Price2Spy
Hull
SAP Crystal Reports
Drmetrix
Bot Analytics
Skuuudle
Prisync
9Lenses
Spark Streaming
Confluent
Amazon Kinesis
Google Cloud Dataflow
Apache Flink
Leo Platform
Lenses
Striim
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.
Price2Spy Spark StreamingBased on our record, Spark Streaming seems to be more popular. It has been mentiond 3 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.
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
Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years 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.
Confluent - Confluent offers a real-time data platform built around Apache Kafka.
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
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
