BookMyShow Continues to Lead Online Entertainment Ticketing in India and Scales to 25 Million Users with MongoDB

India's twin passions for cinema and tech make it a natural fit for automated ticketing. But if ever a market needs scalable solutions, this 1.4 billion-strong nation is it.

That’s a lesson Viraj Patel, VP Technology for BigTree Entertainment, learned the hard way. "We started out in ticketing distribution in 1999 using telephones," he says, "before mobile platforms and internet access were on the scene. It just didn't work. The investors pulled the plug in 2002.”

Undeterred, the company successfully pivoted to selling software to cinema chains. By 2006, Viraj and team were ready to aim for the big prize again. They just needed the right tools. With the internet and mobile data fitting into place, a trial project in online ticket aggregation looked promising enough for investors to fund the launch of BookMyShow in 2007.

“We launched with a 100 percent Microsoft stack,” says Viraj, “but soon realized that scaling with Microsoft was not an easy job.” It wasn’t the Windows platform or the developer tools that were the problem, he recalls: “It was the SQL Server database. That was the first bottleneck as we got more and more traffic, and it soaked up more and more resources and money. It wasn’t the right solution. It couldn’t scale with us.”

Spoiler: By 2018, BookMyShow, each month, sells more than 10 million tickets for all manner of movies and events and serves three billion pages a month across the web and its 50 million plus installed apps. Scaling happened.

The plot changed for the better in 2010 with the discovery of MongoDB. “We were looking around for alternatives, and it was the new kid on the block.” (In fact, MongoDB 1.0 had launched just the year before, and MongoDB India was yet to come.) “We tested it internally as a straight distributed database for monolithic SQL database swap. Every web and mobile application we built needed a database that had performance and scalability, and MongoDB blew us away on both.”

MongoDB really won its spurs when the company added Facebook Connect to its registration process. “The registration database was the first thing we built, and it was running on SQL Server. Which was OK, until Facebook Connect came along and we added that as a registration option. Then the database really struggled. We switched to MongoDB and it was night and day. Tremendous gains. Not only did we get the ability to represent customers directly as JSON documents in the database, which made our data model much simpler, but we got all our performance back.

“We want the flexibility of upgrading the schema for future use cases, and that’s so much easier in MongoDB. The data structures we create are clear and easy to read, and it’s so much simpler to understand and extend,” Viraj adds, about their discovery of the advantages of document-model storage.

MongoDB’s second big job was also thoroughly web scale, as it took on the task of giving each of those millions of users their own bespoke, personalized view of the service. This time, the engineering team knew where to start. “About five years ago, we built our personalization engine on MongoDB,” says Viraj, “and it continues to scale with us. It stores a lot of customer information and when a customer visits, it pulls it out, personalizes it in real time and delivers it. That really improves the customer experience. We see an 18 percent increase in conversion, personalized versus non-personalized.”

Today, MongoDB is the default database for developing ideas and services in BigTree, and Viraj cheerfully admits he has long ago stopped counting how many nodes are in use. “Last time I looked, it was between 100-160,” he says.

Future plans include containerization of the databases to smooth out upgrades and ease of deployment with BigTree’s agile DevOps production pipeline and, when the time comes, sharding the customer database. That’s planned for, but not currently necessary. He explains: “We just haven’t reached the point where writes to MongoDB are the limiting factor anywhere in the service. We get a long way with MongoDB replica sets, and are safe in the knowledge that there are no limitations to scaling further when we need to.”

Viraj cares deeply about latency – “We’re a performance-sensitive company” – and much of the service is instrumented by monitoring and management platforms such as New Relic. While initial performance gains were superlative, he says, things have only continued to improve as new features and technologies have been added. “We had been using SQL tabular databases for customer booking history,” says Viraj. “We moved this to MongoDB and have seen a superb performance boost. What used to take up to 5000 ms on traditional SQL databases went down to 10-20 ms on MongoDB using the MMAP storage engine. When we moved to MongoDB’s default WiredTiger storage engine, it improved five to ten times further, to 2ms. We’re still getting this performance, even though the database now has close to 200 million documents.”

There have been other benefits from following MongoDB’s roadmap. “WiredTiger has made things much more cost-effective,” he says. “Security is better as we now encrypt data instead of storing it in plain JSON. Our customer database is five times more compact and our personalization database uses nearly eight times less storage.”

In the future, he says, they expect aggregation queries and query caching mechanisms will improve performance still more. As for reliability, “MongoDB auto-heals so well in the event of any failures in our platform we don’t even need to worry about it. That’s highly appreciated, and much better than any of the other databases we have used.”

There can be few better stories of early adoption and innovation with MongoDB than the success BigTree Entertainment has enjoyed with BookMyShow. Viraj and his engineers insist on picking the right tools for each part of the job running India’s favourite online ticketing service, their long experience of casting this particular actor in so many roles makes MongoDB a performer they’ve come to rely on.


Read more about what others are building with MongoDB.