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Denodo Platform VS Spark Streaming

Compare Denodo Platform VS Spark Streaming and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Denodo Platform logo Denodo Platform

Denodo Platform is a popular platform that offers remarkable services for data integration.

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • Denodo Platform Landing page
    Landing page //
    2023-07-17
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

Denodo Platform videos

+ Add

Denodo Platform (Data Virtualization): Performance

More videos:

  • Review - Denodo Platform Installation and Operation
  • Review - Denodo Platform 8.0 January 2022 Update - Design Studio and Virtual DataPort Enhancements

Spark Streaming videos

+ Add

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

Category Popularity

0-100% (relative to Denodo Platform and Spark Streaming)

Denodo Platform

Spark Streaming

Development
100 100%
Development
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Online Services
100 100%
Online Services
0% 0
Data Management
0 0%
Data Management
100% 100

User comments

Share your experience with using Denodo Platform and Spark Streaming. For example, how are they different and which one is better?
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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.

Denodo Platform mentions (0)

We have not tracked any mentions of Denodo Platform yet. Tracking of Denodo Platform recommendations started around Jul 2021.

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 / 4 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

What are some alternatives?

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

Striim - Striim provides an end-to-end, real-time data integration and streaming analytics platform.

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

HVR - Your data. Where you need it. HVR is the leading independent real-time data replication solution that offers efficient data integration for cloud and more.

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

Celigo Data Loader - Celigo is an advanced platform that comes with exclusive service data loading in a smooth and effective way.

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

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