A highly-specialized online tool, Price2Spy is launched back in 2011 and is now used by more than 680 companies of all sizes, worldwide.
It helps eCommerce professionals to monitor, track and analyze their competitors' or retailers' product pricing and availability. Users are offered both pricing acquisition as well as multiple reporting mechanisms for analyzing data.
Price2Spy is based on 4 main mechanisms (price comparison, price change alerts, pricing analytics, and repricing), it provides essential aid – both in everyday pricing operations (an email alert each time it detects a price or availability change) and in strategic decision-making.
With advanced features like B2B price checks (prices protected by username/password), in-cart price capturing, and stealth IP monitoring, it represents a state-of-the-art solution when it comes to price monitoring.
Price2Spy is even capable of monitoring websites that are built to shield off monitoring applications. You can virtually see the pricing of your competition even if their websites don’t want to be monitored.
The Repricing module enables you to define your own pricing strategies identity which products can go up / down in price, and get these prices changed in your online store.
There is little to be done from your end to get the system up and running. Price2Spy offers tutorials, demos, and online support to help users along the way.
Based on our record, Apache Flink seems to be more popular. It has been mentiond 27 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.
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 / 25 days 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 / 3 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 / 5 months ago
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 5 months ago
Hull - The engagement layer for the internet. Hull is a platform that offers identity management, user engagement, segmentation and targeted messaging for your app.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
SAP Crystal Reports - SAP Crystal Reports offers easy-to-use BI and reporting tool to design and deliver meaningful business reports.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Drmetrix - DRMetrix is the first 24/7 commercial monitoring platform designed for the direct response television industry
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.