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Buyer's Guide
Data Warehouse
September 2022
Get our free report covering Oracle, Apache, Teradata, and other competitors of Oracle Big Data Appliance. Updated: September 2022.
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Syed SaqibGhawas - PeerSpot reviewer
Application Designer at LMKR
Real User
Top 20Leaderboard
The admission tools, BI tools, and data warehousing tools are great
Pros and Cons
  • "The solution has been reliable."
  • "We'd like to see it be a bit more compatible with other solutions."

What is our primary use case?

We primarily use the solution for data. 

What is most valuable?

Everything about the solution is great. The admission tools, their BI tools, and data warehousing tools are all good.

The solution has been reliable. It's stable. 

You can scale the product well. 

The implementation process is great.

Its interface is good. 

The tools are very good, efficient, and easy to work with.

What needs improvement?

I don't have any need for new features. 

We'd like to see it be a bit more compatible with other solutions. 

It could be faster. Right now, Oracle is a bit quicker in comparison. We'd like the solution to handle a larger amount of data faster. 

For how long have I used the solution?

I've been using the solution for about five to six years.

What do I think about the stability of the solution?

The performance and reliability are good. We find it to be very stable. There are no bugs or glitches. It doesn't crash or freeze. 

What do I think about the scalability of the solution?

The scalability of the product is great. It's easy to expand. 

It's quite efficient in all the features that we're currently using it extensively. It's giving more and more function. et cetera.

Thousands of users currently using this product. For example, our clients are normally banks and the users are in the thousands. They normally use it each and every day.

How are customer service and support?

I've never used technical support. Mostly I will Google questions to get help. I've never had a problem so big I had to call technical support for this.

Which solution did I use previously and why did I switch?

I have used Oracle and I've used IBM Db2. I switched due to the job I had. Their new tool was SQL Server.

How was the initial setup?

The initial setup is quite straightforward. It's not overly complex or difficult. We didn't have any issues implementing it. 

It's very easy to use. You just follow the simple documentation and the setup is not more than 30 minutes.

I'd rate the process a five out of five in terms of ease of implementation.

What was our ROI?

I do not track ROI. A different part of the organization might follow this. 

What's my experience with pricing, setup cost, and licensing?

I'm not sure of the licensing costs of the solution. 

What other advice do I have?

Our organization has a partnership with Microsoft right now.

I'd rate the solution a nine out of ten. I do find that, when it comes to comparing it to Oracle and other tools, there are some better things available on other products. Oracle, for example, manages a large set of data, so, and it is more optimized and a bit faster. 

Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
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Donghan Kim - PeerSpot reviewer
e-Business Department Professor at MANU MEDITEC
Real User
Top 10
Not dependent on third-party vendors
Pros and Cons
  • "We selected Apache Hadoop because it is not dependent on third-party vendors."
  • "Real-time data processing is weak. This solution is very difficult to run and implement."

What needs improvement?

Apache Hadoop's real-time data processing is weak and is not enough to satisfy our customers, so we may have to pick other products. We are continuously researching other solutions and other vendors.

Another weak point of this solution, technically speaking, is that it's very difficult to run and difficult to smoothly implement. Preparation and integration are important.

The integration of this solution with other data-related products and solutions, and having other functions, e.g. API connectivity, are what I want to see in the next release.

For how long have I used the solution?

We've started using Apache Hadoop since 2011.

Which solution did I use previously and why did I switch?

We selected Apache Hadoop because it is not dependent on third-party vendors. Previously, our main business unit was related to big vendors like IBM, Oracle, and EMC, etc. We wanted to have a competitive advantage in technology, so we selected the Apache project and used Apache open source.

What about the implementation team?

The solution was implemented through a local vendor team here in Korea.

Which other solutions did I evaluate?

We evaluated IBM, Oracle, and EMC solutions.

What other advice do I have?

My position in the company falls under the research and development of new technologies and solutions. I investigate, research, download, and read information and reports as part of my job.

Our company has a big data business division, and we propose, develop, and implement things which are related to big data projects. We are using Cloud Hadoop open source versions, distributed versions, and commercial Hadoop distributed versions. We propose all these versions to our customers from any industry.

Our focus is on the public sector. Big data is our strong point in Korea. Our company is the leader in big data technology, including infrastructure and visualization. This is a solution we provide to our customers. We are also in partnership with IBM. Our main focus is on Apache Hadoop.

We provide Apache Hadoop to our customers. I work for a systems integrator and technical consulting company.

Overall, our satisfaction with this solution is so-so. We continuously investigate new technologies and other solutions.

The Hadoop open source version was implemented in 95% of our company's customer base. Our remaining customers had the local vendor's Hadoop platform package implemented for them.

Our company is in the big data business. Before the big data business back in 1976, we implemented BI (business intelligence), DW (data warehouse), EIS, and DSS (decision support system), so we are in partnership with IBM.

I don't have advice for people looking into implementing this solution because I'm not in the business unit. I'm in the research field. My role is to plan new technology and provide consultation to our customers for big data projects in the early stages.

My rating for Apache Hadoop from a technical standpoint is eight out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Buyer's Guide
Data Warehouse
September 2022
Get our free report covering Oracle, Apache, Teradata, and other competitors of Oracle Big Data Appliance. Updated: September 2022.
633,572 professionals have used our research since 2012.