Apache Spark
Apache Flink
Hadoop
Apache Kafka
Apache Hive
Apache Storm
Splunk
Apache Airflow
Timeplus
Materialize
Apache Flink
KSQL
RisingWave
Azure Stream Analytics
Amazon Kinesis
Splunk
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Apache Spark TimeplusBased on our record, Apache Spark seems to be a lot more popular than Timeplus. While we know about 80 links to Apache Spark, 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.
Feature transformations should be deterministic: The same input should produce the same output when the same feature definition and configuration are applied. This is what allows training, backtesting, and live inference to remain aligned. Tools such as Pandas, Spark, or feature platforms such as Feast can be used to implement that logic. - Source: dev.to / 3 months ago
Apache Spark provides distributed in-memory data processing and is the appropriate tool when the data set to be reconciled does not fit in a single machine's memory, or when parallelizing the comparison across a cluster would reduce runtime from hours to minutes. - Source: dev.to / 4 months ago
When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVM—such as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data ecosystem, choosing Java was a natural decision. - Source: dev.to / 5 months ago
For handling even larger datasets or building production applications, Apache Spark provides excellent Parquet support with distributed processing capabilities. - Source: dev.to / 6 months ago
You may want to consider renaming this project. The name "Spark" already refers to: A popular data analytics framework of the Apache Foundation: https://spark.apache.org/ A subset of the Ada programming language used for formal verification: https://learn.adacore.com/courses/intro-to-spark/chapters/01_Overview.html An Nvidia AI development system: https://www.nvidia.com/en-us/products/workstations/dgx-spark/. - Source: Hacker News / 8 months ago
* Proton is more developer friendly To explore Proton yourself, visit the [Proton GitHub repo](https://github.com/timeplus-io/proton). - Source: Hacker News / over 2 years ago
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Materialize - A Streaming Database for Real-Time Applications
Hadoop - Open-source software for reliable, scalable, distributed computing
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
KSQL - Confluent KSQL is the streaming SQL engine that enables real-time data processing against Apache Kafka®.
Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.