Search Results for "sql query"
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Showing 58 open source projects for "sql query"
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1
SQLiteStudio
A free, open source, multi-platform SQLite database manager
...You can execute SQL statements that refer to multiple databases within a single query, thanks to a transparent database attaching mechanism built into the SQL Editor of SQLiteStudio. You can implement your own SQL functions (scalar & aggregate) using JavaScript, Python, or Tcl. There is a repository of ready-to-use scripts on the wiki page. -
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ClickHouse
A fast open-source OLAP database management system
...Downtime of a single node or even the whole datacenter won't affect the system's availability. ClickHouse also has exceptional hardware efficiency and a host of other features, including a feature-rich SQL database, vectorized query execution, real-time query processing and data ingestion, and more. -
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DB Browser for SQLite
The DB Browser for SQLite
DB Browser for SQLite (DB4S) is a high quality, visual, open source tool to create, design, and edit database files compatible with SQLite. DB4S is for users and developers who want to create, search, and edit databases. DB4S uses a familiar spreadsheet-like interface, and complicated SQL commands do not have to be learned. This program is not a visual shell for the sqlite command line tool, and does not require familiarity with SQL commands. It is a tool to be used by both developers and end users, and must remain as simple to use as possible in order to achieve these goals. Import and export records as text, import and export tables from/to CSV files, import and export databases from/to SQL dump files, issue SQL queries and inspect the results, examine a log of all SQL commands issued by the application, plot simple graphs based on table or query data. -
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GoogleSQL
GoogleSQL (formerly ZetaSQL) - Analyzer Framework for SQL
GoogleSQL is a reusable SQL language framework designed to standardize how SQL is written and analyzed across different systems. Previously called ZetaSQL, it defines core elements such as syntax, data models, type systems, and query semantics. Rather than executing queries, GoogleSQL focuses on parsing and validating SQL statements. It ensures consistent behavior for tasks like name resolution, type validation, and automatic casting. -
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MyScaleDB
A @ClickHouse fork that supports high-performance vector search
...MyScaleDB enables developers to perform vector similarity searches using standard SQL syntax, eliminating the need to learn specialized vector database query languages. The database is optimized for high performance and scalability, allowing it to handle extremely large datasets and high query loads typical of production AI applications. -
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Osquery
SQL operating system instrumentation and monitoring framework
...The tools make low-level operating system analytics and monitoring both performant and intuitive. Osquery exposes an operating system as a high-performance relational database. This allows you to write SQL queries to explore operating system data. With osquery, SQL tables represent abstract concepts such as running processes, loaded kernel modules, open network connections, browser plugins, hardware events or file hashes.Osquery queries your devices like a database. Osquery uses basic SQL commands to leverage a relational data-model to describe a device. ... -
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HeavyDB
HeavyDB (formerly MapD/OmniSciDB)
HeavyDB is an open-source GPU-accelerated analytical database designed to perform extremely fast queries on large datasets. The system is built as a SQL-based relational columnar database engine that leverages modern hardware parallelism, including GPUs and multicore CPUs. Its architecture allows users to query datasets containing billions of rows in milliseconds without requiring traditional indexing, pre-aggregation, or sampling techniques. HeavyDB was originally developed as part of the OmniSci platform (formerly MapD) and is commonly used for large-scale analytics and geospatial data processing. ... -
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Apache Doris
MPP-based interactive SQL data warehousing for reporting and analysis
Apache Doris is a modern MPP analytical database product. It can provide sub-second queries and efficient real-time data analysis. With it's distributed architecture, up to 10PB level datasets will be well supported and easy to operate. Apache Doris can meet various data analysis demands, including history data reports, real-time data analysis, interactive data analysis, and exploratory data analysis. Make your data analysis easier! Support standard SQL language, compatible with MySQL... -
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OceanBase seekdb
The AI-Native Search Database
seekdb is an AI-native search database from OceanBase that unifies vector, full-text, relational, JSON, and GIS data into a single query engine. The system is designed to support hybrid search workloads and in-database AI workflows without requiring multiple specialized databases. It enables developers to perform semantic search, keyword search, and structured SQL queries within the same platform, simplifying modern AI application stacks. seekdb also embeds AI capabilities directly in the database layer, including embedding generation, reranking, and LLM inference for end-to-end RAG pipelines. ... -
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10
StarRocks
StarRocks is a next-gen sub-second MPP database for full analytics
StarRocks is the next generation of real-time SQL engines for enterprise analytics. Real-time analytics is notoriously difficult. Complex data pipelines and de-normalized tables have always been a necessary evil. Processing any updates or deletes once data arrives has not been possible- until now. StarRocks solves these challenges and makes real-time analytics easy. Get amazing query performance on Star or Snowflake Schemas directly. -
11
manticoresearch
Easy to use open source fast database for search
Manticore Search is an easy to use open source fast database for search. Modern MPP architecture and smart query parallelization capabilities allow to fully utilize all your CPU cores to lower response time as much as possible, when needed. Powerful and fast full-text searching which works fine for small and big datasets. Columnar storage support via the Manticore Columnar Library for bigger datasets (much bigger than can fit in RAM). SQL-first: Manticore's native syntax is SQL. ... -
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YugabyteDB
The high-performance distributed SQL database for global apps
Microservices need a cloud-native relational database that is resilient, scalable, and geo-distributed. YugabyteDB powers your modern applications. Get instantly productive with a Postgres compatible RDBMS. YugabyteDB reuses PostgreSQL’s query layer and supports all advanced features. Scale-out and in with zero impact. Proven in production to scale beyond 300K TPS, over 100TB of data, and thousands of concurrent connections. Achieve continuous availability during infrastructure failures and... -
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Apache Impala
Apache Impala
Impala provides low latency and high concurrency for BI/analytic queries on the Hadoop ecosystem, including Iceberg, open data formats, and most cloud storage options. Impala also scales linearly, even in multitenant environments. Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Ranger module, you can ensure that the right users and applications are authorized for the right data. Utilize the same file and data formats and metadata, security, and... -
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Open ODBC Querytool. Query tool that specializes in working on a 3.5x ODBC database driver. Totally RDBMS independent as ODBC should be. Knows about every ODBC option, function and comes with full documentation. Also visit: https://github.com/Edwig/ODBCQueryTool
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15
QUOR
Keeps track of your SQL Queries and Database Connections.
...A copy of those statements is transferred in the QUOR database and will be synchronized when the file is changed. Parameters for queries are supported. There are different modes for parameters. This may be useful for testing SQL statements originally embedded in source code. Besides queries also connection information is stored and it is also tracked which query was executed or can be executed with which database connection. For organization purposes queries and database connections can also be tagged manually. It is also possible to use the command line to execute and export queries. -
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GigaBASE is object-relational embedded database engine for C++ applications. It provides SQL-like query language, smart C++ interface (loading objects instead of tupples), transaction based on shadowing page algorithm (no separate log file and very fas
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sqlsmith
A random SQL query generator
SQLSmith is a fuzz testing tool for PostgreSQL that automatically generates random SQL queries to uncover bugs in the query planner and executor. It is widely used by PostgreSQL developers and database vendors to stress-test SQL features and engine behavior under edge-case conditions. SQLSmith helps improve database robustness by revealing unexpected failures. -
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SQLCheck
Automatically identify anti-patterns in SQL queries
sqlcheck automatically detects common SQL anti-patterns. Such anti-patterns often slow down queries. Addressing them will, therefore, help accelerate queries. Storing a list of IDs as a VARCHAR/TEXT column can cause performance and data integrity problems. Querying against such a column would require using pattern-matching expressions. It is awkward and costly to join a comma-separated list to matching rows. This will make it harder to validate IDs. Think about what is the greatest number of... -
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BlazingSQL
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python
BlazingSQL is a GPU-accelerated SQL engine built on top of the RAPIDS ecosystem. RAPIDS is based on the Apache Arrow columnar memory format, and cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data. BlazingSQL is a SQL interface for cuDF, with various features to support large-scale data science workflows and enterprise datasets. -
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NoisePage
Self-Driving Database Management System
NoisePage is a relational database management system (DBMS) designed from the ground up for autonomous deployment. It uses integrated machine learning components to control its configuration, optimization, and tuning. The system will support automated physical database design (e.g., indexes, materialized views, sharding), knob configuration tuning, SQL tuning, and hardware capacity/scaling. Our research focuses on building the system components that support such self-driving operations with... -
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AQFS
Advanced Querable File System
A file system querable like a database. It supports automatic file versioning, an integrated trashcan, attachments, galleries. Developed using libFuse. -
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Raquel Database System
RAQUEL : "Relational Algebra Query, Update and Executive Language"
The project has 2 related sets of aims. As a language, RAQUEL is to : 1. be a pure relational algebra language (unlike SQL) as defined by Date & Darwen's "The Third Manifesto"; 2. incorporate a generalised extension of the ANSI-SPARC 3-layer DB architecture; 3. have the maximum ratio of functionality to conceptual complexity (as defined by Fred Brooks). As a DBMS, RAQUEL is to : 1. have an Open Architecture, enabling a variety of DBMS configurations of 'black box' code,... -
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Qt Creator database viewer plugin
Simple SQL database viewer for Qt Creator IDE
Features 1. Add several database connections with different drivers or connection options. 2. Browse tables list, table's data and schema. 3. Execute sql query. 4. Copy table's or query's contents to clipboard. Acknowledgements Plugin based on Timo Bingmann's <tb@idlebox.net> QtSqlView application (http://idlebox.net/2006/qtsqlview/) Source code: https://github.com/OneMoreGres/qtc-dbviewer IMPORTANT: plugin's version must match Qt Creator's version (difference in last digit is acceptable) Then plugin must be enabled in Help->Modules menu. -
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SQL-optimizer
provides efficient SQL query plan based on the statistics.
This is the stand alone SQL query optimazer taken from PostgreSQL database. https://www.postgresql.org/ -
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AvanceDB
An in-memory database based on the CouchDB REST API
AvanceDB is a high-performance, in-memory database designed to accelerate SQL-based applications. It uses advanced caching techniques to reduce database latency and improve query execution speed, making it ideal for real-time analytics and transactional workloads.
