Software Alternatives & Reviews

Apache Kylin VS VeloDB

Compare Apache Kylin VS VeloDB and see what are their differences

Apache Kylin logo Apache Kylin

OLAP Engine for Big Data

VeloDB logo VeloDB

Modern Real-Time Data Warehouse
  • Apache Kylin Landing page
    Landing page //
    2023-06-29
  • VeloDB VeloDB
    VeloDB //
    2024-01-10

VeloDB is a modern real-time data warehouse powered by open source Apache Doris for lightning-fast data analytics at scale. It ensures big data ingestion within seconds and outstanding performance in both real-time serving and interactive ad-hoc queries. It is one platform for various analytics workloads, including structured and semi-structured data processing, real-time analytics and batch processing, internal data query and federated queries of external data. It allows elastic scaling for efficient resource management. It can dynamically adjust the computing resources allocated to the workload based on the changing requirements. It supports MySQL protocol and standard SQL for easy integration with other data tools. It also provides open data API to be accessible for various external query engines.

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

VeloDB videos

No VeloDB videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Apache Kylin and VeloDB)
Databases
52 52%
48% 48
Data Warehousing
0 0%
100% 100
Big Data
100 100%
0% 0
Data Dashboard
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apache Kylin seems to be more popular. It has been mentiond 1 time 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

VeloDB mentions (0)

We have not tracked any mentions of VeloDB yet. Tracking of VeloDB recommendations started around Jan 2024.

What are some alternatives?

When comparing Apache Kylin and VeloDB, you can also consider the following products

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

Snowflakepowe.red - Snowflake Computing is delivering a data warehouse for the cloud.

Apache Druid - Fast column-oriented distributed data store

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

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

Presto - Next generation front-of-house technology