Search Results for "time series forecasting java"
Sort By:
Showing 12 open source projects for "time series forecasting java"
View related business solutions-
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
-
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.
-
1
ObjectBox Java Database
Java and Android Database - fast and lightweight without any ORM
High-performance NoSQL database with integrated Data Sync for decentralized Edge Computing. Get fast access to the data you need across Embedded Devices, IoT, and Mobile. ObjectBox is 10x faster than any alternative, with high-speed data ingestion that increases response times. Check out our benchmarks. 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,... -
2
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. -
3
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. -
4
OpenTSDB
A scalable, distributed time series database
OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase. OpenTSDB was written to address a common need: store, index and serve metrics collected from computer systems (network gear, operating systems, applications) at a large scale, and make this data easily accessible and graphable. Store and serve massive amounts of time series data without losing granularity. Generate graphs from the GUI, pull from the HTTP API, choose an open source front-end. OpenTSDB... -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
5
KairosDB
Fast scalable time series database
KairosDB is a fast distributed scalable time series database written on top of Cassandra. -
6
Heroic
The Heroic Time Series Database
Heroic is a scalable time-series database developed by Spotify, designed for real-time analytics and monitoring of large-scale systems. -
7
ksqlDB
The database purpose-built for stream processing applications
Build applications that respond immediately to events. Craft materialized views over streams. Receive real-time push updates, or pull current state on demand. Seamlessly leverage your existing Apache Kafka® infrastructure to deploy stream-processing workloads and bring powerful new capabilities to your applications. Use a familiar, lightweight syntax to pack a powerful punch. Capture, process, and serve queries using only SQL. No other languages or services are required. ksqlDB enables you... -
8
BlobCity
A blazing fast ACID compliant NoSQL DataLake
BlobCity DB is an AI-optimized, NoSQL database designed for high-performance analytics and machine learning workloads. It combines structured and unstructured data storage, offering fast query execution and seamless integration with AI frameworks. It is built to handle large-scale datasets efficiently. -
9
CrNiCKL
CrNiCKL (chronicle) is a Java database for time series
CrNiCKL (pronounced "chronicle") is a data manager written in Java handling large sets of heterogeneous time series. A simple schema system allows to confiture value types and time domains. CrNiCKL runs on top of SQL or NoSQL databases. Drivers for JDBC and MongoDB are available. -
Earn up to 16% annual interest with Nexo.Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform. Geographic restrictions, eligibility, and terms apply.
-
10
ChronoDB
ChronoDB is a data manager for generic time series.
The project has been renamed CrNiCKL (chronicle) and moved to http://crnickl.sourceforge.net. ChronoDB is a data manager written in Java. It supports time series of any type. With its simple and powerful schema subsystem it takes charge of very large heterogeneous data sets. The software consist of an API and a generic implementation layer running on top of an SQL or a NoSQL system. Applications can mix objects from multiple ChronoDB databases. -
11
Decima is a database that was designed to support time-series data mining. It consists of PostgreSQL custom type definition, implementation of GiST index for that type and snowflake database schema.
-
12
AGTK is a suite of software components for building tools for annotating linguistic signals, time-series data which documents any kind of linguistic behavior (e.g. audio, video). The internal data structures are based on annotation graphs.
- Previous
- You're on page 1
- Next
