ClickHouse Cloud
Quickwit
Google BigQuery
Amazon Redshift
Snowflake
Stitch
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Fivetran
Amazon EMR
Google BigQuery
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ClickHouse Cloud Amazon EMRNo ClickHouse Cloud videos yet. You could help us improve this page by suggesting one.
Based on our record, Amazon EMR should be more popular than ClickHouse Cloud. 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.
> Note: hosted CH did not exist yet. We are using Altinity to run our cluster. It exists now actually. We (highlight) are on hosted clickhouse, which went in GA a few months ago. https://clickhouse.com/cloud. - Source: Hacker News / about 1 year ago
After looking for alternatives we decided to switch to ClickHouse. We highly recommend reading the "100x Faster: GraphQL Hive migration from Elasticsearch to ClickHouse" article we wrote with the ClickHouse Cloud team. It covers in detail the problems we were facing and the decision-making process that lead us to love ClickHouse. - Source: dev.to / over 1 year ago
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: almost 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
Quickwit - Open-source & cloud-native log management & analytics
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Amazon Redshift - Learn about Amazon Redshift cloud data warehouse.
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
Snowflake - Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.
