About rakam

Rakam is a unified analytics platform that connects directly to your data warehouse, allowing teams to run ad-hoc queries and generate insights without needing SQL expertise. By enabling non-technical users to perform complex product analytics like segmentation and funnel analysis, Rakam eliminates the barriers of traditional BI tools while avoiding data duplication and volume-based pricing.

```xml <problem> Traditional business intelligence (BI) tools often require SQL expertise, creating a barrier for non-technical users who need to analyze product data. Third-party product analytics platforms ingest and duplicate data, leading to concerns about data volume-based pricing and data silos. </problem> <solution> Rakam is a unified analytics platform that connects directly to existing data warehouses, enabling teams to perform ad-hoc queries and generate insights without SQL knowledge. By defining data as code and integrating with dbt projects, Rakam allows non-technical users to conduct complex product analytics, including segmentation, funnel analysis, and retention analysis, using a specialized interface. The platform avoids data duplication and volume-based pricing by leveraging the existing data warehouse as the single source of truth. Rakam transforms user interface questions into SQL queries, hiding the complexity from end-users and providing verticalized reporting features tailored to different teams' needs. </solution> <features> - Connects directly to data warehouses, including Snowflake, BigQuery, and Redshift, without data ingestion or duplication - Natively supports dbt core for data modeling, synchronizing with GIT repositories for automatic model updates - Provides specialized reporting features for product analytics, including segmentation, funnel, retention, and flow analysis - Offers a drag-and-drop UI and data catalog for non-technical users to perform ad-hoc queries without SQL - Creates automatic roll-up tables to speed up queries and reduce database costs - Enables the creation of modern dashboards as code or using a drag-and-drop UI - Integrates with Metriql, an open-source metrics store solution </features> <target_audience> Rakam is designed for product teams, data analysts, and marketing professionals who need to analyze product data within their existing data warehouse environment without requiring SQL expertise. </target_audience> <revenue_model> Rakam offers tiered pricing plans based on the number of users, including a free Startup plan for up to 2 users and paid Growth and Enterprise plans with additional features and support. The Growth plan is priced at $25 per user per month. </revenue_model> ```

What does rakam do?

Where is rakam located?

rakam is based in San Francisco, United States.

When was rakam founded?

rakam was founded in 2016.

Location

San Francisco, United States

Founded

2016

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rakam

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Executive Summary

rakam.io LinkedIn Profile

Founded 2016 – San Francisco, United States

Funding

No funding information available.

Team

No team information available.

Company Description

Problem

Traditional business intelligence (BI) tools often require SQL expertise, creating a barrier for non-technical users who need to analyze product data. Third-party product analytics platforms ingest and duplicate data, leading to concerns about data volume-based pricing and data silos.

Solution

Rakam is a unified analytics platform that connects directly to existing data warehouses, enabling teams to perform ad-hoc queries and generate insights without SQL knowledge. By defining data as code and integrating with dbt projects, Rakam allows non-technical users to conduct complex product analytics, including segmentation, funnel analysis, and retention analysis, using a specialized interface. The platform avoids data duplication and volume-based pricing by leveraging the existing data warehouse as the single source of truth. Rakam transforms user interface questions into SQL queries, hiding the complexity from end-users and providing verticalized reporting features tailored to different teams' needs.

Features

Connects directly to data warehouses, including Snowflake, BigQuery, and Redshift, without data ingestion or duplication

Natively supports dbt core for data modeling, synchronizing with GIT repositories for automatic model updates

Provides specialized reporting features for product analytics, including segmentation, funnel, retention, and flow analysis

Offers a drag-and-drop UI and data catalog for non-technical users to perform ad-hoc queries without SQL

Creates automatic roll-up tables to speed up queries and reduce database costs

Enables the creation of modern dashboards as code or using a drag-and-drop UI

Integrates with Metriql, an open-source metrics store solution

Target Audience

Rakam is designed for product teams, data analysts, and marketing professionals who need to analyze product data within their existing data warehouse environment without requiring SQL expertise.

Revenue Model

Rakam offers tiered pricing plans based on the number of users, including a free Startup plan for up to 2 users and paid Growth and Enterprise plans with additional features and support. The Growth plan is priced at $25 per user per month.