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features
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support

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Description

Compass is a data assistant that leverages AI and integrates seamlessly with Slack, enabling users to transform straightforward inquiries into immediate answers, summaries, charts, and insights derived from the actual data in their warehouses. This tool is designed to empower teams to make informed, data-driven choices without having to deal with the delays of BI backlogs or the need to create dashboards beforehand. By establishing direct connections with prominent data warehouses such as Snowflake, BigQuery, Redshift, Postgres, AWS Athena, and Databricks, Compass not only learns the schema and context of your data but also delivers governed, SQL-powered responses and visualizations within the familiar tools used by your team, ensuring data remains secure and under your control. Over time, Compass enhances organizational knowledge, making answers progressively more precise and pertinent, while fostering collaboration through Slack threads, allowing the scheduling of recurring analyses, and maintaining a centralized repository of definitions and insights that diminish analytical silos and lessen dependency on specialized SQL expertise. Furthermore, this innovative solution streamlines the decision-making process, making it easier for teams to access and utilize data effectively.

Description

Gather real-time data from your database, third-party applications, and various events. Create an analytics database for each workspace along with individual tables for each data source. Utilize AI to formulate complex queries and save these as accessible API endpoints. Monitor changes over time or directly apply queries within your product. Focus more on developing features and less on generating reports. Leverage Velvet to streamline your product development process more efficiently. Generate AI-enhanced visualizations to monitor progress over time. Aim features at specific user segments or present data within your product interface. Ingest any type of data source and execute queries across tables in mere milliseconds. Employ Velvet as your everyday assistant to reveal data insights, ensure that internal stakeholders are on the same page, and construct new features using collaborative building blocks. This approach not only enhances productivity but also fosters a data-driven culture within your team, ultimately leading to more informed decision-making.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

PostgreSQL Yes 
Snowflake Yes 
Braze No 
Bubble No 
Calendly No 
Databricks Yes 
Google Cloud BigQuery Yes 
HubSpot CRM No 
HubSpot Customer Platform No 
Microsoft Excel Yes 
Mixpanel No 
MongoDB No 
MotherDuck Yes 
PostHog No 
RevenueCat No 
SQL No 
Slack Yes 
Supabase No 
Trino Yes 
Typeform No 

Integrations

PostgreSQL Yes 
Snowflake Yes 
Braze Yes 
Bubble Yes 
Calendly Yes 
Databricks No 
Google Cloud BigQuery No 
HubSpot CRM Yes 
HubSpot Customer Platform Yes 
Microsoft Excel No 
Mixpanel Yes 
MongoDB Yes 
MotherDuck No 
PostHog Yes 
RevenueCat Yes 
SQL Yes 
Slack No 
Supabase Yes 
Trino No 
Typeform Yes 

Pricing Details

$49 per month
Free Trial No 
Free Version Yes 

Pricing Details

$39 per month
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 Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Dagster Labs

Founded

2018

Country

United States

Website

compass.dagster.io

Vendor Details

Company Name

Velvet

Website

www.usevelvet.com

Product Features

Product Features

Alternatives

Alternatives

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