logit.io
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OpenStudio
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Amazon EMR
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Centralise logs, metrics and traces into a single platform for observability with Logit.io. The Logit.io platform provides complete data reporting, monitoring and alerting by harnessing the best open source tools including ELK, OpenSearch, Prometheus & Grafana.
As the Logit.io platform operates in compliance with GDPR, HIPAA, SOC 2 and is ISO 27001 & PCI Service Provider certified, you can rest assured that we uphold the best security standards possible to protect our user’s data and information security interests. The platform can also be used to meet compliance with the Cybersecurity Maturity Model certification for the following ID numbers AU.2.041, AU.2.042, AU.2.044, AU.3.045, AU.3.046, AU.3.048, AU.3.049, AU.3.050, AU.3.051 and AU.3.052.
In addition to this, our platform can also be used to detect and mitigate issues such as Log4Shell CVE-2021-44228.
Whether you need to conduct application performance monitoring, log management, infrastructure monitoring, SIEM, or data visualisation, the Logit.io platform is here to provide a complete platform for data management and analysis.
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Based on our record, Amazon EMR seems to be more popular. It has been mentiond 10 times since March 2021. 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.
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 2 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
Check out https://aws.amazon.com/emr/. Source: about 2 years ago
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.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
AppOptics - Application performance management and infrastructure monitoring.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Plumbr - Plumbr is an application performance platform that provides insights to users on the performance of their applications.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?