Managed Trino Service – What it is, Advantages, & More
Let’s see what Trino has to offer and why you should consider choosing Pandio’s managed Trino service. But before we go straight to dessert, let’s first see what the major problems with big data are and why we struggle to make sense of it.
Big data is an interesting niche, and many data engineers thrive in it. However, as in any other field, things tend to become complicated over time. Enterprises keep expanding, and as a result, they start capturing more and more data. They use various storage mechanisms, and it becomes increasingly hard to deal with multiple data pipelines and storage types.
This is why data engineers and analysts need more expensive hardware and software to keep the performance optimal when the operation scales up. But this doesn’t necessarily have to be the case. Pandio’s managed Trino service comes to the rescue to deliver low latency and high performance even when scaled up.
Tackling Big Data Challenges Seems Impossible
We’ve already outlined some challenges enterprises, data engineers, and analysts encounter with big data. Nevertheless, companies have to understand big data and be able to work it to get valuable insights, get ahead of the competition, or improve customer experience. Adding more data pipelines to the mix generates even more data and strains the currently available storage and processing resources.
Companies also often don’t rely on a single storage solution. Many find it necessary to use two, three, or even more of the following types – document databases, object storage systems, key-value stores, NoSQL databases, and relational databases.
Unfortunately, you can query and inspect data in all these systems with one tool. Each one of them requires specific analysis and query language tools. At the same time, most top-notch analytics are built with industry standards in mind, which is SQL.
Data is spread out through silos, and not all silos can be queried at the same performance, which creates even more issues. Not to mention the data in monolithic systems, which are borderline impossible to scale horizontally.
Here is how Trino helps you overcome all these challenges.
What is Trino?
Trino dates way back to 2012 when it was created at Facebook as PrestoDB. Facebook’s team had a problem with the performance when querying the 300 PB data warehouse. PrestoDB enabled them to query databases and warehouses at lightning-fast speeds. On top of that, PrestoDB helped them use data with a variety of tools. Over time PrestoDB became PrestoSQL, and finally, in 2020, Trino.
Trino is not a database, though, and it doesn’t ship out with a data storage system of its own. It is a cutting-edge distributed SQL query engine. Thanks to Trino, organizations can query data against data sources of all sizes, even if an organization uses different storage mechanisms.
Because it was built from the ground up with efficiency and low latency as primary goals, Trino enables companies to do queries quickly without investing in robust hardware to expand storage and processing capabilities.
Today, Trino is superior to any other data abstraction tool on the market. It’s becoming more popular with every passing day. Many big companies depend on Trino every day. You can find it in tech stacks of Facebook, Netflix, Airbnb, Nasdaq, Inmar, WyzAnt, Asurion, and Atlassian.
Here are all the noteworthy advantages it has to offer.
As we mentioned, Trino was designed to outperform all other solutions currently on the market. It uses distributed execution which makes it suitable for data sources of all sizes. You can use it to query against petabytes of data and still do it with excellent performance.
Thanks to its superior performance Trino is perfect for real-time analysis. Its response times are measured in milliseconds. Why is this relevant for extensive data operations? In comprehensive data operations, data is stored via various mechanisms and scattered across data warehouses and lakes.
This is a massive challenge for data engineers because they need to make sure data is relevant. Before queuing, they had to consolidate the data and clean it up. While all these processes are easy to fit in one sentence within an article, in reality, they are time-intensive and often very expensive.
Trino offers an easy way out from this tricky situation to teams of data engineers. With Trino, data engineers don’t have to move data at all. Trino can improve efficiency and provide fast insights. Since it is an accelerated query engine, you won’t have to worry about optimizing its speed. The performance outcome strictly depends on the performance of the data storage mechanisms you interface with Trino.
Being a query engine instead of a database with storage enables Trino to deliver streamlined scalability to its users. With Trino you will finally be able to keep computing and storage separately. What does it mean? You will be able to scale computing and storage independently. Your data sources are the storage layer, while at the compute layer, you have Trino.
With one glance at the analytics reports on the use of your data, you will be able to scale Trino’s compute resources for query processing up or down. Trino is also able to dynamically scale the computing cluster, thus scaling the power of the query. The query needs of an organization consistently change, and being able to provision storage and compute needs ad hoc can save your enterprise a significant amount of money.
You will be able to precisely determine your hardware resource needs and reduce the cost of your operation significantly.
Easily Connect to Data Sources
How do you efficiently connect to data sources when they are scattered across data warehouses and lakes? What about connecting to and querying live streaming data from distributed messaging systems?
Trino has the answers to both these questions. Trino comes with a native Connector API. Thanks to it, Trino became the universal analytic query engine. With Trino, you will be able to query against all data sources without worrying about performance. Currently, Trino support queries against:
- Live streaming data from systems like Pulsar
- Structured & unstructured data sources
- SQL and NoSQL
- Hadoop HDFS
Data engineers love that they don’t have to write multiple query statements to query against different data sources. Trino enables them to use a single query statement to get the job done. Not to mention how much work becomes more straightforward when you don’t need to consolidate or aggregate data sources before querying them. Finally, instead of bringing data to the queries, Trino enables you to bring queries to the data.
Locking into a cloud provider for big data projects has certain benefits, such as ease of use and swift onboarding. However, it also comes with technical drawbacks and can potentially impact the performance as well.
Finding out that you’ve reached your maximum concurrency for your project or that you can not add more partitions to the table is a terrible thing to have to build a work around from. Cloud providers have limited access to storage and processing power, and on top of that, they are shared. At peak times, you can experience poor performance and intolerable latency.
With Trino, you have unlimited freedom, even if you decide to use a managed Trino service. Let’s say you decide to choose Pandio’s managed Trino service. You will not be forced to run it on the infrastructure Pandio’s team chooses. Instead, you can install and run it on the infrastructure of your choice.
More importantly, you will be involved in the decision-making process. You get to custom-tailor the deployment how you see fit, decide the number of nodes, and choose node instance-type. The model proved great in terms of achieving great performance at an affordable cost.
Pandio Introduces Managed Trino Service
Pandio’s managed Trino service is tailored to provide data engineering teams the ability to both access and automate (move) their data across the enterprise with more throughput, better latency, and lower cost than any other option on the market. It is a perfect fit for Pandio’s managed Pulsar service.
Trino works perfectly with querying data streams in real-time, and is incredibly efficient when paired with the Pulsar distributed messaging system.
It can only help you save time and reach your target market before the competition does. Pandio’s managed Trino service is a premium hosted service. Pandio’s team takes care of all configuration, tuning, and optimization so that your data engineers can focus on more pressing matters bringing the insights faster to you than ever.
Pandio’s managed Trino service also tackles one of the major issues across verticals today – data security. Pandio’s team of Trino experts follows the best cybersecurity practices to ensure all your data sources, including lakes, warehouses, and streams, are safe and secure.
Integrating Trino into your ecosystem or framework is straightforward. If you find the synergy of Pandio’s managed Trino service and managed Pulsar service compelling, feel free to contact us. Pandio has full demonstrations available on request and is also happy to partner with your organization to provide a free Total Cost of Ownership (TCO) assessment.