Timeplus
KSQL
Materialize
Kafka Streams
Apache Flink
Azure Stream Analytics
Apache NiFi
Azure Data Factory
Google Cloud Dataflow
Google BigQuery
Amazon EMR
Databricks
Google Cloud Dataproc
Snowflake
Qubole
Amazon Kinesis
Ready to turn your real-time data into actions?
Timeplus Cloud: Real-Time Analytics Platform is a high-performance converged platform that unifies streaming and historical data processing.
It empowers developers to build powerful and reliable streaming analytics applications, at speed and scale, anywhere.
Timeplus Google Cloud DataflowNo features have been listed yet.
Based on our record, Google Cloud Dataflow seems to be a lot more popular than Timeplus. While we know about 14 links to Google Cloud Dataflow, we've tracked only 1 mention of Timeplus. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
* Proton is more developer friendly To explore Proton yourself, visit the [Proton GitHub repo](https://github.com/timeplus-io/proton). - Source: Hacker News / 3 months ago
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / almost 2 years ago
KSQL - Confluent KSQL is the streaming SQL engine that enables real-time data processing against Apache Kafka®.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Materialize - A Streaming Database for Real-Time Applications
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Kafka Streams - Apache Kafka: A Distributed Streaming Platform.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
