights with team members is not as seamless as I would like.

What problems does Zing Data help you solve, and how does this benefit you?

Zing Data allows me to quickly access and analyze data from multiple sources, saving time on reporting and enabling faster decision-making.

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Noah Garcia
Noah Garcia January 7, 2025

What do you like most about using Zing Data?

The smart visualizations help make complex data more understandable at a glance, which is crucial for presentations.

What do you dislike most about using Zing Data?

Sometimes, the performance can lag when running multiple queries at once, which can be frustrating during critical meetings.

What problems does Zing Data help you solve, and how does this benefit you?

It centralizes data from different platforms, allowing me to have a comprehensive view of the business performance, which enhances strategic planning.

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