AWS IoT vs DataGekko

Struggling to choose between AWS IoT and DataGekko? Both products offer unique advantages, making it a tough decision.

AWS IoT is a Ai Tools & Services solution with tags like iot, cloud, devices, aws.

It boasts features such as Device SDKs, Device Provisioning, Device Shadows, Rules Engine, Device Defender, Fleet Indexing, Jobs, Greengrass and pros including Easy and secure device connectivity, Built-in analytics and machine learning capabilities, Integrates with other AWS services, Scalable to billions of devices and messages.

On the other hand, DataGekko is a Business & Commerce product tagged with data-analysis, business-intelligence, data-visualization, dashboards, reports, open-source.

Its standout features include Connect to various data sources like SQL, NoSQL, CSV, etc, Visualize data through charts, graphs and dashboards, Perform data transformation and cleansing, Create scheduled reports and alerts, Collaborative analytics and sharing, Drag and drop interface for building workflows, Support for R and Python scripts, REST API for integration, and it shines with pros like Free and open source, No coding required, Intuitive drag and drop interface, Support for big data sources, Powerful visualization capabilities, Can be self-hosted on-premises.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

AWS IoT

AWS IoT

AWS IoT is a cloud platform that lets you connect Internet of Things devices to AWS services like Lambda, S3, and DynamoDB. You can securely interact with your devices even when they aren't connected to the internet.

Categories:
Ai Tools & Services Iot Platforms
iot cloud devices aws

AWS IoT Features

  1. Device SDKs
  2. Device Provisioning
  3. Device Shadows
  4. Rules Engine
  5. Device Defender
  6. Fleet Indexing
  7. Jobs
  8. Greengrass

Pricing

  • Free Tier
  • Pay-As-You-Go

Pros

Easy and secure device connectivity

Built-in analytics and machine learning capabilities

Integrates with other AWS services

Scalable to billions of devices and messages

Cons

Can be complex to set up for beginners

Additional charges for some features like Device Defender

Limits on number of messages for free tier

DataGekko

DataGekko

DataGekko is an open-source data analysis and business intelligence platform. It allows users to connect to various data sources, visualize data, and create dashboards and reports without coding.

Categories:
Business & Commerce Business Intelligence & Analytics
data-analysis business-intelligence data-visualization dashboards reports open-source

DataGekko Features

  1. Connect to various data sources like SQL, NoSQL, CSV, etc
  2. Visualize data through charts, graphs and dashboards
  3. Perform data transformation and cleansing
  4. Create scheduled reports and alerts
  5. Collaborative analytics and sharing
  6. Drag and drop interface for building workflows
  7. Support for R and Python scripts
  8. REST API for integration

Pricing

  • Open Source
  • Free

Pros

Free and open source

No coding required

Intuitive drag and drop interface

Support for big data sources

Powerful visualization capabilities

Can be self-hosted on-premises

Cons

Limited native support for unstructured data sources

Steep learning curve for advanced features

Not as scalable as commercial BI tools

Lacks some enterprise features like governance and security