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Based on our record, ClickHouse should be more popular than Google Cloud SQL. It has been mentiond 44 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.
Cloud SQL: managed relational database service for MySQL, PostgreSQL, and SQL Server. - Source: dev.to / 5 months ago
All cloud platforms are going to have a Postgres database support. Google has something called AlloyDB that looks fantastic for reliability and scalability. Cloud SQL is a bit more standard though. Source: about 1 year ago
Google SQL - not familiar with, does it solve the cons above? Source: about 1 year ago
Cloud SQL with MySQL as I can run it locally and know its queries will be expressive enough (where I am uncertain about Firestore, for instance). Source: over 1 year ago
For example, a Cloud Run Container is a provider for Services, whereas a Cloud SQL Server is a provider for databases. The providers are wrapped in parent containers that encapsulate the capabilities of their children. - Source: dev.to / over 1 year ago
In the world of data management and web services, creating and managing APIs can often be a complex and time-consuming task. However, with the right tools, this process can be significantly simplified. In this article, we will explore how to create APIs for fetching data from ClickHouse tables without writing any code and manage these APIs using APISIX. ClickHouse, a fast and open-source columnar database... - Source: dev.to / 17 days ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 4 months ago
Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in... - Source: dev.to / 4 months ago
To achieve seamless real-time data ingestion, transformation, and analytics, a powerful combination to explore is RisingWave and ClickHouse. RisingWave is a PostgreSQL-compatible database specifically designed for stream processing. It excels at ingesting real-time data streams, performing diverse transformations, and enabling instant querying of results. ClickHouse® is a high-performance, column-oriented SQL... - Source: dev.to / 6 months ago
You can export the whole dataset as described here: https://github.com/ClickHouse/ClickHouse/issues/29693- Source: Hacker News / 6 months agocurl https://clickhouse.com/ | sh.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
MySQL - The world's most popular open source database
Oracle DBaaS - See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.
Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.
Amazon Aurora - MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.
VeloDB - Modern Real-Time Data Warehouse