Five Reasons Why PrestoDB Architecture Simplifies Queries and Reduces Cost

To say that PrestoDB has been a revolution in SQL engines would be like saying the printing press made mass production of books and newsletters slightly simpler. PrestoDB is the leading technology in the world of queries, and its architecture is built for longevity.

With the new advancements in the digital world such as new Big Data practices, improved AI, and streamlined ML – PrestoDB is the prime choice to handle all their SQL querying, data analytics, and data management needs.

In this article, we’ll talk a bit about how PrestoDB can simplify queries to a considerable degree and provide a considerable reduction in the costs associated with SQL queries. 

1. Far faster than most of the competition

One of the primary reasons why PrestoDB was developed in the first place was to speed up the existing technology solutions such as Apache Hive. While Apache Hive was a very viable SQL engine, it wasn’t cut out for larger-scale operations that Facebook needed when developing Presto SQL. 

Presto SQL can handle large data centers at a much faster pace than any of its competing technologies. The reason why PrestoDB can operate at such a quick pace lies within its framework, which enables the SQL engine to process a SQL query using multiple stages that run simultaneously. That’s known as the “push” model running concurrently. 

The data flow is organized in a linear manner, where the upper level of data receives updates from the lower level of data, meaning that the data in-between effectively travels at a much faster rate. 

2. Simplifies and streamlines queries

One of the main innovations that PrestoDB brought to the table with its invention is the ability to take very complex queries that take a long time to process and simplify them. This efficiency makes previously large and intricate queries bite-sized, easily processable, and streamlined in the SQL process.

Not only does this speed everything up, but it’s also a crucial part of streamlining ad-hoc analytics, giving PrestoDB yet another use case. 

Traditional SQL engines aren’t that powerful for things such as data management and analytics. Still, Presto DB’s unique framework allows it to combine analysis, computing power, and querying to deliver data in a streamlined way. 

3. Works with multiple data sources

The sole reason Presto DB was developed was that Apache Hive couldn’t handle the current workload of a SQL engine that Facebook’s massive data centers had. To solve this issue and many other issues, Presto DB was developed.

Since its inception, Presto DB was conceived to work with as many sources as possible simultaneously. This means that PrestoDB can operate with MongoDB, Teradata, Kafka, Cassandra, MySQL, Alluxio, AWS S3, and Hadoop.

This means that PrestoDB is the one-stop shop for all of the SQL engine needs you might have, as it can handle multiple data sources simultaneously. Since the modern corporate world is mostly data orientated, having a piece of software capable of handling multiple data sources removes the need for specialized software, more computing power, and multiple operations running at the same time on different sources. 

In layman’s terms, Presto DB can handle more than a few sources simultaneously, significantly reducing the cost of the data analysis, SQL querying, and management processes. 

4. Fully adjustable and open-source

Perhaps the biggest selling point of PrestoDB and the reason why it does wonders for simplifying queries and saving costs is its open-source nature. The open-source software phenomenon has been around for a while, and it essentially means that anyone with the required skill set can modify, improve, or take portions of the software for their own needs.

If you’re running a larger scale operation and need a piece of software capable of handling your needs specifically, you can simply modify Presto DB. 

Megacorporations such as Airbnb, Facebook, Netflix, Gympass, Amperity, Atlassian, and many more use a modified version of Presto DB to handle their large data sources, meaning they can save a lot of money on development costs. 

The open-source nature of software such as PrestoDB means that many people are releasing their versions, actively improving the software – most of which is available for free.

5. Simple integration and cloud capabilities

Presto DB was developed with simplicity in mind. Not only is it easy to use, streamlines a range of processes, and makes quick work of queries, but it’s also available for almost all systems and has very easy integration.

Companies that need such a SQL engine have whole systems already built more often than not, meaning they need to fit their SQL engine to their existing system operations. With the open-source nature of Presto DB, companies can quickly integrate the software into their existing ecosystem, saving a significant amount of time and money. 

The biggest trends in recent years have been cloud storage and cloud computing. Storing data on the cloud saves a lot of money as there’s no need for physical servers. While this was not a trend when PrestoDB first came out, its latest rendition can handle such servers, making it an essential tool in any cloud company’s data arsenal. 

In Conclusion

PrestoDB is one of the more interesting developments still going on and an unsung hero of the data world. With the advancement of technologies such as Big Data, software like PrestoDB will find yet another use case in the digital infrastructure of tomorrow. 

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