Based on our record, Apache Cassandra seems to be a lot more popular than Azure Cognitive Search. While we know about 41 links to Apache Cassandra, we've tracked only 4 mentions of Azure Cognitive Search. 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.
Microsoft offers an array of different AI-powered products, including Azure OpenAI Service, Azure AI Search, Azure AI Speech, and their most recent Microsoft Copilot for Office 365. - Source: dev.to / about 1 month ago
Very cool. I wonder when it makes sense to engineer things at this level vs using something like Azure AI search. [0] Love to see version control on all the things! Wonder if the version control features would be more robust if implemented in Doltgres. [0] https://azure.microsoft.com/en-us/products/ai-services/ai-search/ [1] https://github.com/dolthub/doltgresql. - Source: Hacker News / 3 months ago
Azure Cognitive Search may seem out of place in an article on conversational AI, but I do believe that chatbots are really often a form of conversational search. You're interacting with a virtual agent looking for some piece of information or looking to accomplish some task. - Source: dev.to / over 1 year ago
In the ones where we need a persistence layer, we rely on the resources Azure Cosmos DB or Azure Database for PostgreSQL. Other services provide an API to search among a catalog of products with Azure Cognitive Search. As I will explain later, we work with different environments, therefore, creating and updating the resources across them becomes a harder task. - Source: dev.to / almost 3 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 / 17 minutes 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 / 28 days ago
HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 2 months ago
Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 8 months ago
NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 8 months ago
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.