Based on our record, Apache Cassandra should be more popular than Apache Tika. It has been mentiond 44 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.
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 / 14 days 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 / 6 months 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 / 10 months 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 1 year ago
On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / about 1 year ago
Strongly recommend using Apache Tika[1] for this. It's industry standard for ubiquitous document text extraction. You can take the text output from Tika, chunk it with something like Chonkie[2], and embed it for your search index. -[1]https://tika.apache.org/ -[2]https://chonkie.ai/. - Source: Hacker News / 28 days ago
Apache Tika could help extract the relevant bits of PDFs, couldnt it? https://tika.apache.org/. - Source: Hacker News / 11 months ago
Apache Tika has worked well for me in the past, ended up running it on an AWS Lambda https://tika.apache.org/. - Source: Hacker News / almost 2 years ago
If you accept running Java, the Apache Tika is extremely good at parsing content (https://tika.apache.org/). - Source: Hacker News / almost 2 years ago
Apache Tika can spit out text from lots of formats. I've used it with grep (or rg) to make a small scale searching of local folders. Tika does a really good job at OCR for finding if text is in a file. Source: about 2 years ago
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Apache Archiva - Apache Archiva is an extensible repository management software.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
highlight.js - Highlight.js is a syntax highlighter written in JavaScript. It works in the browser as well as on the server.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Asklayer - Get real answers from your customers with Asklayers surveys, quizzes, polls and more. Works on any website with zero code and includes enterprise level features such auto-segmentation, user tagging, branching, NPS & CSAT calculation.