G2

Araceli M.

Data Engineer

Enterprise (> 1000 emp.)

12/15/2020

"A good choice for efficient on-the-fly big data analytics + write random access"

4/5

What do you like best about Apache Kudu?

To my mind, what I found most helpful about Apache Kudu is the possibility to make quite complex data aggregations through SQL engines while also being able to efficiently perform updates Review collected by and hosted on G2.com.

What do you dislike about Apache Kudu?

Probably two downsides of Apache Kudu to take into account are partitioning configuration, as it's quite hard to find the best partitioning set up for the particular use case performance, and also the fact that Kudu does not balance charge if a new node is added to the cluster. Review collected by and hosted on G2.com.

Recommendations to others considering Apache Kudu:

Be ready for expend quite a few hours fine-tunning Apache Kudu partitioning and figuring out the best replication factor for your particular use case. Review collected by and hosted on G2.com.

What problems is Apache Kudu solving and how is that benefiting you?

While working as a Financial Data Engineer at Santander CIB we leveraged Apache Kudu potential for efficient online data analytics for financial derivatives calculation in an on-premise cluster. We realised Kudu was suitable for this kind of computation engine that requires both high throughput and low latency because of its characteristics. It was also a good choice since it was a Cloudera cluster and has a really good integration capability with HDFS and Impala. Review collected by and hosted on G2.com.