Countly VS dbt

Compare Countly vs dbt and see what are their differences.

Countly

Countly is a product analytics platform that helps teams track, analyze and act-on their user actions and behaviour on mobile, web and desktop applications. (by Countly)
Analytics web-analytics Dashboard mobile-analytics Push Notifications crash-reports Insights Data Tracking product-management product-analytics crash-analytics data-ownership data-privacy feature-flags Gdpr remote-configuration user-feedback coppa Hipaa
Source Code
countly.com
Docs
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dbt

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications. [Moved to: https://github.com/dbt-labs/dbt-core] (by fishtown-analytics)
dbt-viewpoint Slack pypa data-modeling Business Intelligence Analytics elt

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Countly dbt
13 1
5,455 3,802
0.6% -
10.0 10.0
1 day ago over 2 years ago
JavaScript Python
GNU General Public License v3.0 or later Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Countly

Posts with mentions or reviews of Countly. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-07.

dbt

Posts with mentions or reviews of dbt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-25.
  • Open Source Analytics Stack: Bringing Control, Flexibility, and Data-Privacy to Your Analytics
    15 projects | dev.to | 25 Nov 2021
    Due to the rise in cloud-based data warehouses, businesses can directly load all the raw data into the data warehouse without prior transformations. This process is known as ELT (Extract, Load, Transform) and gives data and analytics teams freedom to develop ad-hoc transformations based on their particular needs. ELT became popular as the cloud's processing power and scale became better suited to transforming data. DBT (website, GitHub) is a popular open-source tool recommended for ELT and allows businesses to transform data in their warehouses more effectively. It's a great pairing with with RudderStack's Cloud Extract ETL tool.

What are some alternatives?

When comparing Countly and dbt you can also consider the following projects:

PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.

Apache Kafka - Mirror of Apache Kafka

Matomo - Empowering People Ethically with the leading open source alternative to Google Analytics that gives you full control over your data. Matomo lets you easily collect data from websites & apps and visualise this data and extract insights. Privacy is built-in. Liberating Web Analytics. Star us on Github? +1. And we love Pull Requests!

airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

Umami - Umami is a simple, fast, privacy-focused alternative to Google Analytics.

superset - Apache Superset is a Data Visualization and Data Exploration Platform

Serposcope - Rank tracker for SEO

Snowplow - The enterprise-grade behavioral data engine (web, mobile, server-side, webhooks), running cloud-natively on AWS and GCP

nbdev - Create delightful software with Jupyter Notebooks

Rakam - 📈 Collect customer event data from your apps. (Note that this project only includes the API collector, not the visualization platform)

rudderstack-docs - Documentation repository for RudderStack - the Customer Data Platform for Developers.

Countly vs PostHog dbt vs Apache Kafka Countly vs Matomo dbt vs airbyte Countly vs Umami dbt vs superset Countly vs Serposcope dbt vs Snowplow Countly vs Snowplow dbt vs nbdev Countly vs Rakam dbt vs rudderstack-docs