Aerospike
Apache Solr
Aerospike | Apache Solr | |
---|---|---|
16 | 31 | |
975 | 4,365 | |
1.9% | 0.0% | |
8.7 | 0.0 | |
5 days ago | 12 days ago | |
C | Java | |
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
- 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
Apache Solr
- Iniciando no Elasticsearch: Conceitos básicos
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YaCy, a distributed Web Search Engine, based on a peer-to-peer network
There are already many project about search:
- https://www.marginalia.nu/
- https://searchmysite.net/
- https://lucene.apache.org/
- elastic search
- https://presearch.com/
- https://stract.com/
- https://wiby.me/
I think that all project are fun. I would like to see one succeeding at reaching mainstream level of attention.
I have also been gathering links meta data for some time. Maybe I will use them to feed any eventual self hosted search engine, or language model, if I decide to experiment with that.
- domains for seed https://github.com/rumca-js/Internet-Places-Database
- bookmarks seed https://github.com/rumca-js/RSS-Link-Database
- links for year https://github.com/rumca-js/RSS-Link-Database-2024
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Getting started with Elasticsearch + Python
Elasticsearch is based on Lucene and is used by various companies and developers across the world to build custom search solutions.
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Tools to use to query and index data?
elastic search is kinda heavyweight infra for a small project. Its built on top of apache lucene (https://lucene.apache.org), which you can use directly.
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Top metrics for Elasticsearch monitoring with Prometheus
Elasticsearch is based on Lucene, which is built in Java. This means that monitoring the Java Virtual Machine (JVM) memory is crucial to understand the current usage of the whole system.
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Cross data type search that wasn’t supported well using Elasticsearch
Apache Lucene which seems to have a lot more features than Elasticsearch
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How to find closest keyphrase match in text?
Generally with term vectors and a tf-idf index. Lucene is a good starting place to help.
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Java Library to perform string search
try elasticsearch or solr, behind the scenes they both use https://lucene.apache.org/ if you don't want basically a full nosql database service, but I'd just slap solr up and call it a day.
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Top 8 Open-Source Observability & Testing Tools
OpenSearch is an open-source database to ingest, search, visualize, and analyze data. It’s built on top of Apache Lucerce, a FOSS library for indexing and search, which OpenSearch leverages for more advanced analytics capabilities, like anomaly detection, machine learning, full-text search, and more.
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grep like search with preprocessing
Lucene is the thing you think you need. Elastic Search is a nice wrapper for it. But these are Java, so maybe you want Sphinx Search (C++) or MeiliSearch (Rust).
What are some alternatives?
dragonfly - A modern replacement for Redis and Memcached
OpenSearch - 🔎 Open source distributed and RESTful search engine.
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.
Typesense - Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
ClickHouse - ClickHouse® is a free analytics DBMS for big data
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
neon - Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, branching, and bottomless storage.
loki - Like Prometheus, but for logs.
ydb - YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions
Apache Lucene - Apache Lucene.NET