Open Data Hub
Presto DB
IBM Watson Studio
Apache Calcite
C3 AI Suite
Managed MLflow
Keras
TensorFlow
Apache Cassandra
Redis
MongoDB
ArangoDB
PostgreSQL
OrientDB
neo4j
MySQL
Open Data HubNo features have been listed yet.
Based on our record, Apache Cassandra seems to be a lot more popular than Open Data Hub. While we know about 44 links to Apache Cassandra, we've tracked only 3 mentions of Open Data Hub. 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.
Perhaps have a look at OpenDataHub. While geared for Openshift, see if they solved some of your concerns. Source: almost 2 years ago
A common approach is to deploy JupyterHub on Kubernetes and configure it for Elyra, like it is done in Open Data Hub on the Red Hat OpenShift Container platform. - Source: dev.to / over 4 years ago
If you are interested in running pipelines on Apache Airflow on the Red Hat OpenShift Container Platform, take a look at Open Data Hub. Open Data Hub is an open source project (just like Elyra) that should include everything you need to start running machine learning workloads in a Kubernetes environment. - Source: dev.to / over 4 years 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 / 16 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 / 11 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
Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Apache Calcite - Relational Databases
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.