Replication
Versioning
Observability
Encryption
Key Management Server
S3 Compatibility
Object Immutability
Catalog
Object Prompt
Identity + Access Mgt
Firewall
AIHub
Lifecycle
Cache
Events and Lambdas
Console
Erasure Code Calculator
Reference Hardware
Integrations with MinIO
Download MinIO Object Store
Events
AI Data Workflows with Kafka and MinIO
AIStor is a foundational component for creating and executing complex data workflows. At the core of this event-driven functionality is MinIO bucket notifications using Kafka.
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Building on the Lessons from Kafka: How AutoMQ and MinIO Solve Cost and Elasticity Challenges
AutoMQ enhances Kafka's architecture by using MinIO's object storage, cutting costs, and boosting elasticity while keeping Kafka API compatibility. This combo offers scalable, secure, and efficient data streaming, ideal for diverse cloud environments.
Read more...Build a Streaming CDC Pipeline with MinIO and Redpanda into Snowflake
Build a streaming Change Data Capture (CDC) pipeline with Redpanda and MinIO into Snowflake. This solution simplifies data migration and analytics, with Redpanda offering scalability, MinIO as efficient storage, and Snowflake as a cloud-native analytics engine.
Read more...Confluent Platform with MinIO Tiered Object Storage Throughput Benchmark
Confluent, Intel and MinIO conducted benchmarking and certification testing for MinIO Tiered Object Storage for Kafka storage. This blog post describes the observations and results of testing MinIO object storage as a backend for the tiered storage feature of Confluent Platform 7.1.0 on servers equipped with third generation Intel Xeon Scalable processors. The scope of these tests was
Read more...Streamlining Data Streaming: A Guide to WarpStream and MinIO
Explore the next generation of data streaming with WarpStream and MinIO! While Apache Kafka has been the standard for streaming data, it may be time to consider a simpler, more cost-effective, and cloud-native solution.
Read more...End to End Spark Structured Streaming for Kafka Topics
Apache Kafka and Apache Spark are two leading technologies used to build the streaming data pipelines that feed data lakes and lake houses. At a really high level, Kafka streams messages to Spark where they are transformed into a format that can be read in by applications and saved to storage.
Read more...Spark Structured Streaming With Kafka and MinIO
Kafka and Spark Structured Streaming are used together to build data lakes/lake houses fed by streaming data and provide real time business insights.
Read more...Making the Most of Streaming with Kafka Schema Registry and MinIO
Make you Kafka topics performant and efficient with Kafka Schema Registry.
Read more...How to Set up Kafka and Stream Data to MinIO in Kubernetes
Apache Kafka is an open-source distributed event streaming platform that is used for building real-time data pipelines and streaming applications. It was originally developed by LinkedIn and is now maintained by the Apache Software Foundation. Kafka is designed to handle high volume, high throughput, and low latency data streams, making it a popular choice for building scalable and reliable data
Read more...Publish from Kafka, Persist on MinIO
Streaming data is a core component of the modern object storage stack. Whether the source of that data is an edge device or an application running in the datacenter, streaming data is quickly outpacing traditional batch processing frameworks. Streaming data includes everything from log files (think Splunk SmartStore), web or mobile applications, autonomous vehicles, social networks and, of course financial
Read more...Modern Data Lake with MinIO : Part 1
In the first part of this two post series, we’ll take a look at how object storage is different from other storage approaches and why it makes sense to leverage object storage like Minio for data lakes.
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