+
+

Related Products

  • groundcover
    32 Ratings
    Visit Website
  • RaimaDB
    9 Ratings
    Visit Website
  • JS7 JobScheduler
    1 Rating
    Visit Website
  • Google Cloud BigQuery
    1,927 Ratings
    Visit Website
  • MongoDB Atlas
    1,647 Ratings
    Visit Website
  • Ant Media Server
    227 Ratings
    Visit Website
  • Grafana
    591 Ratings
    Visit Website
  • Kasm Workspaces
    125 Ratings
    Visit Website
  • Wiz
    1,088 Ratings
    Visit Website
  • Hotspot Shield
    121 Ratings
    Visit Website

About

Scale from zero to millions of events per second. Arroyo ships as a single, compact binary. Run locally on MacOS or Linux for development, and deploy to production with Docker or Kubernetes. Arroyo is a new kind of stream processing engine, built from the ground up to make real-time easier than batch. Arroyo was designed from the start so that anyone with SQL experience can build reliable, efficient, and correct streaming pipelines. Data scientists and engineers can build end-to-end real-time applications, models, and dashboards, without a separate team of streaming experts. Transform, filter, aggregate, and join data streams by writing SQL, with sub-second results. Your streaming pipelines shouldn't page someone just because Kubernetes decided to reschedule your pods. Arroyo is built to run in modern, elastic cloud environments, from simple container runtimes like Fargate to large, distributed deployments on the Kubernetes logo Kubernetes.

About

Powered by Apache Doris, VeloDB is a modern data warehouse for lightning-fast analytics on real-time data at scale. Push-based micro-batch and pull-based streaming data ingestion within seconds. Storage engine with real-time upsert、append and pre-aggregation. Unparalleled performance in both real-time data serving and interactive ad-hoc queries. Not just structured but also semi-structured data. Not just real-time analytics but also batch processing. Not just run queries against internal data but also work as a federate query engine to access external data lakes and databases. Distributed design to support linear scalability. Whether on-premise deployment or cloud service, separation or integration of storage and compute, resource usage can be flexibly and efficiently adjusted according to workload requirements. Built on and fully compatible with open source Apache Doris. Support MySQL protocol, functions, and SQL for easy integration with other data tools.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Individuals in search of a tool to transform, filter, aggregate, and join data streams

Audience

Organizations interested in a powerful real-time data warehouse

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Arroyo
United States
www.arroyo.dev/

Company Information

VeloDB
Founded: 2023
Singapore
www.velodb.io

Alternatives

Alternatives

Apache Doris

Apache Doris

The Apache Software Foundation

Categories

Categories

Integrations

Apache Flink
Apache Kafka
AWS Fargate
Amazon Kinesis
Apache Avro
Apache Doris
Apache Parquet
Apache Spark
Confluent
Delta Lake
Docker
JSON
Kubernetes
MySQL
Python
Redis
Redpanda
Rust
SQL
dbt

Integrations

Apache Flink
Apache Kafka
AWS Fargate
Amazon Kinesis
Apache Avro
Apache Doris
Apache Parquet
Apache Spark
Confluent
Delta Lake
Docker
JSON
Kubernetes
MySQL
Python
Redis
Redpanda
Rust
SQL
dbt
Claim Arroyo and update features and information
Claim Arroyo and update features and information
Claim VeloDB and update features and information
Claim VeloDB and update features and information