DataOps Platforms Resources
Articles, Discussions, and Reports to expand your knowledge on DataOps Platforms
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, discussions from users like you, and reports from industry data.
DataOps Platforms Articles
What Is Happening in the Data Ecosystem in 2022
What is Data? Data is a valuable resource. Data is the next gold. Data is the new oil. Data is the brain of the company.
by Preethica Furtado
G2 Launches New Category for DataOps Platforms
Every transaction that we make creates data. From swiping your card while going grocery shopping, to closing a billion-dollar merger, each transaction creates several data points across the digital ecosystem. Although this is unstructured data, it's how we use these billions of data points to create and derive information that forms the underlying structure of data management and data science. Data value needs to be delivered to businesses as soon as possible, and converting this value into actionable insights is critical.
by Preethica Furtado
DataOps Platforms Discussions
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Question on: Census
How else are you using Census?Hey all, we have been using Census for a while and I wanted to ask around how else are you using Census today? We are using Census mainly as a reverse ETL tool, but how else are you using Census today?
Hey Nikolas,
Would love other Census users to chime in, but there are lots of use cases our customers use us for :)
In fact, we recently revamped our customer stories page so you can filter by use cases and integration to get inspired by how others are using Census. A good place to start would be filtering by destination tools that are used in your company, that are not already connected to Census: https://www.getcensus.com/customers#all-stories
Some of the most interesting use cases we see that go beyond “customer 360” are around:
* Product-qualified lead scoring - a great way to help the sales team prioritize leads from trials. Learn more at https://www.getcensus.com/blog/product-qualified-leads-pqls-the-data-backed-process-to-help-you-increase-revenue
* Automated personalized marketing to drive product adoption - This could be joining third party data or data from enrichment tools (e.g. Clearbit) to drive more adoption of your product. One of our customers Crossbeam use this to automatically recommend integrations to their customers inside their product: https://www.crossbeam.com/blog/how-we-use-partner-data-conversions-product-led-growth/
Hope that’s helpful and let us know if you had a specific team in mind that you wanted use cases for.
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Question on: Census
How to sync data from Snowflake to Salesforce.how do i sync data from Snowflake to Salesforce using Census.
Hey Shannel,
Thanks for the question. Syncing data from Snowflake to Salesforce is really simple with Census.
Here is a video showing the end to end flow: https://www.youtube.com/watch?v=cxGYb9U9ePk&ab_channel=Census
Here are the docs to follow: https://docs.getcensus.com/destinations/salesforce
At a high level the steps are:
1. Sign up for a free account of Census here: https://app.getcensus.com/ . Select “Sign up” tab.
2. Under “Connections” connect to your Snowflake instance. Instructions here: https://docs.getcensus.com/sources/snowflake
3. Then connect to your Salesforce instance https://docs.getcensus.com/destinations/salesforce
4. Create a Sync to send data from Snowflake to Salesforce. During the sync creation process you can choose what Snowflake fields you want to map to Salesforce fields.
If you need any help please don’t hesitate to reach out at support@getcensus.com and we’d be happy to walk you through it.
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Question on: Databricks Data Intelligence Platform
What are the features of Databricks?What are the features of Databricks?
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which compress the data to great extent.
Its easier to debug the ETL pipeline using notebooks as compared to traditional ETL pipeline created using SSIS or Informatica.
Data Migration or ETL pipeline executes faster as compared to other ETLs
The main features of Databricks include:
- Compliance
- End to end
- Notification and logs
- Jobs scheduler
- Access control
- Visualization
- Run notebook as job
- Integration
- Interactive exploration
- Secure deployment
- Notebook workflows
- Integrated identity management
- Collaboration
- Auditing
- Dashboard
- Databricks runtime
Delta Lake
Lakehouse platform
Schema evolution
Data quarantine & Data Quality
Data Integration & Transformations
DataOps Platforms Reports
Grid® Report for DataOps Platforms
Summer 2025
G2 Report: Grid® Report
Momentum Grid® Report for DataOps Platforms
Summer 2025
G2 Report: Momentum Grid® Report
Grid® Report for DataOps Platforms
Spring 2025
G2 Report: Grid® Report
Momentum Grid® Report for DataOps Platforms
Spring 2025
G2 Report: Momentum Grid® Report
Grid® Report for DataOps Platforms
Winter 2025
G2 Report: Grid® Report
Momentum Grid® Report for DataOps Platforms
Winter 2025
G2 Report: Momentum Grid® Report