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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Scale from zero to millions of events per second effortlessly. Arroyo is delivered as a single, compact binary, allowing for local development on MacOS or Linux, and seamless deployment to production environments using Docker or Kubernetes. As a pioneering stream processing engine, Arroyo has been specifically designed to simplify real-time processing, making it more accessible than traditional batch processing. Its architecture empowers anyone with SQL knowledge to create dependable, efficient, and accurate streaming pipelines. Data scientists and engineers can independently develop comprehensive real-time applications, models, and dashboards without needing a specialized team of streaming professionals. By employing SQL, users can transform, filter, aggregate, and join data streams, all while achieving sub-second response times. Your streaming pipelines should remain stable and not trigger alerts simply because Kubernetes has chosen to reschedule your pods. Built for modern, elastic cloud infrastructures, Arroyo supports everything from straightforward container runtimes like Fargate to complex, distributed setups on Kubernetes, ensuring versatility and robust performance across various environments. This innovative approach to stream processing significantly enhances the ability to manage data flows in real-time applications.

Description

Timeplus is an efficient, user-friendly stream processing platform that is both powerful and affordable. It comes packaged as a single binary, making it easy to deploy in various environments. Designed for data teams across diverse sectors, it enables the quick and intuitive processing of both streaming and historical data. With a lightweight design that requires no external dependencies, Timeplus offers comprehensive analytic capabilities for streaming and historical data. Its cost is just a fraction—1/10—of what similar open-source frameworks charge. Users can transform real-time market and transaction data into actionable insights seamlessly. The platform supports both append-only and key-value streams, making it ideal for monitoring financial information. Additionally, Timeplus allows the creation of real-time feature pipelines effortlessly. It serves as a unified solution for managing all infrastructure logs, metrics, and traces, which are essential for maintaining observability. Timeplus also accommodates a broad array of data sources through its user-friendly web console UI, while providing options to push data via REST API or to create external streams without the need to copy data into the platform. Overall, Timeplus offers a versatile and comprehensive approach to data processing for organizations looking to enhance their operational efficiency.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache Avro Yes 
Apache Kafka Yes 
Apache Parquet Yes 
Confluent Yes 
Docker Yes 
JSON Yes 
Kubernetes Yes 
Python Yes 
SQL Yes 
Amazon S3 No 
Apache Flink Yes 
ClickHouse No 
Google Sheets No 
Java No 
Microsoft Excel No 
Pulsar No 
Redash No 
Sling No 
Snowflake No 
Terraform No 

Integrations

Apache Avro Yes 
Apache Kafka Yes 
Apache Parquet Yes 
Confluent Yes 
Docker Yes 
JSON Yes 
Kubernetes Yes 
Python Yes 
SQL Yes 
Amazon S3 Yes 
Apache Flink No 
ClickHouse Yes 
Google Sheets Yes 
Java Yes 
Microsoft Excel Yes 
Pulsar Yes 
Redash Yes 
Sling Yes 
Snowflake Yes 
Terraform Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$199 per month
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Arroyo

Country

United States

Website

www.arroyo.dev/

Vendor Details

Company Name

Timeplus

Website

www.timeplus.com

Alternatives

Alternatives

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