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Stitch VS Propel Data

Compare Stitch VS Propel Data and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Stitch logo Stitch

Consolidate your customer and product data in minutes

Propel Data logo Propel Data

The API platform to build high-performance customer-facing analytics
  • Stitch Landing page
    Landing page //
    2023-05-10
  • Propel Data Landing page
    Landing page //
    2023-04-25

Propel helps engineering teams deliver high-performance customer-facing analytics. It is an analytics backend with a GraphQL API and UI component library that requires no infrastructure scaling or management.

Stitch videos

+ Add

Let's Talk About: Stitch! The Anime - A Review

More videos:

  • Review - Lilo and Stitch - Disney's Unusual Masterpiece
  • Review - Let's Talk About: Stitch and Ai - A Review

Propel Data videos

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Propel Snowflake demo

Category Popularity

0-100% (relative to Stitch and Propel Data)

Stitch

Propel Data

Data Integration
100 100%
Data Integration
0% 0
Analytics
70 70%
Analytics
30% 30
ETL
100 100%
ETL
0% 0
Productivity
0 0%
Productivity
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Stitch and Propel Data

Stitch Reviews

10 Best ETL Tools (October 2023)
An open-source ELT (extract, load, transform) data integration platform, Stitch is one more excellent choice. Similar to Talend, Stitch offers paid service tiers for more advanced use cases and larger numbers of data sources. Stitch was actually acquired by Talend in 2018.
Source: www.unite.ai
15+ Best Cloud ETL Tools
Stitch Data is an efficient, cloud-based ETL platform that enables businesses to seamlessly transfer their structured and unstructured data from various sources into data warehouses and data lakes. It provides tools for transforming data within the data warehouse or via external engines like Spark and MapReduce. As a part of Talend Data Fabric, Stitch Data focuses on...
Source: estuary.dev
Top 14 ETL Tools for 2023
G2 users have given Stitch generally positive reviews, with an average rating of 4.5 out of 5 Stars. The website also named Stitch a “Leader” in the winter of 2023. One reviewer compliments Stitch’s "simplicity of pricing, the open-source nature of its inner workings, and ease of onboarding." However, some Stitch reviews cite minor technical issues and a lack of support for...
Source: www.integrate.io
Top 10 Fivetran Alternatives - Listing the best ETL tools
Acquired by Talend in 2018, Stitch Data is a cloud open-source and developer-focused ELT platform that offers no-code connectors to bring data into your warehouse. Stitch offers compatibility with a broad range of data sources and destinations. It also enables customers to construct new sources based on Singer's standards, an open-source toolkit designed for scriptwriting.
Source: weld.app
A List of The 16 Best ETL Tools And Why To Choose Them
Stitch’s replication process extracts data from various data sources, transforms it into a useful raw format, and loads it into the destination. Its data connectors included databases and SaaS applications. Destinations can include data lakes, data warehouses, and storage platforms.
Source: www.datacamp.com

Propel Data Reviews

We have no reviews of Propel Data yet.
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What are some alternatives?

When comparing Stitch and Propel Data, you can also consider the following products

Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.

Creabl - All-in-one analytics for your product

Skyvia - Free cloud data platform for data integration, backup & management

The Guide to Product Analytics - A book of questions and answers from 25+ product experts

Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

The Analytics Setup Guidebook - Build scalable analytics & BI stacks in modern cloud era 📚

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