HBase vs MSSQL: What are the differences?
What is HBase? The Hadoop database, a distributed, scalable, big data store. Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
What is MSSQL? It is an enterprise-level database system that is very popular for Windows web servers. It is capable of storing any type of data that you want. It will let you quickly store and retrieve information and multiple web site visitors can use it at one time.
HBase and MSSQL can be categorized as "Databases" tools.
HBase is an open source tool with 3K GitHub stars and 2.05K GitHub forks. Here's a link to HBase's open source repository on GitHub.
Pinterest, HubSpot, and hike are some of the popular companies that use HBase, whereas MSSQL is used by esportshub, Shared User Management System - Georgia Institute of Technology, and engel80. HBase has a broader approval, being mentioned in 69 company stacks & 109 developers stacks; compared to MSSQL, which is listed in 20 company stacks and 22 developer stacks.
What is HBase?
What is MSSQL?
Need advice about which tool to choose?Ask the StackShare community!
Why do developers choose MSSQL?
What are the cons of using HBase?
What are the cons of using MSSQL?
Sign up to get full access to all the companiesMake informed product decisions
Sign up to get full access to all the tool integrationsMake informed product decisions
Investigating Tortoise ORM and GINO ORM...
I need to introduce some async ORM with the current stack: Tornado with asyncio loop, AIOHTTP, with PostgreSQL and MSSQL. This project revolves heavily around realtime and due to the realtime requirements, blocking during database access is not acceptable.
Considering that these ORMs are both young projects, I wondered if anybody had some experience with similar stack and these async ORMs?
The final output is inserted into HBase to serve the experiment dashboard. We also load the output data to Redshift for ad-hoc analysis. For real-time experiment data processing, we use Storm to tail Kafka and process data in real-time and insert metrics into MySQL, so we could identify group allocation problems and send out real-time alerts and metrics.