Apache Flink
Apache Spark
Amazon Kinesis
Spring Framework
Spark Mail
Apache Airflow
Confluent
Grails
Grow
Looker
Domo
Databox
Chartio
Tableau
QlikSense
Whatagraph
Apache FlinkBased on our record, Apache Flink should be more popular than Grow. It has been mentiond 29 times since March 2021. 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.
I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 15 days ago
You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / 29 days ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / about 2 months ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 6 months ago
Grow is the best platform for business intelligence and data analytics software that offers the organizations a potent tool for KPI visualization, analysis, and tracking. It provides cutting-edge technology with user-friendly features to help you reach your professional objective. To know more, visit grow.com. Source: 11 months ago
A Grow integration refers to the process of connecting and combining two different systems or applications. Grow is a reporting and data analytics platform that enables companies to collect, visualize, and analyze their data from various sources in one central location. If you want to integrate various systems and data sources, visit grow.com. Source: 11 months ago
Grow.com is a Business Intelligence and data analytics platform that empowers organizations organization to gather, visualize and analyze their data to make data-driven decisions. Check out a quick description of our stunning product at grow.com. Your business dashboards will never look better. Source: 12 months ago
In today's business world, it is imperative to keep track of numerous key performance indicators (KPIs) and metrics to achieve success. By investing in Grow's robust data visualization software, your organization can streamline data collection and make real-time smart business decisions. Contact us to learn more about Grow’s pricing, features, tools, and other services at Grow.com. Source: about 1 year ago
The software dashboard is a crucial component of BI dashboard software that enables you to monitor crucial data in real-time without having to repeatedly expend a lot of effort. You can use it to track the progress of your company, find chances for expansion, forecast market trends, and more. Visit grow.com for more information. Source: over 1 year ago
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
Databox - Databox is Business Analytics platform that helps companies deliver insights and analytics anytime and anywhere.
