DataGekko vs AWS IoT

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

DataGekko is a Business & Commerce solution with tags like data-analysis, business-intelligence, data-visualization, dashboards, reports, open-source.

It boasts features such as 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 pros including 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.

On the other hand, AWS IoT is a Ai Tools & Services product tagged with iot, cloud, devices, aws.

Its standout features include Device SDKs, Device Provisioning, Device Shadows, Rules Engine, Device Defender, Fleet Indexing, Jobs, Greengrass, and it shines with pros like Easy and secure device connectivity, Built-in analytics and machine learning capabilities, Integrates with other AWS services, Scalable to billions of devices and messages.

Feature	DataGekko	AWS IoT
Overall Score	N/A	N/A
Primary Category	Business & Commerce	Ai Tools & Services

Product Overview

DataGekko

Description: 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.

AWS IoT

Description: 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.

Key Features Comparison

DataGekko Features

• 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

AWS IoT Features

• Device SDKs
• Device Provisioning
• Device Shadows
• Rules Engine
• Device Defender
• Fleet Indexing
• Jobs
• Greengrass

Pros & Cons Analysis

DataGekko

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

AWS IoT

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

Pricing Comparison

DataGekko

• Open Source
• Free

AWS IoT

• Free Tier
• Pay-As-You-Go