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What is ksqlDB?

With the influx of data now in motion, it becomes crucial to derive valuable insights from it. Stream processing enables the prompt analysis of data streams, but setting up the required infrastructure can be quite overwhelming. To tackle this issue, Confluent has launched ksqlDB, a specialized database tailored for applications that depend on stream processing. By consistently analyzing data streams produced within your organization, you can swiftly convert your data into actionable insights. ksqlDB boasts a user-friendly syntax that allows for rapid access to and enhancement of data within Kafka, giving development teams the ability to craft real-time customer experiences and fulfill data-driven operational needs. This platform serves as a holistic solution for collecting data streams, enriching them, and running queries on the newly generated streams and tables. Consequently, you will have fewer infrastructure elements to deploy, manage, scale, and secure. This simplification in your data architecture allows for a greater focus on nurturing innovation rather than being bogged down by technical upkeep. Ultimately, ksqlDB revolutionizes how businesses utilize their data, driving both growth and operational efficiency while fostering a culture of continuous improvement. As organizations embrace this innovative approach, they are better positioned to respond to market changes and evolving customer expectations.

What is Arroyo?

Scale from zero to millions of events each second with Arroyo, which is provided as a single, efficient binary. It can be executed locally on MacOS or Linux for development needs and can be seamlessly deployed into production via Docker or Kubernetes. Arroyo offers a groundbreaking approach to stream processing that prioritizes the ease of real-time operations over conventional batch processing methods. Designed from the ground up, Arroyo enables anyone with a basic knowledge of SQL to construct reliable, efficient, and precise streaming pipelines. This capability allows data scientists and engineers to build robust real-time applications, models, and dashboards without requiring a specialized team focused on streaming. Users can easily perform operations such as transformations, filtering, aggregation, and data stream joining merely by writing SQL, achieving results in less than a second. Additionally, your streaming pipelines are insulated from triggering alerts simply due to Kubernetes deciding to reschedule your pods. With its ability to function in modern, elastic cloud environments, Arroyo caters to a range of setups from simple container runtimes like Fargate to large-scale distributed systems managed with Kubernetes. This adaptability makes Arroyo the perfect option for organizations aiming to refine their streaming data workflows, ensuring that they can efficiently handle the complexities of real-time data processing. Moreover, Arroyo’s user-friendly design helps organizations streamline their operations significantly, leading to an overall increase in productivity and innovation.

Media

Media

Integrations Supported

SQL
Hue

Integrations Supported

SQL
AWS Fargate
Amazon Kinesis
Apache Avro
Apache Flink
Apache Kafka
Apache Parquet
Confluent
Delta Lake
Docker
JSON
Kubernetes
PostgreSQL
Python
Redis
Rust

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Confluent

Date Founded

2014

Company Location

United States

Company Website

www.confluent.io/product/ksqldb/

Company Facts

Organization Name

Arroyo

Company Location

United States

Company Website

www.arroyo.dev/

Categories and Features

Database

Not specified

Query Engines

Not specified

Categories and Features

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