Search Results for "sstp-client"
Sort By:
Showing 310 open source projects for "sstp-client"
View related business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
-
1
Prisma Client Go
Prisma Client Go is an auto-generated and fully type-safe database
...Model your data in the Prisma schema in a human-readable format. Prisma Client is a query builder that composes queries the way you think and is auto-generated from the Prisma schema with types tailored to your app. Prisma Migrate automatically generates SQL database migrations, that are fully customizable, enabling you to make changes to the database without generating migration files. -
2
PostgreSQL client and ORM for Golang
Golang ORM with focus on PostgreSQL features and performance
Basic types, integers, floats, string, bool, time.Time, net.IP, net.IPNet. All struct fields are nullable by default and zero values (empty string, 0, zero time, empty map or slice, nil ptr) are marshalled as SQL NULL. pg:",notnull" is used to add SQL NOT NULL constraint and pg:",use_zero" to allow Go zero values. sql.NullBool, sql.NullString, sql.NullInt64, sql.NullFloat64 and pg.NullTime. Structs, maps and arrays are marshalled as JSON by default. PostgreSQL multidimensional Arrays using... -
3
Aerospike Node.js Client
Node.js client for the Aerospike database
Aerospike Node.js Client is the official Node.js driver for Aerospike, a high-performance NoSQL database optimized for real-time applications. It provides low-latency access to key-value stores and supports advanced data structures for AI, financial, and IoT applications. -
4
HeidiSQL
A lightweight client for managing MariaDB, MySQL, SQL Server, etc.
HeidiSQL is a lightweight, open-source client for managing relational databases. It provides a user-friendly interface for browsing and editing data, creating and modifying tables, and executing SQL queries. HeidiSQL supports various database systems, making it a versatile tool for developers and database administrators. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
5
SQLECTRON
A simple and lightweight SQL client desktop with cross database
A simple and lightweight SQL client desktop/terminal with cross database and platform support. In case you prefer terminal interfaces. You should try this one. A desktop application with a simple interface. -
6
ClickHouse Go
Golang driver for ClickHouse
Golang SQL database client for ClickHouse. There are two version of this client, v1 and v2, available as separate branches. v1 is now in a state of maintenance, we will only accept PRs for bug and security fixes. Uses ClickHouse native format for optimal performance. Utilizes low level ch-go client for encoding/decoding and compression (versions >= 2.3.0). -
7
DBX
15MB, lightweight, cross-platform database client
DBX is a lightweight, cross-platform database client designed to support many database systems in a compact application. It works with relational, document, analytical, cache, search, and cloud-oriented databases, making it useful for developers who move across different data stacks. The project emphasizes a small footprint, avoiding the heavy Chromium bundling common in many desktop database tools. -
8
Node Redis
A high performance Node.js Redis client
This library is a 1 to 1 mapping of the Redis commands. Each Redis command is exposed as a function on the client object. All functions take either an args Array plus optional callback Function or a variable number of individual arguments followed by an optional callback. Node Redis currently doesn't natively support promises (this is coming in v4), however you can wrap the methods you want to use with promises using the built-in Node.js util.promisify method on Node.js >= v8. ... -
9
ioredis
A performance-focused Redis client for Node.js
ioredis is a robust, full-featured Redis client that is used in the world's biggest online commerce company Alibaba and many other awesome companies. Full-featured. It supports Cluster, Sentinel, Streams, Pipelining and of course Lua scripting & Pub/Sub (with the support of binary messages). High performance. Delightful API. It works with Node callbacks and Native promises. Transformation of command arguments and replies. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
-
10
Postgres.js
The Fastest full featured PostgreSQL client for Node.js
Postgres.js is a fast and full-featured PostgreSQL client for Node.js, Deno, Bun, and Cloudflare Workers. It offers a modern, promise-based API with support for tagged template literals, providing a safe and efficient way to interact with PostgreSQL databases. Postgres.js is known for its performance and minimal dependencies, making it a popular choice for developers. -
11
node-mssql
Microsoft SQL Server client for Node.js
node-mssql is a Microsoft SQL Server client for Node.js, providing a robust and feature-rich interface for connecting to and interacting with SQL Server databases. -
12
Jedis
A small redis java client
Jedis is a blazingly small and sane Redis java client. Jedis was conceived to be EASY to use. Jedis is fully compatible with redis 2.8.x, 3.x.x and above. The features supported are sorting, connection handling, commands operating on any kind of values, commands operating on string values, commands operating on hashes, commands operating on lists, commands operating on sets, commands operating on sorted sets, commands operating on streams, transactions, pipelining, publish/subscribe, persistence control commands, remote server control commands, connection pooling, sharding (MD5, MurmurHash), key-tags for sharding, sharding with pipelining, scripting with pipelining, and Redis Cluster. ... -
13
Supabase JS
An isomorphic Javascript client for Supabase
supabase-js is the official JavaScript client library for interacting with Supabase services. It enables developers to easily access Supabase’s Postgres database, authentication, storage, and real-time subscriptions through a unified client. Designed for frontend and full-stack apps, supabase-js integrates smoothly with modern frameworks and supports both browser and server environments. -
14
MongoDB
The MongoDB Database
MongoDB refers to the core MongoDB server, a modern, document-oriented NoSQL database offering flexible schema, rich queries, horizontal scalability, and integrated support for transactions and search. Packages are created dynamically by the buildscripts/packager.py script. This will generate RPM and Debian packages. Client drivers for most programming languages are available. You can install compass using the install_compass script packaged with MongoDB. MongoDB integrates with 100+ of your favorite technologies. -
15
Datalevin
A simple, fast and versatile Datalog database
...It supports full ACID transactions, schema-less EDN data storage, vector search with SIMD acceleration, and text-based querying. Usable as an embedded library or as a client/server database with RBAC access, it acts like SQLite or Datomic on a ledger of immutable datoms, plus modern features like vector and full-text search. -
16
Bdash
Simple SQL Client for lightweight data analysis
Simple SQL Client for lightweight data analysis. You can share the result with gist. Supports MySQL, PostgreSQL (Amazon Redshift), SQLite3, Google BigQuery, Treasure Data, Amazon Athena. You can download and install from Web Site or Releases. -
17
Antares
A modern, fast and productivity driven SQL client with a focus in UX
Antares is a modern, cross-platform SQL client built with Electron and Vue.js. It offers a clean and intuitive UI for managing databases like MySQL, PostgreSQL, SQLite, and more. Designed for developers and DBAs, Antares supports tabbed browsing, query editing with syntax highlighting, and visual schema exploration, making it a powerful alternative to heavier database tools. -
18
DuckDB
DuckDB is an in-process SQL OLAP Database Management System
...Joining & aggregate multiple large tables. Concurrent large changes, to multiple large tables, e.g. appending rows, adding/removing/updating columns. Large result set transfer to client. For development, DuckDB requires CMake, Python3 and a C++11 compliant compiler. Run make in the root directory to compile the sources. For development, use make debug to build a non-optimized debug version. -
19
Dolt
Dolt, it's Git for data
...If you want to host your own version of DoltHub, we have DoltLab. If you want us to run a Dolt server for you, we have Hosted Dolt. MySQL comes with a MySQL server called mysqld and a MySQL client called mysql. You're only interested in the client. After following the instructions from MySQL's documentation, make sure you have a copy of the mysql client on your path. -
20
Kangaroo
Kangaroo is an AI-powered SQL client and admin tool for popular dbs
Kangaroo is an AI-powered SQL client designed to enhance database interaction by integrating large language model capabilities into query workflows. It allows users to write, analyze, and optimize SQL queries using natural language assistance, making database operations more accessible and efficient. The tool is intended for developers, analysts, and data professionals who want to simplify complex query generation and debugging processes. -
21
Predis
A flexible and feature-complete Redis/Valkey client for PHP
Predis is a flexible and feature-rich PHP client library for Redis. It offers a simple interface to interact with Redis servers and supports a wide variety of Redis commands. Predis is known for its ease of use, performance, and its ability to handle Redis clusters with minimal configuration. It can be used with any PHP-based application that requires caching or data storage in Redis. -
22
Garnet
Garnet is a remote cache-store from Microsoft Research
...It delivers high throughput and low‑latency performance, supports scalability via clustering (sharding, replication, key migration, checkpointing, failover, transactions), and seamlessly integrates with existing Redis clients. Garnet offers much better throughput and scalability with many client connections and small batches, relative to comparable open-source cache-stores, leading to cost savings for large apps and services. Garnet demonstrates extremely low client latencies (often less than 300 microseconds at the 99.9th percentile) using commodity cloud (Azure) VMs with Accelerated Networking enabled, which is critical to real-world scenarios. -
23
Cloud Firestore
Node.js client for Google Cloud Firestore: a NoSQL document database
The official Firestore client for Node.js, enabling seamless interaction with Google Cloud Firestore, a NoSQL document database optimized for real-time applications. -
24
Apache HBase
Get random, realtime read/write access to your Big Data
Use Apache HBase™ when you need 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... -
25
PgBouncer
lightweight connection pooler for PostgreSQL
PgBouncer is a lightweight, high-performance connection pooler for PostgreSQL. It reduces the overhead of frequent connection handling by maintaining a pool of open connections, which are reused by client applications. PgBouncer supports various pooling modes, transaction-level handling, and authentication mechanisms, making it essential for scaling Postgres-backed applications.
