
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.

Hevy
Fitbod
JEFIT
MyFitnessPal
Freeletics
FitNotes
Strava
Strenght training logger.

Which is more popular?
Based on our record, Apache Spark seems to be a lot more popular than Strong.app. While we know about 80 links to Apache Spark, we've tracked only 3 mentions of Strong.app.
Website, pricing, platforms and company facts side by side.
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| Website | spark.apache.org | strong.app |
| Pricing | — | |
| Company | — | Startup from the United States |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
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 Strong.app yet.
Walkthroughs and reviews on video.
Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing
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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 Strong.app. 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...
The aptly named “Strong” is a simple but effective weightlifting app, offering an intuitive way to track and record your workouts. Available on Apple Watch as well as mobile devices, its value proposition is quite...
Strong: Exercise Gym Log is a gym log similar to FitNotes. You can input all of your exercise routines and track them over time. It includes some unique tools like a warm-up calculator and tips on how to improve...
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
I'm using Strava to track endurance work and strong.app for lifting. I'm pretty happy with Strong, but it is a subscription app if you want to save more than three custom workout routines (they also have some of the popular beginner... Source: over 4 years ago
You should all workouts with a app like strong.app or any other you find. Fitbod also seems to have good stuff now. Check their reviews etc. Source: almost 5 years ago
Looks like a great app! I run 5/3/1 and this is perfect. Currently I use https://strong.app but I'd love to see a way to see my weekly volume per muscle group. Is that something you are planning to add on Hardy? - Source: Hacker News / over 5 years ago
When comparing Apache Spark and Strong.app, you can also consider the following products.

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Compare Apache Flink to Apache Spark or Strong.app:

Simple workout logging, insightful analytics, and a growing community of gym athletes.
Compare Hevy to Apache Spark or Strong.app:

Open-source software for reliable, scalable, distributed computing
Compare Hadoop to Apache Spark or Strong.app:

Personalized Strength-Training powered by Machine Learning
Compare Fitbod to Apache Spark or Strong.app:

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
Compare Apache Hive to Apache Spark or Strong.app:

Jefit is the #1 popular gym workout app for Android and iOS. Jefit allows you to manage your training routine and keep track of your workout progress easily.
Compare JEFIT to Apache Spark or Strong.app: