Software Alternatives & Reviews

Oracle Hyperion Planning VS Azure Databricks

Compare Oracle Hyperion Planning VS Azure Databricks and see what are their differences

Oracle Hyperion Planning logo Oracle Hyperion Planning

Oracle Hyperion Planning is an Excel and web-based planning and management solution that integrates planning, forecasting and budgeting into one unified solution.

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.
  • Oracle Hyperion Planning Landing page
    Landing page //
    2023-10-21
  • Azure Databricks Landing page
    Landing page //
    2023-04-02

Oracle Hyperion Planning videos

Automating the Forecast with Oracle Hyperion Planning

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 Oracle Hyperion Planning and Azure Databricks)
Data Dashboard
82 82%
18% 18
Technical Computing
0 0%
100% 100
Financial Performance Management
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 Oracle Hyperion Planning and Azure Databricks

Oracle Hyperion Planning Reviews

We have no reviews of Oracle Hyperion Planning yet.
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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.

Oracle Hyperion Planning mentions (0)

We have not tracked any mentions of Oracle Hyperion Planning yet. Tracking of Oracle Hyperion Planning 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 Oracle Hyperion Planning and Azure Databricks, you can also consider the following products

Anaplan - Planning & performance management platform

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.

Prophix Software - Prophix develops Corporate Performance Management (CPM) software that automates important financial and operational processes.

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

Tagetik - Tagetik offers a unified Corporate Performance Management software solution for budgeting, planning, consolidation, monthly close, and more.

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