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"
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"I am very satisfied with the customer service/technical support."
"It is not a pricey product compared to other data warehouse solutions."
"Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it."
"The solution's integration is good."
"The most valuable feature for me is querying."
"Data collection and reporting are valuable features of the solution."
"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
"The product does not have all of the features that the native products have."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"The query is slow if we don't optimize it."
"It needs more compatibility with common BI tools."
"We find the cost of the solution to be a little high."
"I would like to see better visualization features."
"I think that the error messages need to be made more specific."
"I would like the tool to support different operating systems."
More Microsoft Parallel Data Warehouse Pricing and Cost Advice →
Earn 20 points
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.
See our list of best Data Warehouse vendors.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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