
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.

Microsoft Surface Laptop
MacBook Pro
Surface Studio
MacBook 12"
Microsoft Surface Book 2 (15-inch)
iPad Pro
Microsoft Surface Book 2
A new, more powerful Surface Pro

Which is more popular?
Based on our record, Apache Spark seems to be more popular. It has been mentioned 80 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | spark.apache.org | microsoft.com |
| Pricing | — | |
| 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 Surface Pro yet.
Walkthroughs and reviews on video.
Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing
More videos
Surface Pro 7 Review - Is This Perfect?
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Apache Spark and Surface Pro. 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...
We have no reviews of Surface Pro yet. Be the first one to post
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 / 5 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
Tracking Surface Pro since Mar 2021.
When comparing Apache Spark and Surface Pro, 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 Surface Pro:

Microsoft's answer to the MacBook Air
Compare Microsoft Surface Laptop to Apache Spark or Surface Pro:

Open-source software for reliable, scalable, distributed computing
Compare Hadoop to Apache Spark or Surface Pro:

The new MacBook Pro with TouchBar and more
Compare MacBook Pro to Apache Spark or Surface Pro:

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

A brilliant screen for your ideas, from Microsoft
Compare Surface Studio to Apache Spark or Surface Pro: