Related Products
|
||||||
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
Upsolver makes it incredibly simple to build a governed data lake and to manage, integrate and prepare streaming data for analysis. Define pipelines using only SQL on auto-generated schema-on-read. Easy visual IDE to accelerate building pipelines. Add Upserts and Deletes to data lake tables. Blend streaming and large-scale batch data. Automated schema evolution and reprocessing from previous state. Automatic orchestration of pipelines (no DAGs). Fully-managed execution at scale. Strong consistency guarantee over object storage. Near-zero maintenance overhead for analytics-ready data. Built-in hygiene for data lake tables including columnar formats, partitioning, compaction and vacuuming. 100,000 events per second (billions daily) at low cost. Continuous lock-free compaction to avoid “small files” problem. Parquet-based tables for fast queries.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Individuals in search of a tool to transform, filter, aggregate, and join data streams
|
Audience
Companies interested in a low-code data pipeline platform
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
No information available.
Free Version
Supported
Free Trial
Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
|
|||||
Company InformationArroyo
United States
www.arroyo.dev/
|
Company InformationUpsolver
Founded: 2014
Israel
www.upsolver.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Big Data Features
Collaboration
Not Supported
Data Blends
Supported
Data Cleansing
Supported
Data Mining
Supported
Data Visualization
Not Supported
Data Warehousing
Not Supported
High Volume Processing
Supported
No-Code Sandbox
Supported
Predictive Analytics
Not Supported
Templates
Not Supported
|
||||||
Integrations
AWS Fargate
Supported
AWS IoT SiteWise
Not Supported
Amazon Kinesis
Supported
Apache Avro
Supported
Apache Flink
Supported
Apache Parquet
Supported
Confluent
Supported
Delta Lake
Supported
Docker
Supported
Eco
Not Supported
|
Integrations
AWS Fargate
Not Supported
AWS IoT SiteWise
Supported
Amazon Kinesis
Not Supported
Apache Avro
Not Supported
Apache Flink
Not Supported
Apache Parquet
Not Supported
Confluent
Not Supported
Delta Lake
Not Supported
Docker
Not Supported
Eco
Supported
|
|||||
|
|
|