3D·

Purchase MongoDB

On the watch list for almost a year and used the price weakness to buy.

06.03
MongoDB logo
Bought at €199.30
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18 Comments

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Had to think of NewKids for whatever reason
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@Alpalaka Crazy Mongo..boy!
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@Alpalaka I actually felt the same way when I pulled the value onto the wl :D
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@Alpalaka Nobody fucks Maaskantje!!!
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good luck
may i ask you why you are so convinced of the value?
earnings look really bad
I took a fundamental look
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@Memo0606 One of my main reasons for the purchase is the multicloud support for AWS, Azure and Google Cloud. The company can play everywhere. Earnings per share only turned positive in 2024, which is correct. I see it as a growth stock with a lot of potential
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@Tuffbet have you looked at the chart? or why exactly the entry now?
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@Memo0606 I buy when volatility increases to get more risk premium. I am not a chartist.
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@Tuffbet but of course you want to hold long term or
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@Memo0606 so it is
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@Tuffbet I have researched
abberkauf completely overdrawn tomorrow I'm going in too
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@Tuffbet after you bought it, it went down a lot again...
why the sick sell-off?figures were good
only the outlook was a bit subdued
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They have just been kicked out of our company (pharma approx. 60000 employees). I work there as a DBA and decommissioned the last Mongo cluster two weeks ago (everything is now running on Oracle/AIX). A colleague of mine works in the same job at a large DIY chain, where the replacement of Mongo is also planned for this year.
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@BlueVelvet and why have they been kicked out and so Oracle is replacing them?
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@Tuffbet There were several reasons for this. The multinode setup is more complex than in Oracle or MS SQL Server, where it is controlled via a simple heartbeat IP. As a result, there were noticeable latencies. Then there were problems with our standard backup software (we use Commvault), replica sets were not easily backed up. The on-board tools mongodump and mongorestore are not very effective in large scale deployments.

Furthermore, automation is used in large environments (via Ansible or Puppet) so that every system delivered is like an egg to another. This all had to be developed individually in yaml and gitlab for the Mongo deployment, whereas there are already ready-made libraries for Azure SQL, Oracle or MS SQL on premise. It was a real rat's tail as it is a niche solution.

MS NoSql solutions are now also available, as are Cosmos and Oracle, for example. The unique selling point that Mongo claimed simply no longer exists.

I could also talk about monitoring systems that have to be specially calibrated for this.

The decisive factor in the end was also the resources on the labor market. Oracle and MS SQL administrators are simply more available than those for a niche product. You can simply do the test and go to a job portal and compare the number of hits when you enter Oracle Admin or Mongo Admin.
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@BlueVelvet thanks for the insight
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