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Machine Learning & Data Science · head to head

Apache Spark MLlib vs TradeGecko

Apache Spark MLlib logo

Apache Spark MLlib

Machine Learning & Data Science

Scalable machine learning on Apache Spark

From
Free
Rated
-
TradeGecko logo

TradeGecko

Inventory Management

Complete inventory and order management platform

From
On request
Rated
-

The short version

  • Only Apache Spark MLlib has a free tier, so it costs nothing to try first.
  • Each has a real cost: Apache Spark MLlib apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.; TradeGecko the vendor's own pricing page as captured by the Internet Archive on 2019 listed a Lite plan at $79 per month billed annually (or $99 billed monthly) including 2 users, 1 sales channel integration, and 300 sales orders per month, with additional users at $50 per user per month, additional sales channels at $50 per channel per month, and additional orders at $10 per package of 100; a lower tier included 150 sales orders per month with overage at $20 per package of 100 orders; TradeGecko was later acquired and its cloud service was shut down in 2020 with customers migrated to Intuit's QuickBooks Commerce
  • They diverge on capability: Apache Spark MLlib covers Classification, TradeGecko covers Inventory management.

Where they differ

Only the attributes on which Apache Spark MLlib and TradeGecko actually diverge.

Attributes where Apache Spark MLlib and TradeGecko differ
AttributeApache Spark MLlibTradeGecko
Starting priceFreeOn request
Pricing modelopen-sourcesubscription
Free tierYesNo
PlatformsLinux, macOS, WindowsWeb, Mobile app, Cloud-based
CategoryMachine Learning & Data ScienceInventory Management
Founded19992012

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Apache Spark MLlib

  • Classification
  • Regression
  • Clustering
  • Collaborative filtering
  • Feature engineering
  • Apache Spark
  • Hadoop
  • Kafka

Only in TradeGecko

  • Inventory management
  • Order management
  • Purchase order automation
  • Supplier management
  • Multi-location support
  • Analytics dashboard
  • API integration
  • Shopify

What people use each for

The jobs each tool is most often brought in to do.

Apache Spark MLlib

  • Large-scale distributed machine learning on Spark clustersnot TradeGecko
  • Classification and regression with decision trees, random forests, gradient-boosted treesnot TradeGecko
  • Clustering with K-means and Gaussian Mixture Modelsnot TradeGecko

TradeGecko

  • Wholesale managementnot Apache Spark MLlib
  • Distribution operationsnot Apache Spark MLlib
  • Multichannel sellingnot Apache Spark MLlib
  • B2B commercenot Apache Spark MLlib

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Apache Spark MLlib

  • Apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.

TradeGecko

  • The vendor's own pricing page as captured by the Internet Archive on 2019 listed a Lite plan at $79 per month billed annually (or $99 billed monthly) including 2 users, 1 sales channel integration, and 300 sales orders per month, with additional users at $50 per user per month, additional sales channels at $50 per channel per month, and additional orders at $10 per package of 100; a lower tier included 150 sales orders per month with overage at $20 per package of 100 orders; TradeGecko was later acquired and its cloud service was shut down in 2020 with customers migrated to Intuit's QuickBooks Commerce

Pricing, plan by plan

Apache Spark MLlib

Free

No published plan breakdown. See the Apache Spark MLlib review.

TradeGecko

On request
  • Essentials$99/month
    • Basic inventory
    • 5 users
    • Standard support
  • Professional$249/month
    • Advanced features
    • 15 users
    • Priority support
  • Enterprise$499/month
    • Full features
    • 25 users
    • Dedicated support

Which should you pick?

Choose Apache Spark MLlib if

  • You need classification.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want regression.

Choose TradeGecko if

  • You need inventory management.
  • You work on Web, Mobile app, Cloud-based.
  • You also want order management.

Questions people ask

Is Apache Spark MLlib or TradeGecko better?
Neither clearly leads. Apache Spark MLlib starts at Free and TradeGecko at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Spark MLlib or TradeGecko?
Apache Spark MLlib has a free tier; the other does not. Paid plans start at Free for Apache Spark MLlib and On request for TradeGecko.
Does Apache Spark MLlib or TradeGecko run on more platforms?
Apache Spark MLlib runs on Linux, macOS, Windows. TradeGecko runs on Web, Mobile app, Cloud-based.
Can I use Apache Spark MLlib for free?
Yes. Apache Spark MLlib has a free tier, so you can try it without paying. TradeGecko starts at On request.
What is Apache Spark MLlib best used for?
Apache Spark MLlib is most often used for large-scale distributed machine learning on spark clusters, classification and regression with decision trees, random forests, gradient-boosted trees, clustering with k-means and gaussian mixture models. Of those, large-scale distributed machine learning on spark clusters and classification and regression with decision trees, random forests, gradient-boosted trees are not what TradeGecko is typically brought in for.
What can Apache Spark MLlib do that TradeGecko cannot?
Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering. TradeGecko covers Inventory management, Order management, Purchase order automation, Supplier management.

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