Infobright DB Overview
What is Infobright DB?
Infobright's high performance analytic database is designed for analyzing large volumes of machine-generated data
Infobright DB is also known as Infobright.
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Infobright DB Customers
REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango
Infobright DB Video
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MySQL DBA at a financial services firm with 51-200 employees
Dec 25, 2017
Excellent reporting server that is compatible with MySQL
What is our primary use case?We use Infobright to generate reports for our customers. As their reporting requirements may change over time, it is useful to have a flexible solution such as a columnar-store to be able to answer them.
Senior System Architect - Resiliency Engineering at a comms service provider with 10,001+ employees
Dec 5, 2017
If you need a real big data solution, look for a distributed solution that actually has a proven track record.
What is our primary use case?Big data columnar database with steady frequent writes and sporadic reads with high aggregation queries. Queries would span a few billion rows
Pros and Cons
- "It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"
- "Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
What other advice do I have?Do not use the Infobright IEE database. It is a fast, standalone columnar database masquerading as a big data solution. If you need a real big data solution, look for a distributed solution that actually has a proven track record.
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Big Data & Business Intelligence Expert
Jul 18, 2017
The setting up and running project was much faster than with the alternatives
What other advice do I have?Get the 30-day free trial version and try to implement part of your project or conduct a formal Proof of Concept (PoC). You will be surprised by how easy and fast the development is.
Computer Engineer at a financial services firm with 201-500 employees
Jul 13, 2017
In the beginning of the BigData solutions boom, our company had been working with MySQL before, and Infobright gave us the ability to avoid significant changes in our data structure.
What other advice do I have?I don't suggest using an SQL-like solution for Big Data storage at all. But, if this is the case, it should be Oracle or paid versions of MySQL.
Jun 28, 2017
I love that the solution is a columnar DB.
What other advice do I have?Be carefully with complex query and subquery; ICE does not work with these queries.
Dynamic and creative, leading a business consultancy practice in analytics, business Intelligence, crm and strategy. at a tech services company with 1-10 employees
Jun 21, 2017
It is a game changer in analytics applications.
What other advice do I have?It is very straightforward and easy to work with. It is excellent for real-time analytics, sensor data and agile data model development/implementation. Ad-hoc analytics are extremely reliable and easy to live with.
BI Developer at a tech services company with 10,001+ employees
Jul 5, 2015
For a free product, it has a relatively fast load. However, the Enterprise Edition is too expensive for something that won't replace our Oracle DWH database.
What is most valuable?The high compression and the relatively fast load for a free product.
For how long have I used the solution?I used the Community Edition for three years, when I was working for one of my previous employers.
Which solution did I use previously and why did I switch?We had not used column-oriented database before Infobright.
What about the implementation team?We implemented this solution via a vendor team but, they didn’t have experience with Infobright before, so basically, they were learning along with us.
What's my experience with pricing, setup cost, and licensing?We didn’t purchase the Enterprise Edition because it was too expensive for a product that wasn’t going to replace our main DWH database (Oracle),…
Column Oriented, Open-Source Analytic Database
Interesting Article about BigData and Column oriented engines written by a student… … Students in major of software engineering are required to take another course named “Data Storage & Information Retrieval Systems” as a prerequisite for Database. DS&IRS mainly focuses on optimized storage and retrieval of data on peripheral storages like a HDD or even Tape! (I did one of my most sophisticated and joyful projects during this course. We had to implement a search engine, which compared to the boolean model of Google, is supposed to be more accurate. More information concerning this project could be found on my older posts). During these courses, student are required to be engaged in specific projects, defined to help students gain a better perspective and intuition of the problem and issue…
Big Data Chronicles: Infobright as column-based database for analytics system
Last several months I was involved into the task of design and implementation of statistics/analytics system for the game in social network. There are a lot of users at the same time. All of them produce huge amount of events. One of the standards for analytics systems is providing fast queries for the collected data. Logically, I used OLAP cubes to collect all kinds of events needed for our team to analyze. Technically, the best way in our case is using column-based storage. I use Infobright. In our case regular RDBMS (SQL) storage or document-based DB like MongoDB is not enough because of performance. They should be used rather for OLTP, but not for MGD OLAP. From other hand, such cool gun as Hadoop-based solution would be overrun. So, Infobright is exactly the case. It was one of the…
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