Capsule to Heroku Postgres

Copy (ELT) Capsule data to Heroku Postgres in a few clicks and keep it up to date automatically.

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Connect Capsule to Heroku Postgres in 3 Steps

Step 1
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Create connections to Capsule and Heroku Postgres from your Skyvia account. Sign up for free if don't have an account yet.

Step 2
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If needed, configure replication settings — exclude certain fields, change table naming, apply data hashing, add filters for data.

Step 3
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Configure scheduling and run replication every month, week or day, at specific time or recurrently at any interval, up to once per minute.

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View all the integration runs for any period, get email notifications and detailed per-record error logs in case of errors to help you be aware of the situation.

Connect Capsule to Heroku Postgres in 3 Steps

Step 1
Create connections to Capsule and Heroku Postgres from your Skyvia account. Sign up for free if don't have an account yet.
Step 2
If needed, configure replication settings — exclude certain fields, change table naming, apply data hashing, add filters for data.
Step 3
Configure scheduling and run replication every month, week or day, at specific time or recurrently at any interval, up to once per minute.
View all the integration runs for any period, get email notifications and detailed per-record error logs in case of errors to help you be aware of the situation.
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step-2
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Easy-to-use ELT Tool

Skyvia's Replication is an easy-to-use ELT tool that lets you set up Capsule replication to Heroku Postgres in several minutes. It allows you to copy Capsule objects (including Cases, Categories, Entries, Milestones, Opportunities, Tasks, etc.) to Heroku Postgres and keep the copy up to date.

Powerful Replication Features

Automatic Schema Creation and Update

You don’t need to prepare the Heroku Postgres database — Skyvia creates the tables, corresponding to the Capsule objects, in the data warehouse automatically. Besides, it can automatically modify target Heroku Postgres tables according to new fields added in Capsule.

Complete or Partial Replication

With Skyvia you can extract and load all the data from a Capsule object or disable loading for some Capsule object fields. You can also configure filters for data to replicate.

Data Hashing

Skyvia allows you to hash sensitive data, like names and emails. You can conceal personally identifiable information for better compliance and preserve analytical value of replicated data at the same time.

Change Data Capture

Skyvia not just copies Capsule data to Heroku Postgres once, it can keep your Heroku Postgres database up-to-date with Capsule automatically, ensuring you always have fresh data for data analysis without any user intervention.

History Mode

History mode allows you to store all versions of Capsule records in your Heroku Postgres database instead of keeping only the current versions. You can select the mode for each object separately.

Flexible Table Naming

By default, target tables are named in the same way as source objects. Skyvia offers settings that allow you to change target table names — for all Capsule objects in the integration or for each one separately. This is especially useful if you load several Capsule instances into the same Heroku Postgres database, and want to use separate tables for them.

Optimized Data Loading

Skyvia combines a high-performance optimized batch data loading into Heroku Postgres with a granular, per-record data insertion and error logging in case of any errors.

True ETL Tools

If you need more than just to copy data from Capsule to Heroku Postgres, you may use Skyvia's powerful ETL functionality for Capsule and Heroku Postgres integration. Skyvia's Import tool will correctly extract Capsule data, transform it, and load to Heroku Postgres when Heroku Postgres tables have different structure than Capsule objects. Moreover, Skyvia Import allows loading data in any direction, supporting Reverse ETL scenario.

For more complex cases, you can use Data Flow and Control Flow tools. They are designer-based solutions for creating complex data pipelines, involving not only Capsule and Heroku Postgres connectors, but any number of connectors in one integration. With these tools you can automate data workflows, involving custom logic, complex multistage transformations, combine data from different sources, load them into multiple destinations at once and many more.

Automation and Monitoring

Flexible Scheduling

Use flexible scheduling settings to automate replication

Detailed Logging

You can find detailed logs for each execution in the package Run History.

Email Notifications

Enable email notifications and always know if anything goes wrong.

Why Customers Choose Skyvia

A data platform with a wide choice of tools and flexible pricing that has a solution for nearly any data integration scenario.

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Easy to use

No-coding visual configuration allows both IT professionals and business users use Skyvia to integrate their data.

100% cloud

Access Skyvia from anywhere, only web browser required. No local installations and up-front investments.

Flexible Pricing

Skyvia pricing depends on the features you need and data volumes you load. Companies of any size can find a suitable plan.

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Ready to get started?

Integrate Capsule and Heroku Postgres data with minimal effort with Skyvia.

FAQs

Skyvia allows scheduling integrations up to once per minute. It offers advanced scheduling settings, allowing you to run integrations on specific weekdays, within a specific timeframe, etc. You can create almost any kind of schedule you need.
Data integration can make your organization more efficient. It improves data integrity and quality, allows better collaboration and allows making better business decisions.
Skyvia offers data pipeline designer tools like Data Flow and Control Flow that allows including more than two data sources at once. In addition to Capsule and Heroku Postgres, Skyvia supports over 180 connectors.
Skyvia has a free pricing plan with basic features for all its products. Free Data Integration plan includes 10 000 records per month for import and export tools.