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Energyworx Platform VS Spark Streaming

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

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  4. » Alternatives

Energyworx Platform logo Energyworx Platform

Meter Data Management

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • Energyworx Platform Landing page
    Landing page //
    2021-08-01
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

Energyworx Platform videos

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Spark Streaming videos

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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 Energyworx Platform and Spark Streaming)

Energyworx Platform

Spark Streaming

Energy And Utilities Vertical Software
100 100%
Energy And Utilities Vertical Software
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Data Management
0 0%
Data Management
100% 100

User comments

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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.

Energyworx Platform mentions (0)

We have not tracked any mentions of Energyworx Platform yet. Tracking of Energyworx Platform recommendations started around Mar 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 Energyworx Platform and Spark Streaming, you can also consider the following products

Oracle DataRaker - Oracle DataRaker unlocks smart meter data and transforms it into compelling, quantifiable, and actionable results with low upfront investment and risk.

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

Gridstream MDMS - Gridstream MDMS is a standards-based system designed to rigorously process and prepare data for a variety of utility programs and operations.

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

The PI System - With the PI System, OSIsoft customers have reduced costs, opened new revenue streams, extended equipment life, increased production capacity, and more.

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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