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Listrak VS Spark Streaming

Compare Listrak VS Spark Streaming and see what are their differences

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

Listrak logo Listrak

Listrak provides a single, integrated digital marketing platform that allows omnichannel retailers to reach their audience through email marketing and mobile.

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • Listrak Landing page
    Landing page //
    2023-09-19
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

Listrak videos

+ Add

Listrak Workflow Training - Abandoned Cart Campaigns - SMS & Email

More videos:

  • Review - LISTRAK CRM
  • Review - Listrak Employees Recruitment 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 Listrak and Spark Streaming)

Listrak

Spark Streaming

Business & Commerce
100 100%
Business & Commerce
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Email Marketing
100 100%
Email Marketing
0% 0
Data Management
0 0%
Data Management
100% 100

User comments

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

Listrak mentions (0)

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

What are some alternatives?

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

Marin Software - Optimize your Search, Social & Display ads across channels and devices. Marin Software, the leading cross-channel performance advertising platform.

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

AdRoll - AdRoll is a leader in retargeting display advertising. Draw the right people with the right strategies.

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

Exponea - Exponea Packages. Our happiest customers are medium and large-sized B2C companies that generate a major part of their revenue online. Their average Net Promoter Score® is over 60.

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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