Cassandra.Global
MongoDB
DeepBench
Redis
BangDB
CouchDB
Microsoft SQL Server
MariaDB
ClickHouse
PostgreSQL
Apache Doris
MySQL
VeloDB
StarRocks
MongoDB
Snowflakepowe.red
CASSANDRA is transforming the way knowledge work gets done by tracking, identifying and connecting you with the people behind trending markets across the internet. We are experts at finding knowledge and analyse millions of signals from across the web to surface the most relevant trends and thought leaders. Why we analyse millions of searches, conversations and mentions across the internet. Contrary to earlier expectations, the internet has not given us more certainty, time or knowledge in our decision-making but rather quite the opposite. Over the last two years alone 90 percent of the data in the world was generated, leading to unprecedented information overload. Investors and companies who build their intellectual advantages on the basis of knowledge need filters to stand the best chance of innovating, finding opportunity and succeeding. Our role is to be exactly this filter, helping you to cut through the noise and connecting you to the right expertise for your business context. Merging external insights and perspectives with internal experiences, creating exclusive, proprietary new knowledge that others might not have.
Cassandra.Global ClickHouseBased on our record, ClickHouse seems to be more popular. It has been mentiond 43 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.
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
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
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 / 4 months ago
You can export the whole dataset as described here: https://github.com/ClickHouse/ClickHouse/issues/29693- Source: Hacker News / 5 months agocurl https://clickhouse.com/ | sh.
Nowadays I am looking at the clickhouse and how it might help me maybe you can check it out: https://clickhouse.com/. Source: 5 months ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
DeepBench - Helps businesses make better informed decisions through critical insights from expert advisors.
Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
MySQL - The world's most popular open source database