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CommentsAzure Data Factory vs OneSaas
Overview
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Advice on Azure Data Factory, OneSaas
Detailed Comparison
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 works as intended, sending transaction data from the store to the accounting system. For the most part, it functions on its own very well; we rarely have to interact with the system. |
Real-Time Integration;
Parallel Processing;
Data Chunker;
Data Masking;
Proactive Monitoring;
Big Data Processing | Email marketing integration;
Data sync;
Shopping carts;
Inventory management integrations;
POS integration. |
Statistics | |
GitHub Stars 516 | GitHub Stars - |
GitHub Forks 610 | GitHub Forks - |
Stacks 254 | Stacks 0 |
Followers 484 | Followers 6 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Azure Data Factory, OneSaas?
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.
Zapier
Zapier is for busy people who know their time is better spent selling, marketing, or coding. Instead of wasting valuable time coming up with complicated systems - you can use Zapier to automate the web services you and your team are already using on a daily basis.
IFTTT
It helps you connect all of your different apps and devices. You can enable your apps and devices to work together to do specific things they couldn't do otherwise.
Presto
Distributed SQL Query Engine for Big Data
n8n
It is a free node based Workflow Automation Tool. Easily automate tasks accross different services. Synchronise data between different apps/databases.
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 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
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.
Druid
Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
Apache Kylin
Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc.
