Open Source Windows Database Software - Page 7

This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data Creation, Meta Data Discovery, Anomaly Discovery, Data Cleansing, Reporting and Analytic. It also had Hadoop ( Big data ) support to move files to/from Hadoop Grid, Create, Load and Profile Hive Tables. This project is also known as "Aggregate Profiler" Resful API for this project is getting built as (Beta Version) https://sourceforge.net/projects/restful-api-for-osdq/ apache spark based data quality is getting built at https://sourceforge.net/projects/apache-spark-osdq/

jose is a graphical Chess tool. You can store chess games in a database. You can view and edit games (including variations and comments). You can play against a plugged-in chess engine and use it for analysis. Features 3D board view.

QuickRedis is a free forever Redis Desktop manager. It supports direct connection, sentinel, and cluster mode, supports multiple languages, supports hundreds of millions of keys, and has an amazing UI. Supports both Windows, Mac OS X and Linux platform.

JAMon API is a free, simple, high performance, thread safe, Java API that allows developers to easily monitor the performance and scalability of production applications. JAMon tracks hits, execution times (total, avg, min, max, std dev), and more. * JAMon Users Manual: For more on the JAMon, including installing, configuring, and using it, see http://jamonapi.sourceforge.net/. * Support: If you have any questions about usage please post a question on the forum at http://sourceforge.net/projects/jamonapi/forums/forum/334830

The purpose of GeoRaptor project is to extend Oracle SQL Developer with additional functionality for database administrators or developers working with Oracle Spatial data. Dear Users, A port to version 4.x of SQL Developer is being attempted. It is not simple due to the lack of development resources. Please keep using GeoRaptor with SQL Developer 3.x until the new version is available. Thanks. Simon Greener

AlaSQL.js - JavaScript SQL database for browser and Node.js. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, or Excel. We focus on speed by taking advantage of the dynamic nature of JavaScript when building up queries. Real-world solutions demand flexibility regarding where data comes from and where it is to be stored. We focus on flexibility by making sure you can import/export and query directly on data stored in Excel (both .xls and .xlsx), CSV, JSON, TAB, IndexedDB, LocalStorage, and SQLite files. The library adds the comfort of a full database engine to your JavaScript app. No, really - it's working towards a full database engine complying with most of the SQL-99 language, spiced up with additional syntax for NoSQL (schema-less) data and graph networks.

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 resource management frameworks as your Hadoop deployment, with no redundant infrastructure or data conversion/duplication. For Apache Hive users, Impala utilizes the same metadata and ODBC driver. Like Hive, Impala supports SQL, so you don't have to worry about reinventing the implementation wheel. With Impala, more users, whether using SQL queries or BI applications, can interact with more data through a single repository and metadata stored from source through analysis.

Generate a backend and frontend stack using Python, including interactive API documentation. Production ready Python web server using Uvicorn and Gunicorn. Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs. Minimize code duplication. Multiple features from each parameter declaration. Get production-ready code. With automatic interactive documentation. Many other features including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc. Celery worker that can import and use models and code from the rest of the backend selectively. REST backend tests based on Pytest, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time.

Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. Average latency measured in milliseconds on trillion vector datasets. Rich APIs designed for data science workflows. Consistent user experience across laptop, local cluster, and cloud. Embed real-time search and analytics into virtually any application. Milvus’ built-in replication and failover/failback features ensure data and applications can maintain business continuity in the event of a disruption. Component-level scalability makes it possible to scale up and down on demand.

TinyDB is a lightweight document oriented database optimized for your happiness :) It's written in pure Python and has no external dependencies. The target are small apps that would be blown away by a SQL-DB or an external database server. The current source code has 1800 lines of code (with about 40% documentation) and 1600 lines tests. Like MongoDB, you can store any document (represented as dict) in TinyDB. TinyDB is designed to be simple and fun to use by providing a simple and clean API. TinyDB neither needs an external server (as e.g. PyMongo) nor any dependencies from PyPI. TinyDB works on all modern versions of Python and PyPy. You can easily extend TinyDB by writing new storages or modify the behaviour of storages with Middlewares. TinyDB has been tested with Python 3.6 - 3.10 and PyPy3.

A large crowd-sourced dataset for developing natural language interfaces for relational databases. WikiSQL is the dataset released along with our work Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. Regarding tokenization and Stanza, when WikiSQL was written 3-years ago, it relied on Stanza, a CoreNLP python wrapper that has since been deprecated. If you'd still like to use the tokenizer, please use the docker image. We do not anticipate switching to the current Stanza as changes to the tokenizer would render the previous results not reproducible.

elasticsearch-head is a web front end for browsing and interacting with an Elastic Search cluster. elasticsearch-head is hosted and can be downloaded or forked at github. There are two ways of running and installing elasticsearch-head. Running as a plugin of ElasticSearch (this is the preferred method). And running as a standalone webapp. By default es-head will immediately attempt to connect to a cluster node at http://localhost:9200/. Enter a different node address in the connect box and click 'Connect' if required. A ClusterOverview, which shows the topology of your cluster and allows you to perform index and node level operations. A couple of search interfaces that allow you to query the cluster a retrieve results in raw json or tabular format. Several quick access tabs that show the status of the cluster. An input section that allows arbitrary call to the RESTful API to be made. This interface includes several options that can be combined to produce interesting results.

Open source simple business intelligence application and sql editor tool for Clickhouse. Auto-completion of fields, dictionaries and functions. Tips on fields and functions in Russian and English. Reformatting queries / autoformat. 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. Table with information about completed requests at the end of the list / Requests in the tab are logged for performance comparison.

It's a portable server manager that you can go anywhere, anytime, in any computer and run your webapp. Quick and easy to configure, a really useful application for your portable apps kit.

db4o is the world's leading open source object database for Java and .NET. Leverage fast native object persistence, ACID transactions, query-by-example, S.O.D.A object query API, automatic class schema evolution, small size (http://developer.db4o.com)

JabRef is a graphical application for managing bibliographical databases. JabRef is designed specifically for BibTeX bases, but can import and export many other bibliographic formats. JabRef runs on all platforms and requires Java 1.8 or newer.

Books and eBooks library organizer. Catalog, tag and search your books database with ease. Automatically fetches the book's details and cover image from the web with a smart ISBN guesser.

JookDB is a database development tool that allows you to simultaneously connect to MySQL, MariaDB, Oracle, PostgreSQL, SQLite, MongoDB,Redis, DM, OceanBase, TiDB and SQLServer databases from a single application. You can quickly and easily build, manage and maintain your databases.

ExtractData is a program which scans your files, looking for specific types of data to isolate and extract. Extract lists of email addresses, person names, addresses and other kinds of data types from multiple files in a single pass.

WordNet Database in various SQL format

ORBADA is a database, SQL, query client using JDBC drivers. It is a tool to administrate and manage database structure. It Is for Oracle, SQLite, Firebird, HSQLDB, DerbyDB, MySQL, PostgreSQL and other databases.

SchoolMag is a free and opensource msexcel vba standard software for management of school. Create a folder SchoolMaG1.2A in c drive of your pc and there extract the file SchoolMag1.2A.zip. First go to excel option Trust Centre, trust centre setting, macro setting and opt for enable macro, then go to ActiveX setting and opt for enable control without restriction and then click on ok.

Mole is an automatic SQL Injection exploitation tool. Only by providing a vulnerable URL and a valid string on the site it can detect the injection and exploit it, either by using the union technique or a boolean query based technique. The Mole uses a command based interface, allowing the user to indicate the action he wants to perform easily. The CLI also provides auto-completion on both commands and command arguments, making the user type as less as possible.

Ora2Pg is a free tool used to migrate an Oracle database to a PostgreSQL compatible schema. It connects your Oracle database, scan it automaticaly and extracts its structure or data, it then generates SQL scripts that you can load into PostgreSQL.

SQLiteManager is a multilingual web based tool to manage SQLite database. The programming language used is: PHP4, but work fine with PHP5. Work just as well on a platform Linux as on Windows or MAC.