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Title Summary
Deleted Record Handling Stitch’s detection of deleted records depends on how records are deleted in the source and the Replication Method being used. In this guide, we explain the d…
Full Table Replication Full Table Replication is a replication method in which all rows in a table - including new, updated, and existing - are replicated during every replication …
Integration Schemas Learn how Stitch organizes the data replicated from your sources in your data warehouse.
Key-based Incremental Replication Key-based Incremental Replication is a replication method in which Stitch identifies new and updated data using a column called a Replication Key. This guide…
Loading Data into Your Stitch Destination Every destination handles data differently. Learn about what your destination supports, what it doesn’t, and how Stitch will load your data as a result.
Loading Reports Loading reports provide detail about the loading portion of the replication process for a given integration.
Log-based Incremental Replication Available for select database integrations, Log-based Incremental Replication is a replication method in which Stitch identifies modifications to records - i…
Missing Columns & NULL Values If you’ve noticed some missing columns or data from your data warehouse, the root cause may be NULL values.
Missing Tables & Columns If Stitch can’t detect databases or tables, you may need to double-check your user’s permission settings.
Monitoring Replication Progress It can be difficult to be patient when all you want is your data. In the Integration Details page for every integration, you can check out that integration’s…
Non-Replicating Data & Unsupported Data Types If a table isn’t replicating into your data warehouse, it may be because one or more of the columns in the table contains an unsupported data type.
Replicating Database Views Replicating a database view is almost the same as replicating a database table. In this guide, we’ll cover the database integrations that support views and t…
Replication Keys for Database Integrations Replication Keys are columns that Stitch uses to identify new and updated data for replication. These columns are one of the most important components of Sti…
Replication Keys for Mongo Integrations Replication Keys for Mongo integrations have their own set of quirks and gotchas, owing to how Mongo itself is designed. In this guide, we’ll explain what to…
Replication Methods Replication Methods define the approach Stitch takes when extracting data from a source during a replication job. Additionally, Replication Methods can also …
Replication Scheduling Create a replication schedule for your integration’s using Stitch’s Replication Frequency and Anchor Time features.
Selecting Data to Replicate After you connect an integration and Stitch performs a structure sync, the next thing you’ll do is select tables and columns to replicate.
Stitch Data Structure Resources for learning about how Stitch loads and organizes data into your destination.
Stitch Replication Process Learn how Stitch extracts, prepares, and loads your data during the replicaiton process.
Supported Data Types A full roll-up of the data types Stitch supports for replication.
Syncing Historical SaaS Data & Resetting SaaS Replication Keys By default, a historical replication job for most SaaS integrations will go back one year. While the Start Date setting allows you to define historical data …
Syncing New & Additional Columns on Already-Syncing Tables What happens when you add a brand-new column in a data source or you want to sync additional columns on an already-syncing table? How will your row count be …