Databricks
Google BigQuery
Looker
Jupyter
Presto DB
Informatica
Rakam
Concurrent
Aonflow
iPaaS.com
Jitterbit
Boomi
MuleSoft
Celigo
Workato
n8n.io
Aonflow is a next generation Integration Platform as a Service (iPaaS) designed to simplify the way organizations automate workflows, connect applications, and manage data flows. Whether you are a small business, enterprise, or individual user, Aonflow provides a cloud based, low code/no code visual platform to build, deploy, and scale integrations quickly—without deep technical resources.
Key features include: • Pre built connectors to popular apps and systems (CRM, eCommerce, storage, databases, etc.) so you don’t need to build everything from scratch. • A visual flow builder: create triggers, logic (transformations, conditions), actions, and automate entire workflows via drag and drop / minimal setup. • Multi tenant, cloud based architecture: accessible anywhere; scales with usage; no need for complex infrastructure setup. • Self service automation: reduces dependence on developers for routine integrations and automations. Users across marketing, sales, finance, HR, supply chain etc. can build and own flows. • Secure and reliable operations: with attention to uptime, data reliability, error handling in migrations, and support for hybrid / cloud / on premise integration scenarios.
Use cases include automating marketing operations, syncing financial data (e.g. with QuickBooks or Dynamics 365), enabling data migration, supply chain visibility, HR process automation, and more. Aonflow aims to make integration & automation accessible to non technical users, while still being powerful enough for complex, enterprise grade workflows.
Databricks AonflowAonflow's answer:
Aonflow is fully cloud‑based, multi‑tenant, and built for low‑code/no‑code users, so even non‑technical people can build and automate integrations quickly.
It has a rich library of pre‑built connectors and templates for many popular apps & systems (CRM, ERP, eCommerce, etc.), which reduces the need for custom development.
The visual flow builder and intuitive interface allow people to define triggers, data sources, transformations, logic, etc., without writing code.
It supports hybrid / on‑premise & cloud setups, which gives flexibility in how data comes in and flows out.
It emphasizes speed (fast time to value), accessibility (for all business sizes and individuals), affordability (lower dependency on developers & technical staff) and scalability.
Aonflow's answer:
Here are some differentiators / value props:
If you don’t have a big tech team, Aonflow lets you still do integrations & automation without needing heavy coding or custom builds.
Faster setup & launch: with pre‑built connectors and visual tools, you can go from idea to workflow quickly.
Flexibility: works for individuals, SMBs, as well as enterprises, so you can scale your usage.
Lower cost of ownership: less need for developer resources, fewer custom integrations, less maintenance overhead.
Good UX and intuitive interface means less training / ramp-up time.
Reliable operations (cloud uptime etc.) with support for real‑time & hybrid data flows.
Aonflow's answer:
Non‑technical or lightly technical business users (marketing teams, sales operations, HR, operations) who need to automate tasks and integrate apps without heavy developer reliance.
Small and medium businesses that need to scale processes but don’t have large IT budgets.
Enterprises that need scalability, reliable uptime, hybrid setups, and ability to integrate many apps/data sources.
Teams / departments within organizations (e.g. finance, marketing, e‑commerce, HR, supply chain) that need specific automations.
Aonflow's answer:
Aonflow was founded to solve a common pain point: many organizations have many applications, siloed data, repetitive tasks & manual workflows, but not enough technical resources or time to custom build everything.
The mission is to democratize integration & automation: make it possible for non‑developers to architect data flows, connect systems, build workflows visually, with pre‑built connectors, in a cloud environment.
The team emphasizes values like customer‑centricity, innovation, collaboration, accountability, integrity.
The vision is to be the go‑to iPaaS platform “for all users” across all sizes of businesses, offering seamless and fluid set‑up and execution of flows, with good UI, and allowing self‑service usage with tracking and reports.
Aonflow's answer:
Visual drag‑and‑drop / flow‑builder UI, with connectors to APIs of other SaaS / cloud apps.
Real‑time / scheduled triggers and event handling for workflows.
Cloud infrastructure, multi‑tenant architecture.
Use of AI features / business‑logic embedded in connectors (they mention “AI‑driven iPaaS solutions”) to simplify configuring workflows etc.
Secure integrations, data transformations, logic, error handling etc. (transforms, conditions) as part of workflow logic.
Based on our record, Databricks seems to be more popular. It has been mentiond 18 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.
Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / about 1 year ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: over 2 years ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / about 3 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / over 3 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / over 3 years ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
iPaaS.com - A next-generation, API-first integration platform built upon standards.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Jitterbit - Jitterbit is an open source integration software that helps businesses connect applications, data and systems.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Boomi - The #1 Integration Cloud - Build Integrations anytime, anywhere with no coding required using Dell Boomi's industry leading iPaaS platform.
