Data & Analytics Tools
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Cube
Freemium
Cube is an open-source semantic layer platform for building data APIs and analytics applications. It sits between data warehouses and front-end applications providing a consistent metrics layer, query optimisation, caching, and access control. Cube's pre-aggregations accelerate complex queries dramatically. Used by engineering teams building analytics-heavy applications who need a scalable, maintainable metrics layer that abstracts data complexity from front-end developers and ensures consistent metric definitions across all applications consuming warehouse data.
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Streamlit
Freemium
Streamlit is an open-source Python framework for building and sharing data science web applications without web development knowledge. Data scientists write Python scripts and Streamlit renders them as interactive web apps with sliders, charts, maps, and file uploads automatically. Streamlit Community Cloud hosts apps for free. Acquired by Snowflake in 2022. Used by 1 million+ data scientists and ML engineers at companies including Airbnb and Uber for rapidly prototyping and deploying internal data tools, ML demos, and analytics dashboards.
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Census
Freemium
Census is a reverse ETL and data activation platform that syncs data from warehouses to 200+ business tools including Salesforce, Marketo, Amplitude, and Braze. Its operational analytics approach enables data teams to power business workflows with warehouse data without building custom integrations. Census Audience Hub provides no-code audience segmentation for marketing teams. Used by data and growth teams at companies including Figma, Canva, and Duolingo for activating warehouse data in operational tools and personalising customer experiences at scale.
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Sigma Computing
Paid
Sigma Computing is a cloud analytics platform that brings spreadsheet-style data exploration to cloud data warehouses. Business users interact with warehouse data using familiar spreadsheet concepts — rows, columns, formulas — while Sigma generates optimised SQL behind the scenes. This enables non-technical users to explore unlimited warehouse data without learning SQL or waiting for data team support. Used by finance, operations, and business teams at companies including Maple Leaf Foods and Toast for self-service warehouse analytics without technical barriers.
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Soda
Freemium
Soda is a data quality platform that enables data teams to define, monitor, and resolve data quality issues across their data pipelines. Its SodaCL language provides a human-readable syntax for writing data quality checks that run against any data source. Soda Cloud provides a monitoring dashboard with alerting, incident tracking, and collaboration tools. Integrates with Airflow, dbt, and Spark. Used by data engineering teams who need comprehensive data quality monitoring that catches issues before they reach dashboards and downstream consumers.
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Atlan
Paid
Atlan is a modern data catalog and governance platform that helps data teams discover, understand, and govern their data assets. It automatically crawls and catalogs tables, dashboards, ML models, and pipelines from connected tools with AI-generated descriptions and lineage mapping. Atlan's active metadata approach triggers automated actions when data changes. Used by data teams at Nasdaq, WeWork, and Postman for building searchable data catalogs, enforcing governance policies, and helping analysts find trusted data assets without relying on tribal knowledge.
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Monte Carlo
Paid
Monte Carlo is a data observability platform that automatically monitors data pipelines and warehouses to detect data quality issues before they impact business decisions. Its ML models learn normal data behaviour and alert teams when anomalies like missing data, schema changes, or distribution shifts occur. Monte Carlo provides end-to-end data lineage to trace issues to root causes quickly. Used by data engineering teams at Fox, PagerDuty, and Vimeo for reducing data downtime and building trust in data across organisations.
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re_data
Free
re_data is an open-source data reliability framework built on top of dbt for monitoring data quality and detecting anomalies in data warehouses. It automatically computes metrics on dbt models and detects statistical anomalies without manual threshold configuration. re_data integrates natively with dbt workflows and generates data quality reports. Used by data engineering teams already using dbt who want to add automated data quality monitoring without adopting a separate commercial observability platform.
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Tableau Analytics
Paid
Tableau is the leading visual analytics platform that enables business users and data analysts to connect to virtually any data source and create interactive dashboards, charts, and reports through a drag-and-drop interface without writing SQL or code. Its AI-powered Explain Data feature automatically surfaces statistical explanations for data patterns and outliers, helping analysts understand why metrics behave the way they do without manual investigation. Business analysts, data teams, and executives at organizations of all sizes use Tableau to transform raw data into intuitive visual stories that drive data-informed decisions across every business function.
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dbt Analytics
Freemium
dbt, or data build tool, is an open-source transformation framework that enables data analysts and engineers to transform raw data in their warehouse using SQL and Python with software engineering best practices including version control, testing, documentation, and modular code organization. Its semantic layer capability defines business metrics in code that can be queried consistently across BI tools, and its cloud platform provides managed orchestration and observability for data transformation pipelines. Data teams at organizations with cloud data warehouses use dbt as the standard tool for the transformation layer of the modern data stack, turning raw warehouse data into reliable, documented analytics-ready models.
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Monte Carlo Data
Paid
Monte Carlo is a data observability platform that monitors data pipelines and warehouses for data quality issues including freshness problems, volume anomalies, schema changes, and field-level distribution shifts that silently corrupt downstream dashboards and ML models. Its automated data lineage tracking maps dependencies across the entire data stack, enabling teams to immediately identify which reports and models are affected when a data issue is detected upstream. Data engineering teams and analytics engineers use Monte Carlo to build trust in their data products by catching data quality incidents before stakeholders notice them and enabling faster root cause analysis when issues occur.
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Metabase BI
Freemium
Metabase is an open-source business intelligence tool that enables anyone in a company to explore data and create charts and dashboards without SQL through an intuitive question-building interface, while also providing a full SQL editor for more advanced analysis. Its embedding capabilities allow developers to build analytics directly into their applications, and its AI features help users formulate queries in natural language. Startups, growing companies, and teams that want to democratize data access without heavy BI tool licensing or technical gatekeeping use Metabase for its balance of simplicity and power that makes data exploration accessible to non-data professionals.
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