Apache Cassandra
MongoDB
Redis
ArangoDB
OrientDB
neo4j
PostgreSQL
CouchBase
pdfmarkdown.app
MarkItDown
CloudConvert
Adobe
Docling
Mark2PDF
Markdown Converter Pro
Markdown to File
pdfmarkdown.app turns any PDF into clean, AI-ready Markdown โ and it goes both ways. Everything runs in your browser, so your file never leaves your device. No signup, no upload, free.
Most converters turn a PDF into messy text: tables collapse, formulas break, figures vanish. pdfmarkdown.app is built around fidelity โ the things that usually break come through intact:
You get the original PDF and the converted Markdown side by side, and the pages it couldn't read cleanly are flagged instead of faked โ so you can trust the output before pasting it into Obsidian, your notes, or an AI tool.
It also works the other way: paste or write Markdown โ export a polished PDF.
People who live in Markdown โ Obsidian and PKM users, researchers, and anyone prepping documents for RAG, ChatGPT or Claude.
Try it: https://pdfmarkdown.app
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pdfmarkdown.app's answer:
It's the rare PDF-to-Markdown converter that runs entirely in your browser โ your file is never uploaded โ while still preserving the things that usually break: tables, formulas (LaTeX) and figures. It's also bidirectional (Markdown โ PDF too), and it shows the original and the converted Markdown side by side, flagging pages it couldn't read cleanly instead of silently faking them.
pdfmarkdown.app's answer:
People who live in Markdown โ Obsidian and PKM/Zettelkasten users, researchers and students โ plus anyone preparing documents for AI: feeding clean, RAG-ready text into ChatGPT, Claude or a local LLM.
pdfmarkdown.app's answer:
No upload and no signup: it's private by default and instant, with nothing leaving your device. Free tools usually mangle tables and formulas; the heavy-duty parsers (Marker, Docling, LlamaParse) are developer/API tools. pdfmarkdown.app aims for high fidelity in a zero-setup web app a non-developer can use, and lets you verify the result before trusting it.
pdfmarkdown.app's answer:
It started from frustration: every "free PDF to Markdown" tool turned real documents โ papers with tables and formulas โ into mush, and the good ones required uploading your files or wiring up a developer API. pdfmarkdown.app was built to do the conversion right inside the browser, privately, with the tables, math and figures actually surviving โ and to be honest about the pages it can't read cleanly rather than faking them.
pdfmarkdown.app's answer:
A client-side web app (Astro) that runs the conversion entirely in the browser โ no backend processing of your file. PDF parsing is done in-browser via a pdf.js-based worker, math is rendered with KaTeX, and everything happens locally so files are never uploaded.
Based on our record, Apache Cassandra seems to be more popular. It has been mentiond 45 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.
When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVMโsuch as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data ecosystem, choosing Java was a natural decision. - Source: dev.to / 4 months ago
In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / over 1 year ago
All messages are persisted durably for two minutes, but Pub/Sub channels can be configured to persist messages for longer periods of time using the persisted messages feature. Persisted messages are additionally written to Cassandra. Multiple copies of the message are stored in a quorum of globally-distributed Cassandra nodes. - Source: dev.to / over 1 year ago
Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / about 2 years ago
Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / about 2 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
MarkItDown - The MarkItDown library is a utility tool for converting various files to Markdown (e.g., for indexing, text analysis, etc.).
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
CloudConvert - convert anything to anything - more than 200 different audio, video, document, ebook, archive, image, spreadsheet and presentation formats supported.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Adobe - Creativity doesnโt just open doors.