Aerospike
Memcached
Aerospike | Memcached | |
---|---|---|
16 | 56 | |
983 | 13,260 | |
1.2% | 0.5% | |
9.0 | 8.6 | |
21 days ago | 6 days ago | |
C | C | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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.
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
Memcached
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System Design: Databases and DBMS
Memcached
- Redis Re-Implemented with SQLite
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Best engineering interview question I've gotten
> Multiple clients racing can't be fixed.
Really? You can't think of a single way for multiple clients to operate on the same data without racing? (Here's a hint if you're still having trouble: https://github.com/memcached/memcached/wiki/Commands#cas.)
- Memcached 1.6.25 Release Notes
- Memcached 1.6.24 Release Notes
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How to choose the right type of database
Memcached: A simple, open-source, distributed memory object caching system primarily used for caching strings. Best suited for lightweight, non-persistent caching needs.
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Sieve is simpler than LRU
Oh, thank you! I didn't realize that LRU Maintainer Thread was more than an expiration reaper. When it was first being introduced that was its first responsibility as lazy expiration removal by size eviction meant dead entries wasted capacity. It was all work in progress when I had read about it [1] and talked to dormando, so it got fuzzy. The compat code [2, 3] might have also thrown me off if I only looked at the setting and not the usage. Its a neat variant to all of these ideas.
[1] https://github.com/memcached/memcached/pull/97
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A Developer's Journal: Simplifying the Twelve-Factor App
stores session state in a session store like Memcached or Redis.
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In-memory database Redis wants to dabble in disk
memcached has recently gained the ability to spill to disk: https://github.com/memcached/memcached/wiki/Extstore
we recently implemented this to grow our caches to >50TB
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Django Caching 101: Understanding the Basics and Beyond
Django supports using Memcached as a cache backend. Memcached is a high-performance, distributed memory caching system that can be used to store cached data across multiple servers.
What are some alternatives?
dragonfly - A modern replacement for Redis and Memcached
Varnish - The project homepage
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.
node-cache - A simple in-memory cache for nodejs
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
ClickHouse - ClickHouse® is a real-time analytics DBMS
node-cache - a node internal (in-memory) caching module
neon - Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.
KeyDB - A Multithreaded Fork of Redis
ydb - YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions