We performed a comparison between Infobright DB and Microsoft Parallel Data Warehouse based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"
"Tools like the BI and SAS are excellent."
"We have complete control over our data."
"One of the most important features is the ease of using MS SQL."
"The most valuable features are the performance and usability."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"It handles high volumes of data very well."
"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
"This solution would be improved with an option for in-memory data analysis."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"They need to incorporate a machine learning engine."
"It needs more compatibility with common BI tools."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"More tools to help designers should be included."
"The solution is expensive and has room for improvement."
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Infobright DB is ranked 27th in Data Warehouse while Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews. Infobright DB is rated 7.6, while Microsoft Parallel Data Warehouse is rated 7.6. The top reviewer of Infobright DB writes "If you need a real big data solution, look for a distributed solution that actually has a proven track record". On the other hand, the top reviewer of Microsoft Parallel Data Warehouse writes "An easy to setup tool that allows its users to write stored procedure, making it a scalable product". Infobright DB is most compared with MySQL and LocalDB, whereas Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, VMware Tanzu Greenplum and Snowflake.
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You are asking about front end tools but you do not mention which ones. What you have are "database backends" and each has different features. The utilization will depend on what kind of expertise you have available else you will end up trying to implement say, Teradata on Exadata which may not give you the best solution. What are your criteria for success? Based on these you will have to evaluate each solution -- I am sure each vendor will be happy to set up the environment and work with your set of sampl,e data to show you have they evaluate against your criteria.
Given we partner with many or all of the above, or can get to them as we access all data, I have the following opinion - InfoBright is very new and probable to be sold long term. It is also an expensive subscription so presents highest risk to me. Exidata is Oracle - if you like Oracle and their style, it maybe ok, but then it is Oracle. Microsoft is Microsoft - tends to be cheap to acquire and expensive to implement and maintain. Teradata is pricey but of the group presents the least risk and the greatest number of front end partners. The product I represent is unique as it is designed for high complexity large numbers of users and data and runs inside Teradata taking better advantage of the architecture.
Disclosure: I work for Information Builders