Azure Databricks is a service available on Microsoft's Azure platform and suite of products. It provides the latest versions of Apache Spark so users can integrate with open source libraries, or spin up clusters and build in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. The solution includes autoscaling and auto-termination to improve…
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Oracle Exadata
Score 9.9 out of 10
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Oracle Exadata is an enterprise database platform that runs Oracle Database workloads of any scale and criticality with high performance, availability, and security. Exadata’s scale-out design employs optimizations that let transaction processing, analytics, machine learning, and mixed workloads run faster. Consolidating diverse Oracle Database workloads on Exadata platforms in enterprise data centers, Oracle Cloud Infrastructure (OCI), and multicloud environments helps organizations increase…
$2.90
Per Unit
Pricing
Azure Databricks
Oracle Exadata
Editions & Modules
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Database Server
$2.9032
Per Unit
Quarter Rack
$14.5162
Per Unit
Offerings
Pricing Offerings
Azure Databricks
Oracle Exadata
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Community Pulse
Azure Databricks
Oracle Exadata
Features
Azure Databricks
Oracle Exadata
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Databricks
8.2
2 Ratings
2% below category average
Oracle Exadata
-
Ratings
Connect to Multiple Data Sources
6.62 Ratings
00 Ratings
Extend Existing Data Sources
9.02 Ratings
00 Ratings
Automatic Data Format Detection
9.12 Ratings
00 Ratings
MDM Integration
8.01 Ratings
00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Databricks
6.2
2 Ratings
30% below category average
Oracle Exadata
-
Ratings
Visualization
5.72 Ratings
00 Ratings
Interactive Data Analysis
6.62 Ratings
00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Databricks
8.1
2 Ratings
0% below category average
Oracle Exadata
-
Ratings
Interactive Data Cleaning and Enrichment
7.02 Ratings
00 Ratings
Data Transformations
8.92 Ratings
00 Ratings
Data Encryption
9.12 Ratings
00 Ratings
Built-in Processors
7.32 Ratings
00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Databricks
8.4
2 Ratings
0% below category average
Oracle Exadata
-
Ratings
Multiple Model Development Languages and Tools
8.32 Ratings
00 Ratings
Automated Machine Learning
8.92 Ratings
00 Ratings
Single platform for multiple model development
8.12 Ratings
00 Ratings
Self-Service Model Delivery
8.12 Ratings
00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure Databricks
8.6
2 Ratings
1% above category average
Oracle Exadata
-
Ratings
Flexible Model Publishing Options
8.02 Ratings
00 Ratings
Security, Governance, and Cost Controls
9.12 Ratings
00 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Suppose you have multiple data sources and you want to bring the data into one place, transform it and make it into a data model. Azure Databricks is a perfectly suited solution for this. Leverage spark JDBC or any external cloud based tool (ADG, AWS Glue) to bring the data into a cloud storage. From there, Azure Databricks can handle everything. The data can be ingested by Azure Databricks into a 3 Layer architecture based on the delta lake tables. The first layer, raw layer, has the raw as is data from source. The enrich layer, acts as the cleaning and filtering layer to clean the data at an individual table level. The gold layer, is the final layer responsible for a data model. This acts as the serving layer for BI For BI needs, if you need simple dashboards, you can leverage Azure Databricks BI to create them with a simple click! For complex dashboards, just like any sql db, you can hook it with a simple JDBC string to any external BI tool.
First, get the database on Oracle. If you are in an Oracle stack, it would be much better to use the Oracle products. If you are driving a Ferrari, you wouldn’t put a Mercedes engine in it. If you are writing a query, you cannot rely on other brands. Since I'm an architect, when I look for a product, I look for performance.
The installation is easy because it comes out-of-the-box and you just start using it.
Previous to Oracle Exadata, we were using a normal Oracle RAC service. We were just waiting for this product to come out.
I'm currently writing a data warehouse on Exadata. Before this solution, we were aiming for this to be completed by 8 a.m., when our ETLs would finish. With the help of Exadata's special features, this was reduced to 3 a.m. This solution allows us to bring more data within the same time period. It provides us with more subject areas that provide more reports to our users. Our ETL times reduced to 65%, then to 50%.
Based on my extensive use of Azure Databricks for the past 3.5 years, it has evolved into a beautiful amalgamation of all the data domains and needs. From a data analyst, to a data engineer, to a data scientist, it jas got them all! Being language agnostic and focused on easy to use UI based control, it is a dream to use for every Data related personnel across all experience levels!
Against all the tools I have used, Azure Databricks is by far the most superior of them all! Why, you ask? The UI is modern, the features are never ending and they keep adding new features. And to quote Apple, "It just works!" Far ahead of the competition, the delta lakehouse platform also fares better than it counterparts of Iceberg implementation or a loosely bound Delta Lake implementation of Synapse
Oracle Exadata Database Machine had the best performance overall hands down. It clearly beat the competition and we were seeing 1000X improvement on SAP HANA. Oracle Exadata Database Machine beat that without us refactoring our code. To achieve that in HANA, we had to refactor the code somewhat. Now this was for our limited POC of 5 use cases. Given the large number of stored procedures we had in Sybase, we need to capture more production metrics but we are seeing incredible performance.
Single support from a single vendor with both machine and database from Oracle, which is costing us less.
With Exadata, we need less technical manpower and less technical support. A business transaction with the integrated and centralized database helps us focus on other business needs.
We don't need to buy additional licenses and Hardware for the next 3 to 5 years.