What is Compass?
Compass serves as an AI-driven data assistant that integrates effortlessly with Slack, allowing users to convert simple questions into instant answers, summaries, charts, and insights sourced directly from their data warehouses. This innovative tool empowers teams to make educated, data-informed decisions without facing the delays associated with BI backlogs or the necessity of pre-built dashboards. By connecting directly with major data warehouses like Snowflake, BigQuery, Redshift, Postgres, AWS Athena, and Databricks, Compass comprehends the schema and context of your data while providing governed, SQL-based responses and visualizations within the team's familiar tools, thus ensuring that data security is prioritized. As time progresses, Compass builds upon organizational knowledge, leading to increasingly accurate and relevant responses, while also promoting collaboration through Slack threads, scheduling recurring analyses, and maintaining a central repository of definitions and insights to reduce analytical silos and reliance on specialized SQL skills. Additionally, this cutting-edge solution not only simplifies the decision-making process but also enhances overall team efficiency by making data readily accessible and easy to utilize. In essence, Compass revolutionizes how teams interact with data, fostering a culture of informed decision-making and seamless collaboration.
Pricing
Price Starts At:
$49 per month
Free Version:
Free Version available.
Integrations
Similar Software to Compass
BigQuery serves as a serverless, multicloud data warehouse that simplifies the handling of diverse data types, allowing businesses to quickly extract significant insights. As an integral part of Google’s data cloud, it facilitates seamless data integration, cost-effective and secure scaling of analytics capabilities, and features built-in business intelligence for disseminating comprehensive data insights. With an easy-to-use SQL interface, it also supports the training and deployment of machine learning models, promoting data-driven decision-making throughout organizations. Its strong performance capabilities ensure that enterprises can manage escalating data volumes with ease, adapting to the demands of expanding businesses.
Furthermore, Gemini within BigQuery introduces AI-driven tools that bolster collaboration and enhance productivity, offering features like code recommendations, visual data preparation, and smart suggestions designed to boost efficiency and reduce expenses. The platform provides a unified environment that includes SQL, a notebook, and a natural language-based canvas interface, making it accessible to data professionals across various skill sets. This integrated workspace not only streamlines the entire analytics process but also empowers teams to accelerate their workflows and improve overall effectiveness. Consequently, organizations can leverage these advanced tools to stay competitive in an ever-evolving data landscape.
Learn more
FinOpsly helps enterprises regain control of cloud, data, and AI spend—and turn it into measurable business value.
As organizations scale across AWS, Azure, GCP, and modern data platforms like Snowflake, Databricks, and BigQuery, technology costs become harder to predict, explain, and control. FinOpsly addresses this challenge by connecting technology spend directly to business outcomes—and enabling teams to act on it in real time.
FinOpsly unifies cloud infrastructure, data platforms, and AI workloads into a single operating model where spend is planned upfront, monitored continuously, and optimized automatically. Using explainable, policy-driven AI, the platform helps organizations reduce waste, prevent overruns, and align technology investments with business priorities—without slowing down innovation.
With FinOpsly, organizations can:
Understand exactly where money is going across AWS, Azure, GCP, Snowflake, Databricks, and BigQuery
Plan and forecast costs earlier, before new cloud, data, or AI initiatives are deployed
Automate optimization safely, using governance rules aligned to business risk and performance needs
Deliver measurable financial impact quickly, often within weeks rather than quarters
FinOpsly enables IT, finance, and business leaders to operate from a shared view of spend and value—bringing Value-Control™ to cloud, data, and AI investments at enterprise scale.
Learn more
AskEnola
AskEnola is a cutting-edge analytical platform powered by AI, which surpasses conventional dashboards and manual reporting methods. It effortlessly links with data warehouse solutions such as Snowflake, BigQuery, or Redshift, and understands your key business performance indicators to deliver prompt responses to complex questions in simple terms. Unlike traditional business intelligence tools that demand a lengthy setup process, Enola is ready to use right away, uncovering trends, identifying root causes, and predicting outcomes in real-time. Teams across various departments, including Revenue Operations, Business Operations, Financial Planning & Analysis, and Product Management, utilize Enola to speed up decision-making, lower reporting costs, and boost the use of analytics. By combining the BADIR™ approach with contextual AI, it effectively breaks down data silos and transforms how companies react to market changes. Whether you are assessing customer churn, forecasting revenue, or tracking performance indicators, Enola provides trustworthy insights without the hassle of tickets or dashboards. Discover the next generation of analytics by requesting your complimentary demo today or explore Enola in our interactive Sandbox environment, where you can see its capabilities firsthand.
Learn more
LangGrant
LangGrant effectively merges sophisticated language models with your operational databases, ensuring reliable and governed insights from data. Instead of providing standalone answers, it creates persistent, versioned Data Plans that clarify the methodologies and reasoning leading to each conclusion. These plans allow teams to evaluate, validate, and utilize the information while preserving the original data's integrity. A single query can integrate information from multiple databases, with LangGrant automatically adapting to the distinct schemas involved. It is compatible with various models such as Claude, OpenAI, and Google Gemini, and supports platforms including Snowflake, SQL Server, Oracle, PostgreSQL, BigQuery, Redshift, Azure SQL, Databricks, and MySQL. The Data Plans undergo a systematic lifecycle similar to software development, featuring stages like testing, approval, and staging, along with built-in access controls, safeguards for personally identifiable information, compliance checks, and thorough audit trails. By utilizing pre-existing reasoning instead of incurring expenses for each separate query, it promotes cost efficiency, encourages collaboration, and enhances organizational knowledge. This groundbreaking solution is developed by the team behind Windocks, which has garnered accolades from Gartner for its innovative contributions. Ultimately, LangGrant not only empowers organizations to leverage their data more effectively but also supports strategic decision-making and fosters a data-driven culture.
Learn more
Screenshots and Video
Company Facts
Company Name:
Dagster Labs
Date Founded:
2018
Company Location:
United States
Company Website:
compass.dagster.io
Product Details
Deployment
SaaS
Training Options
Documentation Hub
Online Training
Video Library
Support
Web-Based Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English