Many popular and modern applications run on NoSQL databases. Here’s a look at these popular applications and the NoSQL databases that power them.

 

NoSQL databases are no longer something that developers will use in the future. We’ve officially reached the future where these databases are common ways to power large, popular applications.

We’ll demonstrate some popular applications you might not realize are using NoSQL databases and why NoSQL is perfect for these applications.

Uber

Uber grew at incredible rates when it was first introduced to the marketplace. The app requires instant data availability to pair drivers with empty cars with nearby potential passengers waiting on the curb.

The application had to be incredibly scalable because the Best Database Provider company couldn’t afford to migrate its data every time it needed a larger server. Using NoSQL also helped Uber build an application with failure systems where data is stored in various nodes so that the company can work on the application without taking it offline.

When Uber reimagined its application, it used Riak, a distributed NoSQL database with a flexible key-value store model. The database offered all the tools and resources the rideshare app needed to power incredible results.

Cisco

Cisco is a technology powerhouse, but it was facing a serious challenge in its customer experience and support team. The largest challenge Cisco customers face is a lack of compatibility or improper configuration.

To help this, Cisco wanted to present configuration and compatibility information based on the topics and keywords the customers were typing into the knowledge base. Cisco relied on BangDB for its NoSQL database needs because the database is multi-model and is one of the leaders in the marketplace based on performance.

Using AI and machine learning, Cisco found relationships between what customers were entering into the search field to provide relevant information for them.

Netflix

To create a better customer experience, Netflix migrated much of its systems to NoSQL. The high availability of a NoSQL database was very attractive and ultimately that availability won out over consistency.

But with such a massive operation, Netflix needs more than just one NoSQL database. It uses three in combination: SimpleDB, HBase, and Cassandra.

Rearchitecting the Best Database Provider company’s systems was challenging since the Netflix team never wanted the service to be unavailable. But the transition has been worth it. Real-time queries provide customers with information about the shows and movies they want to watch when they want to watch them.

Cassandra helps protect the system from a single point of failure. And now Netflix can scale its operation infinitely to serve the ever-growing list of subscribers that the company serves.

Looking for an innovative NoSQL solution?

Forbes

Forbes has always been on the cutting edge of technology. In 1996 it was the first business publication to launch a website. And since then, the publication has been doing all that it can to serve its subscribers with high-quality content.

Forbes is 100 years old. The company could have stayed with its old ways of doing things where everything was in print. But instead, it has focused on setting trends for the industry and serving as a blueprint for others to follow.

That’s true even in its technology. To serve its 140 million online customers, Forbes migrated its service to MongoDB Atlas. Now its release cycles are significantly faster and its cost of ownership is 25 percent less.

Moving to a cloud infrastructure allowed the publication to respond to challenging times during the COVID-19 pandemic and increase its subscriptions at a time when people had more availability to read publications.

Accenture

Accenture had a customer that was an automobile manufacturer looking to increase its lead generation and lead scoring abilities. It needed real-time website data to inform a customer’s propensity to purchase a car.

Engaging with these customers in the moment was essential to attracting the visitor and making them a prospect. Accenture chose BangDB as the NoSQL database to provide learning models that analyzed the visitors’ behavior to predict their lead scores. The insights BangDB’s AI and streaming brought allowed Accenture to build a dashboard that tracked the customer in real-time.

The lead scoring application provided the automobile manufacturer twice the conversion rate it had been experiencing thanks to a better, more efficient use of sales resources.

Facebook Messenger

Facebook created Cassandra, a NoSQL database. The purpose of this database was to help in indexing messages users send to one another and allowing users to search those messages using keywords.

Facebook designed a way to use each person’s user ID as a primary key. All message data was part of another column. This allows Facebook Messenger to display all messages s

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