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Spark Streaming VS Lightbend Akka Platform

Compare Spark Streaming VS Lightbend Akka Platform 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.

Lightbend Akka Platform logo Lightbend Akka Platform

Lightbend Fast Data Platform is the easy on-ramp to successful streaming Fast Data applications.
  • Spark Streaming Landing page
    Landing page //
    2022-01-10
  • Lightbend Akka Platform Landing page
    Landing page //
    2023-06-18

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

Lightbend Akka Platform videos

No Lightbend Akka Platform videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Spark Streaming and Lightbend Akka Platform)

Spark Streaming

Lightbend Akka Platform

Stream Processing
83 83%
Stream Processing
17% 17
Big Data
73 73%
Big Data
27% 27
Data Management
100 100%
Data Management
0% 0
Databases
0 0%
Databases
100% 100

User comments

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Social recommendations and mentions

Based on our record, Spark Streaming should be more popular than Lightbend Akka Platform. 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 / 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

Lightbend Akka Platform mentions (1)

  • jLovely Lightbend
    Akka Platform includes Akka Cloud Platform for AWS and GCP (with Azure coming soon) and Akka Data Pipelines. Together, you get the full power of Akka reactive microservices frameworks and streaming Data pipelines to run on-premise or in the cloud. - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing Spark Streaming and Lightbend Akka Platform, you can also consider the following products

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

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

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

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

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

Tigon - Tigon is an open source real-time stream processing framework built on top of Apache Hadoop and Apache HBase.

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