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AWS Data Wrangler VS Sisense

Compare AWS Data Wrangler VS Sisense and see what are their differences

Qrvey
Embedded Analytics built exclusively for SaaS applications. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

AWS Data Wrangler logo AWS Data Wrangler

Pandas on AWS. Contribute to awslabs/aws-data-wrangler development by creating an account on GitHub.

Sisense logo Sisense

The BI & Dashboard Software to handle multiple, large data sets.
  • AWS Data Wrangler Landing page
    Landing page //
    2023-08-29
  • 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

AWS Data Wrangler videos

+ Add

AWS Tutorials - Introduction to AWS Data Wrangler

More videos:

  • Review - AWS Data Wrangler: Get Glue Catalog Table Description
  • Review - AWS Data Wrangler: Write Parquet to AWS S3

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

Category Popularity

0-100% (relative to AWS Data Wrangler and Sisense)

AWS Data Wrangler

Sisense

Databases
100 100%
Databases
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100

User comments

Share your experience with using AWS Data Wrangler and Sisense. 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 AWS Data Wrangler and Sisense

AWS Data Wrangler Reviews

We have no reviews of AWS Data Wrangler yet.
Be the first one to post

Sisense Reviews

Top 10 AI Data Analysis Tools in 2024
One of the standout features of Sisense is its ability to visualize AI and machine learning-enhanced analytics through clear charts and graphs. Additionally, it supports natural language queries, allowing users to ask questions in everyday language and receive insights generated by natural language generation and generative AI technologies.
Source: powerdrill.ai
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

Social recommendations and mentions

Based on our record, AWS Data Wrangler seems to be more popular. It has been mentiond 4 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.

AWS Data Wrangler mentions (4)

  • Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
    I had no problem with awswrangler (https://github.com/aws/aws-sdk-pandas) and it supports reading and writing partitions which was really helpful and a few other optimizations that made it a great tool. Source: 6 months ago
  • Redshift API vs. other ways to connect?
    Awslabs has developed their own package for this and given it's for their product, seem likely to maintain it. https://github.com/awslabs/aws-data-wrangler. Source: over 2 years ago
  • Parquet files
    AWS data wrangler works well. it's a wrapper on pandas: https://github.com/awslabs/aws-data-wrangler. Source: over 2 years ago
  • Go+: Go designed for data science
    Yep, agreed. Go is a great language for AWS Lambda type workflows. Python isn't as great (Python Lambda Layers built on Macs don't always work). AWS Data Wrangler (https://github.com/awslabs/aws-data-wrangler) provides pre-built layers, which is a work around, but something that's as portable as Go would be the best solution. - Source: Hacker News / about 3 years ago

Sisense mentions (0)

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

What are some alternatives?

When comparing AWS Data Wrangler and Sisense, you can also consider the following products

Dask - Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love

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.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Celery - Celery helps innovative companies set up pre-order or custom crowdfunding campaigns anywhere.

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.

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