Integrate Google Cloud Spanner to ChartMogul
Google Spanner is a Google Cloud-based database system that is ACID compliant, horizontally scalable, and global. Spanner is the database that underpins much of Google’s own data collection, and it has been designed to offer the consistency of a relational database along with the freedom of a non-relational one.
Integrate Google Cloud Spanner to ChartMogul
Why We Like Google Cloud Spanner
To help facilitate high availability, Spanner includes automatic synchronous replication, which allows for your data to always be up-to-date while still being as consistent as it would be with a traditional relational database.
Just like with any relational database, Spanner can handle SQL queries and schemas, and it even supports an array of languages. Spanner also facilitates the dataflow for the likes of Adwords and Gmail, so it’s built to meet your business needs no matter how globally-reaching your company is.
Since Google developed Spanner for its own global use, it has a built in global functionality, which allows spanner to scale to fit your needs. Your data can be stored on five nodes in one region or two hundred thousand nodes scattered around the world. This means your data is available whenever and wherever you need it.
Xplenty and Google Cloud Spanner
Xplenty supports a range of data stores through Google Cloud that integrate well with Spanner, but we also can provide you with the ability to move data from non-Google Cloud-based data stores as well. You may want to move data from a legacy data store to Spanner, because you want to take advantage of its increased consistency and scalability, and Xplenty can help with that. Or maybe you have a number of data sources that all need to be merged and moved into Spanner. Xplenty can handle that, too. We can also pull data down from Spanner, transform it, merge it, and then store it anywhere you like. Our wide variety of data integrations and our simple cloud-based service allows you to take full advantage of the convenience a scalable database like Google Spanner affords. So Spanner’s ability to both protect the integrity of the data and provide horizontal scalability is especially compatible with our product functionality.
Popular Use Cases
Xplenty can extract any data that you need from ChartMogul. Here are some of our most popular use cases:
Gather data about your subscription plans - like the subscription IDs, names, billing intervals, and the number of intervals that are charged at once - to evaluate the performance of each plan. This will help you better understand the effectiveness of your plans so that you can determine which ones are more or less successful as a whole.
Create, retrieve, or update data for new or imported customers in ChartMogul. This allows you to see important customer contact details, customer IDs, and valuable performance data including a customer’s MRR, ARR, and industry sector. You can then use that data to better segment your customers, which can provide more accurate and specific information about your business performance.
Import invoice data for customers that you are tracking through ChartMogul, including customer IDs, dates of purchase, transactions, and any relevant line items. Then, use ChartMogul to create subscription data for those customers and use that data to track more specific revenue data, both in ChartMogul and in your other data sources.
Track payments or refunds made on an invoice to see the transaction ID, type of transaction, transaction date, and whether or not the transaction was successful. This can help you get more accurate analytics from your invoice data. It can also indicate when there is an unusually high number of refunds, which could signal a problem worth addressing.
Get a list of subscriptions that ChartMogul has automatically generated from invoice data. This endpoint returns several IDs - including subscription IDs, customer IDs, plan IDs, and data source IDs - that will help you to more easily track and integrate data between any of those parameters to create deeper, more accurate business analytics.
Use tags to track terms that are associated with a customer so that you can segment or monitor them more specifically. For example, you could tag a particular customer as “high priority,” “returning” or anything else that is relevant to your business, and then retrieve a list of customers who have been tagged with those attributes in order to analyze them as a segment.
Update customer data with custom attributes that are more specific to the needs of your company. This can include both tags as well as more complex custom attributes. Then, track those attributes in ChartMogul to get analytics that are focused on your particular business concerns.
Why Our Customers Choose Xplenty
We take ownership of your data pipelines. That means that our platform will ensure that your data continues to flow and that your pipelines won’t break - and, if they do break, it’s our problem, not yours. So rest easy knowing that Xplenty has got you covered.
Xplenty offers you full flexibility when it comes to how much control you have over the process of data integration. That means that you choose exactly what data will be delivered, how it’s going to be delivered, and when.
Ease of Use
You don’t have to be tech-savvy to use Xplenty. There’s no code, no engineering and no need to worry about messing up your data delivery.
Data integration used to be the domain of IT, data developers and BI. Xplenty changes all of this, allowing every team within a company - marketing, sales, product, finance, HR, etc. - to use the platform to power their analytics and gain important business insights.