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What is Stitch?

Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.
Stitch is a tool in the Big Data as a Service category of a tech stack.

Who uses Stitch?

27 companies reportedly use Stitch in their tech stacks, including Kalibrr, Firecracker, and Housing Anywhere.

22 developers on StackShare have stated that they use Stitch.

Stitch Integrations

Google Analytics, MySQL, PostgreSQL, MongoDB, and Amazon S3 are some of the popular tools that integrate with Stitch. Here's a list of all 67 tools that integrate with Stitch.

Why developers like Stitch?

Here’s a list of reasons why companies and developers use Stitch
Stitch Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose Stitch in their tech stack.

Ankit Sobti
Ankit Sobti
CTO at Postman Inc · | 10 upvotes · 52.2K views
Amazon Redshift
Amazon Redshift

Looker , Stitch , Amazon Redshift , dbt

We recently moved our Data Analytics and Business Intelligence tooling to Looker . It's already helping us create a solid process for reusable SQL-based data modeling, with consistent definitions across the entire organizations. Looker allows us to collaboratively build these version-controlled models and push the limits of what we've traditionally been able to accomplish with analytics with a lean team.

For Data Engineering, we're in the process of moving from maintaining our own ETL pipelines on AWS to a managed ELT system on Stitch. We're also evaluating the command line tool, dbt to manage data transformations. Our hope is that Stitch + dbt will streamline the ELT bit, allowing us to focus our energies on analyzing data, rather than managing it.

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Ajit Parthan
Ajit Parthan
CTO at Shaw Academy · | 1 upvotes · 2.5K views
atShaw AcademyShaw Academy

Multiple systems means there is a requirement to cart data across them.

Started off with Talend scripts. This was great as what we initially had were PHP/Python script - allowed for a more systematic approach to ETL.

But ended up with a massive repository of scripts, complex crontab entries and regular failures due to memory issues.

Using Stitch or similar services is a better approach: - no need to worry about the infrastructure needed for the ETL processes - a more formal mapping of data from source to destination as opposed to script developer doing his/her voodoo magic - lot of common sources and destination integrations are already builtin and out of the box Stitch

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Stitch's Features

  • Connect to your ecosystem of data sources - UI allows you to configure your data pipeline in a way that balances data freshness with cost and production database load
  • Replication frequency - Choose full or incremental loads, and determine how often you want them to run - from every minute, to once every 24 hours
  • Data selection - Configure exactly what data gets replicated by selecting the tables, fields, collections, and endpoints you want in your warehouse
  • API - With the Stitch API, you're free to replicate data from any source. Its REST API supports JSON or Transit, and recognizes your schema based on the data you send.
  • Usage dashboard - Access our simple UI to check usage data like the number of rows synced by data source, and how you're pacing toward your monthly row limit
  • Email alerts - Receive immediate notifications when Stitch encounters issues like expired credentials, integration updates, or warehouse errors preventing loads
  • Warehouse views - By using the freshness data provided by Stitch, you can build a simple audit table to track replication frequency
  • Scalable - Highly Scalable Stitch handles all data volumes with no data caps, allowing you to grow without the possibility of an ETL failure
  • Transform nested JSON - Stitch provides automatic detection and normalization of nested document structures into relational schemas
  • Complete historical data - On your first sync, Stitch replicates all available historical data from your database and SaaS tools. No database dump necessary.

Stitch Alternatives & Comparisons

What are some alternatives to Stitch?
Amazon Redshift
Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
Google BigQuery
Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.
Amazon EMR
Amazon EMR is used in a variety of applications, including log analysis, web indexing, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics. Customers launch millions of Amazon EMR clusters every year.
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
Cloudera Enterprise
Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts.
See all alternatives

Stitch's Followers
36 developers follow Stitch to keep up with related blogs and decisions.
Tharunkumar V
Ives Stoddard
Pete Doyle
James  John
Nishchit Dhanani