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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

Etleap was created on AWS to support Redshift, snowflake and S3/Glue data warehouses and data lakes. Their solution simplifies and automates ETL through fully-managed ETL as-a-service. Etleap's data wrangler allows users to control how data is transformed for analysis without having to write any code. Etleap monitors and maintains data pipes for availability and completeness. This eliminates the need for constant maintenance and centralizes data sourced from 50+ sources and silos into your database warehouse or data lake.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS IoT SiteWise No 
Adobe Marketo Engage No 
Amazon Athena Yes 
Amazon Redshift Yes 
Databricks Yes 
Facebook No 
Google Analytics No 
Google Sheets Yes 
Jira No 
Jira Work Management No 
Localytics No 
Mixpanel No 
MotherDuck Yes 
NetSuite No 
Orchestra No 
PostgreSQL Yes 
Segment No 
Snowflake Yes 
Trino Yes 
intermix.io No 

Integrations

AWS IoT SiteWise Yes 
Adobe Marketo Engage Yes 
Amazon Athena No 
Amazon Redshift No 
Databricks No 
Facebook Yes 
Google Analytics Yes 
Google Sheets No 
Jira Yes 
Jira Work Management Yes 
Localytics Yes 
Mixpanel Yes 
MotherDuck No 
NetSuite Yes 
Orchestra Yes 
PostgreSQL No 
Segment Yes 
Snowflake No 
Trino No 
intermix.io Yes 

Pricing Details

$49 per month
Free Trial No 
Free Version Yes 

Pricing Details

Because each company's ETL needs are different, Etleap's pricing is based on the number of sources types you want to integrate with, rather than data usage. We're committed to providing sophisticated, user-friendly ETL-as-a-service regardless of the size of your business.
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 Yes 
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 Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Dagster Labs

Founded

2018

Country

United States

Website

compass.dagster.io

Vendor Details

Company Name

Etleap

Country

United States

Website

etleap.com

Product Features

Product Features

Big Data

Collaboration Yes 
Data Blends Yes 
Data Cleansing Yes 
Data Mining No 
Data Visualization No 
Data Warehousing Yes 
High Volume Processing Yes 
No-Code Sandbox Yes 
Predictive Analytics No 
Templates 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 

Alternatives

Alternatives

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