cachegrand
Aerospike
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cachegrand | Aerospike | |
---|---|---|
24 | 15 | |
963 | 968 | |
- | 2.7% | |
8.0 | 8.8 | |
6 months ago | 21 days ago | |
C | C | |
BSD 3-clause "New" or "Revised" License | 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.
cachegrand
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C++ caching library with tiering (RAM + disc)
Closest that comes to my mind is CacheGrand. It doesn’t have some of the features yet, but I believe @daniele_dll is working on it!
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[PC][Switzerland] Cheap Rackspace
I use this HW for benchmarking and testing my open source project cachegrand ( https://github.com/danielealbano/cachegrand)
- cachegrand
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Cachegrand, a fast, Redis compatible, KV store – hashtable documentation
https://github.com/danielealbano/cachegrand/blob/main/docs/a...
When tested with memtier_benchmark, using the Redis protocol, cachegrand itself, on the benchmarking hardware, thanks to the implemented hashtable can reach up to 5 million GET op/s and up to 4.5 million UPSERT op/s without batching, with it up to 60 million GET op/s and up to 26 million UPSERT op/s!
- cachegrand - a blazing fast, Redis compatible, Key-Value store builf for today's hardware - hashtable documentation - capable of delivering up to 112 GET mop/s and 85 UPSERT mop/s on a EPYC 7502P
- Show HN: Cachegrand – a fast OSS Key-Value store built for modern hardware
- Cachegrand – a modern OSS Key-Value store built for today's hardware
Aerospike
- 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
- Aerospike named to Inc. 5000 list of fastest-growing companies in America.
What are some alternatives?
dragonfly - A modern replacement for Redis and Memcached
varnish-cache - Varnish Cache source code repository
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.
examples - Example data structures and algorithms
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
midi-redis - A toy memory store with great performance
ClickHouse - ClickHouse® is a free analytics DBMS for big data
async-std - Async version of the Rust standard library
neon - Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, branching, and bottomless storage.
webdis - A Redis HTTP interface with JSON output
ydb - YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions