How to load data from Chartmogul to MS SQL Server

Learn how to use Airbyte to synchronize your Chartmogul data into MS SQL Server within minutes.

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Set up a Chartmogul connector in Airbyte

Connect to Chartmogul or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up MS SQL Server for your extracted Chartmogul data

Connect to Chartmogul or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Configure the Chartmogul to MS SQL Server in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

set up Chartmogul as a source connector (using Auth, or usually an API key)
set up MS SQL Server as a destination connector
define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Chartmogul

ChartMogul is an analytics platform to assist you run your subscription business. You get a complete overview of your global subscriber base; MRR, ARPU, ASP, churn and LTV are presented in a beautiful and easy to use dashboard. ChartMogul is a real time reporting and analytics solution for subscription businesses who use Stripe, PayPal, Chargify, Braintree, or Recurly. ChartMogul is an analytics platform to assist you run your subscription business. ChartMogul is a subscription analytics tool that provides real-time reporting on the most critical metrics.

What is MS SQL Server

Microsoft SQL Server is a relational database management (RDBMS) built by Microsoft. As a database server, its primary function is to store and retrieve data upon the request of other software applications, either from the same computer or a different computer across a network—including the internet. To serve the needs of different audiences and workload sizes, Microsoft offers multiple editions (at least 12) of its Microsoft SQL Server.

Integrate Chartmogul with MS SQL Server in minutes

Try for free now

Prerequisites

A Chartmogul account to transfer your customer data automatically from.
A MS SQL Server account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Chartmogul and MS SQL Server, for seamless data migration.

When using Airbyte to move data from Chartmogul to MS SQL Server, it extracts data from Chartmogul using the source connector, converts it into a format MS SQL Server can ingest using the provided schema, and then loads it into MS SQL Server via the destination connector. This allows businesses to leverage their Chartmogul data for advanced analytics and insights within MS SQL Server, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Chartmogul as a source connector

1. First, navigate to the Chartmogul source connector page on Airbyte.com.
2. Click on the "Add Source" button to begin the process of adding your Chartmogul credentials.
3. Enter a name for your Chartmogul source connector.
4. Enter your Chartmogul account token in the "API Token" field. You can find your API token in your Chartmogul account settings.
5. Enter your Chartmogul account secret key in the "Secret Key" field. You can find your secret key in your Chartmogul account settings.
6. Click on the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your Chartmogul account.
7. If the test is successful, click on the "Save" button to save your Chartmogul source connector.
8. You can now use your Chartmogul source connector to create a new Airbyte pipeline or add it to an existing pipeline.
9. When creating a pipeline, select your Chartmogul source connector as the source and select the destination connector that you want to use.
10. Follow the prompts to configure your pipeline and start syncing your data between Chartmogul and your destination.

Step 2: Set up MS SQL Server as a destination connector

1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Scroll down until you find the "MSSQL - SQL Server" connector and click on it.
3. Click on the "Create new destination" button.
4. Fill in the required information, including the destination name, host, port, database name, username, and password.
5. Click on the "Test connection" button to ensure that the connection is successful.
6. Once the connection is successful, click on the "Save" button to save the destination.
7. Navigate to the "Sources" tab on the left-hand side of the screen and select the source that you want to connect to the MSSQL - SQL Server destination.
8. Click on the "Create new connection" button.
9. Select the MSSQL - SQL Server destination that you just created from the drop-down menu.
10. Fill in the required information for the source, including the source name, host, port, database name, username, and password.
11. Click on the "Test connection" button to ensure that the connection is successful.
12. Once the connection is successful, click on the "Save" button to save the connection.13. You can now start syncing data from your source to your MSSQL - SQL Server destination.

Step 3: Set up a connection to sync your Chartmogul data to MS SQL Server

Once you've successfully connected Chartmogul as a data source and MS SQL Server as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Chartmogul from the dropdown list of your configured sources.
Select your destination: Choose MS SQL Server from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Chartmogul objects you want to import data from towards MS SQL Server. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Chartmogul to MS SQL Server according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your MS SQL Server data warehouse is always up-to-date with your Chartmogul data.

Use Cases to transfer your Chartmogul data to MS SQL Server

Integrating data from Chartmogul to MS SQL Server provides several benefits. Here are a few use cases:

Advanced Analytics: MS SQL Server’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Chartmogul data, extracting insights that wouldn't be possible within Chartmogul alone.
Data Consolidation: If you're using multiple other sources along with Chartmogul, syncing to MS SQL Server allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Chartmogul has limits on historical data. Syncing data to MS SQL Server allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: MS SQL Server provides robust data security features. Syncing Chartmogul data to MS SQL Server ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: MS SQL Server can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Chartmogul data.
Data Science and Machine Learning: By having Chartmogul data in MS SQL Server, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Chartmogul provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to MS SQL Server, providing more advanced business intelligence options. If you have a Chartmogul table that needs to be converted to a MS SQL Server table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Chartmogul account as an Airbyte data source connector.
Configure MS SQL Server as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Chartmogul to MS SQL Server after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

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How to Sync Chartmogul to MS SQL Server Manually

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Databases

Product Analytics

How to load data from Chartmogul to MS SQL Server

Learn how to use Airbyte to synchronize your Chartmogul data into MS SQL Server within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

TL;DR

What is Chartmogul

What is MS SQL Server

Prerequisites

Step 1: Setup Chartmogul

Step 2: Setup MS SQL Server

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Chartmogul and MS SQL Server

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Chartmogul as a source connector (using Auth, or usually an API key)
set up MS SQL Server as a destination connector
define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Chartmogul

What is MS SQL Server

Integrate Chartmogul with MS SQL Server in minutes

Try for free now

Prerequisites

A Chartmogul account to transfer your customer data automatically from.
A MS SQL Server account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Step 1: Set up Chartmogul as a source connector

Step 2: Set up MS SQL Server as a destination connector

Step 3: Set up a connection to sync your Chartmogul data to MS SQL Server

Once you've successfully connected Chartmogul as a data source and MS SQL Server as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Chartmogul from the dropdown list of your configured sources.
Select your destination: Choose MS SQL Server from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Chartmogul objects you want to import data from towards MS SQL Server. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Chartmogul to MS SQL Server according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your MS SQL Server data warehouse is always up-to-date with your Chartmogul data.

Use Cases to transfer your Chartmogul data to MS SQL Server

Integrating data from Chartmogul to MS SQL Server provides several benefits. Here are a few use cases:

Advanced Analytics: MS SQL Server’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Chartmogul data, extracting insights that wouldn't be possible within Chartmogul alone.
Data Consolidation: If you're using multiple other sources along with Chartmogul, syncing to MS SQL Server allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Chartmogul has limits on historical data. Syncing data to MS SQL Server allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: MS SQL Server provides robust data security features. Syncing Chartmogul data to MS SQL Server ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: MS SQL Server can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Chartmogul data.
Data Science and Machine Learning: By having Chartmogul data in MS SQL Server, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Chartmogul provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to MS SQL Server, providing more advanced business intelligence options. If you have a Chartmogul table that needs to be converted to a MS SQL Server table, Airbyte can do that automatically.