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Hazelcast VS Spark Streaming

Compare Hazelcast VS Spark Streaming and see what are their differences

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

Hazelcast logo Hazelcast

Clustering and highly scalable data distribution platform for Java

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • Hazelcast Landing page
    Landing page //
    2023-05-05
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

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

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 Hazelcast and Spark Streaming)

Hazelcast

Spark Streaming

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

User comments

Share your experience with using Hazelcast and Spark Streaming. 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 Hazelcast and Spark Streaming

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

Spark Streaming Reviews

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

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.

Hazelcast mentions (0)

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

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

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

memcached - High-performance, distributed memory object caching system

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

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

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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