midi-redis
Aerospike
midi-redis | Aerospike | |
---|---|---|
1 | 16 | |
27 | 972 | |
- | 1.6% | |
0.0 | 8.7 | |
almost 2 years ago | 4 days ago | |
C++ | C | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
midi-redis
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Dragonflydb – A modern replacement for Redis and Memcached
Yes, helio is the library that allows you to build c++ backends easily similar to Seastar. Unlike Seastar that is designed as futures and continuations library, helio uses fibers which I think simpler to use and reason about. I've wrote a few blog posts a while ago about fibers and Seastar: https://www.romange.com/2018/07/12/seastar-asynchronous-c-fr... one of them. You will see there a typical Seastar flow with continuations. I just do not like this style and I think C++ is not a good fit for it. Having said that, I do think Seastar is 5-star framework and the team behind it are all superstars. I learned about shared-nothing architecture from Seastar.
Re helio: You will find examples folder inside the projects with sample backends: echo_server and pingpong_server. Both are similar but the latter speaks RESP. I also implemented a toy midi-redis project https://github.com/romange/midi-redis which is also based on helio.
In fact dragonfly evolved from it.
Aerospike
- System Design: Databases and DBMS
- Ask HN: Why are there no open source NVMe-native key value stores in 2023?
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Aerospike Driver for LINQPad
Aerospike for LINQPad 7 is a data context dynamic driver for interactively querying and updating an Aerospike database using “LINQPad”. The driver is free. For more information go to this blog post. You can directly download the driver from the LINQPad NuGet manager.
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Using In-Memory Databases in Data Science
Aerospike is a real-time cloud structured platform with good performance capabilities. This IMDB platform allows enterprises to perform their operations in real time through the hybrid memory and parallelism model.
- System Design: Caching, Content Delivery Networks (CDN) & Proxies.
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Block and Filesystem side-by-side with K8s and Aerospike
Block storage stores a sequence of bytes in a fixed size block (page) on a storage device. Each block has a unique hash that references the address location of the specified block. Unlike a filesystem, block storage doesn't have the associated metadata such as format-type, owner, date, etc. Also, block storage doesn’t use the conventional storage paths to access data like a filesystem file. This reduction in overhead contributes to improved overall access speeds when using raw block devices. The ability to store bytes in blocks allows applications the flexibility to decide how these blocks are accessed and managed, making block storage an ideal choice for low latency databases such as Aerospike. From a developer's perspective, a block device is simply a large array of bytes, usually with some minimum granularity for reads and writes. In Aerospike this granularity is configured and referred to as the write-block-size. The Aerospike Kubernetes Operator uses the storage infrastructure software inside of Kubernetes and the need for data platforms to use raw block storage becomes ever more important.
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Aerospike & IoT using MQTT
This example shows how the Aerospike database can be easily and scalably used to store industrial time series data made available by the MQTT ecosystem. Aerospike plus its Community Time Series Client streamlines the storage and retrieval of the data, supporting the ability to both write and read millions of data points per second if required.
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Building Large-Scale Real-Time JSON Applications
Real-time large-scale JSON applications need reliably fast access to data, high ingest rates, powerful queries, rich document functionality, scalability with no practical limit, always-on operation, and integration with streaming and analytical platforms. They need all this at low cost. The Aerospike Real-time Data Platform provides all this functionality, making it a good choice for building such applications. The Collection Data Types (CDTs) in Aerospike provide powerful support for modeling, organizing, and querying a large JSON document store. Visit the tutorials and code sandbox on the Developer Hub to explore the capabilities of the platform, and play with the Document API and query capabilities for JSON.
- System Design: NoSQL databases
- System Design: Caching
What are some alternatives?
dragonfly - A modern replacement for Redis and Memcached
cachegrand - cachegrand - a modern data ingestion, processing and serving platform built for today's hardware
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
webdis - A Redis HTTP interface with JSON output
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
helio - A modern framework for backend development based on io_uring Linux interface
ClickHouse - ClickHouse® is a free analytics DBMS for big data
amzn-drivers - Official AWS drivers repository for Elastic Network Adapter (ENA) and Elastic Fabric Adapter (EFA)
neon - Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, branching, and bottomless storage.
ydb - YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions