Presto DB
Google BigQuery
Looker
Jupyter
Databricks
Rakam
Informatica
Concurrent
Grafana
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Datadog
Zabbix
Splunk
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Dynatrace
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Based on our record, Grafana seems to be a lot more popular than Presto DB. While we know about 197 links to Grafana, we've tracked only 6 mentions of Presto DB. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Presto is an open-source distributed SQL query engine, originally developed at Facebook, now hosted under the Linux Foundation. It connects to multiple databases or other data sources (for example, Amazon S3). We can use a Presto cluster as a single compute engine for an entire data lake. - Source: dev.to / almost 2 years ago
Fair point, but I am talking about Athena (not SQL Server), which under the hood uses a distributed query engine. It is capable to deal with huge amounts of data, if the storage is in the right shape. You can read more about the underlying technology here: https://prestodb.io/. Source: about 2 years ago
So there is Presto, which is a distributed SQL engine created by Facebook. Source: about 2 years ago
You can use Athena to run data analytics, with just standard SQL (Presto). - Source: dev.to / over 2 years ago
Presto does this, but I'm honestly uncertain how performant it is. In my experience, centralizing data is the superior approach to attempting to query multiple sources in place. Source: almost 3 years ago
Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within... - Source: dev.to / about 2 months ago
To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along. - Source: dev.to / about 1 month ago
Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities. - Source: dev.to / about 1 month ago
Prometheus: Open-source monitoring system. Often used together with Grafana. - Source: dev.to / 2 months ago
In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:. - Source: dev.to / 3 months ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Prometheus - An open-source systems monitoring and alerting toolkit.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Zabbix - Track, record, alert and visualize performance and availability of IT resources
