Search Results for "structured storage"
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Showing 21 open source projects for "structured storage"
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RocksDB
A library with an embeddable, persistent key-value store for storage
RocksDB uses a log structured database engine, written entirely in C++, for maximum performance. Keys and values are just arbitrarily-sized byte streams. RocksDB is optimized for fast, low latency storage such as flash drives and high-speed disk drives. RocksDB exploits the full potential of high read/write rates offered by flash or RAM. RocksDB is adaptable to different workloads. -
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HDF5
Official HDF5® Library Repository
HDF5 (Hierarchical Data Format v5) is a widely-used data management library and file format for storing large and complex scientific data sets efficiently. -
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Cockpit Content Platform
Cockpit Core - Content Platform
Cockpit is a flexible, API-first content management system (CMS) designed for developers who need a headless CMS to manage structured content for websites and applications. -
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OpenViking
Context database designed specifically for AI Agents
...The project is implemented with performance in mind, often leveraging optimized data structures that balance fast reads and writes with minimal resource consumption. Developers can integrate OpenViking into modern AI stacks to unify context storage across services, enabling consistent session history, personalized responses, and richer search experiences. -
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eXist-db
eXist Native XML Database and Application Platform
eXist-db is an open-source, native XML database and application platform that provides a powerful environment for storing, querying, and managing XML documents. It is designed for complex data management needs, offering XQuery, XSLT, and RESTful web services for interacting with structured data. -
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TanStack DB
A reactive client store for building super fast apps
TanStack DB (beta) is a lightweight, embedded database-like library designed to manage structured data directly in client or server-side JavaScript environments, offering stateful data stores that work seamlessly with the TanStack ecosystem. Blazing‑fast query engine for sub‑millisecond live queries, joins & aggregates. Fine‑grained reactivity to minimize component re‑rendering. Robust transaction primitives for optimistic mutations with sync & lifecycle support. Normalized data model that... -
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Apache Druid
A high performance real-time analytics database
...Druid streams data from message buses such as Kafka, and Amazon Kinesis, and batch load files from data lakes such as HDFS, and Amazon S3. Druid supports most popular file formats for structured and semi-structured data. Druid has been benchmarked to greatly outperform legacy solutions. Druid combines novel storage ideas, indexing structures, and both exact and approximate queries to return most results in under a second. Druid unlocks new types of queries and workflows for clickstream, APM, supply chain, network telemetry, digital marketing, risk/fraud, and many other types of data. ... -
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lmdb-js
Simple, efficient, ultra-fast, scalable data store wrapper for LMDB
This is an ultra-fast NodeJS, Bun, and Deno interface to LMDB; probably the fastest and most efficient key-value/database interface that exists for storage and retrieval of structured JS data (objects, arrays, etc.) in a true persisted, scalable, ACID compliant database. It provides a simple interface for interacting with LMDB, as a key-value db, which makes it easy to fully leverage the power, crash-proof design, and efficiency of LMDB using intuitive JavaScript, and is designed to scale across multiple processes or threads. ... -
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ddia
Designing Data-Intensive Application
ddia is a Chinese translation and online reading project for “Designing Data-Intensive Applications.” It covers both the first edition and ongoing second-edition translation work. The repository organizes the book content into chapters about data systems, storage, encoding, replication, partitioning, transactions, distributed systems, consistency, and derived data. It is built for readers who want deep systems design material in Chinese with a structured web reading experience. The project also includes site assets, metadata, layouts, internationalization files, and build configuration for generating the online version. ... -
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Google Node.js Datastore
Node.js client for Google Cloud Datastore
Google’s Node.js Datastore client is a library for interacting with Google Cloud Datastore, a fully managed NoSQL database. It enables developers to store and query structured data in a scalable and serverless manner. The library provides an easy-to-use API for integrating Datastore into Node.js applications. -
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Apache HBase
Get random, realtime read/write access to your Big Data
...This project's goal is the hosting of very large tables, billions of rows X millions of columns, atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable. A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS. Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding options. Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX. ... -
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AceBase realtime database
A fast, low memory, transactional, index, query enabled NoSQL database
A fast, low memory, transactional, index & query enabled NoSQL database engine and server for node.js and browser with real-time data change notifications. Supports storing of JSON objects, arrays, numbers, strings, booleans, dates, begins, and binary (ArrayBuffer) data. Inspired by (and largely compatible with) the Firebase real-time database, with additional functionality and less data sharding/duplication. Capable of storing up to 2^48 (281 trillion) object nodes in a binary database file... -
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BaikalDB
BaikalDB, A Distributed HTAP Database
BaikalDB is a distributed enhanced structured database system. It supports sequential and randomized real-time read/write of structural data in a petabytes-scale. BaikalDB is compatible with MySQL protocol and it supports MySQL-style SQL dialect, by which users can migrate their data storage from MySQL to BaikalDB seamlessly. BaikalDB internally provides projections, filter operators (corresponding with SQL WHERE or HAVING clause), aggregation operators (corresponding with GROPY BY clause) and sort operators (corresponding with SQL ORDER BY), with which users can fulfill their complex and time-critical analytical and transactional requirement by writing SQL statements. ... -
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Skiplist-CPP
A tiny KV storage based on skiplist written in C++ language
Skiplist-CPP is a lightweight key-value storage engine implemented in C++ using a skip list as its core data structure. It showcases how a log-structured, ordered index can deliver fast inserts, lookups, and deletes while remaining simple to implement and reason about. The project supplies a compact codebase with a clear separation between the skip list implementation and the storage operations that use it. -
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sled
The champagne of beta embedded databases
...A crash-safe monotonic ID generator capable of generating 75-125 million unique ID's per second. Zstd compression (use the compression build feature, disabled by default). Cpu-scalable lock-free implementation. Flash-optimized log-structured storage. Uses modern b-tree techniques such as prefix encoding and suffix truncation for reducing the storage costs of long keys with shared prefixes. If keys are the same length and sequential then the system can avoid storing 99%+ of the key data in most cases, essentially acting like a learned index. sled performs prefix encoding on long keys with similar prefixes that are grouped together in a range, as well as suffix truncation to further reduce the indexing costs of long keys. -
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NoDB
NoDB isn't a database.. but it sort of looks like one
NoDB is a simple, lightweight, file-based database for Python applications that enables quick and easy data storage without requiring a separate database server. -
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BlobCity
A blazing fast ACID compliant NoSQL DataLake
BlobCity DB is an AI-optimized, NoSQL database designed for high-performance analytics and machine learning workloads. It combines structured and unstructured data storage, offering fast query execution and seamless integration with AI frameworks. It is built to handle large-scale datasets efficiently. -
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Microsoft Azure Cosmos JavaScript SDK
JavaScript & Node.js SDK library for SQL API of Azure Cosmos Database
Azure Cosmos JS is the official JavaScript SDK for interacting with Azure Cosmos DB, Microsoft's globally distributed, multi-model database service. It provides developers with an easy-to-use API to manage databases, collections, and documents using Node.js and browser-based applications. The SDK supports querying, transactions, and scalability for high-performance applications. -
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jsql-sx
jsql-sx is a javascript API for simple SQL-like local data handling
The jsql-sx javascript API implements a small, often used, subset of the SQL language aimed at handling structured data locally in a Web browser. It supports HTML5 persistence by storing all the data in the browser's local storage (if the browser supports it) for later usage. This API was developed thinking about Web applications (desktop and mobile) which: - Handle considerable amounts of local data - Need data persistence - Prefer structured access to data - Work offline The API was written in vanilla javascript so no additional libraries are needed. ... -
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XWiki is the next generation enterprise wiki, a feature rich tool that is secure, easy to use and more organized. At the same time it's a light and powerful development platform that allows you to customize the wiki to your specific needs.
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Metakit is an efficient database library with a small footprint. It's a cross between flat-file, RDBMS, and OODBMS. Keywords: structured storage, transacted, load on-demand, portable, C++, Python, Tcl, instant schema versioning.
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