

Find out what your peers are saying about Snowflake Computing, Microsoft, Teradata and others in Cloud Data Warehouse.
This reduction in both time and money resulted in real-time impact and significant cost savings.
For a lot of different tasks, including machine learning, it is a nice solution.
When it comes to big data processing, I prefer Databricks over other solutions.
Whenever we reach out, they respond promptly.
As of now, we are raising issues and they are providing solutions without any problems.
I rate the technical support as fine because they have levels of technical support available, especially partners who get really good support from Databricks on new features.
The tendency to route users to sales personnel with limited technical expertise detracts from the support experience.
The sky's the limit with Databricks.
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
Databricks is an easily scalable platform.
While Oracle OBIEE is scalable, it is more of a niche product designed to work specifically with Oracle systems.
They release patches that sometimes break our code.
Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.
Databricks is definitely a very stable product and reliable.
Adjusting features like worker nodes and node utilization during cluster creation could mitigate these failures.
We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly.
We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.
Oracle OBIEE has a steep learning curve compared to tools like SQL Server or Power BI.
It is not a cheap solution.
I believe that in terms of credits for Databricks, we're spending between £15,000 and £20,000 a month.
Oracle OBIEE is quite expensive, especially when compared to Microsoft's solutions.
Databricks' capability to process data in parallel enhances data processing speed.
The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.
The Unity Catalog is for data governance, and the Delta Lake is to build the lakehouse.
A valuable feature of Oracle OBIEE is its ability to automate some tasks, such as invoice analysis, saving a significant amount of clerical work.
| Product | Market Share (%) |
|---|---|
| Databricks | 10.0% |
| Snowflake | 15.9% |
| Teradata | 8.4% |
| Other | 65.7% |
| Product | Market Share (%) |
|---|---|
| Oracle OBIEE | 1.4% |
| Microsoft Power BI | 8.9% |
| Tableau Enterprise | 6.2% |
| Other | 83.5% |

| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 12 |
| Large Enterprise | 56 |
| Company Size | Count |
|---|---|
| Small Business | 40 |
| Midsize Enterprise | 34 |
| Large Enterprise | 102 |
Databricks offers a scalable, versatile platform that integrates seamlessly with Spark and multiple languages, supporting data engineering, machine learning, and analytics in a unified environment.
Databricks stands out for its scalability, ease of use, and powerful integration with Spark, multiple languages, and leading cloud services like Azure and AWS. It provides tools such as the Notebook for collaboration, Delta Lake for efficient data management, and Unity Catalog for data governance. While enhancing data engineering and machine learning workflows, it faces challenges in visualization and third-party integration, with pricing and user interface navigation being common concerns. Despite needing improvements in connectivity and documentation, it remains popular for tasks like real-time processing and data pipeline management.
What features make Databricks unique?
What benefits can users expect from Databricks?
In the tech industry, Databricks empowers teams to perform comprehensive data analytics, enabling them to conduct extensive ETL operations, run predictive modeling, and prepare data for SparkML. In retail, it supports real-time data processing and batch streaming, aiding in better decision-making. Enterprises across sectors leverage its capabilities for creating secure APIs and managing data lakes effectively.
Oracle OBIEE (Oracle Business Information Enterprise Edition) is a business intelligence (BI) tool developed by Oracle. OBIEE will gather, store and analyze an organization's network data and compile the information to create reports, dashboard graphs, and performance analysis. OBIEE’s unique platform allows clients to discover new awareness and improve the speed of completing important business decisions by providing robust visual tools and intuitive realization coupled with the latest unmatched enterprise analytics available. OBIEE helps IT enterprise organizations to experience an intelligent view of all enterprise data from across all sources and empowers trusted users with increased levels of reliable, dependable access, interaction, and the ability to utilize the data to increase the overall effectiveness and productivity of the organization.
OBIEE provides unique immediate mobile access, intuitive dashboards, robust reporting, real-time alerts, metadata search, procedure management, direct access to Big Data resources, enlightened in-memory computing, and seamless systems management processes. These features seamlessly combine to make Oracle OBIEE a complete, top-of-the-line broad solution that is cost-effective, minimizes TCO, and provides a competitive, quick ROI for the entire organization.
Oracle OBIEE Top Features
Reviews from Real Users
Sandeep V., Process System Engineer at a comms service provider, tells us, “This solution is very easy for people who are building ad-hoc things. It's an enterprise solution so it can be deployed for a lot of users. There are some great new features that come with the 12c like data visualization, desktop BI Publisher, automation, and interactive dashboards. The product has good features. “
A user who is a CEO at a consultancy relates, “The most valuable feature is the visualization. The data warehousing, data storage, and data wrangling are all features that are in there, and it's one of the better products out there. A good thing is that for large datasets, it's very stable, especially when you have an Oracle database.”
A user who is a Principal Business Intelligence Architect at a computer software company suggests, "It is very biased towards Oracle infrastructure. One of the major red flags we have at the moment against Oracle is that it doesn't support deployment on other cloud providers. We're quite heavily vested in AWS as our infrastructure, and Oracle is yet to formally support deploying on those virtual infrastructure instances. That's quite disappointing, and it also cuts them out of over 70% of the market."
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.