HBase can very well be a standalone database, but we are debating semantics not technology I suspect. HBase uses some Hadoop ecosystem technologies but is absolutely a first class data store. I need to look no further than my employer for an example of a rather large production deploy of HBase* as a (internal) service, a high scale data storage platform.
* - Strictly speaking HBase accessed with Apache Phoenix's JDBC driver. > On Jun 2, 2015, at 10:32 AM, Michael Segel <[email protected]> wrote: > > 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 >>>>> >>> >>> >
