I am running a little test/poc here.
I need to load a few million rows every day into a database. And it’s not log file data, I have comma delimited rows (of columns) which would exactly fit a relational database.
After the loading, I need to allow a very fast search mechanism. Looking a bit at Google’s implementation of bigtable and structure around it, I originally thought of using hive integrated with hbase. Hive because of its querying capabilities. The loading works out fine, better than RDBMS perf. However, the querying bottleneck, which was the reason to look for alternatives to RDBMS in the first place, continues with hive too.
Testing hive for querying is not really blazing performance. Perhaps I need to look for alternatives..
Is there something else ? any other tool/solution/library that I can put on top of hbase ? or even without hbase ? (I looked at hbase as an alternative to the RDBMS, moving towards dist computing)
Suggestions please…
If you want general search capabilities you may want to look at solutions like Solr or ElasticSearch instead. HBase works well if you prepare the data for the queries you need (key design) not for general search. Also you can look at Lily which combines Solr and HBase