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schemaless
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GlueSQL is quite sticky. It attaches to anywhere.
World's fastest log analysis: λ + SQL + JSON + S3
CursusDB is an open-source distributed in-memory yet persisted document oriented database system with real time capabilities.
⛈️ RumbleDB 1.23.0 "Mountain Ash" 🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more
A new schemafull, Postgres compatible, high-performance database written from scratch in Rust. https://crates.io/crates/rasterizeddb_core
EntityFramework, EF Core, ADO.NET, ORM,Stmt,TDengine
WooriDB is a general purpose time serial database. It is schemaless, key-value storage and uses its own query syntax that is similar to SparQL.
An easy-to-use, lightweight embedded on-disk database built on Badger for use in your Go programs.
Fast, lightweight, thread safe, dynamic type and schema-less golang utility and easy JSON handler
YaBSON is a library allowing schemaless binary-encoded parsing/serialization of JavaScript data with a generator-based implementation
a schemaless implementation based on postgres and jsonb
This session explores the benefits and challenges of adopting a schemaless approach in modern application development, focusing on practical strategies for implementing flexible data models.
Demos of my sessions at SQL Saturday 613 (http://www.sqlsaturday.com/613)
A simple graph data manager, in other words: on the fly schemaless multi-model data client with timeseries wannabes
A schemaless database for large-scale, real-time document processing.
UnSQL is an open-source, lightweight JavaScript library that provides schema-less, class based, clean and modern interface to interact with structured Database (MySQL), through dynamic query generation. UnSQL is compatible with JavaScript based runtimes like Node.js and Next.js
Define class schemas via decorators. Convert objects into keyless arrays for efficient network transmission. Decode them back into structured objects using the same schema. Ideal for compact, schema-based messaging, especially with MessagePack.
What if we use file system as database?