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Snowflake
Snowflake

107
73
+ 1
0
Stitch
Stitch

55
41
+ 1
9
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Snowflake vs Stitch: What are the differences?

What is Snowflake? The data warehouse built for the cloud. 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)鈥攏o infrastructure to manage and no knobs to turn.

What is Stitch? All your data. In your data warehouse. In minutes. 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.

Snowflake and Stitch can be categorized as "Big Data as a Service" tools.

Instacart, HousingAnywhere, and Auto Trader are some of the popular companies that use Snowflake, whereas Stitch is used by HousingAnywhere, Kalibrr, and Firecracker. Snowflake has a broader approval, being mentioned in 29 company stacks & 11 developers stacks; compared to Stitch, which is listed in 22 company stacks and 4 developer stacks.

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What is Snowflake?

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)鈥攏o infrastructure to manage and no knobs to turn.

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.
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Why do developers choose Snowflake?
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        What companies use Snowflake?
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        What tools integrate with Snowflake?
        What tools integrate with Stitch?

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        What are some alternatives to Snowflake and Stitch?
        MySQL
        The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
        Cassandra
        Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
        Amazon Redshift
        It is optimized for data sets 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
        It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
        See all alternatives
        Decisions about Snowflake and Stitch
        Ankit Sobti
        Ankit Sobti
        CTO at Postman Inc | 10 upvotes 72K views
        atPostmanPostman
        dbt
        dbt
        Amazon Redshift
        Amazon Redshift
        Stitch
        Stitch
        Looker
        Looker

        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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        Snowflake
        Snowflake
        Google BigQuery
        Google BigQuery

        I use Google BigQuery because it makes is super easy to query and store data for analytics workloads. If you're using GCP, you're likely using BigQuery. However, running data viz tools directly connected to BigQuery will run pretty slow. They recently announced BI Engine which will hopefully compete well against big players like Snowflake when it comes to concurrency.

        What's nice too is that it has SQL-based ML tools, and it has great GIS support!

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        Interest over time
        Reviews of Snowflake and Stitch
        How developers use Snowflake and Stitch
        Avatar of Flux Work
        Flux Work uses SnowflakeSnowflake

        Data warehouse solution that fully separates compute and storage. Better management facility than directly using S3.

        How much does Snowflake cost?
        How much does Stitch cost?
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