Chartio is a cloud-based analytics and business intelligence tool.
Chartio empowers companies to examine business data from combined data sources, without the need to store them on any physical device. All data can be consolidated into one single analysis and report.
The platform makes it possible for every team member to solve their own subject and allows everyone to access, search, modify and visualize their data. Specific information for the users is displayed on a central dashboard.
Chartio provides a straightforward and easy-to-use interface, drag and drop features, powerful query mode, quick visualizations, one interface for data sources, funnel visualizations, and powerful filters.
Chartio currently scores 90/100 in the Analytics category. This is based on user satisfaction (90/100), press buzz (55/100), recent user trends (falling), and other relevant information on Chartio gathered from around the web.
The score for this software has declined over the past month. What is this? |
Product recommendations, vendor rankings, market overview and tips on how to select Analytics software for business. Published in March 2024.
Businesses today gather large volumes of data, ranging from customer information to something as basic as the client location. The process of converting the data into actionable information is called analytics. Analytics software analyzes each bit of data y...
FREE DOWNLOAD Analytics-Software-Buyer-Guide-2018.pdfIt is commonly used in tandem with databases like PostgreSQL, MySQL, Microsoft SQL, Windows Azure, Amazon Redshift, and Google BigQuery, and external data sources like Salesforce, Google Analytics, and Twilio.
Chartio is used for business data analytics and business intelligence.
This is a web-based platform.
Main users of this service are business teams and data analysts in medium-sized and large enterprises.
Support: FAQs, Knowledge Base, Online Support, Phone Support, Video Tutorials, Webinars.
No, it doesn't offer API.
Integrations: PostgreSQL, MySQL, Microsoft SQL Server, Windows Azure Cloud, Amazon RDS, Amazon, Redshift, Google BigQuery, Salesforce, Google Analytics, Twilio, Amazon EC2, Marketo, HubSpot, Segment, Heroku, Oracle, Rackspace Cloud, CSV File Uploads, Google Cloud SQL, Snowflake, Zendesk.
Yes, it is designed to be used by analytic teams.