Apache Cassandra Reviews

Stability Reviews

Apache Cassandra mentions (45)

• Why Apache IoTDB Is Written in Java: A Decade of Engineering Trade-offs

  When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVM—such 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

• Why You Shouldn’t Invest In Vector Databases?

  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

• Data integrity in Ably Pub/Sub

  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

• Which Database is Perfect for You? A Comprehensive Guide to MySQL, PostgreSQL, NoSQL, and More

  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

• Consistent Hashing: An Overview and Implementation in Golang

  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 / over 2 years ago

Stability mentions (4)

• My AI Skeptic Friends Are All Nuts

  Maybe you're unfamiliar with diffusion models?[1] They are examples where it is hopefully clearer that these things are hard to define. If you have good programming skills you should be able to make the connection back to what this has to do with my point. If not, I'm actually fairly confident GPT will be able to do so. There's more than enough in its training data to do that. [0]... - Source: Hacker News / about 1 year ago

• The Yoga of Image Generation – Part 1

  Let's introduce Stable Diffusion, a family of models for image generation. It began in Germany as a collaboration between various companies and universities in 2021, focusing on the innovation called the latent diffusion model. Companies like Runway and EleutherAI participated in the project. Initially, Stability AI contributed computing resources, later hiring many of the original researchers, and is now the... - Source: dev.to / over 1 year ago

• Comparing Prompt Accuracy Across Various Image Generation AIs (Stable Diffusion 3.5, FLUX1.1, Imagen 3, DALL·E 3, Adobe Firefly)

  Recently, Stability AI introduced Stable Diffusion 3.5. - Source: dev.to / almost 2 years ago

• What are Vector Databases? A Beginner's Guide

  Have you ever used AI tools like ChatGPT to chat with a robot or Stable Diffusion to generate unique images? Wondered how they work? - Source: dev.to / about 2 years ago