Software Alternatives & Reviews

Apache Kylin VS Microsoft SQL Server

Compare Apache Kylin VS Microsoft SQL Server and see what are their differences

Apache Kylin logo Apache Kylin

OLAP Engine for Big Data

Microsoft SQL Server logo Microsoft SQL Server

Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.
  • Apache Kylin Landing page
    Landing page //
    2023-06-29
  • Microsoft SQL Server Landing page
    Landing page //
    2023-01-17

Apache Kylin videos

Extreme OLAP Analytics with Apache Kylin - Big Data Application Meetup

More videos:

  • Review - Apache Kylin: OLAP Cubes for NoSQL Data stores
  • Review - Installing Apache Kylin in Cloudera Quickstart VM Sandbox

Microsoft SQL Server videos

What is Microsoft SQL Server?

Category Popularity

0-100% (relative to Apache Kylin and Microsoft SQL Server)
Databases
15 15%
85% 85
Big Data
100 100%
0% 0
NoSQL Databases
0 0%
100% 100
Data Dashboard
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Kylin and Microsoft SQL Server

Apache Kylin Reviews

We have no reviews of Apache Kylin yet.
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Microsoft SQL Server Reviews

20 Best SQL Management Tools in 2020
It is a SQL management tool for analysing the differences in Microsoft SQL Server database structures. It allows comparing database objects like tables, columns, indexes, foreign keys, schemas, etc.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, Microsoft SQL Server should be more popular than Apache Kylin. It has been mentiond 4 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.

Apache Kylin mentions (1)

  • Apache Kafka Use Cases: When To Use It & When Not To
    A Kafka-based data integration platform will be a good fit here. The services can add events to different topics in a broker whenever there is a data update. Kafka consumers corresponding to each of the services can monitor these topics and make updates to the data in real-time. It is also possible to create a unified data store through the same integration platform. Developers can implement a unified store either... - Source: dev.to / over 1 year ago

Microsoft SQL Server mentions (4)

  • Amdocs, NVIDIA and Microsoft Azure build custom LLMs for telcos
    Amdocs has partnered with NVIDIA and Microsoft Azure to build custom Large Language Models (LLMs) for the $1.7 trillion global telecoms industry. Source: 5 months ago
  • Windows Azure: Microsoft's crown jewel
    You can utilise various tools on the platform to significantly improve your IT performance. Due to its flexibility, even official recommendations for Azure might need to be clarified and easier to comprehend. Simply put, Azure (formerly Windows Azure) is Microsoft's cloud computing operating system. Source: 11 months ago
  • From developer to (solutions) architect. A simple guide.
    This is not to say there aren't architects still working on premise in self managed environments, but if you're planning to join the forces, you probably want to have an idea of who are the 3 public cloud providers (AWS, Azure and GCP), and their offering and topology. - Source: dev.to / almost 3 years ago
  • Can You Learn AWS (And Get Certified) With No Experience? e.g. No IT background or degree
    Right now, AWS couldn’t be a better choice. AWS has been for many years—and continues to be—the market leader between all the cloud platforms. Whilst the competitors like GCP and Azure are catching up, they’ve still not toppled AWS which continues to be, by far, the biggest cloud provider. - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing Apache Kylin and Microsoft SQL Server, you can also consider the following products

Spring Batch - Level up your Java code and explore what Spring can do for you.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Apache Druid - Fast column-oriented distributed data store

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

MariaDB - An enhanced, drop-in replacement for MySQL