Purpose:
The purpose of this is to add all required FAQs to put on sprngy website with categories defined.
Below is the list of categories that I can think of:
General
Technical
Support/contact related
General
What use cases does Sprngy cover?
Sprngy is a unified platform to provide Data Life Cycle Management features on the cloud. It includes data import, data profiling, data curation, data correlation and data analysis through visualizations through predictions. Sprngy can work with structured, semi-structured and unstructured data. With its Admin interface and model-driven architecture, managing the data lifecycle and adapting to business changes is hassle-free.
What benefits does Sprngy deliver?
Often, data scientists end up spending a lot of time in manual or administrative tasks like preparing the data for analysis. Their time should be spent on identifying business insights to continue to provide competitive advantage to their organizations. Sprngy automates the underlying data life cycle management to ensure data scientists’ time is well spent. Additionally, Sprngy provides:
Bring Data from anywhere: With built-in connectors to leading platforms and data sources, importing data was never easier!
Get started in minutes: With its model-driven architecture, data pipelines can be set up in minutes.
Everyone is a data scientist: Sprngy uses a low-code approach making it easy for anyone to set up, use and troubleshoot the application.
Deep Dive troubleshooting: Built in auditing and monitoring features provide diagnostics at each step of the way and forward and backward traceability.
Adapt to changes, quickly and easily: Rule-based processing ensuring Changes can be incorporated in near real-time and easily.
Optimize cloud spend: Optimize cloud spend by leveraging the auto start/stop configuration on the cloud.
These benefits lead to low Total Cost of Ownership, low barrier to user adoption and maximizing time spent on more valuable activities.
What are the key features of Sprngy?
Sprngy is built to ensure data scientists can go from raw data to meaningful insights quickly and hassle-free. Sprngy provides the following features to enable that goal:
Ingest: built-in connectors for leading CRM, Cloud, Social Media, Marketing and RDBMS platforms as well as features to create custom connectors.
Curate: Intuitive UI interface to provide data definition, annotations and rules to get to pristine data easily.
Correlate: Create algorithms to identify trends, patterns and business drivers specific to your industry.
Analyze: Built-in visualization layer to review correlated business data as well as audit logs to monitor the application.
Predict: Features to build models to make predictions.
Who are the potential customers for Sprngy?
Sprngy’s intuitive interface makes it easy to administer, operate and troubleshoot the platform. It is a low-code solution designed to lower the adoption barriers for users across roles, experience and technical expertise. This makes Sprngy ideal for organizations of any size, scale or data and technical maturity to adopt Sprngy.
What’s the difference between Data warehouse and a data lakehouse?
There are several differences between a data lake and a data warehouse. Data structure, ideal users, processing methods, and the overall purpose of the data are the key differentiators
Storage Data Type : Data warehouse Works well with structured data whereas data lakehouse can handle structured, semi-structured, and unstructured data
Purpose : Data warehouse is optimal for data analytics and business intelligence (BI) use-case while data lakehouse is suitable for both data analytics and machine learning workloads
Cost : Data warehouse is costly and time-consuming and data lakehouse is cost-effective, fast, and flexible
My data resides in another system. How do I get it into Sprngy?
Sprngy provides a wide array of connectors to facilitate data import. These include:
RDBMS (MySQL, Oracle, SQLite, MySQL Server etc.)
Any cloud storage (Azure data lake, Google Storage, AWS S3 bucket)
Any cloud file systems (Google drive, OneDrive, Dropbox)
CRMs (Salesforce, HubSpot, ZOHO, Microsoft Dynamics)
Marketing (Mailchimp)
Sprngy platform is extensible to support custom connectors. Please contact the support team for additional details.
I made an error while designing my models. How easy is it to correct that while maintaining data integrity?
It’s easy to do through the adminUI. There’s an edit option available for each kind of model. AdminUI can be accessed after signing up for Sprngy.
How technical do I need to be to use Sprngy?
Sprngy is a low-code platform. The AdminUI is simple to understand and use. It is important that each user has a strong understanding of the datasets they are going to use. For users writing models or algorithms, programming skills are required.
Where can I find Product documentation?
Once users sign up for the product, they will get detailed instructions and links to the required documentation.
How Sprngy is different from other companies providing similar solutions?
Sprngy is a unified platform capable of data ingestion, storage and reporting, but also is a platform providing you with algorithms and models to innovate your business at scale and speed required.
Can Sprngy platform be customized?
Yes, Sprngy is a scalable and extensible platform and allows for customizations to cater to specific market, industry and organization needs.
Technical
What to do when the website/server is down?
Please drop an email to support@sprngy .com with the issues you are facing with detailed description / screenshots
What to do when azure resources are not available or not working?
Please drop an email to support@sprngy .com with the issues you are facing with detailed description / screenshots. Support will get back to you asap.
One of my users has lost her password and can’t login. What’s the best way to get her a new password?
For now, just delete that user and create a new user with a new password since forgot password functionality is not available or drop an email to support@mysppringy.com for more information.
Does Sprngy provide auto start/stop features so that I can optimize my cloud spend?
Yes, it does. Once a user signs up for Sprngy, then that user will get detailed information/ documentation on how to achieve that and Sprngy’s technical team works with the user if there is any need.
How can I change the auto start/stop timings?
Once user signs up for the platform, user will get an access on cloud and documentation to change the timings
What type of data does Sprngy manage?
Sprngy can manage structured, semi-structured, and unstructured data.
What are the different file formats Sprngy supports?
To bring data in Sprngy platform, it supports all different types of connectors to import the data from your source systems. One important thing to note here is that once the data is in Sprngy platform, the data is going to be saved as .parquet file format.
Support
What’s the point of contact for any kind of issues related to resources?
Drop an email to support@sprngy .com or fill out a contact form from sprngy ’s website. You will hear from the support team soon.
What’s the point of contact regarding payment/subscription related issues?
Drop an email to finance@sprngy .com or fill out a contact form from sprngy ’s website. You will hear from the support team soon.
Can I bring my own Azure Subscription to use Sprngy?
This feature is not available in this release. If someone wants to do this then they need to work with Sprngy for the customization and build an infrastructure in your own Azure Subscription.
I have enjoyed the trial and I am ready to upgrade. What are the steps to upgrade?
If you are happy with the product and want to continue then you don’t need to do anything. Once the trial period ends, it’s going to subscribe automatically for your desired plan.
How do I cancel my subscription?
To cancel your subscription, you need to sign in and you will see the option to cancel the subscription under your profile.