
Apache Flink
Materialize
Apache Kafka
Timeplus
ClickHouse
Apache Spark
KSQL
RisingWave is a stream processing platform that utilizes SQL to enhance data analysis, offering improved insights on real-time data.

DocRaptor
Turn templates, HTML or Markdown into PDFs, images and e-invoices via API.
Which is more popular?
Based on our record, RisingWave seems to be more popular. It has been mentioned 18 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | risingwave.com | dynamicdocumentapi.com |
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In their own words, as submitted to SaaSHub.


No description of RisingWave yet.
Dynamic Document API renders PDFs and images from your own templates, from HTML and CSS or from Markdown. Use it through a REST API, SDKs for Node and Python, Zapier, Make and n8n, or an MCP server for AI agents like Claude and ChatGPT. It also creates validated e-invoices (XRechnung, ZUGFeRD /...
Walkthroughs and reviews on video.
RisingWave: Reinventing(?!) Stream Processing in the Cloud Era (Yingjun Wu)
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing RisingWave and DynamicDocumentAPI.
DynamicDocumentAPI's answer:
It covers the whole path from data to finished document in one API: you design a template in a visual or HTML editor (or send raw HTML, CSS or Markdown), send JSON, and get a PDF or image back. The same service also creates e-invoices (XRechnung, EN 16931, Factur-X / ZUGFeRD) that are validated against the official rules before they are returned, and can embed them in the PDF. Rendering is deterministic: the same template and data always give the same document, laid out by a headless browser, with no AI model generating content. Everything runs in the EU (Germany). It also ships an MCP server, so AI agents like Claude and ChatGPT can render documents directly.
DynamicDocumentAPI's answer:
Most document APIs do one thing: convert HTML to PDF, or fill templates. Dynamic Document API does both, adds image templates, PDF merging and validated e-invoices, and offers them through a REST API, SDKs for Node and Python, Zapier, Make, n8n and an MCP server for AI agents. Data is processed and stored in the EU only, files come back as signed links that expire, and storing nothing at all is a supported option. Pricing is predictable: one published credit table, the same core features on every paid plan and a spend cap you control. We also publish a render-time benchmark with its method and raw data, so you can check our speed instead of trusting a claim. The free plan includes 50 renders a month without a credit card.
DynamicDocumentAPI's answer:
Developers and product teams whose software has to send documents: invoices after a payment, certificates after a course, reports, labels and statements. Typical users are SaaS companies, marketplaces, e-commerce and learning platforms. A second group are businesses in Germany and the EU that need compliant e-invoices (XRechnung, ZUGFeRD) for the German B2B e-invoicing mandate and public-sector buyers. No-code builders use it through Zapier, Make and n8n, and teams building AI agents use the MCP server.
DynamicDocumentAPI's answer:
Almost every product eventually needs to produce documents, and most teams end up building their own rendering stack: a headless browser, fonts, page breaks, storage and retries. It works until an invoice splits a table row or a certificate shows the wrong date, and then it becomes a support ticket. We built Dynamic Document API to be that layer for them: templates, rendering and delivery as one service, hosted in Europe, treating pagination, fonts and formatting as engineering problems rather than edge cases. When e-invoicing became mandatory for B2B in Germany, we added validated XRechnung and ZUGFeRD output, and with AI agents producing more paperwork, an MCP server followed.
DynamicDocumentAPI's answer:
Rendering runs in Rust workers that drive headless Chromium over the DevTools protocol, with MiniJinja for templates. The API and control plane are built with Django and Django REST Framework, with Celery, PostgreSQL, Valkey and NATS JetStream for queues and events, and S3-compatible object storage for files. PDF/A output is checked with veraPDF and e-invoices with the official KoSIT validator. The dashboard and website are built with Next.js. Everything runs on Kubernetes in data centres in Germany.
DynamicDocumentAPI's answer:
Dynamic Document API is a young product. Our users are mostly developers and small SaaS teams, and we don't name customers without their permission.
Share your experience with using RisingWave and DynamicDocumentAPI. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Player data is ingested into a Kafka topic, and RisingWave consumes this stream to create materialized views for real-time analysis. Using BI tools like Superset or Grafana, we’ll build dashboards to monitor player performance and power... - Source: dev.to / about 1 year ago
RisingWave is the only system today that supports complete, end-to-end architecture for streaming CDC into Apache Iceberg, making it the state-of-the-art solution in this space. - Source: dev.to / about 1 year ago
RisingWave is a high-performance streaming database built in Rust. It’s PostgreSQL-compatible and lets users write sophisticated stream processing logic using standard SQL - no need to learn a new DSL or framework. - Source: dev.to / over 1 year ago
Tracking DynamicDocumentAPI since Oct 2026.
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