Stitch, a Qlik product Reviews and Ratings

Rating: 8.4 out of 10

Score

8.4 out of 10

Community insights

TrustRadius Insights for Stitch, a Qlik product are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

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

4 Reviews

Great price for easy ETL

Rating: 6 out of 10

Incentivized

March 13, 2024

Use Cases and Deployment Scope

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 developer). There are many integration options and data is able to be imported into our data warehouse without the need for heavy lifting on the development side. We then use the integrations within Stitch from Talend to get data from the data sources to our data warehouse, GCP BigQuery.

Pros

Integrations
Customer Support
Set up and management
Pricing
Transparency

Cons

Annual vs. Monthly Contracts
Version control for Integrations
Documentation
Communication of deprecations/upgrades that require work/adjustments

Likelihood to Recommend

Stitch from Talend is very well suited for companies or individuals who have little to no development resources and need to get data from various platforms into a data warehouse. It is one of the more affordable options available. It's also useful to use Stitch from Talend as a hub for a custom webhook if there is a desire to keep all integrations in one place and maintain formatting once in the data warehouse.

Verified User

Manager (11-50 employees)

Vetted Review

6 years of experience

Stitch is a great tool, very cheap and simple to use for Data Ingestion

Rating: 10 out of 10

Incentivized

March 25, 2021

Use Cases and Deployment Scope

Stitch is used by the Data team and our Ops teams. The data team uses it for major apis like google ads, Facebook, Salesforce or Intercom to pass data to our warehouse in an easy automated way.

Our Ops team use it to pass data entry from Google sheets to the database to automate tasks or have data for dashboards.

Pros

Automate data ingestion.

Cons

Better error messages so you can determine what the problem is.

Likelihood to Recommend

Stitch is very cheap and useful for small to medium size companies to ingest data from common apis/platforms in a quick and cheap way.

Jono Child

Head of Data at The Plum Guide (51-200 employees)

Vetted Review

2 years of experience

View profile

Stitch your Data ingestions

Rating: 7 out of 10

Incentivized

January 25, 2021

Use Cases and Deployment Scope

We use Stitch, [a Talend company] and fivetran to ingest data in our snowflake data warehouse. This allows us to allow our users perform ingestion so we can take care of transformations and platform building which are more technical work. We like Stitch's singer based architecture which allows you to extend integration capabilities beyond connectors provided.

Pros

Easy integration with many sources
Extensible
Not as expensive as fivetran

Cons

Users feel the UI is not as friendly

Likelihood to Recommend

Ingestion tools make life easy to ingest new data sources. However, they are single tool in your tool box and treat them as such. They won't do your transformations nor do they (neither should they) have ability to define dependencies. They are built for making your ingestions mindlessly simple.

Verified User

Team Lead in Information Technology (501-1000 employees)

Vetted Review

1 year of experience

Inflexible, but fully-managed

Rating: 7 out of 10

Incentivized

September 12, 2018

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.

Likelihood to Recommend

Stitch is great for small organizations who want their data and business intelligence organizations to focus on building competitive advantages instead of building data pipelines. AWS DMS offers continuous replication and greater flexibility, if you have the engineering resources to configure it. Stitch may be too inflexible for large organizations with a variety of needs.

Verified User

Engineer in Engineering (11-50 employees)

Vetted Review

1 year of experience

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