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OpenZoo VS Spark Streaming

Compare OpenZoo VS Spark Streaming and see what are their differences

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Contents:
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  4. » Alternatives

OpenZoo logo OpenZoo

OpenZoo is an open-source, distributed, stream and batch processing framework.

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • OpenZoo Landing page
    Landing page //
    2022-03-17
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

OpenZoo 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 OpenZoo and Spark Streaming)

OpenZoo

Spark Streaming

Stream Processing
15 15%
Stream Processing
85% 85
Big Data
17 17%
Big Data
83% 83
Data Management
0 0%
Data Management
100% 100
Analytics
21 21%
Analytics
79% 79

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.

OpenZoo mentions (0)

We have not tracked any mentions of OpenZoo yet. Tracking of OpenZoo 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 OpenZoo and Spark Streaming, you can also consider the following products

Leo Platform - Leo enables teams to innovate faster by providing visibility and control for data streams.

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

Streamdata.io - Streamdata.io provides a proxy-as-a-service that turns any request-response REST APIs into an event-driven streaming API.

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

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

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

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