Lightdash removes the gap between your data transformation layer and your data visualization layer. It enables data analysts and engineers to control all of their business intelligence (data transformations/business logic as well as data visualization) in a single place.
Lightdash integrates with your dbt project and gives a framework for defining metrics and specifying joins between models all within your existing dbt YAML files. The data output from your dbt project is then available for exploring and sharing in Lightdash.

Lightdash connects to your dbt project and allows everyone to answer their own data questions.

Cube dev provide developers with analytical data access layer to build modern applications. Cube.js is used by thousands of companies around the world to power customer_facing analytics and internal business intelligence tools

Cube.dev is one of the power customer_facing analytics features and business intelligence tools on top of your cloud data warehouse.

GoodData is a multi-tenant, composable data and analytics platform that can be run in a public or private cloud, allowing you to build rich analytics for your end users (e.g., employees, customers, or business partners). GoodData provides self-service analytics, low-code/no-code interfaces, embeddable data visualization, and application integration. The platform also offers a robust end-to-end pipeline, including data ingestion, preparation, and transformations.


GoodData is a multi-tenant, composable data and analytics platform that can be run in a public or private cloud, allowing you to build rich analytics for your end users. 


Transform data is the provider of the data analytics and visualization software solution. It provides a centralized metrics store that enables metrics definitions in code with the supports of life-cycle management. It also provides solutions such as data analytics & visualization, data storage & computing, metrics stores from data sources, etc.

Transform empowers companies to define their most critical metrics, across all teams.

Weld allows users to sync data to their warehouse in real-time (ELT), model their data, and sync these models back to their apps (reverse-ELT). It’s an all-in-one data platform, built on top of the data warehouse. 

Weld is a modern data platform that helps companies centralize and leverage their customer data fast.

Headless BI - model your data once and consume it wherever you want

Metriql integrates with dbt and maps dbt resources as datasets. It can also create automatic dbt roll-up models to save data teams time.

Provider of big data SQL warehousing solutions. It provides a big data infrastructure platform that offers a single source of the repository to create, store, and query all the business metrics. It also builds metrics with data in the warehouse and queries them with SQL, REST API and Python SDK.

Metlo helps you provide a single place to create, store and query business metrics.

Hellotrace helps organizations - private and public, big and small - develop a deeper understanding of their systems. It does this by creating a unified metrics layer - a central source of metrics and drivers ("metrics-as-code") to power various use cases within data-led organizations.

Tinybird provides a platform for analytics APIs. The product offers SQL-based API endpoints that help data teams deliver real-time answers. The features of the product include built-in integration, database connection, etc. It also provides integration over Snowflake, Apache Kafka, MySQL, Google BigQuery, etc.

Tinybird helps data teams deliver real-time answers at scale through analytical API endpoints built in minutes, not weeks.

Build data-rich features into your product without managing complicated data infrastructure or creating new data silos. With Propel's Serverless APIs, build analytics, reports, dashboards or search using Snowflake's data in minutes.

Propel Data helps you ship data products faster.

Companies

Lightdash

Cube.dev

GoodData

Transform Data

Weld

MetriQL

Metlo

Hellotrace

Tinybird

Propel Data

Did we miss any company?