Software Alternatives, Accelerators & Startups

Apache Flink VS tray.io

Compare Apache Flink VS tray.io and see what are their differences

Apache Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

tray.io logo tray.io

Enterprise-scale integration platform
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • tray.io Landing page
    Landing page //
    2023-09-21

Apache Flink videos

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • Tutorial - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • Tutorial - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

tray.io videos

Integrate Asana to Salesforce with Tray.io

Category Popularity

0-100% (relative to Apache Flink and tray.io)
Big Data
100 100%
0% 0
Web Service Automation
0 0%
100% 100
Stream Processing
100 100%
0% 0
Data Integration
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Flink and tray.io

Apache Flink Reviews

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tray.io Reviews

Top 9 MuleSoft Alternatives & Competitors in 2024
Tray.io, one of the notified MuleSoft alternatives, is an IT process automation tool that seeks to optimize workflows and improve operational efficiency. With its continuous integration, automation capabilities, and centralized monitoring, Tray.io empowers your IT teams to streamline their IT processes and focus on other important tasks.
Source: www.zluri.com
The 7 Best Embedded iPaaS Solutions to Consider for 2024
Description: Tray.io offers an API integration platform that lets users configure complex workflows, integrate applications, and add customized logic. The product features a clicks-or-code configuration for hastened setup and a quick ramp-up experience for users as well. Tray also touts a universal connector for any RESTful API, full API access via custom fields, a growing...
15+ Best Cloud ETL Tools
Tray.io is an efficient, low-code platform. This dynamic solution serves as a pillar for your ETL initiatives and is ideal for many applications, ranging from complex data transformations to workflow automation. It comes packed with different tools and elastic processes that promote operational independence and a consistent supply of reliable, real-time data.
Source: estuary.dev
15 Great Zapier Alternatives to Automate your Workflows
Positioning itself as an all encompassing “integration and automation platform,” Tray.io caters to large companies looking to sync data between cloud based services. Tray.io uses a drag-and-drop interface to build workflow, and with a library of 600+ app connectors, it holds its own against Zapier’s many 'Zaps'.
Source: paperform.co
7 Zapier Alternatives for Workflow Automation Worth Considering in 2022
Tray.io is an API integration and automation platform designed to automate tasks of the sales, marketing, and customer support fields in medium-sized businesses and large enterprises. This platform is arguably the top enterprise Zapier alternative for anyone looking for a robust platform.
Source: teckers.com

Social recommendations and mentions

Based on our record, Apache Flink should be more popular than tray.io. It has been mentiond 30 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Flink mentions (30)

  • Show HN: Restate, low-latency durable workflows for JavaScript/Java, in Rust
    Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 3 days ago
  • Array Expansion in Flink SQL
    I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 23 days ago
  • Show HN: An SQS Alternative on Postgres
    You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / about 1 month ago
  • Top 10 Common Data Engineers and Scientists Pain Points in 2024
    Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 2 months ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
View more

tray.io mentions (15)

  • How do you integrate your Shopify store with third-party tools and services?
    Use Integration Platforms: Tools like Zapier, Integromat, and Unified, AI-powered iPaaS for every team to automate at scale | Tray.io let you connect Shopify with other apps without coding. Source: 8 months ago
  • Reverse ETL recommendations?
    Check out tray.io - it's basically "more technical Zapier". Source: 12 months ago
  • Cashflow forecast based on client average days to pay
    Anaplan (anaplan.com) is an option as you'll need to setup an integration via tray.io. They are not add-ons but separate applications that will take your Xero data and replicate a copy of the data into Anaplan. Once the Xero data is in Anaplan you'll be able to do the detailed Cash Flow. I don't work for any of the companies discussed here. Source: over 1 year ago
  • Project management
    Check out tray.io they have connectors with Monday.com and Atera which can do alot of the heavy lifting. All you would need to do is create rules. Use Monday.com to house the information tied to the Atera Customer or Device. Source: over 1 year ago
  • Airtable Extension for Web Scraping
    The best way to do something like this would be to implement a tray.io, but I'd like to know if there's an extension or addon that can also tackle this workflow. Source: over 1 year ago
View more

What are some alternatives?

When comparing Apache Flink and tray.io, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Improvado.io - Improvado is an ETL platform that extracts data from 300+ pre-built connectors, transforms it, and seamlessly loads the results to wherever you need them. No more Tedious Manual Work, Errors or Discrepancies. Contact us for a demo.

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

Integrator.io iPaaS by Celigo - Next-Generation iPaaS integration platform