Search Results for "time management"
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Showing 105 open source projects for "time management"
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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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.
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ClickHouse
A fast open-source OLAP database management system
ClickHouse® is a fast, open-source column-oriented database management system that can generate analytical data reports through SQL queries in real time. According to several independent benchmarks, it far exceeds other comparable column-oriented database management systems, working even up to 1000 times faster. It is able to process hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. Apart from its blazing speed, ClickHouse is highly... -
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Grafana
Leading open-source visualization and observability platform
..., template variables, interactive filtering, and cross-panel linking. Its Explore mode enables ad-hoc queries and side-by-side comparisons of time ranges, queries, and data sources. Grafana also includes built-in alerting, allowing you to define threshold-based rules and send notifications to external systems (e.g. Slack, PagerDuty, OpsGenie). Backed by a strong community and open governance, Grafana OSS is free to use, modify, and deploy under the AGPL-3.0 license. -
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PocketBase
Open Source realtime backend in 1 file
PocketBase is an open-source backend written in Go, packaged as a single binary. It features an embedded SQLite database, real-time subscriptions, built-in authentication and file management, a web-based admin dashboard, and a simple REST-style API—ideal for building self‑contained apps on a single server. -
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Apache HBase
Get random, realtime read/write access to your Big Data
Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables, billions of rows X millions of columns, atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable. A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache... -
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Milvus
Vector database for scalable similarity search and AI applications
... 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. -
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Supabase JS
An isomorphic Javascript client for Supabase
supabase-js is the official JavaScript client library for interacting with Supabase services. It enables developers to easily access Supabase’s Postgres database, authentication, storage, and real-time subscriptions through a unified client. Designed for frontend and full-stack apps, supabase-js integrates smoothly with modern frameworks and supports both browser and server environments. -
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pg_partman
Partition management extension for PostgreSQL
pg_partman is a PostgreSQL extension for managing time-based and serial-based table partitioning. It automates the creation, maintenance, and retention of partitions, making it easier to manage large datasets with better performance and query efficiency. Designed for both native and trigger-based partitioning, pg_partman is ideal for applications handling time-series or log data. -
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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... -
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GridDB
GridDB is a next-generation open source database
... with time-series data-oriented and pluggable data stores for efficient real-time processing and management of huge amounts of time-series data at high frequency. Various architectural innovations, such as in-memory orientation with "memory as the main unit and disk as the secondary unit" and event-driven design with minimal overhead, have been incorporated to achieve processing capabilities that can handle petabyte-scale applications. -
Secure User Management, Made Simple | FronteggFrontegg powers modern businesses with a user management platform that’s fast to deploy and built to scale. Embed SSO, multi-tenancy, and a customer-facing admin portal using robust SDKs and APIs – no complex setup required. Designed for the Product-Led Growth era, it simplifies setup, secures your users, and frees your team to innovate. From startups to enterprises, Frontegg delivers enterprise-grade tools at zero cost to start. Kick off today.
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Rbatis
Rust High Performance compile-time ORM(RBSON based)
A highly Performant, Safe, Dynamic SQL(Compile-time) ORM framework written in Rust, inspired by Mybatis and MybatisPlus. Zero cost Dynamic SQL, implemented using (proc-macro,compile-time, Cow (Reduce unnecessary cloning)) techniques, don't need ONGL engine(mybatis) Free deserialization, Auto Deserialize to any struct(Option,Map,Vec...) High performance, Based on Future, with async_std/tokio, single threaded benchmark can easily achieve 200,000 QPS. logical deletes, pagination, py-like SQL... -
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RavenDB
ACID Document Database
A NoSQL document database designed for high-performance, real-time applications with built-in distributed capabilities. -
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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. From canceled orders to updated items, your analytics... -
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KCloud‑Platform‑IoT
KCloud-Platform-IoT
KCloud-Platform-IoT is a comprehensive open-source IoT management platform built with Spring Cloud and Vue.js. It supports device registration, data collection, rule-based processing, and dashboard visualization. Designed for scalability and modularity, the platform is ideal for managing large IoT fleets in industrial or smart city environments. -
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TDengine
Open-source time-series database with high-performance and scalability
Enables efficient, real-time data ingestion, processing and monitoring of TB and even PB scale data per day, generated by billions of sensors and data collectors. TDengine can be widely applied to IoT, Industrial Internet, Connected Vehicles, DevOps, Energy , Finance and many other use-cases. TDengine’s innovative design and purpose-built storage engine outperforms other time-series databases for data ingestion, querying and data compression while significantly reducing storage and computing... -
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OrientDB
DBMS supporting graph, document, full-text and geospatial models
OrientDB is an Open Source Multi-Model NoSQL DBMS with the support of Native Graphs, Documents, Full-Text search, Reactivity, Geo-Spatial and Object Oriented concepts. It's written in Java and it's amazingly fast. No expensive run-time JOINs, connections are managed as persistent pointers between records. You can traverse thousands of records in no time. Supports schema-less, schema-full and schema-mixed modes. Has a strong security profiling system based on user, roles and predicate security... -
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LinDB
LinDB is a scalable, high performance, high availability database
LinDB is a scalable, high-performance, high-availability distributed time series database. A single server could easily support more than one million write TPS; With fundamental techniques like efficient compression storage and parallel computing, LinDB delivers highly optimized query performance. The multi-channel replication protocol supports any amount of nodes, and ensures the system's availability. Schema-free multi-dimensional data model with Metric, Tags, and Fields; The LinQL... -
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Postgres Meta
A RESTful API for managing your Postgres. Fetch tables, add roles
Postgres Meta is a RESTful API for managing PostgreSQL databases, developed by Supabase. It allows users to perform administrative tasks such as creating tables, views, functions, roles, and extensions programmatically through HTTP endpoints. Postgres Meta enables developers to integrate database management directly into dashboards, automation tools, or backend services without requiring SQL access or pgAdmin. -
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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... -
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data-diff
Efficiently diff rows across two different databases
We're excited to announce the launch of a new open-source product, data-diff that makes comparing datasets across databases fast at any scale. data-diff automates data quality checks for data replication and migration. In modern data platforms, data is constantly moving between systems, and at the modern data volume and complexity, systems go out of sync all the time. Until now, there has not been any tooling to ensure that when the data is correctly copied. Replicating data at scale, across... -
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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... -
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Tarantool
Get your data in RAM, get compute close to data, enjoy the performance
... synchronous replication, affords easy scalability, and includes tools to develop efficient applications. The Tarantool community helps with any practical questions regarding the Community Edition. Large enterprises have demanding requirements for information safety and security. Besides modules for integrating with the company's existing technological suite, Tarantool Enterprise Edition provides tools for administration, deployment, and security management. -
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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... -
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HStreamDB
HStreamDB is an open-source, cloud-native streaming database
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications. By subscribing to streams in HStreamDB, any update of the data stream will be pushed to your apps in real-time, and this promotes your apps to be more responsive. You can also replace message brokers with HStreamDB and everything you do with message brokers can be done better with HStreamDB. HStreamDB provides built-in support for event time-based stream... -
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MobilityDB
MobilityDB is a geospatial trajectory data management & analysis
MobilityDB is an extension for PostgreSQL and PostGIS that adds support for managing and querying moving object data, such as vehicles, vessels, or wildlife. It allows developers to store temporal and spatiotemporal data types and execute complex mobility analytics using SQL. It is particularly suited for GIS applications and location-based services. -
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HugeGraph
A graph database that supports more than 100+ billion data
HugeGraph is a convenient, efficient, and adaptable graph database compatible with the Apache TinkerPop3 framework and the Gremlin query language. HugeGraph supports fast import performance in the case of more than 10 billion Vertices and Edges Graph, millisecond-level OLTP query capability, and can be integrated into big data platforms like Hadoop or Spark for OLAP analysis. The main scenarios of HugeGraph include correlation search, fraud detection, and knowledge graph. Not only supports...