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  1. Stackups
  2. Application & Data
  3. Databases
  4. Big Data Tools
  5. Azure Data Factory vs Xkit

Azure Data Factory vs Xkit

OverviewComparisonAlternatives

Overview

Azure Data Factory
Azure Data Factory
Stacks253
Followers484
Votes0
GitHub Stars516
Forks610
Xkit
Xkit
Stacks3
Followers12
Votes0

Xkit vs Azure Data Factory: What are the differences?

Developers describe Xkit as "One API to let your customers connect Slack, GitHub, Salesforce and 20+ other services to your app". Xkit manages the process of getting authorization to connect to your users' 3rd party SaaS apps so you can focus on building your integrations. On the other hand, Azure Data Factory is detailed as "Hybrid data integration service that simplifies ETL at scale". 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.

Xkit belongs to "Integration Tools" category of the tech stack, while Azure Data Factory can be primarily classified under "Big Data Tools".

Some of the features offered by Xkit are:

  • Integration with OAuth2 without a backend
  • Works with Firebase Auth, Auth0, AWS Cognito, and most other authentication systems
  • Embed or link to a pre-built integration catalog

On the other hand, Azure Data Factory provides the following key features:

  • Real-Time Integration
  • Parallel Processing
  • Data Chunker

Azure Data Factory is an open source tool with 199 GitHub stars and 314 GitHub forks. Here's a link to Azure Data Factory's open source repository on GitHub.

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Detailed Comparison

Azure Data Factory
Azure Data Factory
Xkit
Xkit

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.

Xkit manages the process of getting authorization to connect to your users' 3rd party SaaS apps so you can focus on building your integrations.

Real-Time Integration; Parallel Processing; Data Chunker; Data Masking; Proactive Monitoring; Big Data Processing
Integration with OAuth2 without a backend; Works with Firebase Auth, Auth0, AWS Cognito, and most other authentication systems; Embed or link to a pre-built integration catalog; Retrieve access tokens on the front- or back-end for clean separation of concerns
Statistics
GitHub Stars
516
GitHub Stars
-
GitHub Forks
610
GitHub Forks
-
Stacks
253
Stacks
3
Followers
484
Followers
12
Votes
0
Votes
0
Integrations
Octotree
Octotree
Java
Java
.NET
.NET
HubSpot
HubSpot
Trello
Trello
Confluence
Confluence
PagerDuty
PagerDuty
Dropbox
Dropbox
Slack
Slack
Google Drive
Google Drive
Asana
Asana
Zoom
Zoom
Gmail
Gmail

What are some alternatives to Azure Data Factory, Xkit?

Auth0

Auth0

A set of unified APIs and tools that instantly enables Single Sign On and user management to all your applications.

Stormpath

Stormpath

Stormpath is an authentication and user management service that helps development teams quickly and securely build web and mobile applications and services.

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.

Keycloak

Keycloak

It is an Open Source Identity and Access Management For Modern Applications and Services. It adds authentication to applications and secure services with minimum fuss. No need to deal with storing users or authenticating users. It's all available out of the box.

Presto

Presto

Distributed SQL Query Engine for Big Data

Devise

Devise

Devise is a flexible authentication solution for Rails based on Warden

Firebase Authentication

Firebase Authentication

It provides backend services, easy-to-use SDKs, and ready-made UI libraries to authenticate users to your app. It supports authentication using passwords, phone numbers, popular federated identity providers like Google,

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.

Apache Flink

Apache Flink

Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.

lakeFS

lakeFS

It is an open-source data version control system for data lakes. It provides a “Git for data” platform enabling you to implement best practices from software engineering on your data lake, including branching and merging, CI/CD, and production-like dev/test environments.

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