Software Alternatives & Reviews

Egnyte VS Spark Streaming

Compare Egnyte VS Spark Streaming and see what are their differences

Egnyte logo Egnyte

Enterprise File Sharing

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • Egnyte Landing page
    Landing page //
    2023-09-14
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

Egnyte videos

Egnyte File Sharing Demo

More videos:

  • Review - Egnyte vs Box: Enterprise Online File Storage and Syncing
  • Review - Power of Egnyte for Users

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

Category Popularity

0-100% (relative to Egnyte and Spark Streaming)
Cloud Storage
100 100%
0% 0
Stream Processing
0 0%
100% 100
Monitoring Tools
100 100%
0% 0
Data Management
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 Egnyte and Spark Streaming

Egnyte Reviews

13 Best Free Dropbox Alternatives for File Sharing
The Egnyte service offers many different payment tiers and plans, and many users like that they do not have to commit to long contracts, but can pay monthly for service. Current rates for Egnyte are about twenty five dollars per month on average for unlimited storage space with the service. Smaller packages can be arranged for casual users, personal accounts and small...
Source: brainyhubs.com

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
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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.

Egnyte mentions (0)

We have not tracked any mentions of Egnyte yet. Tracking of Egnyte 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 / 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

What are some alternatives?

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

Google Drive - Access and sync your files anywhere

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

Dropbox - Online Sync and File Sharing

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

Box - Box offers secure content management and collaboration for individuals, teams and businesses, enabling secure file sharing and access to your files online.

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