Reports

Historically, achieving real-time insights required complex systems and extra work. This guide compares Decodable and Amazon Managed Service for Apache Flink across eight critical areas that determine the success of your real-time data platform.

Data connectors are the integration points that facilitate ELT, ETL, and stream processing workflows, from simple data movement to complex data pipelines. This guide provides a deep dive into Flink connectors and explains the role they play in a larger data platform.

Real-time data is unnecessarily challenging, often consuming teams' valuable time in provisioning, configuring, and coding before delivering business value. This guide provides an in-depth look at Decodable's architecture and is tailored for data architects, engineers, and decision-makers evaluating real-time data platforms.

Choosing the right data platform to meet your specific needs can be overwhelming. Our buyer's guide is here to help you make an informed decision. Dive deep into the key considerations when evaluating real-time data platforms powered by Apache Flink.

PMC Chair Robert Metzger explores the top 5 most common mistakes and areas of confusion we see when people are getting started with Apache Flink. This article explains the related underlying principles of Flink to help you understand these issues and how to overcome them.

Get your data to the right place, in the right shape, with as little or as much processing as needed—fast. Decodable offers a unified platform for connectivity and stream processing, enabling rapid data movement and complex transformations, without the burden of infrastructure management.

DZone’s 2023 Trend Report Data Pipelines: Investigating the Modern Data Stack is here, and Decodable is a proud partner. Explore the current state of data pipelines, including data-driven design and architecture, data observability, data integration models and techniques, and more.

When it comes to collecting and accurately utilizing real-time data, companies need a solution that is easy to use, scalable, and most importantly, can reduce costs. Between December 2022 and January 2023, Gatepoint Research invited selected executives to participate in a survey themed. Download the report to see the results!

The complexity of establishing and maintaining stream processing architectures is widely acknowledged. As the costs of real-time data have become less prohibitive, skillsets are increasingly the bottleneck to leveraging the technology. Decodable is seeking to address this bottleneck directly by letting teams establish capabilities that can filter, route, enrich or transform data streams using SQL, and easily build streaming applications.