Software Alternatives, Accelerators & Startups

DynamoDB VS Tableau

Compare DynamoDB VS Tableau and see what are their differences

DynamoDB logo DynamoDB

Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models.

Tableau logo 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.
  • DynamoDB Landing page
    Landing page //
    2023-03-18
  • Tableau Landing page
    Landing page //
    2023-10-18

DynamoDB videos

#13 - Amazon DynamoDB Basics In Under 5 Minutes [Tutorial For Beginners]

More videos:

  • Review - AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401)
  • Review - What is Amazon DynamoDB?

Tableau videos

Power BI vs Tableau 🔥 5 Factors to Choose a Winner

More videos:

  • Review - What is Tableau Desktop? | A Tableau Desktop Overview
  • Demo - Tableau Software Demo

Category Popularity

0-100% (relative to DynamoDB and Tableau)
Databases
100 100%
0% 0
Data Dashboard
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Business Intelligence
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 DynamoDB and Tableau

DynamoDB Reviews

9 Best MongoDB alternatives in 2019
Amazon DynamoDB is a nonrelational database. This database system provides consistent latency and offers built-in security, and in-memory caching. DynamoDB is a serverless database which scales automatically and backs up your data for protection
Source: www.guru99.com

Tableau Reviews

Top 10 AI Data Analysis Tools in 2024
Tableau Pulse, powered by Tableau AI, focuses on enhancing the user experience by delivering smart, personalized, and contextually relevant insights directly within the user's workflow. Leveraging the generative AI capabilities of Tableau AI, Tableau Pulse answers user queries and proactively suggests new questions, enriching the analytical process with automated analytics...
Source: powerdrill.ai
Embedded analytics in B2B SaaS: A comparison
A few options were disregarded from the start due to a hefty price tag, these were Looker, Tableau, Power BI, GoodData. A few options like Trevor.io, Preset, Observable were disregarded as they did not seem to fit our criteria (based on the evaluation matrix).
Source: medium.com
25 Best Statistical Analysis Software
Tableau is a top tool for data visualization that offers an easy-to-use interface and a comprehensive range of customization options. These features enable users to create compelling visualizations of their data.
Best 8 Redash Alternatives in 2023 [In Depth Guide]
Tableau is designed for everyone, including analysts, executives, and IT personnel needing a platform to process and examine data to find insights and share them with other team members via KPI dashboards.
Source: www.datapad.io
8 Alternatives to Apache Superset That’ll Empower Start-ups and Small Businesses with BI
We’ve written articles on this tool before. Read more about Tableau alternatives, and Tableau server alternatives for self-hosted tools.
Source: trevor.io

Social recommendations and mentions

Based on our record, DynamoDB seems to be a lot more popular than Tableau. While we know about 104 links to DynamoDB, we've tracked only 8 mentions of Tableau. 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.

DynamoDB mentions (104)

  • Understanding KeyConditionExpression and FilterExpression in DynamoDB
    DynamoDB is a powerful NoSQL database provided by AWS, designed to handle large amounts of data efficiently. However, for newcomers, understanding the nuances of querying DynamoDB tables can be challenging, particularly when it comes to the differences between KeyConditionExpression and FilterExpression. This blog post aims to clarify these concepts and provide practical examples of their usage. - Source: dev.to / 21 days ago
  • Event-Driven Architecture on AWS
    Event Producers: Generate streams of events, which can be implemented using straightforward microservices with AWS Lambda (for serverless computing), Amazon DynamoDB Streams (to captures changes to DynamoDB tables in real-time), Amazon S3 Event Notifications (Notify when certain events occur in S3 buckets) or AWS Fargate (a serverless compute engine for containers). - Source: dev.to / about 1 month ago
  • How to Build Your Own ChatGPT Clone Using React & AWS Bedrock
    The first is AWS DynamoDB which is going to act as our NoSQL database for our project which we’re also going to pair with a Single-Table design architecture. - Source: dev.to / about 1 month ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    DynamoDB - 25GB NoSQL DB EC2 - 750 hours per month of t2.micro or t3.micro(12mo). 100GB egress per month. - Source: dev.to / 4 months ago
  • Starting My AWS Certification Journey as a Certified Cloud Practitioner
    After two years, I moved to a Web3 startup where I was given a lead software engineer role. This new role gave me more hands-on experience with AWS, where I've learned to implement serverless technologies like Lambda and DynamoDB. - Source: dev.to / 6 months ago
View more

Tableau mentions (8)

  • Tableau Certified Data Analyst Exam Readiness
    Hey everyone, I'm interested in taking the Tableau Certified Data Analyst Exam Readiness course through tableau.com to prepare and get Tableau certified. I had some questions about the course, such as are the videos pre recorded or in person, do you have access to the material once the 90 days expire, and I was also wondering if anyone had input/advice for this course. Thanks! Source: 11 months ago
  • Where to publish knowledge sharing on Tableau reverse engineering and data dictionary generation?
    Could anyone recommend what media I should approach to publish my work (internet or print). I could try the Tableau forum in tableau.com but it's not very active + Tableau may be unappreciative as my work overlaps with their (pricey) data management solution. Plus it needs to be some high visibility / reputable media to count for my career development. Any recommendations welcome thanks!!! Source: over 1 year ago
  • I have huge loads of data in Redshift. How can I make this available to end-users after performing few procs and queries? It should be available online.
    Tableau public: tableau.com. Big player but your data will be made public and not really user-friendly data model. Source: over 2 years ago
  • What tips do you have on evaluating various BI tools for business needs? What are the essential criteria's you would include when evaluating different tools? The goal is to have an unbiased, objective approach.
    For example, we have a project to compare Tableau, Power BI, and InetSoft. The need for strong pagination-based email delivery eliminated Tableau. AWS's Linux instance is the targeted platform which makes Power BI less than ideal. Source: over 2 years ago
  • Anyone go into Data Analytics after this program?
    I just started learning Tableau because our dept is transitioning into Tableau from Power BI. Since I already have years of experience with Power BI I just went over their tutorials from tableau.com and got onboarded pretty quick. I'm still learning it but I'm at least able to build out reports and get things done. Its not too difficult to pickup one BI tool when you have experience with another. Source: over 2 years ago
View more

What are some alternatives?

When comparing DynamoDB and Tableau, you can also consider the following products

AWS Lambda - Automatic, event-driven compute service

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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