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What is rakam?

Rakam provides customized reporting solutions for diverse teams, ensuring that no group is limited to a single user interface. It effortlessly translates queries made within its interface into SQL commands, making it easier for end-users to interact with the data. Notably, Rakam does not move any data into your data warehouse; it works on the premise that all essential information is already present there, facilitating direct analysis from the warehouse, which serves as your ultimate source of truth. For additional information on this topic, be sure to explore our blog post. Furthermore, Rakam integrates with dbt core, acting as the data modeling layer without executing your dbt transformations. Instead, it links to your GIT repository to keep your dbt models updated automatically. In addition, Rakam can create incremental dbt models, boosting query efficiency while reducing database expenses. By specifying aggregates within your dbt resource files, Rakam efficiently generates roll-up models, which streamlines the process for users and promotes effective data management. This efficient approach enables teams to concentrate on deriving insights rather than getting bogged down by the technical complexities of data analysis, ultimately enhancing productivity.

What is NetSpring?

To achieve a thorough understanding of customer journeys and enhance attribution while gaining valuable cross-functional business insights, event data is frequently duplicated and transferred from product analytics platforms to data warehouses. This practice leads to discrepancies between the two systems: the isolated product analytics tools and the SQL/BI applications operating on the data warehouse. Compounding this issue, many BI tools are not optimized for analyzing event data effectively. NetSpring addresses these challenges by providing a unified self-service solution for product analytics that features BI-style ad hoc visual exploration, directly utilizing the data warehouse as the definitive source of information. Key Advantages: - GTM Teams: Access self-serve solutions to address pressing business inquiries without concerns over data accessibility. - Data & Analytics Teams: Enhance support for GTM teams with regulated self-service tools. - C-Suite: Utilize the data warehouse as the authoritative source for consistent outcomes, mitigating issues related to data duplication, reverse ETL, and security. Key Features: - Self-Service: A comprehensive library of behavioral analytics templates is available for users. - Analytical Power of BI: Enables users to engage in self-driven ad hoc visual exploration of data. - Warehouse-Native: Maintains rich business context while eliminating data duplication and enhancing accuracy, ensuring that insights are both reliable and actionable.

Media

Media

Integrations Supported

Amazon Redshift
Google Cloud BigQuery
Snowflake
ClickHouse
Firebase
Google Analytics
Google Analytics 360
MySQL
PostgreSQL
Presto
RudderStack
SQL Server
Segment
Snowplow Analytics
Tenjin

Integrations Supported

Amazon Redshift
Google Cloud BigQuery
Snowflake
Databricks

API Availability

Has API

API Availability

Pricing Information

$25 per user per month
Free Version

Pricing Information

$49/mo per seat
All plans include unlimited MTUs, unlimited Events and Data
- Growth (Starting at $49/mo per seat)
- Enterprise (Contact us)
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Rakam

Date Founded

2016

Company Location

United States

Company Website

rakam.io

Company Facts

Organization Name

NetSpring

Date Founded

2019

Company Location

United States

Company Website

www.netspring.io

Categories and Features

Digital Analytics

Not specified

Product Analytics

Not specified

Categories and Features

Digital Analytics

Not specified

Mobile App Analytics

Channel Attribution
Cohort Analysis
Funnel Analysis
Push Notifications

Product Analytics

Attribution
Churn Reporting
Customer Journey Analytics
Data History Retention
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation

Web Analytics

Form Analytics

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