Search Results for "time" - Page 4
Sort By:
Showing 378 open source projects for "time"
View related business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
Apache Druid
A high performance real-time analytics database
...Druid unlocks new types of queries and workflows for clickstream, APM, supply chain, network telemetry, digital marketing, risk/fraud, and many other types of data. Druid is purpose built for rapid, ad-hoc queries on both real-time and historical data. -
2
AriaNg
A modern web frontend making aria2 easier to use
...You can just put AriaNg in your web server and open it in your browser. AriaNg uses responsive layout, and supports any desktop or mobile devices. Sort tasks (by name, size, progress, remaining time, download speed, etc.), files, bittorrent peers. Search tasks, and retry tasks. Adjust task order by dragging. More information of tasks (health percentage, client information of bt peers, etc.). Filter files by specified file types (videos, audios, pictures, documents, applications, archives, etc.) or file extensions. Tree view for multi-directory task. ... -
3
pg_mooncake
Real-time analytics on Postgres tables
pg_mooncake is a PostgreSQL extension that brings observability and performance insights to your database by exposing low-level metrics and analytics. It provides developers with enhanced visibility into query execution, memory usage, and system behavior. Ideal for fine-tuning Postgres performance, pg_mooncake is designed for those who need actionable insights without external tools. -
4
ObjectBox Java Database
Java and Android Database - fast and lightweight without any ORM
...ObjectBox’ out-of-the-box synchronization makes data available when needed where needed, eliminating data islands and improving data flow. Develop applications that work on- and offline, independently from a constant Internet connection, providing an “always-on”-feeling. Accelerate time-to-market with ObjectBox’ easy and super fast native language APIs, that bring the fun back to coding. ObjectBox reduces mobile network and cloud costs more than 40% by persisting data locally (on the edge), and syncing with low overhead and high efficiently. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
5
Vuefire
Firebase bindings for Vue.js & Vuex
Firebase provides two solutions to handle real-time databases: Realtime Database and Cloud Store (which is also a realtime database). In order to keep all clients data in-sync with its cloud database, their js SDK provides the tools to do so. However, it quickly becomes bothersome to bind multiple documents or collections to your application, keep them synchronized as well as handling references to other documents or collections, which can contain references themselves and must also be kept up to date. ... -
6
Vespa
The open big data serving engine
Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do. ... -
7
pgai
A suite of tools to develop RAG, semantic search, and other AI apps
pgai is a suite of PostgreSQL extensions developed by Timescale to empower developers in building AI applications directly within their databases. It integrates tools for vector storage, advanced indexing, and AI model interactions, facilitating the development of applications like semantic search and Retrieval-Augmented Generation (RAG) without leaving the SQL environment. -
8
DataScript
Immutable database and Datalog query engine for Clojure, ClojureScript
An immutable in-memory database and Datalog query engine in Clojure and ClojureScript. DataScript is meant to run inside the browser. It is cheap to create, quick to query and ephemeral. You create a database on page load, put some data in it, track changes, do queries and forget about it when the user closes the page. DataScript databases are immutable and based on persistent data structures. In fact, they’re more like data structures than databases (think Hashmap). Unlike querying a real... -
9
Dragonfly
A modern replacement for Redis and Memcached
...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. Scaling Redis workloads is expensive due to their inefficient, single-threaded model. Dragonfly is far more compute and memory efficient, resulting in up to 80% lower infrastructure costs. Dragonfly scales vertically first, only requiring clustering at an extremely high scale. This results in a far simpler operational model and a more reliable system. -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
10
pglogical
Logical Replication extension for PostgreSQL
...Unlike physical replication, it enables fine-grained control of which tables or changes to replicate. It’s well-suited for multi-master setups, version upgrades, and real-time data distribution across environments. -
11
Ebean
Ebean ORM
...Get 100% test coverage on all the features of the database we use. We can build queries using type safe query beans. IDE auto-complete when writing queries, compile time checking and it's FUN. Optimize queries to only fetch what we need (partial objects). Automatically avoid N+1 via a smart load context. -
12
MatrixOne
Hyperconverged cloud-edge native database
MatrixOne is a future-oriented hyperconverged cloud & edge native DBMS that supports transactional, analytical, and streaming workload with a simplified and distributed database engine, across multiple data centers, clouds, edges and other heterogeneous infrastructures. A monolithic database engine is designed to support hybrid workloads: transactional, analytical, streaming, time-series, machine learning, etc. MatrixOne supports seamless workload migration and bursting among different locations and infrastructures. MatrixOne provides industry-leading latency control with optimized consistency protocol. Accelerated queries supported by patented vectorized execution as well as optimal computation push-down strategies through factorization techniques. ... -
13
Tarantool
Get your data in RAM, get compute close to data, enjoy the performance
In OLTP scenarios, Tarantool can be used instead of relational databases. Such a solution will work many times faster. With Tarantool, you can replace the traditional bundle of database & cache and reduce operational costs. Tarantool is tolerant of write-heavy loads. It also allows keeping full-featured applications close to the data, thus reducing data access network latency to zero. The open-source Community Edition lets you develop applications and speed up a system in operation. It... -
14
db
Data access layer for PostgreSQL, CockroachDB, MySQL, SQLite, etc.
...The goal of upper/db is to give you tools for the most common operations with databases and stay out of the way in more advanced cases. If you feel like writing tons of simple SELECT * statements by hand is not the best use of your time, then upper/db is the library for you. We've designed the API with productivity and readability in mind. -
15
Piral
Framework for next generation web apps using micro frontends
...You can build fully dynamic and scalable applications in no time. Like what you see and want to take it to the next level? We have different support options and plans. Just contact us for an offer. -
16
Hasura GraphQL Engine
Blazing fast, instant realtime GraphQL APIs on your DB
...Run Hasura, locally or in the cloud, and connect it to your new or existing databases to instantly get a production-grade GraphQL API. Developers and architects love Hasura because it takes no time to get started, doesn’t need them to be a GraphQL expert upfront, and saves their teams months of recurring effort in building, shipping, and maintaining their APIs. Hasura’s built-in RLS style authorization engine allows you to conveniently specify authorization rules at a model level, and safely expose the GraphQL API to developers inside or outside your organization. ... -
17
Milvus
Vector database for scalable similarity search and AI applications
...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. -
18
Hermes JS Engine
A JavaScript engine optimized for running React Native
Hermes-powered apps launch faster, thanks to build-time precompilation of JavaScript into efficient bytecode. Hermes is small in APK size, lean on memory, and starts instantly. It won't weigh your app down. It's simple to get started with Hermes in React Native apps. Hermes is open source and implements JavaScript standards. You will now be in a directory with the output of building Hermes into CLI tools. -
19
BaikalDB
BaikalDB, A Distributed HTAP Database
BaikalDB is a distributed enhanced structured database system. It supports sequential and randomized real-time read/write of structural data in a petabytes-scale. BaikalDB is compatible with MySQL protocol and it supports MySQL-style SQL dialect, by which users can migrate their data storage from MySQL to BaikalDB seamlessly. BaikalDB internally provides projections, filter operators (corresponding with SQL WHERE or HAVING clause), aggregation operators (corresponding with GROPY BY clause) and sort operators (corresponding with SQL ORDER BY), with which users can fulfill their complex and time-critical analytical and transactional requirement by writing SQL statements. ... -
20
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. It speaks SQL over HTTP and uses the MySQL protocol (you can use your preferred MySQL client). ... -
21
PostgreSQL client and ORM for Golang
Golang ORM with focus on PostgreSQL features and performance
Basic types, integers, floats, string, bool, time.Time, net.IP, net.IPNet. All struct fields are nullable by default and zero values (empty string, 0, zero time, empty map or slice, nil ptr) are marshalled as SQL NULL. pg:",notnull" is used to add SQL NOT NULL constraint and pg:",use_zero" to allow Go zero values. sql.NullBool, sql.NullString, sql.NullInt64, sql.NullFloat64 and pg.NullTime. Structs, maps and arrays are marshalled as JSON by default. PostgreSQL multidimensional Arrays using array tag and Array wrapper. ... -
22
SuperDuperDB
Integrate, train and manage any AI models and APIs with your database
Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. SuperDuperDB enables vector search in your existing database. ... -
23
Jest Preview
Debug your Jest tests. Effortlessly
...Write tests in Jest and see the changes reflects in browser in a few milliseconds. You can use Jest Preview with any testing libraries and frontend frameworks. Don't waste time guessing what is your UI looks like. Let's Jest Preview visualize it in a browser for you! When writing tests using Jest, we usually debug by reading the HTML code. Sometimes, the HTML is too complicated to visualize the UI in our head. jest-preview previews your Jest tests right in a browser, then you can see your actual UI visually, which helps you write and debug Jest tests faster. jest-preview is initially designed to work with Jest and react-testing-library. ... -
24
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... -
25
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...
