The point is that HBase is part of the Hadoop ecosystem. Not a stand alone database like Cassandra.
This is one thing that gets lost when people want to compare NoSQL databases / data stores. As to Big Data without Hadoop? Well, there’s spark on mesos … :-P And there are other Big Data systems out there but are not as well known. Lexus/Nexus had their proprietary system that they’ve been trying to sell … > On Jun 1, 2015, at 5:29 PM, Vladimir Rodionov <[email protected]> wrote: > >>> The key issue is that unless you need or want to use Hadoop, you > shouldn’t be using HBase. Its not a stand alone product or system. > > Hello, what is use case of a big data application w/o Hadoop? > > -Vlad > > On Mon, Jun 1, 2015 at 2:26 PM, Michael Segel <[email protected]> > wrote: > >> Saying Ambari rules is like saying that you like to drink MD 20/20 and >> calling it a fine wine. >> >> Sorry to all the Hortonworks guys but Amabari has a long way to go…. very >> immature. >> >> What that has to do with Cassandra vs HBase? I haven’t a clue. >> >> The key issue is that unless you need or want to use Hadoop, you shouldn’t >> be using HBase. Its not a stand alone product or system. >> >> >> >> >>> On May 30, 2015, at 7:40 AM, Serega Sheypak <[email protected]> >> wrote: >>> >>> 1. No killer features comparing to hbase >>> 2.terrible!!! Ambari/cloudera manager rulezzz. Netflix has its own tool >> for >>> Cassandra but it doesn't support vnodes. >>> 3. Rumors say it fast when it works;) the reason- it can silently drop >> data >>> you try to write. >>> 4. Timeseries is a nightmare. The easiest approach is just replicate data >>> to hdfs, partition it by hour/day and run spark/scalding/pig/hive/Impala >>> >>> пятница, 29 мая 2015 г. пользователь Ajay написал: >>> >>>> Hi, >>>> >>>> I need some info on Hbase vs Cassandra as a data store (in general plus >>>> specific to time series data). >>>> >>>> The comparison in the following helps: >>>> 1: features >>>> 2: deployment and monitoring >>>> 3: performance >>>> 4: anything else >>>> >>>> Thanks >>>> Ajay >>>> >> >>
