Hitachi Streaming Data PlatformHitachi
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Language Server Protocol (LSP)Microsoft
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About
The Hitachi Streaming Data Platform (SDP) is a real-time data processing system designed to analyze large volumes of time-sequenced data as it is generated. By leveraging in-memory and incremental computational processing, SDP enables swift analysis without the delays associated with traditional stored data processing. Users can define summary analysis scenarios using Continuous Query Language (CQL), similar to SQL, allowing for flexible and programmable data analysis without the need for custom applications. The platform's architecture comprises components such as development servers, data-transfer servers, data-analysis servers, and dashboard servers, facilitating scalable and efficient data processing workflows. SDP's modular design supports various data input and output formats, including text files and HTTP packets, and integrates with visualization tools like RTView for real-time monitoring.
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About
The Language Server Protocol (LSP) defines the protocol used between an editor or IDE and a language server that provides language features such as autocomplete, go to definition, find all references, and documentation on hover. Adding these features for a programming language takes significant effort, and traditionally the work had to be repeated for each development tool because every editor or IDE exposed different APIs for implementing the same capabilities. LSP standardizes how language servers and development tools communicate, allowing the language-specific intelligence to live in a reusable server that can connect to multiple development environments through a shared protocol. This means a single Language Server can be reused across many tools, while development tools can support multiple languages with less duplicated effort. The protocol enables inter-process communication between the development tool and the language server and defines the format of messages using JSON-RPC.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
IT infrastructure teams and data engineers in large enterprises seeking a high-performance, real-time analytics solution to monitor systems, detect anomalies, and drive operational efficiency
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Audience
Programming language maintainers and editor developers who need a standard way to deliver code intelligence features across multiple IDEs and development tools
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationHitachi
Japan
www.hitachi.com
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Company InformationMicrosoft
Founded: 1975
United States
microsoft.github.io/language-server-protocol/
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Categories |
Categories |
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Streaming Analytics Features
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards
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