Stitch Reviews

Does exactly what it should - Easily and reliably sync your data into various databases. With a really attractive price tag.

Custom ETL connectors (Singer) could be easier to implement.

Replicating data from various sources instances single a reporting warehouse. Works like a charm.

Nothing to configure so much. And very easy to use and run data lake very quickly. Even though you use No SQL, Stitch maps your No SQL data into the tabular data format.

One more problem is AWS region problem. I'm using OLTP and OLAP in Seoul region but Stitch is working in the Virginia region. So the cost of network traffic among two different AWS regions is very big part of our AWS cost.

Easy configuration of data duplicating from OLTP to OLAP is the problem we resolved by Stitch.

Stitch's best feature is to easily replicate data from an external source to your company's internal database on a schedule. In addition, Stitch has numerous integrations already available that allow the user to use them with trim configuration.

When using Stitch's ready-to-use integrations, the lack of transparency with integration configurations makes it difficult to evaluate any stemming issues.

The problem we are solving is replicating data from a source to our internal database. If any issues occur, Stitch does a great job of notifying what the issue is.

Stitch is a great launch team to the superb engineering of the inventory management software. This platform has allows our organization to aggregate all moving pieces of operations because it providing advanced order and inventory management options. We organize the sales management and we have saved our products in different categories and groups. It has the ability to track and manage inventory levels in each warehouse because we are able to manage multiple companies in similar industries within different markets but also it have the great reporting functionality that it allows us to gain meaningful insight into different locations that they are performing better than with others implement. We have a few amazon stores setup internationally and we can see many items that they are available in each warehouse. This implement has so many options to customize our business because they have to provide the great reports that provide tons of details so we have only scratched the surface of using this implement but I think it is more powerful for our sales management business.

Stitch can be very difficult to understand the data coming out of this system and when we build reports and saved searches because naming and reporting conventions but they are difficult to follow our work. The other enhancement for this implement is that it also offers a selling payment method but it can be done in a limited time with the reward management program. The one downside around this implement is that its multi-currency functionality is a little limiting but there are works around to make everything work. Stitch is very tough to follow a transaction through the consolidation process especially when we have to dealing with international entities it can be quite difficult to follow a transaction from initial entry through intercompany exchange rate but all the way try to the consolidated financial statements.

Stitch particular system could be personalized to the exact requirements of the business and it may be incorporated with a lot of other applications to make them a lot more effective. They are able to deposit into my account outside of normal pay day and adding more flexibility for speed to me receiving my reimbursement and reducing interest on my credit card. Stitch has the high level of customization that requires a lot of maintenance and it has a very specific skill set because it requires good developers to be useful in terms of functionality. Stitch is a very open and easy to get data in and out for users of all skill levels.

Stitch is totally self-serve, there's no relationship with account managers or customer success representatives needed. You can manage your entire ETL system from their UI. For the price and convenience, Stitch is amazing. I believe we've saved approximately $60k/year by using Stitch over one of their competitors that we initially talked to.

There's no option to do any filtering or transformation of data within Stitch, you have to do that on your end with a tool like DBT. Not a big deal - Stitch sends you everything and you get to modify your data from there.

Certain APIs such as Quickbooks do hard deletes of objects, and Stitch does incremental replication. This causes errors in your database, as you'll still have deleted objects with no indication that they were deleted on the source system.

We replicate data from Salesforce and several other tools into our data warehouse, making them available for everyone in our dashboarding tool. This saves user seats in those tools and liberates our data, creating a more transparent culture.

Stitch is totally self-serve, there's no relationship with account managers or customer success representatives needed. You can manage your entire ETL system from their UI. For the price and convenience, Stitch is amazing. I believe we've saved approximately $60k/year by using Stitch over one of their competitors that we initially talked to.

There's no option to do any filtering or transformation of data within Stitch, you have to do that on your end with a tool like DBT. Not a big deal - Stitch sends you everything and you get to modify your data from there.

Certain APIs such as Quickbooks do hard deletes of objects, and Stitch does incremental replication. This causes errors in your database, as you'll still have deleted objects with no indication that they were deleted on the source system.

What problems are you solving with the product? What benefits have you realized?

Out of the box integration with Shopify and other data sources directly into Google Big Query.

When I ran into issues the support was immediate and 100% to the point. This made it possible to fix the issue straight away. The pricing structure is also highly competitive.

The data structure that comes out of stitch is in the native nested table format for Big Query. This is confusing for first time users. It would be great if you could provide an example of a query that allows users to query sales from the Big Query Data that replicates standard Shopify reports.

Definitely worth using.

We are able to automatically extract date from over 20 different Shopify Stores across multiple brands and then roll this up in our data warehouse and visualisations. This is a huge time saver as we previously had to log into each Shopify store manually extract the data before processing it in spreadsheets.

Stitch was very easy to set up.

We needed to sync data from PostgreSQL to BigQuery and the documentation was to the point and very helpful.

The free tier has the capacity to let us test out different scenarios without paying or reaching out to get more "credits".

In the initial loads of tables with many million rows, the logs quickly get too large. Because of this, it would have been nice to have a filtering ability of sorts.

What problems are you solving with the product? What benefits have you realized?

Easy to use, affordable and with lots of integrations. Their team is very passionate about the product and offers several nice services with the Enterprise plan - currently not my plan, but very interesting given the price. It enables me to choose which columns I'll transfer and the pricing and billing is super transparent and fair. Also, very easy to find in Google, with great SEO. I typed 'etl from facebook ads to redshift' and it was the first result on search. The interface is super simple and user friendly, with no hidden stuff or confusing menus.

It does not enable me to execute a snippet of code to process the lines and does not allow me to choose the schema freely, as I have to stick to the standard columns. Also, uploading data into S3 is a little bit different than uploading data into a DB such as MySQL or PostgreSQL, as the objects that are created in S3 do not have a consistent schema, whereas in these databases they have.

Try to use some relational database, as it is easier to get all the data and some schema problems aren't present, unlike S3 - that gave me a few headaches in the past.

Loading data from third-party into our data lake. We realized that it is the fastest way to do it, so that I can focus on actually understanding the data and generating real value.

Really simple to use. Reasonable Pricing. Simple and reliable interface. The range of connectors is great and the setup for them is really simple. The free initial sync for newly set up connectors is also really really helpful.

Not great if you have multiple warehouses - the only approach that we managed to make work is by having multiple accounts.

Recommendations to others considering the product:

What problems are you solving with the product? What benefits have you realized?