Apache Tajo Pros and Cons

As data analyst processing big data on Hadoop, Apache Tajo becomes useful due to its capabilities. It is easy to use and works with SQL like queries, and I can manipulate large volumes of data that are stored in HDFS. Review collected by and hosted on G2.com.

In cases where I want to examine data as it is flowing steadily or where real-time analytics are necessary, Tajo is not the best fit. Due to the batch processing architecture of Tajo, data needs to be pre-loaded which causes latencies for the real time applications. Review collected by and hosted on G2.com.

There is no doubt that the ease of using SQL to query huge data sets was attractive. This could be compared with relief as opposed to having to memorize an entire new language for big data analysis. It also has the benefits of being open-source, which meant that I could easily find a plethora of support from developers online. Review collected by and hosted on G2.com.

It was slow during most of the experiments and particularly for complex queries on large datasets. The jobs used to run for hours on end and therefore, it became very difficult to make quick conclusions from the results that I got. This slowly proved disadvantageous to my unit and turned into a bottlenecks. Review collected by and hosted on G2.com.

One of the best feature of Apache Tajo is it provides use for multiple data formats including those of standard and it can be processed with very minimal modifications. It has user defined function, which is intuitive to user and makes sure to understand users input well and with ease.It requires less maintenance and it is as simple as it gets. I have been using it for several for my Big data processing purposes including: Warehousing and Analysis of data, Data storage and Data formatting, Log and Data analysis of Large set of Ecom data. Review collected by and hosted on G2.com.

Given reliability on the SQL set of coding, it requires one to be thorough on SQL before using it so it has a dependency on SQL. Review collected by and hosted on G2.com.

Recommended Solution for an oragnization or individuals who used SQL in day to day activities. It give faster result compare to hive QL. Review collected by and hosted on G2.com.

Nothing dislikes as such, good to professional, beginers might take time to learn its env and installation process is bit lengthy. Review collected by and hosted on G2.com.

I find Apache Tajo is a bit easier to navigate than Apache Hive. I also noticed that the results I received from queries were coming in much faster than our previous software. Review collected by and hosted on G2.com.

The software is a bit complicated and has a tough learning curve for users who aren't previously familiar with SQL coding. We had to really onboard our team in order to effectively utilize the system. Review collected by and hosted on G2.com.

Our company needed a solid warehouse solution that could bring us up to speed and provide future enhancements. Apache Tajo nailed it! Review collected by and hosted on G2.com.

The procedures to setup and configure took some learning from our IT team. Education is key! Review collected by and hosted on G2.com.