A new database has joined Cognetik Data Streams’ destinations library: MongoDB.

Roman writer Vitruvius wrote that Archimedes was enjoying a bath when he realized that as he stepped into his tub, his body mass displaced a certain weight of water. The scientist is said to have jumped out of the bath and run naked through the streets of Syracuse in Sicily shouting: “Eureka, Eureka!” (“I have found it!”). While some doubt exists on the authenticity of Archimedes’ story, our brand new destination connector to MongoDB came out of a small Eureka moment too. While looking for a solution to a specific request, one of our engineers ended up building a MongoDB connector. And since we love giving back to the community, here it is!
The addition of MongoDB is truly a joyful win to our engineering and analyst teams, as complex data migration steps are a frequent drawback to using MongoDB to its full potential.
We’re excited to see that, with the MongoDB Destination Connector within Data Streams, it takes less than 5 minutes to set-up a migration stream. This will work with migrating clickstream or advertising data, as well as Big Query, Microsoft SQL, MySQL, PostgreSQL, RedShift, Snowflake or Teradata warehouses to MongoDB.

Use cases for a MongoDB migration

We’ve experienced first hand some cases in which industry practitioners needed an easy way to import data into MongoDB:


The main advantages of using Cognetik Data Streams’ MongoDB connector are:



Common MongoDB applications

MongoDB launched as an open source Non-Relational database meant to help developers spend more time on enabling and enhancing their existing apps, and less time on handling data schemas. Over time, it proved to allow faster time to market and lower costs of ownership.

Often times, MongoDB acts as a complement to relational databases – not as a drop-in replacement.
As MongoDB’s explains in its customers’ page, a non-relational database has a wide array of applications:

In the case of e-commerce website development, its benefits are a faster time to market, more time on front-end, less on back-end, allowing developers and users to be more empowered, faster performance (reads and writes)  and thus a superior user experience, as well as better scalability, since the database can meet evolving business needs

What did analysts use before the newly launched Cognetik’s Data Streams connector for MongoDB?


To all these alternatives, we are excited to bring Data Streams as a cost-effective, 5-minute set-up solution!
Give it a try immediately with the Individual Data Streams Package.
Or read our full product release in our release notes.
We’d be greatly encouraged by you spreading the word of our new connector and your experience with Data Streams, on LinkedIn, Twitter, Facebook.