"We can use virtualization on Exadata."
"The business intelligence is very good."
"Oracle Exadata is stable."
"Oracle is known to be the number one in their industry; the help and support, the features they are giving the clients comparing to other databases, the new technology, the provide a good solution."
"The data replication is very good."
"This product can noticeably enhance performance of contextual Oracle databases."
"The most valuable feature is the time to solution."
"Our machine is used for our internal development of Oracle-based solutions, PoC benchmarking, and training/familiarization."
"It was relatively easy to use, and it was easy for people to convert to it."
"The querying speed is fast."
"The technical support on offer is excellent."
"The Time Travel feature is helpful for accessing historical data and the ability to clone external tables is useful."
"It is a very good platform. It can handle structured and semi-structured data, and it can be used for your data warehouse or data lake. It can load and deal with any data that you have. It can extract data from an on-premises database or a website and make it available in the cloud. It has very fast implementation and integration as compared to other solutions. There is no need for the DBA to manage or do the day-to-day DBA tasks, which is one of the greatest things about it."
"The initial setup is very simple."
"Snowflake's most valuable features are data enrichment and flattening."
"The most valuable features of Snowflake are its performance and power."
"Tech support sometimes takes some time to identify and rectify issues."
"I believe Oracle must improve its procedure to support the clients. The customer Ready Service must provide more use cases and benchmarks of their infrastructure to support client design decisions. Oracle must audit their partners regularly to guarantee they provide quality service even after been passed on partnership examination."
"There is room for improvement with the handling of the Temp IO, which is often used for JOIN statements."
"Oracle Exadata could improve the platform performance tuning should be easier, automated, and user-friendly."
"There is a feature for security, but it is not included in the first purchase of this solution. That means if you need to increase the security, you need to buy the security feature which doesn't come by default on these solutions."
"The integration with third-party applications regarding access management security could be better."
"Setting up Exadata is complex. You need an Oracle vendor or someone who is Oracle-certified to set it up."
"There is one aspect to Exadata that I dislike, and that's the inconsistency with other databases. When you try to get Exadata to function with another type of database like SQL, or others, there should be reliable and consistent operation. When this is improved on, we should start to see more applications growing the market."
"There are three things that came to my notice. I am not very sure whether they have already done it. The first one is very specific to the virtual data warehouse. Snowflake might want to offer industry-specific models for the data warehouse. Snowflake is a very strong product with credit. For a typical retail industry, such as the pharma industry, if it can get into the functional space as well, it will be a big shot in their arm. The second thing is related to the migration from other data warehouses to Snowflake. They can make the migration a little bit more seamless and easy. It should be compatible, well-structured, and well-governed. Many enterprises have huge impetus and urgency to move to Snowflake from their existing data warehouse, so, naturally, this is an area that is critical. The third thing is related to the capability of dealing with relational and dimensional structures. It is not that friendly with relational structures. Snowflake is more friendly with the dimensional structure or the data masks, which is characteristic of a Kimball model. It is very difficult to be savvy and friendly with both structures because these structures are different and address different kinds of needs. One is manipulation-heavy, and the other one is read-heavy or analysis-heavy. One is for heavy or frequent changes and amendments, and the other one is for frequent reads. One is flat, and the other one is distributed. There are fundamental differences between these two structures. If I were to consider Snowflake as a silver bullet, it should be equally savvy on both ends, which I don't think is the case. Maybe the product has grown and scaled up from where it was."
"It would be better if they had a data profile tool that tells me where the gaps are in my time series data."
"They should improve the reporting tools."
"Pricing is an issue for many customers."
"There is a scope for improvement. They don't currently support integration with some of the Azure and AWS native services. It would be good if they can enhance their product to integrate with these services."
"They need to improve its ETL functionality so that Snowflake becomes an ETL product. Snowpipe can do some pipelines and data ingestion, but as compare to Talend, these functionalities are limited. The ETL feature is not good enough. Therefore, Snowflake can only be used as a database. You can't use it as an ETL tool, which is a limitation. We have spoken to the vendor, and they said they are working on it, but I'm not sure when they will bring it to production."
"Their strategy is just to leverage what you've got and put Snowflake in the middle. It does work well with other tools. You have to buy a separate reporting tool and a separate data loading tool, whereas, in some platforms, these tools are baked in. In the long-term, they'll need to add more direct partnerships to the ecosystem so that it's not like adding on tools around Snowflake to make it work. They can also consider including Snowflake native reporting tools versus partnering with other reporting tools. It would kind of change where they sit in the market."
"The data sharing capabilities across business units within the organization should be better."
Oracle Exadata Database Machine is a modern framework, engineered to run databases and to scale database servers. Oracle Exadata Database Machine can be run on the cloud or on premises.
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 Database Machine 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 Database Machine 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."
Snowflake is a fully managed SaaS (software as a service) that provides a single platform for data warehousing, data lakes, data engineering, data science, data application development, and secure sharing and consumption of real-time / shared data.
Its platform is made up of three components:
Snowflake has many valuable key features. Some of the most useful ones include:
There are many benefits to implementing Snowflake. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the Snowflake solution.
Sreenivasan R., Director of Data Architecture and Engineering at Decision Minds, says, "Data sharing is a good feature. It is a majorly used feature. The elastic compute is another big feature. Separating compute and storage gives you flexibility. It doesn't require much DBA involvement because it doesn't need any performance tuning. We are not really doing any performance tuning, and the entire burden of performance tuning and SQL tuning is on Snowflake. Its usability is very good. I don't need to ramp up any user, and its onboarding is easier. You just onboard the user, and you are done with it. There are simple SQL and UI, and people are able to use this solution easily. Ease of use is a big thing in Snowflake."
A director of business operations at a logistics company mentions, "It requires no maintenance on our part. They handle all that. The speed is phenomenal. The pricing isn't really anything more than what you would be paying for a SQL server license or another tool to execute the same thing. We have zero maintenance on our side to do anything and the speed at which it performs queries and loads the data is amazing. It handles unstructured data extremely well, too. So, if the data is in a JSON array or an XML, it handles that super well."
A Solution Architect at a wholesaler/distributor comments, "The ability to share the data and the ability to scale up and down easily are the most valuable features. The concept of data sharing and data plumbing made it very easy to provide and share data. The ability to refresh your Dev or QA just by doing a clone is also valuable. It has the dynamic scale up and scale down feature. Development and deployment are much easier as compared to other platforms where you have to go through a lot of stuff. With a tool like DBT, you can do modeling and transformation within a single tool and deploy to Snowflake. It provides continuous deployment and continuous integration abilities. There is a separation of storage and compute, so you only get charged for your usage. You only pay for what you use. When we share the data downstream with business partners, we can specifically create compute for them, and we can charge back the business."
Oracle Exadata is ranked 2nd in Data Warehouse with 22 reviews while Snowflake is ranked 1st in Data Warehouse with 49 reviews. Oracle Exadata is rated 8.8, while Snowflake is rated 8.4. The top reviewer of Oracle Exadata writes "High performing and reliable work environment". On the other hand, the top reviewer of Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". Oracle Exadata is most compared with Teradata, Oracle Database Appliance, Amazon Redshift, Oracle Autonomous Data Warehouse and IBM Netezza Performance Server, whereas Snowflake is most compared with Microsoft Azure Synapse Analytics, Amazon Redshift, Vertica, AWS Lake Formation and Azure Data Factory. See our Oracle Exadata vs. Snowflake report.
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