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MapR may shut down as investor pulls out after ‘extremely poor results’

108 点作者 heyyyouu将近 6 年前

11 条评论

xkgt将近 6 年前
As many others pointed out, these product vendors are getting killed by the cloud (I am not saying whether it is good or bad). On-demand compute and storage scalability of cloud makes perfect sense for Big data infrastructure.<p>These companies are failing because they can&#x27;t establish a use case of running their product on cloud. It is ironic because when AWS started EMR, MapR was one of the distributions they offered via EMR[1]. Over period of time, they weened off MapR and stopped offering them as deployment option. So it is another case of AWS cannibalizing its own third party ecosystem.<p>Once this was gone, MapR got reduced just another marketplace partner [2] and their additional licensing cost didn&#x27;t make sense when native EMR was sufficient for most use case.<p>[1] <a href="https:&#x2F;&#x2F;aws.amazon.com&#x2F;emr&#x2F;mapr&#x2F;pricing&#x2F;" rel="nofollow">https:&#x2F;&#x2F;aws.amazon.com&#x2F;emr&#x2F;mapr&#x2F;pricing&#x2F;</a> [2] <a href="https:&#x2F;&#x2F;mapr.com&#x2F;partners&#x2F;partner&#x2F;amazon-elastic-mapreduce-and-mapr&#x2F;" rel="nofollow">https:&#x2F;&#x2F;mapr.com&#x2F;partners&#x2F;partner&#x2F;amazon-elastic-mapreduce-a...</a>
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notyourday将近 6 年前
To 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.<p>Over the last 5 years the real money making enterprises solved their &quot;it should look like a big file system&quot; problem so &quot;the rest of our stuff works&quot; issue stopped being an issue ( in a process Isilon got bought by the EMC, EMC got bought by Dell ) either by buying those specialized solutions, moving to object store or building home grown systems that worked with their specific applications and big data people went with newer, more shiny big data solutions, leaving MapR with no market.
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joehandzik将近 6 年前
We&#x27;re seeing a lot of regret around sprawling Hadoop deployments, so this doesn&#x27;t surprise me. Other Hadoop vendors (vendor?) pivoting to machine learning is a bandaid as the compute capabilities scale beyond HDFS&#x27;s performance limitations. Look towards new-gen startups around NVME&#x2F;NVMEOF (WekaIO, Excelero, E8, etc etc) to fill the void.<p>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&#x27;s a bit of a gap right now from what we see.
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atombender将近 6 年前
Lots of interesting discussion here about billions of files and what not. I don&#x27;t really work with big data -- the largest amounts of data I work with are in the range of tens of millions at most, and my modest &quot;ETL&quot; is about reading from APIs and cleaning up incoming data into consistent schemas, refining data (e.g. geocoding addresses, or correlating against public demographic records&#x2F;statistics), a process that is super fast and doesn&#x27;t even require multiple nodes for the most part -- so I never encounter anything I can&#x27;t solve with some Postgres or Redis. What I&#x27;d love to know is what everyone is actually <i>doing</i> with their huge clusters. I can understand the need for big data in hard sciences (CERN, or genetics, or similar), and of course machine learning (e.g. image feature extraction), and then there are real time auction use cases like ad servers that probably have some big data component. What else are people doing out there?
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kwillets将近 6 年前
MapR has been reduced.<p>Hadoop was the floppy disk of big data. Ubiquitous, but always beat by other solutions.
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moonjoAWS将近 6 年前
Any impacted engineers looking for a new home in the Bay Area or Seattle, feel free to reach out moonjo@amazon.com to learn more about teams with Redshift.
Joeri将近 6 年前
So, that would mean the hadoop distro market would be down to just cloudera? A single vendor market is not a market, it&#x27;s a legacy product.
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bitL将近 6 年前
Weren&#x27;t they killed the moment Spark appeared, having heavily invested in accelerating Hadoop? I am surprised that Cloudera is still around...
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Communitivity将近 6 年前
This is sad. I remember the MapR demo at the NVidia GTC a couple years ago, and their demo was amazing. I hope they pull a rabbit out of the hat and are able to continue, but if they don&#x27;t then I hope they Open Source as much as they can.
purplezooey将近 6 年前
I think they&#x27;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.
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kod将近 6 年前
Hope they&#x27;re able to open source some of their tech if this does come to pass.