#datastore — Public Fediverse posts

После первого релиза DataSafeS3: что мы нашли и починили (v1.0.1, v1.0.2)

Первый публичный релиз DataSafeS3 ( v1.0.0 ) вышел 24 июня 2026. За несколько дней после него — v1.0.1 и v1.0.2. Оба патча про исправления: для тех, кто уже крутит своё S3-хранилище не только на ноутбуке, но и в тестовом или боевом контуре. DataSafeS3 — молодой open-source проект небольшой команды: своё хранилище файлов с S3 API, веб-консолью, пользователями, ролями и журналом действий — всё на вашем железе. Мы не MinIO и не конкуренты им — стремимся к доступному open source, который может поднять любой, кто умеет Docker и Linux. Зато честно пишем, что сломалось, что закрыли и что пока не успели. Ниже — не CHANGELOG. Для каждого изменения: что болело, как это выглядело у вас, что мы поменяли. А что вообще было в v1.0.0???

https://habr.com/ru/articles/1053082/

#s3 #datastorage #datastore_api #datastore #administration #easy #datasafes3

🚀 I just published a new article on how to set up an Encrypted Preferences DataStore in Android.

Learn how to securely store sensitive data using Jetpack DataStore + encryption.

🔗 https://medium.com/@nicosnicolaou/encrypted-preferences-datastore-442ba4d1dabe

👏 Clap if you find it useful!

#AndroidDev #Kotlin #Jetpack #DataStore

Ахиллесова пята SharedPreferences и стоит ли внедрять Datastore как альтернативу

Проблему SharedPreferences можно описать несколькими словами: ANR, блокировка перехода между экранами, явное нарушение стрик мода в Android SDK по работе в главном потоке. В чем проблема с SharedPreferences и решит ли ее Datastore - узнаем в этой статье. Узнать подробности

https://habr.com/ru/companies/alfa/articles/991556/

#SharedPreferences #Datastore #ANR

olu 0.9.0 RELEASED

olu is a JSON document store with automatic graph relationships.

Repo:
https://github.com/ha1tch/olu

Manual
https://github.com/ha1tch/olu/blob/main/MANUAL.md

Release binaries:
https://github.com/ha1tch/olu/releases/tag/v0.9.0

Use cases:

• Rapid prototyping
• Small to medium CRUD APIs
• IoT asset/device management
• Multi-tenant SaaS backends
• Content management systems
• Configuration stores with relationships
• Graph analysis and traversal

Features

• REST API: Full CRUD, filtering, pagination, field projection, REF embedding
• OQL: (sql-like subset) — SELECT, INSERT, UPDATE, DELETE, WHERE, ORDER BY, TOP, GROUP BY, aggregates (COUNT, SUM, AVG, MIN, MAX)
• Sulpher: Cypher-like graph queries — MATCH patterns, shortest path, common neighbours, incoming/outgoing traversal, cycle detection, node degree

New in 0.9.0:

• SQLite + FTS5 full-text search
• REF field embedding with configurable depth
• Graph cycle detection (warn/error/ignore)
• JWT/API key authentication
• Rate limiting with per-key quotas
• Prometheus metrics
• Multi-tenant isolation (path or strict mode)
• Docker Compose profiles for dev/test/prod

250+ unit tests, stress tests with race detector, 17 Docker integration tests. Redis cache at 36K ops/sec.

#olu #database #json #golang #foss #datastore #graph #graphdb #REST

olu 0.9.0 RELEASED

olu is a JSON document store with automatic graph relationships.

Repo:
https://github.com/ha1tch/olu

Manual
https://github.com/ha1tch/olu/blob/main/MANUAL.md

Release binaries:
https://github.com/ha1tch/olu/releases/tag/v0.9.0

Use cases:

• Rapid prototyping
• Small to medium CRUD APIs
• IoT asset/device management
• Multi-tenant SaaS backends
• Content management systems
• Configuration stores with relationships
• Graph analysis and traversal

Features

• REST API: Full CRUD, filtering, pagination, field projection, REF embedding
• OQL: (sql-like subset) — SELECT, INSERT, UPDATE, DELETE, WHERE, ORDER BY, TOP, GROUP BY, aggregates (COUNT, SUM, AVG, MIN, MAX)
• Sulpher: Cypher-like graph queries — MATCH patterns, shortest path, common neighbours, incoming/outgoing traversal, cycle detection, node degree

New in 0.9.0:

• SQLite + FTS5 full-text search
• REF field embedding with configurable depth
• Graph cycle detection (warn/error/ignore)
• JWT/API key authentication
• Rate limiting with per-key quotas
• Prometheus metrics
• Multi-tenant isolation (path or strict mode)
• Docker Compose profiles for dev/test/prod

250+ unit tests, stress tests with race detector, 17 Docker integration tests. Redis cache at 36K ops/sec.

#olu #database #json #golang #foss #datastore #graph #graphdb #REST

La Région bruxelloise dévoile son nouveau portail #opendata #belgique
https://www.archimag.com/univers-data/2025/08/04/region-bruxelloise-devoile-nouveau-portail-open-data
#Datastore existe depuis 2020 5 ans plus tard il fait peau neuve pour améliorer la lisibilité des données publiques produites Refonte du visualiseur #cartographie pour afficher toutes les données géospatiales ouvertes disponibles sur la plateforme Y figurent notamment les jeux de données de #Bruxelles #Environnement, de Perspective.brussels et d’autres organismes publics régionaux

DuckDB: Embeddable database, like sqlite, but columnar so better for certain kinds of repetitive data
https://duckdb.org/
#timeseries #datastore #database #parquet #sqlite #db #+

#Proxmox #Backup Server (#PBS) - Copier/Déplacer des sauvegardes à partir d'un espace de nom (#namespace) vers un autre espace de nom, sur un même entrepôt de données (#datastore) 🤙

#Proxmox #Backup Server (#PBS) - Copier/Déplacer des sauvegardes à partir d'un espace de nom (#namespace) vers un autre espace de nom, sur un même entrepôt de données (#datastore) 🤙

Filing, filing, everywhere, …, collating, sorting, filing

I’ve been busy these past few days with two small personal document-related projects running in parallel. I guess these can be categorised as overdue housekeeping, and finding and sorting documents that are scattered here, there, and everywhere.

Continued on blog at https://blog.macalba.net/filing-filing-everywhere/

Day 17 of #100DaysToOffload

#PKM #bearApp #dataStore #obsidianApp #notes #obsidian #bear #markdown

Filing, filing, everywhere, …, collating, sorting, filing

I’ve been busy these past few days with two small personal document-related projects running in parallel. I guess these can be categorised as overdue housekeeping, and finding and sorting documents that are scattered here, there, and everywhere.

Continued on blog at https://blog.macalba.net/filing-filing-everywhere/

Day 17 of #100DaysToOffload

#PKM #bearApp #dataStore #obsidianApp #notes #obsidian #bear #markdown

This week we’ve begun client testing with our Agora Data Catalog.

If you are interested in finding out more then take a look at: https://www.epimorphics.com/agora/ or drop us a line - we’d love to talk.

#ThisWeek #DataManagement #DataPublishing #DataCatalog #DataCollections #DataStore

This week we’ve begun client testing with our Agora Data Catalog.

If you are interested in finding out more then take a look at: https://www.epimorphics.com/agora/ or drop us a line - we’d love to talk.

#ThisWeek #DataManagement #DataPublishing #DataCatalog #DataCollections #DataStore

#Databases in the #Microservices world: "Why do we refactor apps into microservices then use the same #monolith #datastore our grandparents used?" Join us #online for #TwinCities #dotNET User Group at https://www.meetup.com/tcdnug/events/295749203/ and grab the slides at https://robrich.org/slides/databases-in-the-microservices-world/#/

#Databases in the #Microservices world: "Why do we refactor apps into microservices then use the same #monolith #datastore our grandparents used?" Join us #online for #TwinCities #dotNET User Group at https://www.meetup.com/tcdnug/events/295749203/ and grab the slides at https://robrich.org/slides/databases-in-the-microservices-world/#/

We are working on creating a Redis learning path.

Repo: https://github.com/patashale/learn-redis

If you have any ideas, suggestions or want to contribute then please use Discussions section or email us on the address mentioned in our GitHub profile. 👨‍💻

#redis #redisstack #nosql #learn #cache #datastore #education #india #contributors #volunteers #digitaltransformation #learning #opensource #remotelearning #patashale

What is #DataStore, how to implement Preference DataStore, and how to use it in a generic method.

https://www.droidcon.com/2023/01/08/preference-datastore-the-generic-way/

What is #DataStore, how to implement Preference DataStore, and how to use it in a generic method.

https://www.droidcon.com/2023/01/08/preference-datastore-the-generic-way/

Poking around with Google #Cloud, for the first time since many years. As "new" user, I find the documentation extremely confusing. I hardly understand the impact of choosing Java 11 (as opposed to Java 8 and the old GAE services) and the difference between #Datastore in the Cloud Console vs #Firestore in Firebase (and how Cloud and Firebase relate and how the SDKs relate to each other and whether there is a difference).

Why is this so complicated? Or am I missing something?

Poking around with Google #Cloud, for the first time since many years. As "new" user, I find the documentation extremely confusing. I hardly understand the impact of choosing Java 11 (as opposed to Java 8 and the old GAE services) and the difference between #Datastore in the Cloud Console vs #Firestore in Firebase (and how Cloud and Firebase relate and how the SDKs relate to each other and whether there is a difference).

Why is this so complicated? Or am I missing something?

Read on to find out what one #AndroidDev's experience of migration #CookiesStorage from #SharedPreferences to #DataStore in #Android.

https://www.droidcon.com/2022/11/18/my-experience-of-migration-cookiesstorage-from-sharedpreferences-to-datastore-in-android-part-of-the-kmm-project/

Read on to find out what one #AndroidDev's experience of migration #CookiesStorage from #SharedPreferences to #DataStore in #Android.

https://www.droidcon.com/2022/11/18/my-experience-of-migration-cookiesstorage-from-sharedpreferences-to-datastore-in-android-part-of-the-kmm-project/