
Apache Flink
Hadoop
Apache Hive
Apache Storm
Amazon Athena
Apache Beam
Amazon Kinesis
Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

MoxMythic
Magic: The Gathering Arena
MTGA Tracker
Mana Grove
MTG Arena Tool
Scan Your MTG
Render
A powerful Magic: The Gathering card search

Which is more popular?
Based on our record, Scryfall should be more popular than Apache Spark. It has been mentioned 419 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | spark.apache.org | scryfall.com |
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What each product offers, as listed by its team.


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An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Scryfall yet.
Walkthroughs and reviews on video.
Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing
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Like Google for MTG - Scryfall!
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Apache Spark and Scryfall. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled...
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help...
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the...
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Recommendations tracked on public social media and blogs since March 2021.


Feature transformations should be deterministic: The same input should produce the same output when the same feature definition and configuration are applied. This is what allows training, backtesting, and live inference to remain... - Source: dev.to / 5 months ago
Apache Spark provides distributed in-memory data processing and is the appropriate tool when the data set to be reconciled does not fit in a single machine's memory, or when parallelizing the comparison across a cluster would reduce... - Source: dev.to / 6 months ago
When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVM—such as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data... - Source: dev.to / 7 months ago
Yeah I wonder why https://scryfall.com/ never gets a C&D. I think the problem is money changing hands which isn't happening. - Source: Hacker News / almost 2 years ago
You can use sites like Scryfall to look up what cards are legal in standard or look up what sets are legal a card you want to use lines up having appeared in one of those sets your good to go. What's in Standard will also give you a... Source: almost 3 years ago
For more info you can look up the gatherer (or if you want an actually good site with the same info scryfall). Source: almost 3 years ago
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