Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
The investment is good, which is why people choose this hardware.
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.
Exadata comes with a platinum gateway and comprehensive support, which often gets immediate attention with severity one cases.
This involved creating blueprints for integrating Oracle products into client systems, followed by technical presentations to Oracle teams and stakeholders.
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
Databricks is an easily scalable platform.
I would rate the scalability of this solution as very high, about nine out of ten.
Within a site, scalability is excellent.
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.
Once installed, Exadata is very stable.
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.
I cannot create an extended rack cluster with one node on one site and another node on a different site.
There are minor areas where improvement is needed, such as making the user interface more user-friendly and enhancing configuration and customization options.
It is not a cheap solution.
I would rate the price an eight on a scale from one to ten, indicating it is fairly expensive.
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.
It also offers high backend speed between self-storage units and servers, which is beneficial for processing.
The most valuable features of Oracle Exadata are its high availability and cluster environment.
Company Size | Count |
---|---|
Small Business | 25 |
Midsize Enterprise | 12 |
Large Enterprise | 56 |
Company Size | Count |
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Small Business | 47 |
Midsize Enterprise | 13 |
Large Enterprise | 86 |
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?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 Exadata allows enterprises to run any Oracle Database workload with the highest performance, scale, availability, and security on fully compatible cloud and on-premises infrastructure. Exadata uses a scale-out design with unique optimizations that include persistent memory, SQL query offload, and built-in resource management to optimize performance for OLTP, analytics, machine learning, and mixed workloads running in consolidated environments. By running hundreds or thousands of optimized Autonomous Database and Exadata Database instances on Exadata Cloud or Cloud@Customer infrastructure, customers are able to minimize their infrastructure, reduce management, improve developer productivity, and lower total costs by up to 40%, as described in Wikibon’s analysis (PDF).
The main benefit of Exadata is its speed. It hosts operating systems, CPU memory, and hard drives. It runs all types of databases, including online transaction systems, processors, and data warehouses, while remedying the poor performances of older databases.
Oracle Exadata features a simple and fast database storage system that protects and backs up your critical data. It accelerates data warehouse performance for faster access to business information and data. It is the ideal database solution for companies looking to build up their infrastructure from scratch.
Oracle Exadata Database Machine Key Benefits
Accelerate database processing: Exadata Storage Server implements a unique, highly efficient database-optimized storage infrastructure that enables Exadata’s unparalleled performance without any of the bottlenecks that traditional storage experiences. Each storage server contains CPU processors that are used to offload database processing. The CPUs in the storage servers do not replace database CPUs, but work alongside them to accelerate database workloads.
Reviews from Real Users
Oracle Exadata stands out among its competitors for a number of reasons. Two major ones are its robust performance and its wide variety of database features that make it a comprehensive database solution.
Adriano S., an IT system integrator at a financial services firm, writes, "Oracle Exadata's performance is one of its best features. We are very satisfied with it. The previous equipment used to make a payment for all the government employees used to take at least two days for some of the transactions. Now, it will take hours to make the same amount of payments. Another thing is the flexibility to organize all our databases. We can use it with new features that come with this version of Oracle 19c, which is the container database. With container databases, we can work with many databases, organized, and segregated, and still access the functions and management, the things that most of the technical people like to have in place."
Paulo X., a sales manager at LTA-RH Informatica, notes, "Regarding features, there are so many that we can offer to customers. When we sell Exadata Cloud, there are many options to choose from, especially when it comes to enterprise database options. In my experience, the main features that are appreciated are various ones like GPS and the assortment of security options."
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