Software Alternatives & Reviews

Spark Streaming VS Monkkee

Compare Spark Streaming VS Monkkee and see what are their differences

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

Monkkee logo Monkkee

Keep a private journal securely on the Internet – to provide a convenient user experience your...
  • Spark Streaming Landing page
    Landing page //
    2022-01-10
  • Monkkee Landing page
    Landing page //
    2023-07-29

Spark Streaming videos

Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

Monkkee videos

Journal Monkkee

Category Popularity

0-100% (relative to Spark Streaming and Monkkee)
Stream Processing
100 100%
0% 0
Note Taking
0 0%
100% 100
Data Management
100 100%
0% 0
Office & Productivity
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Spark Streaming and Monkkee

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
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Monkkee Reviews

  1. Most secure journal app, easy to use and free

    Monkkee is so secure that the entries can be read only by you. If you lost the password it is lost forever. No one has access to even your password. It provides client side encryption i.e the entries are encrypted even before they are transferred to the server. It is easy to use. You can categorize your diary entries using tags.

Social recommendations and mentions

Based on our record, Spark Streaming seems to be more popular. It has been mentiond 3 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.

Spark Streaming mentions (3)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago

Monkkee mentions (0)

We have not tracked any mentions of Monkkee yet. Tracking of Monkkee recommendations started around Mar 2021.

What are some alternatives?

When comparing Spark Streaming and Monkkee, you can also consider the following products

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

The Guide - The Guide is a two-pane outliner - a program that allows you to arrange text notes in a tree-like...

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Ideanote - Ideanote is the #1 rated Idea Management solution for companies of all sizes. Collect, develop and manage more of the right ideas from customers and employees to drive your growth.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

x-whnb - Download x-whnb for free.