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Sisense VS Google Cloud Dataflow

Compare Sisense VS Google Cloud Dataflow and see what are their differences

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Embedded Analytics built exclusively for SaaS applications. featured
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Sisense logo Sisense

The BI & Dashboard Software to handle multiple, large data sets.

Google Cloud Dataflow logo Google Cloud Dataflow

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
  • Sisense Landing page
    Landing page //
    2023-10-11

Behind Sisense's drag-and-drop user interface and eye-grabbing visualization options lies a technology that forever changes the world of business analytics software. By removing limitations to data size and performance imposed by in-memory and relational databases, Sisense enables any business to deliver interactive terabyte-scale analytics to thousands of users within hours

  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03

Sisense videos

+ Add

I Evaluated 4 BI Tools: Power BI, Tableau, Google Data Studio, & Sisense. Here's What I Found.

More videos:

  • Review - Sisense Business Intelligence Software: Product Spotlight
  • Demo - Sisense Product Demo

Google Cloud Dataflow videos

+ Add

Introduction to Google Cloud Dataflow - Course Introduction

More videos:

  • Review - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • Review - Apache Beam and Google Cloud Dataflow

Category Popularity

0-100% (relative to Sisense and Google Cloud Dataflow)

Sisense

Google Cloud Dataflow

Data Dashboard
73 73%
Data Dashboard
27% 27
Big Data
0 0%
Big Data
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
Data Visualization
100 100%
Data Visualization
0% 0

User comments

Share your experience with using Sisense and Google Cloud Dataflow. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Sisense and Google Cloud Dataflow

Sisense Reviews

25 Best Reporting Tools for 2022
Sisense is an agile Business Analytics and Reporting tool that comes with MachineLearning and automation features to deliver Big Data Reporting solutions. It accelerates the data cleaning, report generation, and data ingestion process. Sisense offers an interactive GUI interface for ETL process, modeling and data relationships. Users can install Sisense in Cloud,...
Source: hevodata.com
Top 5 Embedded Analytics Tools for Amazon Redshift (Plus 1 Bonus Option)
You can integrate the embedded version straight into your software, SaaS, or cloud applications. Sisense also offers data analytics and BI features. You can fully customize features such as dashboards, widgets, and data. It provides users with the ability to integrate with other applications to enable authenticated access to Sisense without providing separate login details.
Source: yurbi.com
The Best Data Visualization Tools - Top 30 BI Software
Sisense boasts that it is the only BI reporting software that lets any user easily transform data into stunning interactive reports. Its visualization capabilities offer a simple drag and drop interface which allow charts and more complex graphics, as well as interactive visualizations, to be easily created. You can connect directly to the relevant databases or apps, mash-up...
Source: improvado.io
15 Best Business Intelligence Tools For Small And Big Business
In addition to these features, Sisense also offers intuitive data crunching for beginners, making it a good option for those who are new to using BI solutions. On the other hand, if you are looking for scalability, extensibility, and flexibility, don’t worry. It also comes with API-first approaches for developers. If you’d like to learn more about what Sisense has to offer,...
Source: financesonline.com
List of 10 Best Business Intelligence Software Tools
In addition to these features, Sisense also offers intuitive data crunching for beginners, making it a good option for those who are new to using BI solutions. On the other hand, if you are looking for scalability, extensibility, and flexibility, don’t worry. It also comes with API-first approaches for developers. If you’d like to learn more about what Sisense has to offer,...
Source: financesonline.com

Google Cloud Dataflow Reviews

Top 8 Apache Airflow Alternatives in 2024
Google Cloud Dataflow is highly focused on real-time streaming data and batch data processing from web resources, IoT devices, etc. Data gets cleansed and filtered as Dataflow implements Apache Beam to simplify large-scale data processing. Such prepared data is ready for analysis for Google BigQuery or other analytics tools for prediction, personalization, and other purposes.
Source: blog.skyvia.com

Social recommendations and mentions

Based on our record, Google Cloud Dataflow seems to be more popular. It has been mentiond 14 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.

Sisense mentions (0)

We have not tracked any mentions of Sisense yet. Tracking of Sisense recommendations started around Mar 2021.

Google Cloud Dataflow mentions (14)

  • How do you implement CDC in your organization
    Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
  • Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
    This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
  • How are view/listen counts rolled up on something like Spotify/YouTube?
    I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
  • Best way to export several GCP datasets to AWS?
    You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
  • Why we don’t use Spark
    It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing Sisense and Google Cloud Dataflow, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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