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4 repositorios

Awesome GitHub RepositoriesQuery Management

Tools and strategies for monitoring, optimizing, and controlling the execution of long-running or resource-intensive database queries.

Distinguishing note: None available; no candidates provided.

Explore 4 awesome GitHub repositories matching data & databases · Query Management. Refine with filters or upvote what's useful.

Awesome Query Management GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • tooljet/tooljetAvatar de ToolJet

    ToolJet/ToolJet

    38,027Ver en GitHub↗

    ToolJet is a low-code development platform designed for building and deploying internal business applications. It provides a visual interface where users can drag and drop components to design layouts, connect to various data sources, and execute custom logic. The platform is built on a containerized architecture, ensuring that applications remain portable and consistent across different cloud and server environments. The platform distinguishes itself through integrated artificial intelligence capabilities that assist in the generation of user interfaces, database schemas, and data queries fr

    Organizes database queries into folders to simplify navigation and management of large query sets.

    JavaScriptai-app-builderdockerhacktoberfest
    Ver en GitHub↗38,027
  • prestodb/prestoAvatar de prestodb

    prestodb/presto

    16,711Ver en GitHub↗

    Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data sources. It functions as a data federation platform and massively parallel processing engine, allowing users to execute interactive queries against diverse storage systems without requiring data migration. By mapping remote metadata and structures to a unified relational namespace, it enables seamless cross-platform analysis through a standard SQL interface. The engine distinguishes itself through a pluggable connector architecture and a shared-nothing distributed processing

    Sets timeouts, queue limits, and execution priorities to manage how long queries wait and run before termination.

    Javabig-datadatahadoop
    Ver en GitHub↗16,711
  • neo4j/neo4jAvatar de neo4j

    neo4j/neo4j

    15,928Ver en GitHub↗

    Neo4j is a native graph database management system designed to store and query highly connected data using a property-graph model. It provides an ACID-compliant transaction engine that ensures data integrity, supported by a distributed cluster architecture that maintains causal consistency across nodes. Users interact with the system through a declarative query language, which allows for complex pattern matching and path traversal without requiring manual traversal logic. The platform distinguishes itself through its hybrid approach to data retrieval, combining traditional graph-based queries

    Optimizes and debugs graph queries while providing automated migration paths for legacy syntax.

    Javacypherdatabasegraph
    Ver en GitHub↗15,928
  • materializeinc/materializeAvatar de MaterializeInc

    MaterializeInc/materialize

    6,314Ver en GitHub↗

    Materialize is a streaming SQL database that continuously ingests live data from sources such as Kafka, Redpanda, PostgreSQL, and MySQL, and incrementally maintains materialized views. It provides a PostgreSQL-compatible query engine that accepts standard SQL over the PostgreSQL wire protocol, enabling any existing SQL client or BI tool to query real-time data. The system also includes a Model Context Protocol (MCP) server that exposes live materialized view data to AI agents, providing fresh context without polling. Materialize distinguishes itself through its ability to offer configurable c

    Reports whether each part of a query is ready, refreshing, or pending so users can see how close results are.

    Rust
    Ver en GitHub↗6,314
  1. Home
  2. Data & Databases
  3. Query Management

Explorar subetiquetas

  • Graph Query Migration ToolsUtilities for optimizing and debugging graph queries, including automated migration paths for legacy syntax. **Distinct from Query Management:** Distinct from Query Management: specifically focuses on graph query migration and optimization.
  • Query Lifecycle Policies1 sub-etiquetaConfiguration settings for managing query timeouts, queue limits, and execution priorities. **Distinct from Query Management:** Distinct from query management: focuses on lifecycle configuration parameters rather than general monitoring.