Explore how Streambased’s real-time data ingestion capabilities outperform Adobe Experience Platform, offering seamless integration and high-speed analytics.

Real-Time Data Ingestion is a cornerstone of modern data analytics, enabling organizations to process and analyze data as it arrives. In the fast-paced digital landscape, the ability to access and act on data instantaneously can significantly enhance decision-making, customer experiences, and operational efficiency. This article compares two leading platforms in this space: Streambased and Adobe Experience Platform, focusing on their Real-Time Data Ingestion capabilities.

Understanding Real-Time Data Ingestion

Real-Time Data Ingestion involves the continuous intake and processing of data from various sources, allowing businesses to analyze information instantly. This capability is crucial for applications such as real-time customer profiling, fraud detection, and dynamic personalization.

Adobe Experience Platform’s Approach

Adobe Experience Platform offers robust streaming ingestion features designed to update Real-Time Customer Profiles with minimal latency. Key aspects include:

Latency: Data is available in the Real-Time Customer Profile within 15 minutes at the 95th percentile.
Integration: Seamless data collection from websites, mobile apps, CRM, ERP systems, and other sources via HTTP or public cloud streaming infrastructure.
Validation Modes: Synchronous and asynchronous validation to ensure data integrity and facilitate debugging.
Tools: Adobe Experience Platform Extension for creating streaming connections and integrating with marketing processes.

While Adobe provides a comprehensive solution, certain limitations may impact its effectiveness for some organizations.

Streambased’s Superior Real-Time Data Ingestion

Streambased positions itself as a more agile and high-performance alternative to Adobe Experience Platform in the realm of Real-Time Data Ingestion. Here’s how Streambased excels:

High-Speed Performance with SQL Querying

Streambased’s Analytics Service for Kafka (A.S.K) allows users to execute SQL queries directly on Kafka data with interactive speeds. This eliminates the need for traditional ETL processes, reducing latency and enabling instant data accessibility.

Seamless Integration with BI Tools

Unlike Adobe, Streambased integrates effortlessly with existing Business Intelligence tools like Snowflake and Databricks without requiring data movement. This ensures that data engineers and BI analysts can work within their familiar environments while leveraging Streambased’s real-time capabilities.

No Dependency on Complex Infrastructure

Adobe’s streaming ingestion relies heavily on existing infrastructure and can be limiting for organizations not using Kafka. Streambased, however, offers flexibility and does not constrain users to specific infrastructures, making it a more versatile choice.

Enhanced Scalability and Flexibility

With Streambased’s Iceberg Service for Kafka (I.S.K), organizations can integrate Kafka as Iceberg tables, facilitating seamless analytics in modern data warehouses. This service enhances scalability, allowing businesses to adapt to growing data volumes without compromising performance.

Comparative Analysis

Feature	Adobe Experience Platform	Streambased
Latency	< 15 minutes at 95th percentile	Significantly lower latency with A.S.K
Data Integration	Requires HTTP or specific infrastructure	Direct integration with Kafka and BI tools
Validation Modes	Synchronous and asynchronous	Streambased ensures data integrity with minimal overhead
Querying Capabilities	Limited to Adobe’s ecosystem	High-speed SQL querying directly on Kafka data
Scalability	Dependent on Adobe’s infrastructure	Highly scalable with Iceberg Service for Kafka
Flexibility	Tied to Adobe’s platform and tools	Flexible integration with various analytics tools

Why Choose Streambased?

Streambased not only matches Adobe Experience Platform in functionality but often surpasses it in performance, flexibility, and ease of integration. Key advantages include:

No ETL Required: Streambased eliminates the need for cumbersome ETL processes, providing instant data accessibility.
High-Speed Analytics: With tools like A.S.K, data engineers and analysts can perform real-time SQL queries, drastically reducing the time to insight.
Seamless Integration: Streambased works effortlessly with leading BI platforms, ensuring that organizations can leverage their existing tools without additional data movement.

Conclusion

In the competitive landscape of Real-Time Data Ingestion, Streambased emerges as a powerful alternative to Adobe Experience Platform. By offering higher speeds, greater flexibility, and seamless integrations, Streambased addresses the critical needs of data engineers, BI analysts, and AI/ML professionals seeking efficient and effective data management solutions.

Unlock the full potential of your real-time data with Streambased. Discover More