Search Results for "query" - Page 8
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Showing 619 open source projects for "query"
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1
Qvu Data Service
Qvu Data Service is an ad-hoc query, reporting and api data service
...Data query and report documents can be run automatically via the included scheduler and delivered via email attachments. -
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RedisGraph
A graph database as a Redis module
A high-performance graph database module for Redis that enables fast graph processing and analytics using a query engine based on Cypher. -
3
Jennifer
Crystal ORM using ActiveRecord pattern with flexible query DSL
ActiveRecord pattern implementation for Crystal with a powerful query DSL, validation, relationship definition, translation and migration mechanism. You need to choose one of the existing drivers for your DB: MySQL or Postgres; the sqlite3 adapter automatically installs the required driver for it. Jennifer allows you to maintain everything for your models - from DB migrations and field mapping to callbacks and building queries. -
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Isar Database
Extremely fast, easy to use, and fully async NoSQL database
...The unique query syntax is very powerful and statically typed. No need to worry about runtime errors. Made for Flutter. Easy to use, no config, no boilerplate. The sky is the limit. Composite & multi-entry indexes, query modifiers, JSON support etc. Asynchronous, parallel query operations & multi-isolate support by default. Open source. Everything is open source and free forever! -
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FeatureBase
A crazy fast analytical database, built on bitmaps
...A distributed, highly-scalable database built to handle extreme data volumes. FeatureBase is SOC 2 Type II compliant, and includes features like table-level access control, and query and admin auditing. Built-in SQL support plus our own native query language, PQL. Automatic decentralized sharding, and more. -
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Sqlite Index Blaster
Create huge Sqlite indexes at breakneck speeds
SQLite Blaster is an advanced SQLite extension that enhances database performance by enabling multi-threading, data compression, and memory optimizations. It is designed for applications that require fast local storage with improved query efficiency. -
7
GraphQLmap
GraphQLmap is a scripting engine to interact with endpoints
GraphQLmap is a Python-based scripting engine designed to interact with GraphQL endpoints for penetration testing purposes. It can connect to a target GraphQL endpoint, dump the schema (if introspection is enabled), query it interactively, and fuzz fields for NoSQL/SQL injection vectors, thereby revealing hidden attack surfaces. GraphQL endpoints represent a relatively newer attack vector compared to REST, and GraphQLmap helps bridge this gap by providing tooling tailored to the GraphQL paradigm. Because many modern applications adopt GraphQL for flexibility, this tool is useful when scanning and attacking API back ends where typical REST-based tools fall short. ... -
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DenoDB
MySQL, SQLite, MariaDB, PostgreSQL and MongoDB ORM for Deno
...Create models, extending Model. table and fields are both required static attributes. Link your models, to add them to your database instance. Optional, create tables in your database, by using sync. Query your models! Using Mongo means adapting your models to its standards, one being the use of _id for identifying records. The only change on your side is to add an _id field to your models. Models represent tables in your database. Each model should link to one of your database's tables. Every field should also match the name from your database. ... -
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Aestel
Applications for data management
...DataLoader and AEREA, respectively. The data loader application applies user-defined instructions to validate, process and load data. The reporting application provides a query builder and spreadsheet template designer. Both applications work with any relational data model. (Postgres and Oracle have been tested). The two applications have been initially developed for small molecule drug discovery research. However, they can be extended for use in other data domains. -
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10
VAERity
Uncovering truth in data
...It aims to eventually expand in scope to allow fast querying of arbitrary large datasets. It utilizes vaex and pandas as required to provide a balance of speed and query flexibility. -
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EJDB
Embeddable JSON Database engine C library
...All documents in collection are sorted by their primary key in descending order. So if you use auto generated keys (ejdb_put_new) you may be sure what documents fetched as result of full scan query will be ordered according to the time of insertion in descendant order, unless you don't use query sorting, indexes or inverse keyword. -
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SQL Trace Interlace
Reads SSMS results and places the corresponding query by its results.
Make finding relevant queries from SQL Profiler easier. When working with SQL Profiler, you may be looking for which query was responsible for a given result/keyword. Profiler does not include query results, and SSMS does not make matching a query to its results simple if there is a large number of queries to review. This tool takes the SSMS query results, and places the corresponding query next to its results in a new text file. This allows for searching for query results/keywords, and having an immediate reference to which query gave that result. -
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SqlServer Clr Functions
Some functions to improve SqlServer
so, sometimes you need to write some "shit" sp because there are not the appropriate utility. here some CLR functions that i use to work better and in easy and performance way. for any help or questions, please contact me by Sourceforge! -
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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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15
SnappyData
Memory optimized analytics database, based on Apache Spark
...SnappyData delivers high throughput, low latency, and high concurrency for a unified analytics workload. By fusing an in-memory hybrid database inside Apache Spark, it provides analytic query processing, mutability/transactions, access to virtually all big data sources and stream processing all in one unified cluster. One common use case for SnappyData is to provide analytics at interactive speeds over large volumes of data with minimal or no pre-processing of the dataset. For instance, there is no need to often pre-aggregate/reduce or generate cubes over your large data sets for ad-hoc visual analytics. ... -
16
MarketStore
DataFrame server for financial timeseries data
...The batteries are included with the basic install, you can start pulling crypto price data from GDAX and writing it to the db with a simple plugin configuration. MarketStore enables you to query DataFrame content over the network at as low latency as your local HDF5 files from disk. -
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The AdFactum Object Mapper is a relational object mapper for Microsoft .NET. It has special features like an internal localization functionality, support of data paging and a comprehensive query API. The mapper supports Oracle, SQL Server, Access and
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18
aiopg
aiopg is a library for accessing a PostgreSQL database
aiopg is an asynchronous PostgreSQL database driver for Python built on top of asyncio and psycopg2. It provides support for asynchronous query execution and connection pooling, enabling efficient, non-blocking database access in Python applications. aiopg is well-suited for web services and microservices that require concurrency without threads. -
19
FiloDB
Distributed Prometheus time series database
FiloDB is an open-source distributed, real-time, in-memory, massively scalable, multi-schema time series / event / operational database with Prometheus query support and some Spark support as well. The normal configuration for real-time ingestion is deployment as stand-alone processes in a cluster, ingesting directly from Apache Kafka. The processes form a cluster using peer-to-peer Akka Cluster technology. Designed to ingest many millions of entities, sharded across multiple processes, with distributed querying built in. ... -
20
Wheefun TriggerWarning Library
Selectively enable features in software which may be objectionable
The Wheefun TriggerWarning libray (aka WFTW) is a framework for determining which features of software should be selectively enabled due to a user's preferences, as well as to known legal caveats which may apply to a program. This library allows users to poll a given tag and to assess its suitability given the user's preferences. WFTW has two use cases in mind: * Providing content filtering or warning in implementing applications where certain content may be objectionable or otherwise... -
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EliasDB
EliasDB a graph-based database
...All stored data is indexed and can be quickly searched via a full text phrase search. EliasDB has a GraphQL interface which can be used to store and retrieve data. For more complex queries EliasDB has an own query language called EQL with an sql-like syntax. Includes a scripting interpreter to define alternative actions for database operations or writing backend logic. Written in Go from scratch. Only uses gorilla/websocket to support websockets for GraphQL subscriptions. The database can be embedded or used as a standalone application. -
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Mycat2
MySQL Proxy using Java NIO based on Sharding SQL, Calcite
Open source intermediate for the MySQL database network protocol written in Java language, open source of GPLv3 protocol. Custom Calcite distributed query engine, edit SQL to relationship algebra expression, rule optimization engine, and cost optimization engine, generate physical execution plan, support logic view. Any cross-currant cross-table join query, support cross-currant cross-table non-associated query, support cross-currant cross-table association query, support cross-currant cross-table Window grammar, support global secondary index, limited support storage process, support visualization configuration. ... -
23
CCG
CCG (Crud Class Generator) is a ORM tool for .Net
The Crud Class Generator tool was developed for .Net to generate the class, which is an object model of a database table. Thanks to these created classes, many CRUD operations can be performed without writing a SQL query. *CCG is easy to use, because; it is developer-friendly *CCG is practical, because; it allows to make many crud processes without writing SQL query *CCG is fast because; The object size is very small and allowing multiple simultaneous operations to be performed by going to the database only once. Documentation: http://ccg.snazzydocs.com/ YouTube channel: https://www.youtube.com/@ccg_4dal AI Help: https://notebooklm.google.com/notebook/8fc8a1fa-6544-4f40-bf33-ee980899e28e/preview You can send your questions and suggestions to ccg4dal@gmail.com Do not hesitate to ask me any questions you may have. ... -
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Walrus
Lightweight Python utilities for working with Redis
...Supports secondary indexes to allow filtering on equality, inequality, ranges, less/greater-than, and a basic full-text search index. The full-text search features a boolean search query parser, porter stemmer, stop-word filtering, and optional double-metaphone implementation. -
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tabix
Tabix.io UI
...Minimizes brackets and subqueries. Setting the autocompletion / enableLiveAutocompletion. Backlight brackets. The list of functions is loaded based on the capabilities of the server. Displays which query is running. Display the number of tables at the database. The icon of the table depends on its engine. List of fields in the table and inserting the field when clicking in the editor. DB selection via double click in the tree, pop-up window about selection. Search in the tree of objects, filtering the tree. Rebuilding the list of databases / tables after the query is executed. ...
