Software Alternatives & Reviews

Informatica PowerCenter VS Azure Databricks

Compare Informatica PowerCenter VS Azure Databricks and see what are their differences

Informatica PowerCenter logo Informatica PowerCenter

Informatica PowerCenter ist eine skalierbare, hochperformante Lösung zur Integration von Unternehmensdaten, die den gesamten Zyklus der Datenintegration unterstützt.

Azure Databricks logo Azure Databricks

Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.
  • Informatica PowerCenter Landing page
    Landing page //
    2022-04-01
  • Azure Databricks Landing page
    Landing page //
    2023-04-02

Informatica PowerCenter videos

PowerCenter Review 2020: Informatica Powercenter

More videos:

  • Tutorial - Informatica Tutorial For Beginners | Informatica PowerCenter | Informatica Training | Edureka

Azure Databricks videos

Azure Databricks is Easier Than You Think

More videos:

  • Review - Ingest, prepare & transform using Azure Databricks & Data Factory | Azure Friday
  • Review - Azure Databricks - What's new! | DB102

Category Popularity

0-100% (relative to Informatica PowerCenter and Azure Databricks)
Data Integration
100 100%
0% 0
Technical Computing
0 0%
100% 100
ETL
100 100%
0% 0
Business & Commerce
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Informatica PowerCenter and Azure Databricks

Informatica PowerCenter Reviews

10 Best ETL Tools (October 2023)
Driven by metadata, Informatica PowerCenter is aimed at improving collaboration between business and IT teams while streamlining data pipelines. The tool can parse advanced data formats like JSON, XML, and PDF. It can also automatically validate transformed data to enforce defined standards.
Source: www.unite.ai
Top 14 ETL Tools for 2023
Despite these drawbacks, Informatica PowerCenter has earned a loyal following, with an average of 4.4 out of 5 stars on G2— enough to be named one of the website's top 50 IT infrastructure products in 2022. Reviewer Victor C. calls PowerCenter, “probably the most powerful ETL tool I have ever used.” However, he also complains that PowerCenter can be slow and doesn't...
A List of The 16 Best ETL Tools And Why To Choose Them
Informatica PowerCenter includes several services that allow users to design, deploy, and monitor data pipelines. For example, the Repository Manager helps with user management, the Designer allows users to specify the flow of data from source to target, and the Workflow Manager defines the sequence of tasks.
15 Best ETL Tools in 2022 (A Complete Updated List)
PowerCenter is a product that was developed by Informatica for data integration. It supports the data integration lifecycle and delivers critical data and values to the business. PowerCenter supports a huge volume of data and any data type and any source for data integration.
Top 7 ETL Tools for 2021
Despite these drawbacks, Informatica PowerCenter has earned a loyal following, with an average of 4.3 out of 5 stars on G2—enough to be named a G2 “Leader” in the field of data integration software. Reviewer Victor C. calls PowerCenter “probably the most powerful ETL tool I have ever used”; however, he also complains that PowerCenter can be slow and does not integrate well...
Source: www.xplenty.com

Azure Databricks Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
Azure Databricks is a data analytics tool optimized for Microsoft’s Azure cloud services solution. It provides three development environments for data-intensive apps, namely Databricks SQL, Databricks Machine Learning, and Databricks Data Science & Engineering.The platform supports languages including Python, Java, R, Scala, and SQL, plus data science frameworks and...
Source: theqalead.com

Social recommendations and mentions

Based on our record, Azure Databricks seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Informatica PowerCenter mentions (0)

We have not tracked any mentions of Informatica PowerCenter yet. Tracking of Informatica PowerCenter recommendations started around Mar 2021.

Azure Databricks mentions (2)

  • Top 30 Microsoft Azure Services
    In the big data space, Azure offers Azure Databricks. This is an Apache Spark big data analytics and machine learning service over a Distributed File System. The distributed cluster of nodes running analytics and AI operations in parallel allow for fast processing of large volumes of data and integration with popular machine learning libraries such as PyTorch unleash endless possibilities for custom ML. - Source: dev.to / almost 3 years ago
  • ZooKeeper-free Kafka is out. First Demo
    https://azure.microsoft.com/en-us/services/databricks. - Source: Hacker News / about 3 years ago

What are some alternatives?

When comparing Informatica PowerCenter and Azure Databricks, you can also consider the following products

Software AG webMethods - Software AG’s webMethods enables you to quickly integrate systems, partners, data, devices and SaaS applications

IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.

Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

MicroStrategy - MicroStrategy is a cloud-based platform providing business intelligence, mobile intelligence and network applications.

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Arcadia Enterprise - Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.