Integrate Appsee to Amazon Redshift
Appsee enables mobile app publishers and developers to track, understand and improve the user experience in their apps, and act on insights delivered by our SaaS platform.
Integrate Appsee to Amazon Redshift
Popular Use Cases
Xplenty can extract any data that you need from Appsee. Here are some of our most popular use cases:
Track a variety of data related to events that happened during user sessions, such as the number of total events in a given period, the properties associated with those events and the number of occurrences of a specific property. This endpoint can also be used to signal when an event occurrence might warrant further examination of the video recording to see when and why it occurred.
Monitor how users interact with your screens, including how many times a screen was accessed, what types of gestures were used, and what screen was accessed next. This can give you a broader view of how your users interact with your app. Use this information to gauge the effectiveness of your screen designs and know which features are being used more or less frequently.
Get analytics data for your app, including the number of users that accessed it and the number of sessions that occurred. This data can be filtered by a set of parameters, including country, date, OS, device, and session duration.
Request data about a user’s session, which can be filtered by things like user ID, included events, device type and screen. Appsee will return any pertinent data and include information like the video URL, crashes that occurred and any other events that occurred during the session.
Retrieve data about your conversion funnels and sort it by parameters, including date range, app version, device and platform. Then, Appsee will return a list of steps in the funnel, along with how many users accessed that step and what their completion percentage was.
Why We Like Amazon Redshift
Redshift’s Massively Parallel Processing (MPP) allows it to run queries more quickly and efficiently than ever before.
Most of the analytic tools that companies use today are SQL, and Redshift is SQL compatible. That means that the platform can leverage your existing tools quickly and efficiently.
The warehouse is incredibly scalable and flexible - allowing you to scale from single 160GB nodes all the way up to 16TB nodes - which means that it’ll handle whatever changes your business may require.
Redshift has no up-front costs, no long-term commitments, and an on-demand pricing structure, making it one of the most cost-effective choices out there.
Xplenty helps us to extract data from different sources, modeling them to our needs and then loading them where we want, scheduling tasks on demand for automation. The abstractions make it easier to work with, even to people with more knowledge on tech. Aside from that, their support is very good, and this makes a big difference for all levels of users and companies.
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.
Xplenty and Amazon Redshift
Xplenty's data integration service can read data from and write data to Amazon Redshift securely and easily, allowing users to transform and load data directly from any data store into an Amazon Redshift instance. Xplenty can also be used to offload ETL workload from Redshift, allowing each platform to do what it does best: Xplenty for data integration and data preparation and Amazon Redshift for real-time querying.