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Decodable for Stream Processing
Simplified stream processing for batch and real-time, helping teams make an impact fast.
What is stream processing?
Stream processing is a real-time data processing technique that continuously ingests, analyzes, and acts on data as it flows through a system. It allows businesses to gain insights and respond to events instantly, making it ideal for applications like monitoring, analytics, and decision-making. Real-time updates, such as personalized recommendations or instant notifications, help to improve customer satisfaction and engagement.
With stream processing, data can be extracted from source systems either in batches or continuously using tools like Apache Flink or Apache Kafka. The data is then transformed using custom logic developed in languages including SQL, Java, or Python, and loaded into target systems. Modern stream processing systems are designed to handle large volumes of data, making them suitable for applications with high throughput, such as IoT, social media feeds, or financial transactions.
Real-time recommendation engines: E-commerce platforms use real-time stream processing to analyze customer interactions (clicks, views, purchases) and instantly provide personalized product recommendations. This improves the shopping experience and boosts conversion rates by offering relevant suggestions in real time.
Social media sentiment analysis: Social media platforms or brands use real-time stream processing to track and analyze mentions, comments, and posts across social channels. This enables immediate sentiment analysis, allowing companies to respond quickly to trends or public relations crises as they unfold.
Real-time traffic management: Cities and transportation systems leverage real-time stream processing to monitor traffic flow, accidents, and congestion. This allows for dynamic routing suggestions, traffic light adjustments, and alerts to drivers, improving traffic conditions and reducing travel time.
Cybersecurity threat detection: Security platforms utilize real-time stream processing to analyze network traffic and system logs for suspicious behavior, such as unauthorized access attempts or malware activities. Immediate alerts and automated responses can be triggered to mitigate security breaches before they escalate.
Simplified stream processing. One platform.
The Decodable platform offers all the capabilities and flexibility of the most popular stream processing engine, without the low-level complexity.
Powered by Apache Flink, the Decodable platform makes it easy to handle both batch and real-time workloads.
Being able to meet all your data processing needs on a single platform means a single set of processing guarantees and delivery semantics.
Decodable makes it easy to connect to your source and destination systems, including built-in support for change data capture (CDC) with Debezium.
Streamlining multiple bespoke solutions to Decodable’s unified platform for ELT, ETL, and stream processing enables centralized data governance and security controls.
What sets Decodable apart?
We process millions of events daily, and need to ensure inventory levels, order statuses, and system logs are updated in real time. The Decodable team has done an amazing job abstracting away a huge amount of the complexity, allowing us to focus on our business logic.
Let's get decoding
