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Apache Spark VS IBM Analytics Engine

Compare Apache Spark VS IBM Analytics Engine and see what are their differences

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Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

IBM Analytics Engine logo IBM Analytics Engine

Analytics Engine is a combined Apache Spark and Apache Hadoop service for creating analytics applications.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • IBM Analytics Engine Landing page
    Landing page //
    2023-07-11

Apache Spark

Categories
  • Databases
  • Big Data
  • Big Data Analytics
  • Big Data Infrastructure
Website spark.apache.org
Details $
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IBM Analytics Engine

Categories
  • Data Dashboard
  • Big Data
  • Data Warehousing
  • Big Data Tools
Website ibm.com
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Apache Spark videos

+ Add

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

IBM Analytics Engine videos

No IBM Analytics Engine videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Apache Spark and IBM Analytics Engine)

Apache Spark

IBM Analytics Engine

Databases
100 100%
Databases
0% 0
Data Dashboard
82 82%
Data Dashboard
18% 18
Big Data
94 94%
Big Data
6% 6
Stream Processing
100 100%
Stream Processing
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Spark and IBM Analytics Engine

Apache Spark Reviews

15 data science tools to consider using in 2021
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 significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
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 of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
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 Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

IBM Analytics Engine Reviews

We have no reviews of IBM Analytics Engine yet.
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Social recommendations and mentions

Based on our record, Apache Spark seems to be more popular. It has been mentiond 56 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / about 2 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 4 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 4 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 10 months ago
View more

IBM Analytics Engine mentions (0)

We have not tracked any mentions of IBM Analytics Engine yet. Tracking of IBM Analytics Engine recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Spark and IBM Analytics Engine, you can also consider the following products

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Snowflake - Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

Hadoop - Open-source software for reliable, scalable, distributed computing

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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