#go #cache #database #databases #disk #distributed_database #distributed_systems #golang #high_performance #key_value #kvstore #leveldb #lsm #nosql #persistence #raft #redis #storage

https://github.com/gitsrc/IceFireDB

#cplusplus #c_plus_plus #database #mongodb #nosql

https://github.com/mongodb/mongo

#other #architecture #caching #cqrs #csharp #ddd #design_patterns #docker #dotnet #dotnet_core #efcore #kubernetes #messaging #microservices #nosql #security #testing

https://github.com/meysamhadeli/awesome-dotnet-tips

#rust #backend_as_a_service #cloud_database #collaborative #database #database_as_a_service #developer_tools #devtools #distributed #distributed_database #document_database #graph_database #hacktoberfest #iot_database #nosql #realtime_database #serverless #sql #surreal #surrealdb #web

https://github.com/surrealdb/surrealdb

#shell #coherence_ce #docker #docker_images #dockerfile #dockerfiles #graalvm #nosql #oci #oracle #oracle_commercial #oracle_database #oracle_instantclient #oracle_linux #oracle_products #oraclelinux

https://github.com/oracle/docker-images

#java #big_data #database #iot #nosql #timeseries #tsdb

https://github.com/apache/iotdb

#csharp #asp_net #asp_net_core_web_api #asp_net_mvc #aspnet_core #aspnetcore #csharp_code #design_patterns #memcached #microsoft #microsoft_sql #mongodb #mysql #nosql #oracle #postgresql #practice #redis #sql #web

This is a complete guide to help developers learn, work, and interview about C#, .NET, and .NET Core. Here's a short summary and benefits for users:

### Main content
- Learning resources: Created an open-source tech community for .NET developers. Offers tech sharing, advice, project framework recommendations, and job info.
- Interview guide: Provides various practical development tutorials, like MongoDB, SQLite, Blazor, etc.
- Coding tips and algorithms: Covers relational (SQL) and non-relational (NoSQL) databases, system design, and computer networks.
- Container tech and DevOps: Offers Git tutorials and various resume templates.

### Benefits for users
- Complete learning resources: Created a tech community to help developers share and work together.
- Interview prep: Helps developers get hands-on experience through various practical tutorials.
- Skill improvement: Covers many tech areas including coding tips, databases, system design, etc. Helps developers improve their overall skills.

In short, this guide is a very complete and valuable resource. It can meet the various needs of .NET developers and help them advance in their careers.

https://github.com/YSGStudyHards/DotNetGuide

#java #database #db2 #dbeaver #erd #gui #java #mysql #nosql #oracle #postgresql #redshift #sql #sqlite #sqlserver #tycho

DBeaver is a free, multi-platform tool for managing databases. It supports almost any database with a JDBC driver and even more databases like MongoDB and Cassandra in its commercial versions. It offers many features such as SQL editors, data import/export, and ERD tools. DBeaver is built on the Eclipse platform and uses plugins for additional functionality. You can download it from the official website or GitHub, and it includes Open JDK 17 for easy setup. Using DBeaver helps you manage your databases efficiently across various platforms, making it a valuable tool for developers, SQL programmers, and database administrators.

https://github.com/dbeaver/dbeaver

#cplusplus #c_plus_plus #cassandra #cpp #database #nosql #scylla #seastar

Scylla is a powerful database that works like Apache Cassandra and Amazon DynamoDB but is much faster and uses less hardware. It helps by increasing data processing speed and reducing costs. To use Scylla, you can easily build it with a pre-configured toolchain that doesn't require changing your machine settings. You can also find detailed guides, training courses, and community support to help you get started and manage Scylla effectively. This makes it easier to handle big data efficiently.

https://github.com/scylladb/scylladb

#cplusplus #cypher #database #embeddable #embedded #graph #graph_database #graphdb #neo4j #nosql #olap #wasm

Kuzu is a fast and scalable embedded graph database. It helps users handle complex data queries on large databases efficiently. Kuzu offers features like a flexible data model, fast join algorithms, and multi-core processing, making it ideal for analytical tasks. It integrates easily into applications without needing a separate server, reducing latency and complexity. This makes it beneficial for users who need to analyze large amounts of graph data quickly and effectively.

https://github.com/kuzudb/kuzu

#cplusplus #cache #cpp #database #fibers #in_memory #in_memory_database #key_value #keydb #memcached #message_broker #multi_threading #nosql #redis #valkey #vector_search

Dragonfly is a modern in-memory data store compatible with Redis and Memcached, offering up to 25 times higher throughput and better cache efficiency while using up to 80% fewer resources. It scales well with larger servers, supports many Redis commands, and features a unique, memory-efficient cache and fast snapshotting. Dragonfly provides low latency, high performance, and is easy to configure with familiar Redis options. Its design ensures atomic operations and efficient resource use, making it ideal for fast, cost-effective cloud applications needing real-time data access and high scalability. This means you get faster, more efficient caching and data handling with minimal changes to your existing setup[5][2][4].

https://github.com/dragonflydb/dragonfly

#cplusplus #compaction #database #distributed_database #kvstore #nosql #rocksdb

ToplingDB is a faster and more advanced key-value database built on RocksDB, designed for better performance and flexibility. It supports easy configuration through JSON/YAML, has an embedded web server to monitor and change settings without restarting, and improves speed with features like faster transaction locks and concurrent IO. It also offers plugins for enhanced functions and cloud-native services like MySQL and Redis on ToplingDB. This means you get a powerful, efficient database that is easier to manage and scales well for large or distributed systems, saving you time and improving your application's speed and reliability.

https://github.com/topling/toplingdb