Dataddo vs WSO2 Integration Cloud

Overview

WSO2 Integration Cloud

Stacks6

Followers13

Votes0

Dataddo

Stacks3

Followers10

Votes0

Dataddo vs WSO2 Integration Cloud: What are the differences?

Dataddo: Cloud-based data extraction, integration & analytics platform. It connects all your data with your BI, dashboards and data warehouse automatically, securely and without a single line of code; WSO2 Integration Cloud: Host your cloud-to-cloud, cloud-to-on-premises integrations and API backends. It allows you to host your cloud-to-cloud, cloud-to-on-premises integrations and API backends on a scalable cloud platform.

Dataddo belongs to "Integration Tools" category of the tech stack, while WSO2 Integration Cloud can be primarily classified under "Cloud Hosting".

Some of the features offered by Dataddo are:

Universal data integration platform
Re-define your data management strategy
Break the data silos

On the other hand, WSO2 Integration Cloud provides the following key features:

Robust cloud-to-cloud and cloud-to-enterprise integration
Manage, monitor and analyze
Expose integrations in api cloud

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Detailed Comparison

WSO2 Integration Cloud	Dataddo
It allows you to host your cloud-to-cloud, cloud-to-on-premises integrations and API backends on a scalable cloud platform.	Dataddo is a no-code data integration platform that lets users get data to wherever it needs to go - dashboards, warehouses, or business apps.
Robust cloud-to-cloud and cloud-to-enterprise integration; Manage, monitor and analyze; Expose integrations in api cloud; Complete container-based application hosting platform	Universal data integration platform; ETL; Reverse ETL; Headless API; Free tier available; Historical data load; User-friendly interface; Data blending; Multi-account extraction; Data syncs per minute, hourly, daily, weekly, monthly; Custom metrics and connectors build in 14 business days; SOC 2 Type II certified
Statistics
Stacks 6	Stacks 3
Followers 13	Followers 10
Votes 0	Votes 0
Integrations
Gmail WSO2 API Cloud	Podio Google Ads Facebook Ads Google Analytics Amazon Redshift MariaDB QlikView Klipfolio Xero appFigures

What are some alternatives to WSO2 Integration Cloud, Dataddo?

DigitalOcean

We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.

Amazon EC2

It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.

Microsoft Azure

Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.

Google Compute Engine

Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance.

Linode

Get a server running in minutes with your choice of Linux distro, resources, and node location.

Scaleway

European cloud computing company proposing a complete & simple public cloud ecosystem, bare-metal servers & private datacenter infrastructures.

Rackspace Cloud Servers

Cloud Servers is based on OpenStack, the open and scalable operating system for building public and private clouds. With the open cloud, you get reliable cloud hosting, without locking your data into one proprietary platform.

Apache Camel

An open source Java framework that focuses on making integration easier and more accessible to developers.

Google Cloud Platform

It helps you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning. It is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.