Anyone who works with data knows how crucial performance is, especially when performing complex data processing and data transformation operations on medium to large datasets.
At Rulex, we understand this need very well, which is why we have devoted a considerable amount of time and effort to ensuring that our software is incredibly fast and efficient.
Processing data fast
Rulex Platform is optimized to handle complex data operations at scale with lightning-fast speed, ensuring that users can process their data quickly and responsively. This feature is especially crucial for companies that rely on near real-time data analytics in their decision-making processes, as slow performance levels can lead to delays and inaccurate information, ultimately impacting services, resources, and business decisions.
Data processing speed: Rulex vs Pandas
To showcase the fast data processing capabilities of Rulex, we have compared it with Pandas, an open-source data manipulation library built on top of the Python programming language.
However, while Pandas is a powerful tool, it can struggle when handling large datasets or complex data operations, leading to slower processing times.
Rulex Platform handles these challenges with speed and efficiency, making it an excellent choice for businesses that need to process data quickly and accurately.
To provide an accurate comparison of Rulex Platform and Pandas, we conducted a series of tests using identical conditions on the same machine and measured the results. We performed ten different operations (group, filter, sort, join, math calculations, concatenation and a sequence of operations) on datasets with the following characteristics: an initial relatively small dataset with 5 million rows of data, a second medium-sized dataset with 15 million rows of data and a final large dataset with 50 million rows of data.
Here is a brief summary of our findings to give you an idea of the results we obtained.
Our tests show that Rulex Platform was faster than Pandas in 25 out of 30 tests.
Rulex Platform consistently outperformed Pandas across all three datasets.
The difference in data processing speed was particularly pronounced on the largest dataset, containing 50 million rows. In one test, Pandas took 30 minutes to process the data, while the Rulex Platform accomplished the same task in just 26 seconds!
Rulex Platform outperformed Pandas in terms of memory usage in 28 out of 30 tests.
Our tests revealed that Rulex Platform consistently used less memory than Pandas across all datasets and operations, except in cases where both tools were close to reaching the memory capacity of the computer itself.
In such cases, the memory peaks of both tools were similar, but Rulex Platform demonstrated better performance levels than Pandas.
Rulex Platform Pandas
More Rulex-Panda data performance comparison
If you are interested in learning more about our testing methodology and results, we have provided a detailed description on Rulex Community: Rulex Platform vs Pandas: Performance Comparison.
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