Zing Data

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

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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:

Query Data: Utilize Zing's innovative features like type-ahead and location-based querying to obtain actionable insights without the need for data modeling.
Real-Time Alerts: Set up push or email alerts to stay informed of important changes immediately, eliminating the need for manual dashboard checks.
Collaboration: Foster teamwork by sharing questions with colleagues, using @mentions, push notifications, and chat to make data actionable.
Data Integration: Connect Zing with various data sources like Postgres, Snowflake, and Google Sheets to analyze data from different systems seamlessly.
Smart Visualizations: Benefit from smart visualizations based on data types, ensuring fast results and optimized queries.
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
Dashboards for data visualization
Push and email alerts up to every minute
Location-based querying for geographical data analysis
Collaborative environment for teamwork and knowledge sharing
Fine-tune shared charts and export data for further analysis

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
8. Missing features like AI text summaries and granular access control available in higher-priced tiers
9. Limited external integration options compared to some competitors
10. Not explicitly mentioned if the tool justifies value for money considering their price
High pricing compared to some competitors
Limited features in the Basic plan
2. Works on both mobile and the web
Available on both mobile and the web
Limited visibility or direct editing of shared charts
No detailed information on value for money compared to competitors

Pros

Cons

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
Dashboards for data visualization
Push and email alerts up to every minute
Location-based querying for geographical data analysis
Collaborative environment for teamwork and knowledge sharing
Fine-tune shared charts and export data for further analysis

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
8. Missing features like AI text summaries and granular access control available in higher-priced tiers
9. Limited external integration options compared to some competitors
10. Not explicitly mentioned if the tool justifies value for money considering their price
High pricing compared to some competitors
Limited features in the Basic plan
2. Works on both mobile and the web
Available on both mobile and the web
Limited visibility or direct editing of shared charts
No detailed information on value for money compared to competitors

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.