PipelineDB

223 posts

PipelineDB

PipelineDB

@pipelinedb

Open source time-series extension for PostgreSQL, focused on high-performance continuous aggregation

Venice Beach, Los Angeles Katılım Kasım 2013
43 Takip Edilen721 Takipçiler
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Azteco@Azteco_·
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PipelineDB
PipelineDB@pipelinedb·
@Mullagain1 Yes, continuous aggregations for counts using windowing is a good use case
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PipelineDB
PipelineDB@pipelinedb·
Thank you, @nehanarkhede. We've always been huge Kafka fans and have enjoyed watching the explosive growth @confluentinc has experienced over the past several years. The team at Confluent has been very impressive, and we're looking forward to contributing to the success of KSQL!
Neha Narkhede@nehanarkhede

I was always impressed by the product that Derek Nelson and the @pipelinedb community had built. Their approach of building continuously updated views on streaming data on Postgres matched our vision of how developers build streaming views and joins with KSQL on @apachekafka

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PipelineDB
PipelineDB@pipelinedb·
from the VB article: "That’s different from traditional SQL databases, which can become overwhelmed with continuous queries." ## I don't know about that! =) docs.pipelinedb.com
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PipelineDB
PipelineDB@pipelinedb·
The time-series data infrastructure space is white-hot right now
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