GraphQL Reviews

ClickHouse Reviews

GraphQL mentions (225)

• Difference between GraphQL, REST, and gRPC

  On the other hand, GraphQL is a query language for APIs that was developed by Facebook. It allows clients to specify exactly what data they need, and the server responds with only that data. - Source: dev.to / 7 days ago

• When It’s Time to Give REST a Rest

  In this article, I’ll show why GraphQL is the preferred approach over a RESTful API here, demonstrating how to deploy Apollo Server (and Apollo Explorer) to get up and running quickly with GraphQL. - Source: dev.to / 13 days ago

• Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide

  GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint. - Source: dev.to / about 1 month ago

• Type-Safe Fetch with Next.js, Strapi, and OpenAPI

  When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much. - Source: dev.to / about 2 months ago

• REST vs. GraphQL: A Detailed Comparison of API Architectures for Developers

  REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request. - Source: dev.to / about 2 months ago

ClickHouse mentions (44)

• Simplified API Creation and Management: ClickHouse to APISIX Integration Without Code

  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 / about 16 hours ago

• The 2024 Web Hosting Report

  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 / 3 months ago

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

  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 / 3 months ago

• Real-Time Data Enrichment and Analytics With RisingWave and ClickHouse

  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 / 5 months ago

• Ask HN: Is there a Hacker News takeout to export my comments / upvotes, etc.?

  You can export the whole dataset as described here: https://github.com/ClickHouse/ClickHouse/issues/29693

      curl https://clickhouse.com/ | sh.

  - Source: Hacker News / 5 months ago