Benchmark research, reports, and more.
Guide
Setting the data strategy for your growing organization
Everything you need to know about building a data-driven company.
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FAQ
Stitch FAQ
Quick answers to questions about Stitch and Singer.
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Benchmark
The State of Data Science
Just how many data scientists are there? How is the field changing?
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Guide
Getting Started with Stitch Enterprise
How Stitch Enterprise meets the data needs of your organization.
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Benchmark
The State of Data Engineering
Explore salaries, job growth, and skill sets of data engineers.
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Feature
MySQL vs. MariaDB: drop-in or diverging?
MariaDB started out as a fork of MySQL. A decade after its debut, how do the two databases differ?
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Feature
Understanding data replication and its impact on business strategy
Data replication stores the same data in multiple locations for faster access and improved system resilience.
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Feature
Business intelligence, data warehouses, and the cloud
Make faster, better decisions with business intelligence tools and a cloud data warehouse.
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Feature
Oracle Database: demystifying your data strategy
Accelerate your time to value with Oracle Database by replicating your data to a cloud warehouse.
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Feature
What is a data lake?
A data lake is a centralized repository of raw, untransformed enterprise data. Today, most data lakes are implemented on cloud-based storage platforms.
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Feature
OLTP and OLAP: a practical comparison
Online transaction processing (OLTP) captures, stores, and processes data from transactions. Online analytical processing (OLAP) analyzes data for insights.
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Feature
Why ELT is supplanting ETL and taking over the world
Cloud-based data warehouses and ELT deliver faster time to value than local hardware and ETL.
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Feature
Snowflake: a data warehouse to watch
Snowflake's cloud-based data warehouse allows storage and compute functions to scale independently.
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Feature
What is enterprise data management?
Enterprise data management refers to a set of processes and activities focused on data accuracy, quality, security, availability, and good governance.
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Feature
6 Redshift features that change the data warehouse game
Here's a look at six features that set Redshift apart from other cloud data warehouses.
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Feature
AWS S3 offers powerful features with minimal complexity
Amazon S3 is a cloud storage solution provided by Amazon Web Services, and is well suited for use as a data lake.
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Feature
MySQL: Get the best insights from your data, faster than ever
Drawing business insights from MySQL, the most popular open source RDBMS, requires an ETL solution.
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Feature
Azure SQL Database: Grow your potential in the cloud
Azure SQL Database is Microsoft’s cloud-based SaaS relational database service, which is managed for availability, durability, and scalability.
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Feature
What are data migration tools?
Agile, scalable cloud-based data migration tools handle rapidly changing business needs with pay-as-you-go pricing.
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Feature
Data ingestion: the first step to a sound data strategy
Data ingestion is the transportation of data from assorted sources to a storage medium where it can be accessed, used, and analyzed by an organization.
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Feature
Data warehouse: a foundation for business intelligence
Learn about the role of a data warehouse in improving data accessibility and enhancing decision-making.
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Feature
How to choose the right business intelligence tool
Stitch surveyed its customers to learn which business intelligence tools they use. These seven tools were mentioned most often.
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Feature
Snowflake vs. Redshift: choosing a modern data warehouse
These leading cloud data warehouses aren’t equally suited to all user needs.
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Feature
What is a data pipeline?
A data pipeline is a set of actions that ingests raw data from disparate sources and moves the data to a destination for storage, analysis, or business intelligence.
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Feature
What is data extraction?
Data extraction is the process of obtaining data from multiple sources, and moving it to a new destination designed to support online analytical processing.
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Feature
Database vs. data warehouse: differences and dynamics
An introduction to the key differences between databases and data warehouses, two components of a data pipeline.
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Keep up with Stitch news and feature releases.
A definitive guide to data definitions and trends.
More on working with data
Stitch has a variety of guides to help you learn how to get the data from your various databases, SaaS tools, and other technologies into your warehouse manually. See these sample guides on sending MySQL to Amazon Redshift, Google AdWords to Google BigQuery, Jira to Postgres, and Salesforce to Snowflake.