Polygon vs Harmony
Draw a chart comparing Polygon with Harmony on the following metrics: - Average tx_fee - Average number of transactions per hour
Introduction
In this investigation, we'll be going over the number of transactions and average transaction fee (in gwei) per (hour and day) between the two networks and comparing how they match up to one another.
NOTE: Both Polygon
and Harmony
seem to be missing some data points, so the results are not fully complete.
Polygon
is missing at leastMay 1st
data (fromtransactions
table)Harmony
is missing the first few weeks/months
On the daily timeframe, we can see things in a much smoother way and what is seen is the massive spike that Polygon
has around the dates of the collapse of UST
(Terra stablecoin) where there was massive fear in the markets surrounding stablecoins and a lot of people probably exited their positions and re-balanced their portfolios accordingly around that event. We can also see a similar spike took place around the same time for Harmony
but the spike was much smaller compared to Polygon
s. The biggest spike for Harmony
comes in around April the 10th, although I am not sure what event cause this spike.
Ebs and flows of gas
Difference between the gas (gwei
), between the two networks Polygon
- Harmony
. This should give us an idea of which network had the "biggest" spike and when, when comparing the two. When the difference between them is +ve
then Polygon
had a bigger spike than Harmony
in terms of gwei
and when -ve
Harmony
one had the bigger spike in gas (gwei
).
This is not representative in terms of what network was most expensive in terms of $ and should not be interpreted as such. Both tokens have their own prices and also their own transactions/day which are very different (see later on), so this is just a creative measure to compare the spike magnitude (if you will).
THIS IS A CREATIVE METRIC, the y-axis
is not meant to say much in terms of the value displayed.
Hourly & Daily
They both convey what was seen earlier in the Average Gas Price (gwei
) charts but help us understand the "ebs and flows" of their differences. The daily one for example reveals that there was a lot of "congestion" (probably) for Polygon
around January
(2 spikes back to back) and later on the one, we identified earlier around the dates of the collapse of UST
(May 8th
- May 12th
).
On the other hand, we can see that Harmony
has a massive potential-congestion spike on the 10th of April
.
Personally, I prefer the daily view as it's much cleaner and tells us pretty much the same information. Although the hourly view reveals that there was a massive (relatively speaking) spike in transactions on the Harmony
network on the 24th of January
.
When looking at the daily transactions we can see that Polygon
had an incredible run since launch which is slowly slowing down whereas on the other hand Harmony
had a, relatively speaking, slower growth curve (from when data is available until now), and has slowed down ever since that initial spike on Dec 6th 2021
, with the exception of the more recent Mar 31st
spike.
In both cases what we can see is that there were a lot more unique users for Harmony
around the period of Nov 24th
to Apr 7th
but ever since has slowed down significantly, similarly to Polygon
s daily unique addresses.
What we can see in the following graphs is when the network was the most vibrant, in other words when most transactions per user were taking place in each network. What we can see is that Polygon
has been growing to have a pretty strong user base vs Harmony
which has faded away post that spike we identified earlier.
What we can get a feeling for (proxy) here is network revenue spikes in the native tokens. What can be seen is that Harmony
had a few spikes around the days/weeks where the unique users daily have spiked, whereas Polygon
has had multiple of those spikes at different times with increasing frequency lately.
Summary
Harmony
, with the launch of DeFi Kingdoms has created a vibrant ecosystem, the likes of which are slowly fading away. Either that is due to the bear market or otherwise. On the other hand, Polygon
which has a lot of different big dapps
launched on it has continued to do well in terms of a few of the metrics we've explored.
Evaluation
There are more metrics that are needed here for a proper comparison, such as the number of contracts deployed in each network & how many unique developers are still in each network. Both of which could be their own bounty.