TiDB
Redis
Apache Cassandra
MongoDB
ClickHouse
PostgreSQL
BangDB
Cassandra.Global
Apache Hive
Apache Spark
Apache Doris
ClickHouse
StarRocks
Amazon Redshift
Presto DB
Apache Flink
TiDB Apache HiveBased on our record, TiDB should be more popular than Apache Hive. It has been mentiond 15 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.
Tidb has been around for a while, it is distributed, written in Go and Rust, and MySQL compatible. https://github.com/pingcap/tidb. - Source: Hacker News / about 1 month ago
PingCAP | https://www.pingcap.com | Database Engineer, Product Manager, Developer Advocate and more | Remote in California | Full-time We work on a MySQL compatible distributed database called TiDB https://github.com/pingcap/tidb/. - Source: Hacker News / over 1 year ago
Isn't TiDB built on top of TiKV?[0] [0]: https://github.com/pingcap/tidb. - Source: Hacker News / over 1 year ago
OLTP usually comes with high throughput of transactions, which means usually write(e.g., IUD - insert, update, delete) to read (e.g., select) ratio is above 4 or 5 or even higher. There are some good benchmarks to test OLTP workload like TPC-C (https://www.tpc.org/tpcc/), and some benchmarks to test OLAP workload like TPC-H (https://www.tpc.org/tpch/). For mixed or hybrid OLTP and OLAP (it's called HTAP, see this... - Source: Hacker News / almost 2 years ago
I am very agree with some options of this blog. As the maintainer of the open source distributed database TiDB https://github.com/pingcap/tidb, we also face the same problem of choice. We have a community version, an enterprise version(of course, we must sell it to our customers to earn money) and also a cloud service named TiDB cloud. Seven years before, we started to build TiDB to solve MySQL sharding problem,... - Source: Hacker News / almost 2 years ago
Trino or Hive for SQL querying. Get Trino/Hive to talk to Nessie. Source: about 1 year ago
Hive, A data warehouse infrastructure that provides data summarization and ad hoc querying. - Source: dev.to / over 1 year ago
In this article, I'm showing you how to create a Spring Boot app that loads data from Apache Hive via Apache Spark to the Aerospike Database. More than that, I'm giving you a recipe for writing integration tests for such scenarios that can be run either locally or during the CI pipeline execution. The code examples are taken from this repository. - Source: dev.to / about 2 years ago
ListItem(name='Apache Hive', website='https://hive.apache.org/', category='Interactive Query', short_description='Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.'),. Source: over 2 years ago
Apache Hive takes in a specific SQL dialect and converts it to map-reduce. - Source: dev.to / over 2 years ago
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.
