Aerospike
vitess
Our great sponsors
Aerospike | vitess | |
---|---|---|
15 | 60 | |
971 | 17,834 | |
3.0% | 1.6% | |
8.7 | 9.9 | |
26 days ago | 4 days ago | |
C | Go | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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
- 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.
vitess
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A MySQL compatible database engine written in pure Go
With Vitess likely merging a lot of its binaries into a single unified binary: https://github.com/vitessio/vitess/issues/7471#issuecomment-...
... it would be a wild future if Vitess replaced the underlying MySQL engine with this as long as the performance is good enough.
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The challenges of supporting foreign key constraints
Thank you for the compliment!
We recently started adding support for CTEs in Vitess! You can check out https://github.com/vitessio/vitess/pull/14321 if you want to see some technical details of the implementation.
For now, we have added preliminary support by converting them to derived tables internally, but we believe that we need to make CTEs first-class citizens themselves of query planning. Once we make that change, we can look towards supporting recursive CTEs.
This however will take some time, but then, all good things do!
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Vitess 18
Why would it be a Google project? https://github.com/vitessio/vitess
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PlanetScale Scaler Pro
This is great news. I strolled around https://github.com/vitessio/vitess/issues/12967.
Are there any public discussions of more trade-offs vitess has to make to enable fks?
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What is the best database technology to use to create a new chat app today?
MySQL + Vitess I noticed Slack gets by using MySQL because they're using Vites. From Slack's post (https://slack.engineering/scaling-datastores-at-slack-with-vitess/) it seems like they choose Vites because it facilitated a smooth transition because it's built on top of MySQL.
- Vitess – Scalable. Reliable. MySQL-Compatible. Cloud-Native. Database
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How can I avoid duplicate API calls in a serverless infra?
This sounds very similar to the connection pooling done by vitess https://vitess.io/.
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Scaling Databases at Activision [pdf]
https://github.com/vitessio/vitess/issues/12967
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Want to avoid MySQL but find PlanetScale really appealing
A lot of this is possible thanks to the magic of Vitess.
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Vitess 16
"Vitess is a database clustering system for horizontal scaling of MySQL."
https://github.com/vitessio/vitess
What are some alternatives?
dragonfly - A modern replacement for Redis and Memcached
tidb - TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial
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.
supabase - The open source Firebase alternative.
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
citus - Distributed PostgreSQL as an extension
neon - Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, branching, and bottomless storage.
go-mysql-elasticsearch - Sync MySQL data into elasticsearch
ydb - YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions
kingshard - A high-performance MySQL proxy