Dbeaver athena12/12/2022 If your total of running and queued queries exceeds 20, query 21 will result in a “too many queries” error. Athena by default does not allow more than 20 concurrent active queries (running and queued) per account. Scalability and concurrency are also a major concern. Trino enables users to manage resources, so SLAs are more controllable and predictable. As such it cannot guarantee good predictable performance: it’s hard to predict SLA because for each query execution a different cluster size might be allocated under the hood, and managing the allocated resources is impossible. One of AWS Athena’s biggest limitations is that it’s a shared, multi-tenant service. DBEAVER ATHENA FULLThis enables users to run a full hour of concurrent queries that scan hundreds of terabytes of data - for the same cost of one Athena query scanning one terabyte of data. A basic Presto cluster of 10 workers and 1 coordinator on AWS EMR using 2x r5.8xlarge + r5.xlarge will cost $5 per hour. This is doubly true if you run queries extensively and scan significant amounts of data for each query. The Trino pricing scheme enables you to drastically lower the cost per query when you deploy Trino yourself. Each of these operations reduces the amount of data Amazon Athena needs to scan to execute a query. You can save on query costs and achieve better performance by compressing, partitioning, and converting your data into columnar formats. Charges are based on the amount of data scanned by the query – $5 per terabyte, with a 10MB minimum per query. Trino: Cost per QueryĪmazon Athena is priced per query. Below we outline the main differences between the two platforms. You can easily apply these observations to PrestoDB.Īthena and Trino aim to provide users with the same benefits of data lake analytics, but they differ substantially in cost and scale, visibility and control, and setup and integration considerations. In this analysis we’ll zoom in on Trino and compare it to AWS Athena. Alternatively, you can pay even more for fully managed commercial solutions such as Ahana and Starburst Data, that offer improved performance, support and security - while making it easy to deploy, connect and manage a Presto environment. For an additional incremental cost, you can use managed solutions offered by public cloud vendors such as Amazon EMR and GCP Dataproc, which makes it simple and cost effective to run Presto and Trino when compared to on-prem or self-managed cloud deployments. Since Presto and Trino are open-source, you only pay for the infrastructure used. AWS EMR, GCP Dataproc, Starburst Data, Ahana and more), and have been proven at scale in a variety of use cases at Facebook, Airbnb, Comcast, Netflix, Twitter, Uber and many more. Presto and Trino are available as vanilla deployments in the cloud or on-premises, as well as a managed solution (e.g. Both support a wide variety of use cases with diverse characteristics. Presto and Trino are open-source distributed query engines running on a cluster of machines.īoth Presto and Trino were designed to be flexible, and extensible. Athena makes it easy for anyone with SQL skills to quickly analyze large-scale datasets and is a great choice for getting started with analytics if you have nothing set up yet. Just point it at the data and get started for $5 per terabyte scanned. If you are reading this blog, you are seriously considering implementing a data lake architecture or have already figured out that you need to use PrestoDB or Trino (AKA PrestoSQL) to support interactive analytics use cases and data-driven culture.īut should you start with a simple solution like Amazon Athena, which is based on Presto - or manage your own PrestoDB or Trino clusters? To make an informed decision, the first step is to understand the pros and cons of each solution, as well as what they offer in the context of your specific use cases, customer requirements and SLAs, data sets, and queries.Īmazon Athena is a serverless query service, providing the easiest way to run ad-hoc queries for data in S3 without the hassle of setting up and managing clusters. DBEAVER ATHENA HOW TOWhile both platforms are used to extract value off massive amounts of data in the data lake, Athena and Presto / Trino have benefits and drawbacks for different use cases - this post will highlight when and how to extract the most value of each.
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