Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Acquiring code skills shouldn't hinder your ability to access essential information. Datawisp simplifies this process by utilizing visual blocks instead of code: just select a data source, make your transformations, and choose the desired output format. With our intuitive visual query builder, you can effortlessly manage one or multiple datasets and display the outcomes as either charts or tables. Beyond the no-code query options, Datawisp is equipped with an array of features designed to enhance your team's data handling capabilities and propel your business toward success. Collaboration is made seamless with Datawisp sheets, which are easily shareable, allowing for real-time teamwork. Additionally, our API provides the flexibility to fetch analyses from third-party services and applications, enabling you to create in-game leaderboards, export wallet addresses for whitelists, and much more, ultimately expanding the possibilities for your projects.
Description
Speeding up the process of gaining insights and removing obstacles for data analysts is crucial. With the help of intelligent automation in the data stack, you can extract insights from your data much faster—up to ten times quicker—thanks to AI innovations. Originally developed at Stanford's AI lab, this cutting-edge intelligence for today’s data stack is now accessible for your organization. You can leverage natural language to derive value from your disorganized, intricate, and isolated data within just minutes. Simply instruct your data on what you want to achieve, and it will promptly produce the necessary code for execution. This automation is highly customizable, tailored to the unique complexities of your organization rather than relying on generic templates. It empowers individuals to securely automate data-heavy workflows on the modern data stack, alleviating the burden on data engineers from a never-ending queue of requests. Experience the ability to reach insights in mere minutes instead of waiting months, with solutions that are specifically crafted and optimized for your organization’s requirements. Moreover, it integrates seamlessly with various upstream and downstream tools such as Snowflake, Databricks, Redshift, and BigQuery, all while being built on dbt, ensuring a comprehensive approach to data management. This innovative solution not only enhances efficiency but also promotes a culture of data-driven decision-making across all levels of your enterprise.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Redshift
No
Databricks
No
Google Cloud BigQuery
No
Looker
No
Microsoft Power BI
No
Snowflake
No
Tableau
No
Integrations
Amazon Redshift
Yes
Databricks
Yes
Google Cloud BigQuery
Yes
Looker
Yes
Microsoft Power BI
Yes
Snowflake
Yes
Tableau
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Datawisp
Founded
2018
Country
United States
Website
www.datawisp.io
Vendor Details
Company Name
Numbers Station
Country
United States
Website
www.numbersstation.ai/
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No