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What is Memgraph?

Memgraph presents a robust and agile graph platform that includes the Memgraph Graph Database, the MAGE Library, and the Memgraph Lab Visualization tool. This innovative graph database is designed to enable rapid and efficient analysis of data, relationships, and dependencies. It features an extensive array of pre-existing deep path traversal algorithms, alongside a collection of traditional, dynamic, and machine learning algorithms specifically created for in-depth graph analysis, making Memgraph a prime option for crucial decision-making processes like risk evaluation (including fraud detection, cybersecurity threat assessment, and criminal risk analysis), comprehensive data and network exploration (such as Identity and Access Management, Master Data Management, and Bill of Materials), and the optimization of logistics and networks. Additionally, Memgraph boasts a thriving open-source community that unites over 150,000 developers from more than 100 countries, fostering collaboration and innovation in developing the next generation of in-memory data-driven applications, particularly in the realms of GenAI, LLMs, and real-time analytics with streaming data. Such a vibrant community not only enhances the platform's capabilities but also ensures that it remains at the forefront of technology advancements in the graph database ecosystem.

What is Hitachi Streaming Data Platform?

The Hitachi Streaming Data Platform (SDP) is specifically designed for the real-time processing of large volumes of time-series data as it is generated. By leveraging in-memory and incremental computation methods, SDP facilitates swift analyses that avoid the usual lags associated with traditional data processing approaches. Users can define summary analysis scenarios using Continuous Query Language (CQL), which has a syntax similar to SQL, thereby allowing flexible and programmable data analysis without the need for custom-built applications. The platform's architecture comprises various elements such as development servers, data-transfer servers, data-analysis servers, and dashboard servers, which collectively form a scalable and efficient ecosystem for data processing. Moreover, SDP’s modular architecture supports numerous data input and output formats, including text files and HTTP packets, and integrates effortlessly with visualization tools like RTView for real-time performance tracking. This thoughtful design guarantees that users can proficiently manage and analyze their data streams as they happen, ultimately empowering them with actionable insights. As a result, organizations can respond more quickly to changing data conditions, significantly enhancing their operational agility.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
KeyLines
ReGraph
Virtana Platform

Integrations Supported

Amazon Web Services (AWS)
KeyLines
ReGraph
Virtana Platform

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Memgraph

Date Founded

2016

Company Location

United Kingdom

Company Website

memgraph.com

Company Facts

Organization Name

Hitachi

Company Location

Japan

Company Website

www.hitachi.com

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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