
Materialize
Apache Flink
KSQL
RisingWave
Apache Spark
Azure Stream Analytics
Google Cloud Dataflow
An innovative streaming SQL database and real-time analytics platform. Fast, powerful and intuitive

Profound
AI marketing platform for brands.

Which is more popular?
Based on our record, Timeplus seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | timeplus.com | digraph.dev |
| Pricing | ||
| Platforms | — | |
| Company | Startup from the United States · 2022 | Startup from the United States · 1 - 9 employees |
| Listed in |
In their own words, as submitted to SaaSHub.


Ready to turn your real-time data into actions? Timeplus Enterprise Self-Hosting: deploy on your data center or own cloud account Timeplus Proton: open-source core engine It empowers developers to build powerful and reliable streaming analytics applications, at speed and scale, anywhere.
Digraph is an AI marketing platform for brands. It brings together AI research, market intelligence, website and campaign analysis, specialist AI workflows, and marketer-led guidance to help teams understand what shapes buyer decisions and what to do next. Teams can measure how AI systems...
What each product offers, as listed by its team.


Walkthroughs and reviews on video.
Timeplus 2min demo
No Digraph.dev videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Timeplus and Digraph.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


* Proton is more developer friendly To explore Proton yourself, visit the [Proton GitHub repo](https://github.com/timeplus-io/proton). - Source: Hacker News / over 2 years ago
Tracking Digraph.dev since Oct 2026.
When comparing Timeplus and Digraph.dev, you can also consider the following products.

A Streaming Database for Real-Time Applications
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Profound helps brands gain visibility in AI-generated answers, optimize their presence in LLM-based answer engines, and stay competitive in the zero-click world.
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Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
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Confluent KSQL is the streaming SQL engine that enables real-time data processing against Apache Kafka®.
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RisingWave is a stream processing platform that utilizes SQL to enhance data analysis, offering improved insights on real-time data.
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Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
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