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Spark Streaming VS Hazelcast

Compare Spark Streaming VS Hazelcast and see what are their differences

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

Spark Streaming logo Spark Streaming

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

Hazelcast logo Hazelcast

Clustering and highly scalable data distribution platform for Java
  • Spark Streaming Landing page
    Landing page //
    2022-01-10
  • Hazelcast Landing page
    Landing page //
    2023-05-05

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

Hazelcast videos

+ Add

Hazelcast Introduction and cluster demo

More videos:

  • Review - Comparing and Benchmarking Data Grids Apache Ignite vs Hazelcast
  • Demo - Hazelcast Cloud Enterprise - Getting Started Demo Video

Category Popularity

0-100% (relative to Spark Streaming and Hazelcast)

Spark Streaming

Hazelcast

Stream Processing
100 100%
Stream Processing
0% 0
Databases
0 0%
Databases
100% 100
Data Management
100 100%
Data Management
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

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

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
Be the first one to post

Hazelcast Reviews

HazelCast - Redis Replacement
Hazelcast IMDG provides a Discovery Service Provider Interface (SPI), which allows users to implement custom member discovery mechanisms to deploy Hazelcast IMDG on any platform. Hazelcast® Discovery SPI also allows you to use third-party software like Zookeeper, Eureka, Consul, etcd for implementing custom discovery mechanism.
Source: hazelcast.org

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

Hazelcast mentions (0)

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

What are some alternatives?

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

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

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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

memcached - High-performance, distributed memory object caching system

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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