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

Azure Data Factory vs Mapus

OverviewComparisonAlternatives

Overview

Azure Data Factory
Azure Data Factory
Stacks254
Followers484
Votes0
GitHub Stars516
Forks610
Mapus
Mapus
Stacks1
Followers6
Votes0
GitHub Stars3.5K
Forks227

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Detailed Comparison

Azure Data Factory
Azure Data Factory
Mapus
Mapus

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.

It is an open-source tool to explore and annotate collaboratively on a map. You can draw, add markers, lines, areas, find places to go, observe other users, and much more.

Real-Time Integration; Parallel Processing; Data Chunker; Data Masking; Proactive Monitoring; Big Data Processing
Real-time collaboration to help plan trips synchronously; Draw to highlight areas on the map; Create lines to designate paths and measure distance; Create areas to mark different zones; Create markers to save places on the map; Find places and things to do nearby; Search and navigate to specific places; Observe other users by clicking on their avatar; View a list of all the annotations, and toggle their visibility; Export the map data as GeoJSON
Statistics
GitHub Stars
516
GitHub Stars
3.5K
GitHub Forks
610
GitHub Forks
227
Stacks
254
Stacks
1
Followers
484
Followers
6
Votes
0
Votes
0
Integrations
Octotree
Octotree
Java
Java
.NET
.NET
No integrations available

What are some alternatives to Azure Data Factory, Mapus?

Google Maps

Google Maps

Create rich applications and stunning visualisations of your data, leveraging the comprehensiveness, accuracy, and usability of Google Maps and a modern web platform that scales as you grow.

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.

Mapbox

Mapbox

We make it possible to pin travel spots on Pinterest, find restaurants on Foursquare, and visualize data on GitHub.

Leaflet

Leaflet

Leaflet is an open source JavaScript library for mobile-friendly interactive maps. It is developed by Vladimir Agafonkin of MapBox with a team of dedicated contributors. Weighing just about 30 KB of gzipped JS code, it has all the features most developers ever need for online maps.

Presto

Presto

Distributed SQL Query Engine for Big Data

OpenStreetMap

OpenStreetMap

OpenStreetMap is built by a community of mappers that contribute and maintain data about roads, trails, cafés, railway stations, and much more, all over the world.

OpenLayers

OpenLayers

An opensource javascript library to load, display and render maps from multiple sources on web pages.

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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