So, that would mean the hadoop distro market would be down to just cloudera? A single vendor market is not a market, it's a legacy product.
Is Microsoft Office or Microsoft Windows a legacy product?
MapR may shut down as investor pulls out after ‘extremely poor results’
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Re: MapR may shut down as investor pulls out after ‘extremely poor results’
#12To me, and a few people that I know, the most interesting part of MapR was their NFS server over multiple nodes. It solved a real problem that real customers (i.e. enterprises with money for whom tech made stuff work and not was work in itself) were willing to pay a lot of money for ( see Isilon, EMC, NetApp, etc ) but that was a non-sexy part of the MapR business -- Big Data part was much sexier. Over the last 5 yea…
The increasing adoption of object stores and other not-quite-filesystems, even when a real filesystem would be the more appropriate choice, is definitely part of this. For good or ill, people would rather work on or with one of the simplified alternatives. I'm in that camp myself now, working on a system with lame HDFS-like semantics after two decades of proving the "POSIX can't scale" folks wrong. It's just not a battle worth fighting any more, at either the technical or business level.
Re: MapR may shut down as investor pulls out after ‘extremely poor results’
#13To me, and a few people that I know, the most interesting part of MapR was their NFS server over multiple nodes. It solved a real problem that real customers (i.e. enterprises with money for whom tech made stuff work and not was work in itself) were willing to pay a lot of money for ( see Isilon, EMC, NetApp, etc ) but that was a non-sexy part of the MapR business -- Big Data part was much sexier. Over the last 5 yea…
Which of the shinier, newer solutions do you think people have found more attractive in particular? Genuinely curious, thanks!
I'm not someone very much in the "big data" [0] but from what I see streaming analytics especially Spark-based solutions are eating the world that used to be dominated by Hadoop.
I also think cloud based data lakes and tooling around them seriously decreased the appeal of Hadoop.
[0] If I can fit your big data into my memory, it is not "big data".
Re: MapR may shut down as investor pulls out after ‘extremely poor results’
#14To me, and a few people that I know, the most interesting part of MapR was their NFS server over multiple nodes. It solved a real problem that real customers (i.e. enterprises with money for whom tech made stuff work and not was work in itself) were willing to pay a lot of money for ( see Isilon, EMC, NetApp, etc ) but that was a non-sexy part of the MapR business -- Big Data part was much sexier. Over the last 5 yea…
The increasing adoption of object stores and other not-quite-filesystems, even when a real filesystem would be the more appropriate choice, is definitely part of this. For good or ill, people would rather work on or with one of the simplified alternatives. I'm in that camp myself now, working on a system with lame HDFS-like semantics after two decades of proving the "POSIX can't scale" folks wrong. It's just not a ba…
That's why I think MapR missed the mark. They had a software only solution one could deploy on a top of generic hardware in a data center to solve hundreds of TB to small number of PB storage problem that was real for enterprises and since those nodes would also be able to do compute jobs that was the way to get enterprises to adapt that technology. Going to object store was possible but it required dev time and in the game of build or buy the buy of the non-core tech is nearly always preferable. And, in case of MapR, it could be done immediately not after a massive refactoring to move to object store.
But the MapR sales people were impossible to deal with. They wanted to talk about Big Data. And all the wonderful things that we could do with it.
Me: I have lots of files. Think billions. Lets talk about what and how your stuff works to solve this problem because I'm hearing some people successfully used it on a million files scale.
Them: That's great. Let me tell you about big data that you can do using it.
Me: That's ok. I really want to solve my files problem.
Them: Big data is the future! You can change your application to do big data.
Needless to say it went nowhere fast.
Re: MapR may shut down as investor pulls out after ‘extremely poor results’
#15We're seeing a lot of regret around sprawling Hadoop deployments, so this doesn't surprise me. Other Hadoop vendors (vendor?) pivoting to machine learning is a bandaid as the compute capabilities scale beyond HDFS's performance limitations. Look towards new-gen startups around NVME/NVMEOF (WekaIO, Excelero, E8, etc etc) to fill the void.
The question is going to be: will anyone provide an intelligent way to maintain compatibility with applications that expect to interface with HDFS rather than POSIX? It's a bit of a gap right now from what we see.
Re: MapR may shut down as investor pulls out after ‘extremely poor results’
#16So, that would mean the hadoop distro market would be down to just cloudera? A single vendor market is not a market, it's a legacy product.
Azure's HDInsight all-in-one suite uses it.
Re: MapR may shut down as investor pulls out after ‘extremely poor results’
#17Re: MapR may shut down as investor pulls out after ‘extremely poor results’
#18Weren't they killed the moment Spark appeared, having heavily invested in accelerating Hadoop? I am surprised that Cloudera is still around...
Re: MapR may shut down as investor pulls out after ‘extremely poor results’
#19I think they'll be fine. At my last company we had a large MapR cluster and it was hands down more reliable and user-friendly than anything else. Maybe Cloudera will pick them up.
Re: MapR may shut down as investor pulls out after ‘extremely poor results’
#20Earlier quoted context omitted.
The increasing adoption of object stores and other not-quite-filesystems, even when a real filesystem would be the more appropriate choice, is definitely part of this. For good or ill, people would rather work on or with one of the simplified alternatives. I'm in that camp myself now, working on a system with lame HDFS-like semantics after two decades of proving the "POSIX can't scale" folks wrong. It's just not a ba…
That's why I think MapR missed the mark. They had a software only solution one could deploy on a top of generic hardware in a data center to solve hundreds of TB to small number of PB storage problem that was real for enterprises and since those nodes would also be able to do compute jobs that was the way to get enterprises to adapt that technology. Going to object store was possible but it required dev time and in t…
Sounds familiar and not surprising. s/Big Data/Java/g. Their Chief Marketing Officer is the guy who was the CMO back then at those dusk years of Sun and presided over everything getting named "Java", even the things completely unrelated to Java ... even Sun's stock ticker got renamed into JAVA :)