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What is Stackery?

Stackery is an all-encompassing serverless platform tailored for building, developing, and deploying modern applications. It is specifically designed for teams looking to boost their serverless capabilities while maintaining a steady workflow. Providing an effortless journey from initial design through to final implementation, Stackery guarantees that users receive enterprise-grade security and scalability without the usual challenges tied to larger organizations. With the Stackery Command Line Interface (CLI), users can quickly and securely construct, deploy, invoke, and manage their application architectures. Furthermore, the visualization tools that come integrated with the VS Code IDE grant teams valuable insights into the connections between various AWS resources, promoting a better understanding of their architectural elements. By leveraging Stackery, teams benefit from critical architecture visualization, the ease of CloudLocal testing, and the capacity to make iterative modifications with minimal hassle. For those seeking to easily link cloud resources with event handlers, Stackery simplifies this process significantly. This user-friendly approach distinguishes Stackery as an essential resource for developers focused on refining their serverless applications. Overall, its comprehensive features equip teams with the tools they need to innovate and excel in the rapidly evolving serverless landscape.

What is Google Cloud Dataflow?

A data processing solution that combines both streaming and batch functionalities in a serverless, cost-effective manner is now available. This service provides comprehensive management for data operations, facilitating smooth automation in the setup and management of necessary resources. With the ability to scale horizontally, the system can adapt worker resources in real time, boosting overall efficiency. The advancement of this technology is largely supported by the contributions of the open-source community, especially through the Apache Beam SDK, which ensures reliable processing with exactly-once guarantees. Dataflow significantly speeds up the creation of streaming data pipelines, greatly decreasing latency associated with data handling. By embracing a serverless architecture, development teams can concentrate more on coding rather than navigating the complexities involved in server cluster management, which alleviates the typical operational challenges faced in data engineering. This automatic resource management not only helps in reducing latency but also enhances resource utilization, allowing teams to maximize their operational effectiveness. In addition, the framework fosters an environment conducive to collaboration, empowering developers to create powerful applications while remaining free from the distractions of managing the underlying infrastructure. As a result, teams can achieve higher productivity and innovation in their data processing initiatives.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Lumigo

Integrations Supported

CData Connect
DataBuck
Google Cloud Bigtable
Google Cloud Confidential VMs
Google Cloud Datastream
Google Cloud IoT Core
Google Cloud Knowledge Catalog
Google Cloud Managed Service for Apache Airflow
Google Cloud Platform
Google Cloud Profiler
New Relic
Orchestra
Pantomath
Protegrity
Sedai
Telmai
Ternary

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Not specified

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Stackery

Date Founded

2016

Company Location

United States

Company Website

www.stackery.io

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/dataflow

Categories and Features

Categories and Features

Data Engineering

Not specified

Data Pipeline

Not specified

Streaming Analytics

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

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