ClickHouse
PostgreSQL
MySQL
Apache Doris
VeloDB
Snowflakepowe.red
SQLite
MongoDB
SQream
Apache ORC
Panoply
Impala
Pepperdata
RJ Metrics
Fujitsu Symfoware Analytics Server
Apache Kudu
SQream is a data analytics acceleration platform built especially for massive data - from terabytes to petabytes. SQream takes queries down from days to hours and hours to minutes. The SQream platform provides the ability to analyze more data, faster, with multiple dimensions and cuts data preparation significantly by enabling ad-hoc querying on raw data. Leading global organizations in telecommunications, healthcare, ad-tech, retail and more rely on SQream to achieve critical business insights and potentially valuable BI across their massive data stores.
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Based on our record, ClickHouse seems to be a lot more popular than SQream. While we know about 44 links to ClickHouse, we've tracked only 1 mention of SQream. 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.
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 / 23 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.
Later on, when your needs will increase, you can work with https://sqream.com/ (Panoply was acquired by SQream DB). Source: about 2 years ago
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Apache ORC - Apache ORC is a columnar storage for Hadoop workloads.
MySQL - The world's most popular open source database
Panoply - Panoply is a smart cloud data warehouse
Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.
Impala - Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.
