Great price for easy ETL
We use Stitch from Talend to get data from a variety of platforms into our data warehouse without having to deal with APIs (as I am not a …
Overview
What is Stitch from Talend?
Stitch, or Stitch Data, now from Talend (acquired in late 2018) is an ETL tool for developers; the company was spun off from RJMetrics after that company's acquisition by Magento. Talend describes Stitch as a cloud-first, open source platform for…
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Product Details
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What is Stitch from Talend?
Stitch from Talend Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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(17)
Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
The Stitch has established itself as a reliable tool for efficiently building data pipelines. Many users consider The Stitch their go-to choice for an ETL tool and only explore other options when absolutely necessary. While some users have mentioned certain missing features, overall, The Stitch provides a satisfactory experience. Both engineering and data teams rely on The Stitch to replicate transactional datastores to an analytics warehouse. Users particularly appreciate that The Stitch supports the extraction, transformation, and loading of data into different schemas and data types, which is crucial for supporting data and BI teams. Furthermore, the singer-based architecture of The Stitch allows for extending integration capabilities beyond the provided connectors. The Ops team also leverages The Stitch to automate tasks and access data for dashboards, such as migrating data from Google Sheets to the database.
Reviews
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September 12, 2018
Inflexible, but fully-managed
We use Stitch to periodically replicate transactional datastores to an analytics warehouse. The transactional datastore are primarily PostgreSQL and MongoDB databases for microservices. Both the engineering and data teams use Stitch. The transactional datastores are not suitable for running analytics queries; they are tuned for different types of queries and access patterns. Extracting data from the transactional stores, transforming it to a different schema and data types, and loading it into a different datastore is not trivial work, and it is necessary to support the data and BI teams.
- Stitch is good at replicating relational databases. It manages the conversion of data types and schemas, and it is capable of incremental replication.
- Stitch's UI makes it easy to configure which tables should be replicated, and how they should be replicated.
- Stitch is not good at replicating document stores like MongoDB to relational databases. To be fair, this is a difficult task. Stitch flattens the objects, but the result is unwieldy.
- Stitch cannot replicate the same source to multiple sinks, which is inconvenient if you want to replicate some of a datastore's tables to Redshift and others to Redshift Spectrum, for instance.
- Stitch manages replication of transactional datastores to our data warehouse. Our data and business intelligence teams need this data to be replicated. Stitch allows our data engineers to focus on our product.
Stitch is less flexible than AWS DMS, but it is fully-managed.
4
Our organization has Stitch users on the data science, engineering, and business intelligence teams.