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  5. Azure Data Factory vs WSO2 Integration Cloud

Azure Data Factory vs WSO2 Integration Cloud

OverviewDecisionsComparisonAlternatives

Overview

WSO2 Integration Cloud
WSO2 Integration Cloud
Stacks6
Followers13
Votes0
Azure Data Factory
Azure Data Factory
Stacks253
Followers484
Votes0
GitHub Stars516
Forks610

Azure Data Factory vs WSO2 Integration Cloud: What are the differences?

  1. Data Sources and Connectors: Azure Data Factory offers a wide range of built-in connectors that enable seamless integration with various data sources such as SQL databases, Azure services, and more. On the other hand, WSO2 Integration Cloud provides a versatile set of connectors for integrating with enterprise applications, cloud services, and databases.

  2. Hybrid Integration Capabilities: Azure Data Factory has robust hybrid integration capabilities, allowing users to connect on-premises data sources to the cloud easily. In contrast, WSO2 Integration Cloud focuses more on cloud-native integration scenarios and may require additional configurations for hybrid integrations.

  3. Scalability and Performance: Azure Data Factory is optimized for Big Data workloads and can handle large-scale data transformations efficiently. WSO2 Integration Cloud, while scalable, may not offer the same level of performance for intensive data processing tasks.

  4. Monitoring and Management Tools: Azure Data Factory provides comprehensive monitoring and management tools, including Azure Monitor and Azure Data Factory UI for tracking and controlling data integration processes. WSO2 Integration Cloud offers similar capabilities but may require additional setup and configuration for monitoring and managing integration workflows effectively.

  5. Cost and Pricing Model: Azure Data Factory follows a pay-as-you-go pricing model, where users pay for the resources they consume. In contrast, WSO2 Integration Cloud may offer more flexible pricing options, depending on the deployment model and usage requirements of the organization.

  6. Enterprise Integration Features: WSO2 Integration Cloud is known for its enterprise-grade features such as message brokering, API management, and real-time analytics, which are tightly integrated into the platform. Azure Data Factory, while versatile, may require additional services or tools to fulfill advanced enterprise integration needs.

In Summary, Azure Data Factory and WSO2 Integration Cloud differ in terms of data sources and connectors, hybrid integration capabilities, scalability, monitoring tools, pricing models, and enterprise integration features.

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Advice on WSO2 Integration Cloud, Azure Data Factory

Vamshi
Vamshi

Data Engineer at Tata Consultancy Services

May 29, 2020

Needs adviceonPySparkPySparkAzure Data FactoryAzure Data FactoryDatabricksDatabricks

I have to collect different data from multiple sources and store them in a single cloud location. Then perform cleaning and transforming using PySpark, and push the end results to other applications like reporting tools, etc. What would be the best solution? I can only think of Azure Data Factory + Databricks. Are there any alternatives to #AWS services + Databricks?

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Comments

Detailed Comparison

WSO2 Integration Cloud
WSO2 Integration Cloud
Azure Data Factory
Azure Data Factory

It allows you to host your cloud-to-cloud, cloud-to-on-premises integrations and API backends on a scalable cloud platform.

It is a service designed to allow developers to integrate disparate data sources. It is a platform somewhat like SSIS in the cloud to manage the data you have both on-prem and in the cloud.

Robust cloud-to-cloud and cloud-to-enterprise integration; Manage, monitor and analyze; Expose integrations in api cloud; Complete container-based application hosting platform
Real-Time Integration; Parallel Processing; Data Chunker; Data Masking; Proactive Monitoring; Big Data Processing
Statistics
GitHub Stars
-
GitHub Stars
516
GitHub Forks
-
GitHub Forks
610
Stacks
6
Stacks
253
Followers
13
Followers
484
Votes
0
Votes
0
Integrations
Gmail
Gmail
WSO2 API Cloud
WSO2 API Cloud
Octotree
Octotree
Java
Java
.NET
.NET

What are some alternatives to WSO2 Integration Cloud, Azure Data Factory?

DigitalOcean

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

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

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

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

Linode

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

Scaleway

Scaleway

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

Apache Spark

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Rackspace Cloud Servers

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.

Presto

Presto

Distributed SQL Query Engine for Big Data

Amazon Athena

Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

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