Coinpanda Reviews

1. Kevin

   over 6 years ago
   Very simple to use

   I am really happy with how easy Coinpanda is. I trade mostly on Coinbase and Binance and I could import all my transactions without issues. Will recommend this product to all crypto traders.

   🏁 Competitors: CoinTracker, Koinly, ZenLedger, Accointing, BearTax

   👍 Pros:    Easy user interface|User-friendly|Great customer support

Google Cloud Dataflow Reviews

Coinpanda mentions (8)

• Why doesn’t snowtrace csv export show the price at time of txn?

  I was waiting on koinly.io to incorporate Avalanche, but then someone mentioned coinpanda.io. I'm looking into it as an automated transaction compiler for tax purposes. Source: over 4 years ago

• Calculate P&L for a financial year

  This website has something http://coinpanda.io but it is asking for a lot of money. Source: over 4 years ago

• I’ve tried crypto tax software so you don’t have to.

  I’ve moved to coin panda next - https://coinpanda.io/ Great selection of exchanges and all sorts of wallets, compliance with both US regulations and EU regulations. But UI/UX was a bit complicated to me compared to Koinly + Koinly was 10$ cheaper for my amount of transactions 😁 Obvious move to Koinly. Source: almost 5 years ago

• Goals & porftolio tracking product

  What I mean is: you have entered your entries + goals for selling coins on futures and spot & set goals that you want to reach with your porftolio? Cointracker.io & https://coinpanda.io/ are great but they don't really give me this possibility, excel or google sheet with some advanced scripts can deal with this issue but nothing else. Feedback is much appreciated! Source: almost 5 years ago

• US tax strategies

  I was reading coinpanda.io musings on how the IRS breaks down staking for "business" vs "hobby". Source: almost 5 years ago

Google Cloud Dataflow mentions (14)

• How do you implement CDC in your organization

  Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 3 years ago

• Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!

  This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: almost 4 years ago

• How are view/listen counts rolled up on something like Spotify/YouTube?

  I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: almost 4 years ago

• Best way to export several GCP datasets to AWS?

  You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: almost 4 years ago

• Why we don’t use Spark

  It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / over 4 years ago