ClickHouse Cloud Reviews

Amazon Redshift Reviews

ClickHouse Cloud mentions (2)

• Show HN: We built a ClickHouse-based logging service

  > 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 2 years ago

• How ClickHouse helps us track billions of GraphQL requests monthly

  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 2 years ago

Amazon Redshift mentions (29)

• How to Pitch Your Boss to Adopt Apache Iceberg?

  If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, you’ve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming — one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / about 1 month ago

• Everyone Uses Postgres… But Why?

  Postgres can be easily adapted to build highly tailored solutions. For instance, Amazon Redshift can be considered a highly scalable fork of Postgres. It’s a distributed database focusing on OLAP workloads that you can deploy in AWS. - Source: dev.to / 6 months ago

• From ETL and ELT to Reverse ETL

  With the transition from ETL to ELT, data warehouses have ascended to the role of data custodians, centralizing customer data collected from fragmented systems. This pivotal shift has been enabled by a suite of powerful tools: Fivetran and Airbyte streamline the extraction and loading, DBT handles the transformation, and robust warehousing solutions like Snowflake and Redshift store the data. While traditionally... - Source: dev.to / 8 months ago

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  They differ from conventional analytic databases like Snowflake, Redshift, BigQuery, and Oracle in several ways. Conventional databases are batch-oriented, loading data in defined windows like hourly, daily, weekly, and so on. While loading data, conventional databases lock the tables, making the newly loaded data unavailable until the batch load is fully completed. Streaming databases continuously receive new... - Source: dev.to / over 1 year ago

• Choosing the Right AWS Database: A Guide for Modern Applications

  Data warehousing is the process of storing and analyzing large volumes of data for business intelligence and analytics purposes. AWS offers a fully managed data warehousing service called Amazon Redshift that can handle petabyte-scale data warehouses with ease. - Source: dev.to / over 1 year ago