Search Results for "power"
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Showing 72 open source projects for "power"
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Genji
Document-oriented, embedded SQL database
Genji is an embedded database written in Go that aims to simplify dealing with data in the modern world. It combines the power of SQL with the versatility of documents to provide a maximum of flexibility with no compromise. Run powerful queries on rich documents with an expressive SQL syntax. Create tables with strict schemas, partial schemas, or no schemas at all to control your data the way you want it. Fully serializable transactions, in-memory mode, memory usage control, and more. ... -
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Redash
Connect to any data source, easily visualize and share your data
Redash is an essential tool to help you make sense of your data. It allows everyone, regardless of level of technical know-how to harness the power of data. SQL users connect, query, visualize and share data easily and efficiently, allowing everyone in their organization to use the data. Redash combines the power and comfort of an SQL client with the collaborative benefits of a cloud-based service. It lets you create big, beautiful and easy to digest visualizations on dashboards for better decision-making. ... -
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Dragonfly
A modern replacement for Redis and Memcached
Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy in-memory data stores like Redis, making it easy to deliver the real-time experience your customers expect. ... -
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directus
Directus wraps any SQL database with a real-time GraphQL+REST API
With over 18 million downloads, Directus is the world's first Open Data Platform for instantly turning any SQL database into an API and beautiful no-code app. Power any project with a modern, open-source data platform. A modern data platform, designed for developers. Our modular codebase is 100% JavaScript, leveraging the power of Node.js and Vue.js 3 for blazing performance and easy extensibility. You remain in complete control of your new or existing database. No need to migrate to a proprietary data model, so there's no vendor lock-in. ... -
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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Pop Database
A Tasty Treat For All Your Database Needs
Pop is a data access toolkit for Go that simplifies database interactions. It combines the power of an ORM with the flexibility of SQL, providing developers with tools to manage database schemas, run migrations, and perform CRUD operations. -
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FoundationDB
Open source, distributed, transactional key-value store
FoundationDB gives you the power of ACID transactions in a distributed database. FoundationDB is multi-model, meaning you can store many types data in a single database. All data is safely stored, distributed, and replicated in the Key-Value Store component. FoundationDB is easy to install, grow, and manage. It has a distributed architecture that gracefully scales out, and handles faults while acting like a single ACID database. -
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cbl-dart
Couchbase Lite for Dart and Flutter
CBL-Dart is a Dart wrapper for Couchbase Lite, allowing Flutter and Dart applications to integrate with Couchbase’s NoSQL database. It enables offline data storage, synchronization, and efficient querying for mobile and embedded applications. -
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EMAGNET
Automated hacking tool to find leaked databases with 97.1% accuracy
Automated hacking tool that will find leaked databases with 97.1% accurate to grab mail + password. Before using Emagnet, please remember that with great power comes great responsibility. Pastebin patched the vulnerability I previously used in order to get recent uploads, so at the moment it is not possible to get recently uploaded files, you are now limited to all syntaxes exempt the default one (95% get's uploaded as 'text' and this is removed from all recent upload lists). Bruteforce support for Spotify accounts, Instagram accounts, ssh servers, Microsoft RDP clients and Gmail accounts. ... -
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Apache AGE
Graph database optimized for fast analysis
...AGE allows users to store and query graph-structured data alongside traditional relational data in a single database. Built for performance and scalability, it brings the power of graph queries to the robustness of PostgreSQL, making it suitable for use cases like social networks, recommendation systems, and fraud detection. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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SQLModel
SQL databases in Python, designed for simplicity, compatibility
SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy. -
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CrateDB
CrateDB is a distributed and scalable SQL database
CrateDB is a distributed SQL database designed for massive machine data and real-time analytics. It combines the scalability and performance of NoSQL with the power and simplicity of SQL, allowing for horizontal scaling, full-text search, and complex queries over large datasets. Built in Java and powered by Elasticsearch and Lucene, CrateDB is optimized for high-velocity data ingestion and dynamic queries. -
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Mathesar
An intuitive spreadsheet-like interface
...It offers an intuitive spreadsheet-like interface on top of PostgreSQL, allowing users to create, edit, and analyze structured data without writing SQL. Built with user experience in mind, Mathesar empowers teams to collaborate on data-driven workflows while retaining the power of a real relational database. -
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SQLAlchemy
The Database Toolkit for Python
SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. SQLAlchemy provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language. An industrial strength ORM, built from the core on the identity map, unit of work, and data mapper patterns. -
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Apache Druid
A high performance real-time analytics database
Druid is designed for workflows where fast ad-hoc analytics, instant data visibility, or supporting high concurrency is important. As such, Druid is often used to power UIs where an interactive, consistent user experience is desired. Druid streams data from message buses such as Kafka, and Amazon Kinesis, and batch load files from data lakes such as HDFS, and Amazon S3. Druid supports most popular file formats for structured and semi-structured data. Druid has been benchmarked to greatly outperform legacy solutions. ... -
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lmdb-js
Simple, efficient, ultra-fast, scalable data store wrapper for LMDB
This is an ultra-fast NodeJS, Bun, and Deno interface to LMDB; probably the fastest and most efficient key-value/database interface that exists for storage and retrieval of structured JS data (objects, arrays, etc.) in a true persisted, scalable, ACID compliant database. It provides a simple interface for interacting with LMDB, as a key-value db, which makes it easy to fully leverage the power, crash-proof design, and efficiency of LMDB using intuitive JavaScript, and is designed to scale across multiple processes or threads. Several key features make it idiomatic, highly performant, and easy to use LMDB efficiently. -
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tigerbeetle
The financial transactions database designed for mission critical safe
TigerBeetle is production-ready on Linux and seamlessly integrated with major programming languages. TigerBeetle is a financial transactions database designed for mission-critical safety and performance to power the next 30 years of OLTP. TigerBeetle redesigns the distributed database storage engine and consensus protocol for the OLTP workload. This solves the problem of OLTP write contention to unlock three orders of magnitude more performance than a general purpose (OLGP) database. The language of business transactions around the world is Debit/Credit. ... -
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dqlite
Embeddable, replicated and fault tolerant SQL engine
...It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint. Stable Golang client and a documented wire protocol for other languages. Runs on ARM, X86, POWER and IBM Z architectures. C-Raft is tuned to minimize transaction latency. C-Raft and dqlite are both written in C for maximum cross-platform portability. Published under the LGPLv3 license with a static linking exception for maximum compatibility. Includes common CLI pattern for database initialization and voting member joins and departures. -
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sqlit
A user friendly TUI for SQL databases
...It includes a connection manager so you can save connections and switch between them without constantly retyping CLI arguments or connection strings. For querying, it emphasizes productivity features like syntax highlighting, searchable query history, and vim-style keybindings so power users can move fast. For exploring data at scale, it can load and inspect very large result sets and provides filtering and fuzzy search to find rows and values efficiently. -
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Apache Phoenix
Mirror of Apache Phoenix
Apache Phoenix is a SQL skin over HBase delivered as a client-embedded JDBC driver targeting low latency queries over HBase data. Apache Phoenix enables OLTP and operational analytics in Hadoop for low latency applications by combining the best of both worlds. The power of standard SQL and JDBC APIs with full ACID transaction capabilities and the flexibility of late-bound, schema-on-read capabilities from the NoSQL world by leveraging HBase as its backing store. Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and Map Reduce. Become the trusted data platform for OLTP and operational analytics for Hadoop through well-defined, industry-standard APIs. ... -
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TDengine
Open-source time-series database with high-performance and scalability
...TDengine’s native distributed architecture powers out-of-the-box scalability and high availability. Nodes can be added through simple configuration to achieve greater data processing power. In addition, this feature is open source. TDengine uses SQL as the query language, thereby reducing learning and migration costs, while adding SQL extensions to handle time-series data better, and supporting convenient and flexible schemaless data ingestion. -
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Zvec
A lightweight, lightning-fast, in-process vector database
...Developed by Alibaba’s Tongyi Lab, it positions itself as the “SQLite of vector databases” by being easy to integrate, minimal in dependencies, and capable of handling high throughput with low latency on edge devices or small systems. Zvec excels at approximate nearest neighbor search and retrieval tasks that power features like semantic search, recommendation systems, and retrieval-augmented generation (RAG) setups. Its performance benchmarks show it achieving high queries-per-second and fast index build times compared to similar tools. Because it runs in-process, developers can embed it in native apps, microservices, or edge computing scenarios where traditional server-based vector databases might be overkill. -
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StarRocks
StarRocks is a next-gen sub-second MPP database for full analytics
...From canceled orders to updated items, your analytics applications can easily handle them with StarRocks. From streaming data to change data capture, StarRocks meets the data ingestion demands of real-time analytics. Scale storage and computing power horizontally and support tens of thousands of concurrent users. All of your BI tools work with StarRocks through standard SQL. StarRocks provides superior performance. It is also a unified OLAP covering most data analytics scenarios. -
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IoTDB
Apache IoTDB
Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there... -
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Milvus
Vector database for scalable similarity search and AI applications
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. -
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QUOR
Keeps track of your SQL Queries and Database Connections.
QUOR is designed to help SQL developers to manage their database queries and connections in an organized way. Besides Select Statements and DML/DDL you can use so called Smart Queries. These are Select Statements with some restrictions that in turn can offer more guidance and editable results. SQL statements can be used that are stored in the file system. A copy of those statements is transferred in the QUOR database and will be synchronized when the file is changed. Parameters for...
