Search Results for "time"
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Showing 110 open source projects for "time"
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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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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.
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Chat2DB
AI-driven database tool and SQL client
...Developers can write complex SQL queries quickly and accurately with the help of the AI SQL editor, saving time and improving development efficiency. Just enter the names of the tables and columns, and we will automatically configure the type, password, and comment, saving you 90% of the time. Imports and exports data in multiple formats (CSV, XLSX, XLS, SQL) to facilitate exchange, backup, and migration. Transfers data between different databases or through cloud services, as a backup and recovery solution that guarantees the minimum loss of data and downtime during migrations. -
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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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Canal
MySQL binlog
Canal is an open-source project developed by Alibaba that simulates MySQL slave functionality to parse MySQL binlog files. It enables real-time data synchronization and change data capture (CDC) between MySQL and other systems such as Elasticsearch, Kafka, or HBase. Canal is widely used for data integration, replication, and monitoring across distributed systems, offering high performance and low-latency log parsing. -
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Flink CDC
Flink CDC is a streaming data integration tool
Apache Flink CDC is a distributed data integration tool that captures data changes in real-time from various databases. It leverages Change Data Capture (CDC) technology to stream data changes into Apache Flink, enabling real-time analytics and data processing. Flink CDC simplifies data pipeline development with its declarative YAML configurations. -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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H2 Database
H2 is an embeddable RDBMS written in Java
...If you don't want other computers in the network to access the database on your machine, you can let the firewall block these connections. Only local connections are required at this time. -
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QuestDB
An open source SQL database designed to process time series data
...It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports. QuestDB implements ANSI SQL with native extensions for time-oriented language features. These extensions make it simple to correlate data from multiple sources using relational and time series joins. QuestDB achieves high performance from a column-oriented storage model, massively-parallelized vector execution, SIMD instructions, and various low-latency techniques. The entire codebase was built from the ground up in Java and C++, with no dependencies, and is 100% free from garbage collection. ... -
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ConcourseDB
Distributed database warehouse for transactions, search and analytics
ConcourseDB is a distributed, self-tuning database designed for real-time applications, offering strong consistency and ACID compliance without requiring complex configurations. It provides dynamic schema support and automatic indexing. -
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Apache Baremaps
Create custom vector tiles from OpenStreetMap
Baremaps is an Apache Incubator project that provides tools and a Java-based pipeline for building and rendering vector tiles from OpenStreetMap (OSM) data. It’s designed for fast map generation, serving tiles, and supporting real-time updates, making it a powerful backend for map-based applications. -
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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. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Addax
Addax is a versatile open-source ETL tool
Addax is a data integration and ETL (Extract, Transform, Load) tool designed for high-performance data migration tasks. It simplifies the process of moving data between different systems and formats. -
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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. -
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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. -
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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 and supports SQL amongst the query languages. Thanks to the SQL layer it's straightforward to use for people skilled in the Relational world. ... -
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XTDB
General-purpose bitemporal database for SQL, Datalog & graph queries
...Across all implicit relationships, across all time. As a document-oriented database, XTDB makes your data immediately available without the need for an upfront schema. Both structured and unstructured data are at home in XTDB. Legal regulations like GDPR often pose a challenge when designing systems around immutable data. -
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OpenRefine
A free, open source, powerful tool for working with messy data
...OpenRefine keeps all data securely in your computer by running a small server on it, using your web browser to interact with it. When you're ready, then that is the only time the data will be shared outside of your computer. OpenRefine is available in over 15 languages, is cross-platform and part of the Code for Science & Society. -
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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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RESTHeart
Rapid API Development with MongoDB
RESTHeart is an open-source middleware that exposes MongoDB databases as a RESTful API, allowing developers to interact with MongoDB using HTTP-based queries instead of traditional drivers. -
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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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Apache Iceberg
Apache Iceberg
...Iceberg brings the reliability and simplicity of SQL tables to big data while making it possible for engines like Spark, Trino, Flink, Presto, Hive, and Impala to safely work with the same tables, at the same time. The core Java library that tracks table snapshots and metadata is complete, but still evolving. Current work is focused on adding row-level deletes and upserts, and integration work with new engines like Flink and Hive. The Iceberg format specification is being actively updated and is open for comment. Until the specification is complete and released, it carries no compatibility guarantees. ... -
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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... -
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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. -
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CDC Connectors for Apache Flink
CDC Connectors for Apache Flink
...CDC connectors for Table/SQL API, users can use SQL DDL to create a CDC source to monitor changes on a single table. CDC Connectors for Apache Flink® supports ingesting snapshot data and real time changes from databases to Flink®. -
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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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LSJ-Server
LSJ-Server-Terra (Java Multipurpose Sever connected with MariaDB)
...It offers a robust backend for IT maintenance and MMORPG/RTS games without heavy framework overhead. [Features] Pure Java & MariaDB: Fast data processing & persistence. Real-time Monitoring: GUI for live logs and user management. Optimized Networking: Low-latency TCP/IP support. [How to Use] Config: Set MariaDB and Port (default: 10815). Control: Use 'Start' and 'Stop' buttons. Manage: Monitor logs/users and use the bottom command field. https://github.com/s1213123/LSJ-Server/ -
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GETL
ETL engine based on Groovy
...GETL taken into account when developing ideas and following requirements: 1. The simpler the class hierarchy, the easier solution; 2. The data structures tend to change over time, or not be known in advance, working with them must be maintained; 3. All routine work ETL should be automated wherever possible; 4. Compiling the code on the fly bail speed and reserve for the optimization; 5. Sophisticated class hierarchy guarantee easy connection of other open source solutions.
