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What is SAS Event Stream Processing?

Understanding the importance of streaming data generated from various operations, transactions, sensors, and IoT devices is crucial for maximizing its potential. SAS's event stream processing provides a robust solution that integrates streaming data quality, advanced analytics, and a wide array of both SAS and open source machine learning methods, all complemented by high-frequency analytics capabilities. This cohesive approach allows for the effective connection, interpretation, cleansing, and analysis of streaming data without disruption. No matter the speed at which your data is produced, the sheer amount of data you handle, or the variety of sources you draw from, you can manage everything with ease through an intuitive interface. In addition, by establishing patterns and preparing for diverse scenarios across your organization, you can maintain flexibility and address challenges proactively as they arise, ultimately boosting your overall operational efficiency while fostering a culture of continuous improvement. This adaptability is essential in today's fast-paced data-driven environment.

What is Materialize?

Materialize is a cutting-edge reactive database that facilitates the incremental updating of views, making it easier for developers to engage with streaming data using familiar SQL syntax. This platform stands out due to its capability to directly interface with various external data sources without necessitating extensive pre-processing steps. Users can connect to live streaming sources like Kafka and Postgres databases, as well as utilize change data capture (CDC) mechanisms, while also having the option to access historical data from files or S3 storage. Materialize allows for the execution of queries, the performance of joins, and the transformation of diverse data sources through standard SQL, resulting in dynamically updated Materialized views. As new data flows in, queries remain active and are consistently refreshed, empowering developers to easily create real-time applications or data visualizations. Additionally, the process of building applications that leverage streaming data is simplified, often requiring minimal SQL code, which greatly boosts development efficiency. Ultimately, with Materialize, developers can dedicate their efforts to crafting innovative solutions instead of getting overwhelmed by intricate data management challenges, thus unlocking new possibilities in data-driven projects.

Media

Media

Integrations Supported

Azure Marketplace

Integrations Supported

Amazon Kinesis
Amazon S3
Apache Kafka
DataClarity Unlimited Analytics
Debezium
Gravity Data
Hue
Orb
PostgreSQL
PubNub

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$0.98 per hour
Free Trial Offered?

Supported Platforms

Not specified

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

SAS Institute

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/event-stream-processing.html

Company Facts

Organization Name

Materialize

Company Location

United States

Company Website

materialize.com

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Categories and Features

Data Warehouse

Not specified

Database

Not specified

Streaming Analytics

Not specified

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