quary VS dbt

Compare quary vs dbt and see what are their differences.

quary

Quary is an open-source BI platform for engineers. (by quarylabs)

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)
SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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quary dbt
1 1
580 3,802
10.0% -
8.6 10.0
6 days ago over 2 years ago
TypeScript Python
Apache License 2.0 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.

quary

Posts with mentions or reviews of quary. We have used some of these posts to build our list of alternatives and similar projects.

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 quary and dbt you can also consider the following projects:

dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

Apache Kafka - Mirror of Apache Kafka

sayn - Data processing and modelling framework for automating tasks (incl. Python & SQL transformations).

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.

tellery - Tellery lets you build metrics using SQL and bring them to your team. As easy as using a document. As powerful as a data modeling tool.

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

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

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

ClickHouse - ClickHouse® is a free analytics DBMS for big data

Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:

nodejs-bigquery - Node.js client for Google Cloud BigQuery: A fast, economical and fully-managed enterprise data warehouse for large-scale data analytics.