Software Alternatives & Reviews

Spark Streaming VS Test Data Management

Compare Spark Streaming VS Test Data Management and see what are their differences

Spark Streaming logo Spark Streaming

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

Test Data Management logo Test Data Management

Learn how Informatica's intelligent data security TDM solution allows automated provisioning of masked and synthetically generated data to meet the needs of test, development, and QA teams.
  • Spark Streaming Landing page
    Landing page //
    2022-01-10
  • Test Data Management Landing page
    Landing page //
    2023-01-25

Spark Streaming videos

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

Test Data Management videos

Test Data Management explained in 6 Minutes (ReliableInformationSystems.tv)

More videos:

  • Review - test data management in software testing | testingshala | manual testing concepts | complete details
  • Review - Case Study: KeyBank Transforming Test Data Management for Automated Testing (TDM)

Category Popularity

0-100% (relative to Spark Streaming and Test Data Management)
Stream Processing
100 100%
0% 0
Development
0 0%
100% 100
Data Management
100 100%
0% 0
Software Testing
0 0%
100% 100

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.

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

Test Data Management mentions (0)

We have not tracked any mentions of Test Data Management yet. Tracking of Test Data Management recommendations started around Mar 2021.

What are some alternatives?

When comparing Spark Streaming and Test Data Management, you can also consider the following products

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

DATPROF - We simplify getting the right test data in the right place at the right time.

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

CloudTDMS - CloudTDMS automates the process of test data generation for dev & test purposes. While at the same time ensuring compliance to regulatory and organisational policies & standards as well as Data Discovery & Profiling.

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

CA Test Data Manager - Broadcom Inc. (NASDAQ: AVGO) is a global technology leader that designs, develops and supplies semiconductor and infrastructure software solutions.