The unveiling of the Tesla Model 3 has completely disrupted the electric car market and even the automobile industry as a whole. Designed to be the first electric car for the masses, if Elon Musk has his way, the Model 3 will become the catalyst that finally turns electric cars mainstream.

And, if early pre-orders are any indication, Musk is well on his way. The company already had 130,000 customers plunk down a $1,000 deposit on the car sight unseen. After the unveiling, that number skyrocketed to more than 232,000, representing $7.5 billion in sales. In just one day. No doubt every other auto manufacturer is green with envy.

What does all of this have to do with data integration? Just as the Tesla 3 is upending the automotive industry, so too is the data Platform-as-a-Service (dPaaS) model for data integration and management. Here are 6 features dPaaS has in common with the Tesla 3:

• Designed for the masses: Like Tesla, dPaaS is taking a completely non-traditional approach to solving some old problems, becoming the first data integration and data management solution for the masses. Moving completely away from conventional segregation of the integration and data management functions and application-level integration, some platforms offer data-level integration and management in a unified solution that makes it is accessible to more companies — even those without deep pockets and deep data management expertise.

• Speed: The base model Tesla 3 can rocket from zero to 60 mph in less than 6 seconds, blowing every pre-conceived notion of electric cars as being slow and boring out the window. dPaaS is doing the same by leveraging an innovative microservices architecture which dramatically improves the speed at which companies can actually gain insights to their data.

• Scale: With a range of at least 215 miles on a single charge, the Tesla 3 offers what could be the longest range in the electric car market. Similarly, the dPaaS approach can go the distance, offering a scalability and range that can handle virtually any size, type or configuration of data sets, from simple, structured databases to large, complex, unstructured data, like social and online behavior data.

• Shedding complexity: The Tesla 3’s new dashboard is unlike anything we’ve ever seen before in a car. It’s essentially blank—no dials or instrument cluster—with everything consolidated into a center-mounted touch-screen display to make the driving experience simpler and less distracting. dPaaS is also reducing complexity in the data integration process.

• Unprecedented insights: Tesla’s unique wireless connectivity sends usage data to the company in real time, giving them unprecedented insight into the car’s performance and status for continuous learning, and allowing them to move quickly to push updates, fixes, and more. dPaaS does the same, giving companies more flexibility to analyze data in ways never before possible to spot new trends. For example, one pharmaceutical company is using dPaaS’s custom data blending capability to monitor Twitter for mentions of its drugs to gauge public sentiment, performance, customer feedback and reports of possible side effects. It’s giving them a truly unique way to analyze product performance beyond conventional trial data that would otherwise be impossible without dPaaS.

• Custom configuration: With a multitude of options, the Tesla 3 can be configured to provide a truly unique driving experience for every buyer, from performance boosts to practical options like all-wheel drive. dPaaS can also be tailored to meet just about any need or desire, building on the base platform to meet unique customer requirements. The built-in microservices architecture enables virtually endless customization options, giving each customer a very unique experience that easily evolves and changes alongside their needs.