A robust platform designed for on-premise data management, enabling enterprises to store, analyze, and manage their data securely within their own infrastructure.
Keyword | Avg Searches | Difficulty | Competition |
---|---|---|---|
data management solutions | 2400 | 15 | LOW |
secure data storage | 1300 | 20 | LOW |
data analytics | 368000 | 26 | LOW |
enterprise data platform | 720 | 19 | LOW |
data warehousing | 201000 | 5 | LOW |
data infrastructure | 4400 | 5 | LOW |
google data analytics | 27100 | 25 | LOW |
business analytics | 110000 | 24 | LOW |
The core issue addressed by an on-premise data platform revolves around the need for enterprises to manage their data securely within their own infrastructure. Unlike cloud solutions, on-premise data management offers full control over data storage, access, and security, which is crucial for certain industries and applications with strict compliance and data protection requirements. Below are specific concerns and challenges as identified from Reddit discussions:
Inconsistent Internet Connectivity: In environments with unstable internet connections, such as manufacturing locations on the outskirts (source), on-premise solutions ensure uninterrupted data access and processing.
Compliance and Security: Industries like healthcare and finance that require stringent data security measures prefer on-premise solutions to mitigate the risks associated with storing sensitive data on public cloud platforms (source).
Performance and Latency: Applications requiring low latency data processing, such as SCADA systems in industrial settings, face challenges when relying on cloud-based solutions due to delays caused by data transmission (source).
High Data Volume Management: Managing large datasets, as mentioned in handling more than a petabyte of production data, poses significant data transfer and storage challenges that on-premise solutions can more effectively address (source).
Limited Modern Tools Adoption: Many organizations still rely on legacy systems for data management and face difficulties transitioning to modern data stacks suitable for on-premise environments (source).
From Reddit discussions, the target audience for an on-premise data platform typically includes:
Industries with Strict Compliance Needs: Healthcare, financial services, and government sectors where data security and compliance with regulations like GDPR and HIPAA are paramount.
Manufacturing: Locations with uneven internet connectivity require robust on-premise solutions to manage data processing reliably (source).
IT Managers and Sysadmins: Responsible for managing large volumes of data and ensuring compliance within enterprise infrastructure (source).
Enterprises Using Legacy Systems: Companies already heavily invested in on-premise data solutions seeking to modernize and integrate new data management technologies (source).
Data Engineers and Data Architects: Tasked with creating and maintaining the data pipelines and infrastructure within the organization (source).
Reddit discussions reveal various competitors and their strengths and weaknesses. Below is an organized summary of key competitors.
Competitor | Strengths | Weaknesses |
---|---|---|
HashiCorp Vault | - Robust security features | - Complexity in deployment (source) |
Cloudera | - Well-suited for large secure data platforms (source) | - Costly solutions, complex setup |
SuperMicro Hardware | - High performance, reliable for large data storage (source) | - Higher initial investment, maintenance overhead |
Azure Data Factory | - Integration with other Microsoft products (source) | - Limited support for specific on-prem solutions |
Minio | - Low cost, scalable object storage (source) | - Requires additional infrastructure for high availability |
PostgreSQL with Airflow | - Open-source, flexible and manageable (source) | - Performance issues with large-scale upserts (source) |
By adhering to this robust and structured approach, the on-premise data platform business can effectively address enterprise needs, optimize for performance, and ensure secure, compliant data management solutions.
r/dataengineering - September 19, 2023
Hi, I am gonna create on premise data platform in onpremise vm server. Specs: 50 vcores, 200gb ram, and atleast 5tb disk size.
r/PostgreSQL - May 5, 2023
I am currently in the process of consolidating two on-premise Oracle databases for my ERP system into a single PostgreSQL database in the cloud.
r/dataengineering - March 16, 2023
I am trying to come up with a modern blueprint for an on-premises data lake and data warehouse.
r/AZURE - September 13, 2021
This one's a bit esoteric, hopefully not too far out of scope for Azure. I've installed the on-premise data gateway as a test for our Power platform devs.
r/MicrosoftFlow - May 9, 2023
I have a custom connector that connects to an ASP.NET web application that runs on https://localhost:44317
r/DevTo - March 26, 2023
Protecting on-premise engineer activity to maintain secure data storage practices.
r/u_datafortune - March 16, 2023
Enterprise Data Management (EDM) is the process of managing an organization's data assets in a structured, systematic, and efficient manner.
r/u_sciententerpriseai - April 17, 2023
Here are some key points to consider when discussing data management solutions: Data integration, Data quality, Security...
r/echojobs - January 3, 2023
Premise Data is hiring Software Engineer, Data Platform | [API Scala Java Python GCP Machine Learning AWS Azure HTML]
r/theonlineforum - March 27, 2023
Worried about keeping your Active Directory secure? Look no further! Introducing the Protectimus On-Premise MFA (multi-factor authentication) platform.
r/sysadmin - August 31, 2023
As title states. Need a new server to store 100TB of data. Looking to hear what others recommend.
r/selfhosted - July 1, 2024
Recently got into paperless ngx and already built a script to extract the amount from the OCR content, 95% success, but company name detection lacks.
r/AZURE - July 1, 2024
Add login.microsoftonline.com and *.windows.net to the trusted sites in internet options and reboot.