Software Alternatives & Reviews

Spark Streaming VS Matillion

Compare Spark Streaming VS Matillion and see what are their differences

Spark Streaming logo Spark Streaming

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

Matillion logo Matillion

Matillion is a cloud-based data integration software.
  • Spark Streaming Landing page
    Landing page //
    2022-01-10
  • Matillion Landing page
    Landing page //
    2023-08-06

Spark Streaming

Categories
  • Big Data
  • Stream Processing
  • Data Management
  • Analytics
Website spark.apache.org
Pricing URL-

Matillion

Categories
  • Data Integration
  • ETL
  • Monitoring Tools
  • Integrations Platform As A Service
Website matillion.com
Pricing URL Official Matillion Pricing

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

Matillion videos

Introducing Matillion ETL for Amazon Redshift | Available on AWS Marketplace

More videos:

  • Review - Thrive Market - "Able to Deliver Better Value and Service" | Matillion ETL for Amazon Redshift
  • Review - Introducing Matillion ETL for Snowflake | Available on Azure, AWS and GCP Marketplaces

Category Popularity

0-100% (relative to Spark Streaming and Matillion)
Stream Processing
100 100%
0% 0
Data Integration
0 0%
100% 100
Data Management
100 100%
0% 0
ETL
0 0%
100% 100

User comments

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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 Matillion

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
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Matillion Reviews

Top 14 ETL Tools for 2023
Unfortunately, Matillion suffers from a similar drawback as Striim does: the number of possible SaaS sources in Matillion is lacking compared to other options on this list. In addition, a reviewer on G2 (where Matillion has 4.4 out of 5 stars) mentions that “the pricing model is difficult for light-usage clients. It is charged based on the time the virtual machine is turned...
Top 10 Fivetran Alternatives - Listing the best ETL tools
Matillion is a well-established data processing engine that offers advanced ETL/ELT and data transformation processes for larger enterprises.
Source: weld.app
Top 5 AWS Glue Alternatives: Best ETL Tools
Because you are charged based on the number of users utilizing the platform and the number of projects saved, the pricing can shift significantly. Pricing is available in the form of Credits, with prices starting at $2.00 per credit. When running Matillion ETL instances, Matillion Credits are needed to pay for the consumption of Virtual Core hours. One Matillion Credit is...
Source: hevodata.com
15 Best ETL Tools in 2022 (A Complete Updated List)
Matillion is a data transformation solution for cloud data warehouses. Matillion leverages the power of the cloud data warehouse to consolidate large data sets and quickly performs the necessary data transformations that make your data analytics-ready.
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
With over 70 native data source integrations, as well as an optional no-code graphical interface, Matillion makes loading your data into your warehouse of choice simple and straightforward. It also automates the data transformations you'll need in order to get your data ready for analysis with your favorite BI tool. Matillion bills hourly for usage, so it could also be...
Source: blog.panoply.io

Social recommendations and mentions

Based on our record, Spark Streaming should be more popular than Matillion. 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 / 2 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

Matillion mentions (1)

What are some alternatives?

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

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

Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

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

Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

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

Talend Data Services Platform - Talend Data Services Platform is a single solution for data and application integration to deliver projects faster at a lower cost.