Top Rated Raden AI Data Engineer Alternatives
(159)
4.8 out of 5
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There are not enough reviews of Raden AI Data Engineer for G2 to provide buying insight. Below are some alternatives with more reviews:
1
Databricks Data Intelligence Platform
4.6
(403)
Making big data simple
2
Hightouch
4.6
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Hightouch is the easiest way to sync customer data into your tools like CRMs, email tools, and Ad networks. Sync data from any source (data warehouse, spreadsheets) to 70+ tools, using SQL or a point-and-click UI, without relying on favors from Engineering. For example, you can sync data on how leads are using your product to your CRM so that your sales reps can personalize messages and unlock product-led growth.
3
Monte Carlo
4.4
(356)
Monte Carlo is the first end-to-end solution to prevent broken data pipelines. Monte Carlo’s solution delivers the power of data observability, giving data engineering and analytics teams the ability to solve the costly problem of data downtime.
4
Census
4.5
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A single, trusted place to sync data from your warehouse to the business apps you love. Census empowers everyone in your organization to take action with good data, no custom scripts or engineering favors required.
5
dbt
4.8
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dbt is a transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.
6
Boost.space
4.6
(158)
Boost.space is a data centralization platform - a cloud database with more than 1100+ integrations (powered by Make.com engine) that allows you to build your mater data and manage your business in one central space. Centralize business data! Automate, analyze and manage your company in one space.
7
Prefect
4.5
(123)
Prefect is the new standard in dataflow automation , trusted to build, run, and monitor millions of data workflows and pipelines.
8
Atlan
4.5
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Atlan is a Modern Data Workspace with the vision to enable data democratization within organizations, while maintaining the highest standards of governance and security. The diverse users of today’s modern data team, ranging from data engineers to business users, come together to collaborate on Atlan.
By enabling data discovery, context sharing, governance, and security, data teams using Atlan are able to free upwards of 30% of their time—replacing manual, repetitive tasks with automation and minimizing dependency on IT. Teams using Atlan have been able to improve time to insight by 60X and create 100 additional data projects in a single quarter!
9
Astro by Astronomer
4.6
(105)
Astronomer is a data engineering platform designed to collect, process and unifiy enterprise data, so users can get straight to analytics, data science and insights.
10
Stonebranch
4.5
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Stonebranch is a modern, efficient automation solution to drive immediate business processing manageable from any web-enabled device.
Raden AI Data Engineer Categories on G2
