>> At a high level, KTables provide a capability to query for data. Can you elaborate? Do you refer to "Interactive Queries" feature?
>> And I imagine latency/throughout of KTable queries depend on the number of >> consumers the query would have to touch to complete. Similar here. I am not sure if I can follow. -Matthias On 11/2/18 4:27 AM, Tom Szumowski wrote: > Thank you for the clarification. I understand they are fundamentally > different underneath than a relational database, and may not be fair to > compare directly. > > But how about benchmarks that aren't a comparison from other databases? > > At a high level, KTables provide a capability to query for data. Suppose I > have a requirement to fetch thr data in less than X milliseconds. It seems > fair to want to understand if a KTable can satisfy that capability under > some configuration, or if I need to seek alternate solutions. > > And I imagine latency/throughout of KTable queries depend on the number of > consumers the query would have to touch to complete. For example, in > complex joins or filters. Or perhaps a trade-off with GlobalKTables... > > That's the kind of information in terms of benchmarks I'd be interested in > knowing exists or not. > > Thank you, > > Tom > > On Thu, Nov 1, 2018, 16:24 Matthias J. Sax <matth...@confluent.io wrote: > >> I am not aware if benchmarks, but want to point out, that KTables work >> somewhat different to relational database system. Thus, you might want >> to evaluate not base on performance, but on the semantics KTable provide. >> >> Recall, that Kafka Streams is a stream processing library while a >> database system is a "batch processing" system. It's two quite different >> types of systems and benchmarking them to compare each other is >> questionable. >> >> >> -Matthias >> >> On 10/31/18 12:18 PM, Tom Szumowski wrote: >>> I was wonderinf if anyone had or knew of benchmark tests for KTable or >>> GlobalKTable queries/joins, as compared to alternatives such as >> distributed >>> databases. >>> >> >> >
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