Software Alternatives, Accelerators & Startups

Google Data Studio VS Spark Streaming

Compare Google Data Studio VS Spark Streaming and see what are their differences

Google Data Studio logo Google Data Studio

Data Studio turns your data into informative reports and dashboards that are easy to read, easy to share, and fully custom. Sign up for free.

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • Google Data Studio Landing page
    Landing page //
    2023-05-09
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

Google Data Studio videos

5 Reasons Why Google Data Studio is Amazing

More videos:

  • Review - Why I switched to Google Data Studio
  • Review - I Evaluated 4 BI Tools: Power BI, Tableau, Google Data Studio, & Sisense. Here's What I Found.

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

Category Popularity

0-100% (relative to Google Data Studio and Spark Streaming)
Data Dashboard
100 100%
0% 0
Stream Processing
0 0%
100% 100
Business Intelligence
100 100%
0% 0
Data Management
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 Google Data Studio and Spark Streaming

Google Data Studio Reviews

25 Best Statistical Analysis Software
With its intuitive interface and extensive customization options, Google Data Studio makes it easy for users to create captivating visualizations of their data, regardless of their technical expertise.
11 Metabase Alternatives
Google Data Studio is a platform that acts as a Google drive and saves hundreds of files at a time and makes reports out of them for business needs. Data studio offers to add a bulk of data files at a time and this application will make a report that will save a lot of their time and helps them make better decisions for their businesses and other useful tasks. Representers...
Best Google Data Studio Alternatives (Self-Service BI)
Google Data Studio is a reporting tool that nicely integrates within GA360 ecosystem (alongside with Google BigQuery and Google Sheet) and evolving on a monthly basis with an intuitive interface to explore and build insights. And it's completely free.
5 Metabase Alternatives You Don't Need a PhD to Use
Google Data Studio is a free tool and amongst the more visualization-focused alternatives to Metabase. Google Data Studio helps convert data into shareable reports for better metrics, reporting, and communication.
8 Databox Alternatives: Which One Is The Best?
Basic visualization and reporting are easy with Google Data Studio. However, it does not support the flexibility and customizability of visualization. So lack of visualization can be considered as a disadvantage of Google Data Studio.
Source: hockeystack.com

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 should be more popular than Google Data Studio. 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.

Google Data Studio mentions (2)

  • 5 tools for Core Web Vitals to measure and improve website UX
    A tool to visualize data, for example, based on reports like CrUX, is Data Studio. It allows you to create dashboards based on source files and thus capture trends in user behavior. - Source: dev.to / about 2 years ago
  • GCP solution for ML model management (ML Ops)?
    I'm guessing you're looking for a database product or something like Data Studio. Whats your use case? Source: over 2 years ago

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 Google Data Studio and Spark Streaming, you can also consider the following products

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

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

Geckoboard - Get to know Geckoboard: Instant access to your most important metrics displayed on a real-time dashboard.

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

Databox - Databox is Business Analytics platform that helps companies deliver insights and analytics anytime and anywhere.

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