Search Results for "squirrel-sql"
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Showing 37 open source projects for "squirrel-sql"
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Intelligent Retail ManagementQuant offers a wide range of solutions for retail. Within one integrated software system, it allows you to efficiently combine the management of retail space, shelf labels and marketing materials with task management, reporting and automatic replenishment.
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Dominate AI Search ResultsAthenaHQ is a cutting-edge platform for Generative Engine Optimization (GEO), designed to help brands optimize their visibility and performance across AI-driven search platforms like ChatGPT, Google AI, and more.
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SQL Studio
SQL Database Explorer [SQLite, libSQL, PostgreSQL, MySQL/MariaDB
SQL Studio is a database explorer supporting multiple databases like SQLite, libSQL, PostgreSQL, MySQL/MariaDB, DuckDB, and ClickHouse. -
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SQLpage
Fast SQL-only data application builder
SQLPage is a rapid application development tool that enables developers to build data-driven web applications using only SQL queries. By writing simple .sql files, users can create interactive web pages that display data as text, lists, grids, plots, and forms, streamlining the process of developing data applications without extensive frontend coding. -
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pg_graphql
GraphQL support for PostgreSQL
pg_graphql is a PostgreSQL extension that enables querying the database with GraphQL using a single a SQL function. The extension reflects a GraphQL schema from the existing SQL schema and exposes it through a SQL function, graphql. resolve(...). This enables any programming language that can connect to PostgreSQL to query the database via GraphQL with no additional servers, processes, or libraries. Each table receives an entry point in the top-level Query type that is a pageable collection with relationships defined by its foreign keys. ... -
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SeaQuery
A dynamic SQL query builder for MySQL, Postgres and SQLite
SeaQuery is a query builder to help you construct dynamic SQL queries in Rust. You can construct expressions, queries and schema as abstract syntax trees using an ergonomic API. We support MySQL, Postgres and SQLite behind a common interface that aligns their behavior where appropriate. -
Enterprise-Class Managed File Transfer.Diplomat MFT by Coviant Software is a secure, reliable managed file transfer solution designed to simplify and automate SFTP, FTPS, and HTTPS file transfers. Built for seamless integration, Diplomat MFT works across major cloud storage platforms, including AWS S3, Azure Blob, Google Cloud, Oracle Cloud, SharePoint, Dropbox, Box, and more.
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Supabase Wrappers
Postgres Foreign Data Wrapper development framework in Rust
Supabase Wrappers is a collection of PostgreSQL extensions (written in Rust) that allow Postgres to interact with external systems like APIs, files, and other databases. It uses Foreign Data Wrappers (FDWs) to treat external resources as if they were native SQL tables, enabling seamless integration with external services directly from SQL queries. -
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Rbatis
Rust High Performance compile-time ORM(RBSON based)
A highly Performant, Safe, Dynamic SQL(Compile-time) ORM framework written in Rust, inspired by Mybatis and MybatisPlus. Zero cost Dynamic SQL, implemented using (proc-macro,compile-time, Cow (Reduce unnecessary cloning)) techniques, don't need ONGL engine(mybatis) Free deserialization, Auto Deserialize to any struct(Option,Map,Vec...) High performance, Based on Future, with async_std/tokio, single threaded benchmark can easily achieve 200,000 QPS. logical deletes, pagination, py-like SQL and basic Mybatis functionalities. ... -
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QSV
Blazing-fast Data-Wrangling toolkit
qsv is a fast, command-line CSV data toolkit written in Rust that extends the capabilities of xsv. It’s designed to make working with CSV files at scale easy and efficient, offering over 40 powerful subcommands for tasks like querying, sampling, splitting, deduplicating, and more. qsv is ideal for data engineers, analysts, and developers who need high-performance CSV manipulation on the command line. -
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RisingWave
RisingWave: the next-generation streaming database in the cloud
...Everything you do in RisingWave is via Postgres-compatible SQL. Create materialized views for the data that need to be incrementally aggregated. Query for data in RisingWave, including persisted data and data you add or import to RisingWave. RisingWave makes it easy to manage streams and data. All you need to interact with RisingWave is Postgres-compatible SQL. No Java or Scala codes are needed. -
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ZomboDB
Making Postgres and Elasticsearch work together like it's 2023
ZomboDB is a PostgreSQL extension that integrates Elasticsearch directly into Postgres, allowing for powerful full-text search and analytics capabilities. It manages Elasticsearch indices transparently, ensuring transactional consistency and enabling complex queries through SQL. -
Dynamic Work and Complex Project Management Platform | QuickbaseOur no-code platform lets you easily create, connect, and customize enterprise applications that fix visibility and workflow gaps without replacing a single system.
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GlueSQL
GlueSQL is quite sticky. It attaches to anywhere
An embedded SQL database engine written in Rust, designed for lightweight, in-memory, and persistent storage use cases. -
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Cube
Universal semantic layer platform for AI, BI, spreadsheets
...It helps data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application. Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. Cube has a built-in relational caching engine to provide sub-second latency and high concurrency for API requests. -
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PgRx
Build Postgres Extensions with Rust
pgrx is a Rust framework for developing PostgreSQL extensions, making it easier to write safe, high-performance native extensions in Rust. It handles the boilerplate and unsafe FFI needed to interface with Postgres internals, allowing developers to focus on logic. With built-in support for SQL generation, testing, and deployment, pgrx streamlines the extension creation process while embracing Rust’s safety guarantees. -
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Spice.ai OSS
A self-hostable CDN for databases
...Spice makes it easy and fast to query data from one or more sources using SQL. You can co-locate a managed dataset with your application or machine learning model, and accelerate it with Arrow in-memory, SQLite/DuckDB, or with attached PostgreSQL for fast, high-concurrency, low-latency queries. Accelerated engines give you flexibility and control over query cost and performance. -
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Databend
Cloud-native open source data warehouse for analytics and AI queries
...This architecture enables cost-efficient storage and elastic scaling for workloads that involve large datasets and complex queries. Databend provides a unified engine capable of handling analytics, vector search, and full-text search within a single platform. Databend supports SQL-based workflows and enables real-time data ingestion, transformation, and analysis through streaming and task orchestration features. With its cloud-native design and distributed architecture, Databend can run both as a self-hosted system or within managed environments to power data analytics, AI workloads, and large-scale data. -
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Polars
Dataframes powered by a multithreaded, vectorized query engine
...It delivers blazing-fast, vectorized, and parallel data manipulation with both eager and lazy execution, making it an excellent tool for data processing in Python, Rust, Node.js, R, and SQL contexts. -
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Lantern Database
PostgreSQL vector database extension for building AI applications
Lantern is a real-time data transformation engine that enables data engineers to build, run, and monitor streaming data pipelines with SQL. It’s designed to process events in motion, offering low-latency stream transformations, aggregations, and enrichment in a declarative way. Lantern is especially suited for modern data infrastructure and analytics platforms. -
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Nushell
A new type of shell
NuShell (often shortened to “Nu”) is a modern, cross-platform shell written in Rust that treats all data as structured tables rather than plain text. It supports pipelines on rich typed data, has built-in commands for JSON/CSV/SQL/excel, and offers scripting, autocompletion, scoped variables, and strong error handling—bridging the gap between shell scripting and programming. -
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Diesel
A safe, extensible ORM and Query Builder for Rust
...We achieve this by having Diesel eliminate the possibility of incorrect database interactions at compile time. Diesel offers a high level query builder and lets you think about your problems in Rust, not SQL. Our focus on zero-cost abstractions allows Diesel to run your query and load your data even faster than C. Unlike Active Record and other ORMs, Diesel is designed to be abstracted over. Diesel enables you to write reusable code and think in terms of your problem domain and not SQL. -
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ReadySet
Readyset is a MySQL and Postgres wire-compatible caching layer
ReadySet is a SQL caching engine designed to improve query response times and scalability for PostgreSQL and MySQL databases. It acts as a transparent caching layer, automatically maintaining cached query results and serving them with sub-millisecond latency, without requiring changes to application code. -
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parseable
Parseable is a log analytics system written in Rust
Parseable is a log analytics platform, built for the modern, cloud native era. Parseable uses a index-free mechanism to organize and query data allowing low latency, and high throughput ingestion and query. -
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GritQL
GritQL is a query language for searching, linting, and modifying code
GritQL is a query language designed to facilitate human-AI collaboration by providing an intuitive interface for querying and retrieving structured data. It acts as a bridge between AI models and databases, enabling natural language interaction with structured data sources. -
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Arroyo
Distributed stream processing engine in Rust
Arroyo is a distributed stream processing engine written in Rust, designed to efficiently perform stateful computations on streams of data. Unlike traditional batch processing, streaming engines can operate on both bounded and unbounded sources, emitting results as soon as they are available. -
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OpenObserve
Elasticsearch/Splunk/Datadog alternative for (logs, metrics, traces)
OpenObserve is a cloud-native observability platform built specifically for logs, metrics, traces, and analytics designed to work at a petabyte scale. It is very simple and easy to operate as opposed to Elasticsearch which requires a couple of dozen knobs to understand and tune which you can get up and running in under 2 minutes. It is a drop-in replacement for Elasticsearch if you are just ingesting data using APIs and searching using Kibana (Kibana is not supported nor required with... -
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PostgresML
The GPU-powered AI application database
...Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. PostgresML abstracts the data management overhead from the ML/AI lifecycle by enabling users to run ML/LLM models directly on a Postgres database. -
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ROAPI
Create full-fledged APIs for slowly moving datasets without writing
...ROAPI automatically spins up read-only APIs and query frontends for slowly moving datasets without requiring you to write a single line of code. It builds on top of Apache Arrow and Datafusion. Query frontends to translate SQL, GraphQL and REST API queries into Datafusion plans. Datafusion for query plan execution. Data layer to load datasets from a variety of sources and formats with automatic schema inference. Response encoding layer to serialize intermediate Arrow record batch into various formats requested by the client. Its pluggable query core design makes it possible for users to efficiently perform join queries across a diverse set of data sources from simple CSV/Parquet files in Data warehouses to MySQL/Postgres, to SASS-like Google spreadsheets.
