36,074 PH launches analyzed!
HYCU Backup & Restore for Jira
Alternatives
HYCU Backup & Restore for Jira
Never lose data on Jira Cloud
111
Problem
Users face challenges in ensuring their Jira Cloud data, including projects, issues, and attachments, is securely backed up and easily restorable. This leads to significant risks of data loss, non-compliance, and disruption in operations, securing backups and easy restoration of Jira Cloud data.
Solution
HYCU Backup & Restore for Jira is a solution delivered as a cloud service that automates the backup of Jira Cloud data and facilitates one-click restoration of projects, issues, and attachments. It promises full data protection, compliance, and resilience in under 5 minutes, automate Jira cloud backups and restore with a single click.
Customers
IT managers, DevOps teams, compliance officers, and companies of various sizes that rely on Jira for project management and are concerned with data protection and regulatory compliance.
Unique Features
Automatic backup of Jira Cloud data in under 30 seconds, one-click restoration of projects, issues, and attachments, and full protection, compliance, and resilience in less than 5 minutes.
User Comments
Saves significant time and resources on data protection.
Enhances peace of mind regarding compliance and resilience.
Extremely quick setup and user-friendly operation.
Reliable restoration of data with minimal effort.
A must-have for any organization that relies on Jira Cloud.
Traction
Limited data available from provided sources. Additional research required to ascertain current user base, revenue, and growth metrics.
Market Size
While specific market size for Jira Cloud backup solutions is not readily available, the broader cloud backup market size was valued at $2.4 billion in 2020, with expected growth.
Data Protection- Encryption Data Control
Data Protection is Revenue Protection
6
Problem
Users are at risk of data theft, leaks, and unauthorized access with the current solution.
Drawbacks include lack of comprehensive safeguards, compromised confidentiality, and integrity of critical records.
Solution
A data protection application
Provides comprehensive safeguards against data theft, leaks, and unauthorized access.
Ensures confidentiality and integrity of critical records.
Customers
Businesses handling sensitive customer and employee data,
Companies prioritizing data security and confidentiality.
Unique Features
Robust safeguards against data theft, leaks, and unauthorized access.
Comprehensive protection for critical records.
User Comments
Great product for ensuring data security!
Easy to use and effective in safeguarding sensitive information.
Provides peace of mind knowing our data is secure.
Highly recommend for businesses prioritizing data protection.
Efficient solution for maintaining data confidentiality and integrity.
Traction
Innovative product gaining traction in the market.
Positive user feedback and growing user base.
Market Size
$70.68 billion global data protection market size expected by 2028.
Increasing demand for data security solutions driving market growth.
Qubinets: No-Code Cloud Infrastructure
Open Source Data environments for your AI/Data project
381
Problem
Organizations and developers often struggle with setting up and managing complex cloud infrastructure for AI/Data projects, dealing with multiple aspects like cloud services, Kubernetes, networking, and security. The complexity increases with the need to integrate a wide range of data sources, often leading to lengthy and error-prone processes. The complexity and resource-intensive nature of setting up and managing cloud infrastructure for AI/Data projects.
Solution
Qubinets offers a no-code platform that simplifies the creation and management of cloud infrastructure for AI and data projects. Users can easily configure cloud services, Kubernetes, networking, and security settings, and integrate with 300 data sources. The platform supports deployment on 4 public cloud providers and includes a free prototyping sandbox. Qubinets enables easy set-up of cloud infrastructure with its no-code platform, integrating various data sources and providing a free sandbox for prototyping.
Customers
Data scientists, AI researchers, and developers in organizations of any size looking to streamline the setup and management of cloud infrastructure for AI and data projects.
Unique Features
No-code platform for easy setup, Integration with 300 data sources, Deployment on 4 public cloud providers, Free prototyping sandbox
User Comments
Simplifies cloud infrastructure setup
Highly flexible with multiple cloud provider options
The no-code aspect is particularly useful for non-technical users
The integration with numerous data sources is a core benefit
The free sandbox is great for testing and prototyping
Traction
Specific traction details are not provided, further research is required to find quantitative data.
Market Size
The global cloud computing market size was valued at $368.97 billion in 2021 and is expected to grow.
Data Oculus
Data Profiling, Quality & more for Public Datasets
70
Problem
Analysts and data scientists face challenges in extracting maximum value from public datasets such as Kaggle and Google Cloud
Drawbacks of the old situation: Lack of detailed profiling and quality information leads to inefficiencies, requiring significant time and effort to understand public datasets
Solution
Web-based tool providing data profiling and quality assessment for public datasets
Users can: Easily extract maximum value from public datasets like Kaggle and Google Cloud by accessing detailed profiling and quality information, saving time and effort
Core features: Detailed profiling, quality assessment, and enhanced understanding of public datasets
Customers
Data scientists, analysts, researchers, and professionals dealing with public datasets
Occupation/Position: Data analysts and scientists
Unique Features
Detailed profiling and quality assessment of public datasets
Time-saving tool for understanding public datasets efficiently
User Comments
Saves a lot of time and effort in analyzing public datasets
Detailed profiling helps in extracting maximum value from datasets
Useful tool for data scientists and analysts
Efficient and effective
Great for enhancing data analysis workflow
Traction
Details on the traction of the product are not available
Market Size
Global market for data analytics and business intelligence solutions was valued at approximately $23.1 billion in 2021
Wren AI Cloud
Unleash Customer Insights. Chat with Data. Drive Results.
120
Problem
Users struggle to understand their customers and unlock insights hidden in data.
Drawbacks: Lack of clear insights impacts marketing and sales efforts.
Solution
A chat-based AI marketing intelligence platform
Core features: Users can chat in plain English to access customer insights, unify data from various sources like HubSpot, Airtable, Google Sheets.
Customers
Marketers, sales professionals, and business owners seeking to enhance marketing and sales efforts through AI-driven insights.
Alternatives
View all Wren AI Cloud alternatives →
Unique Features
Chat-based interface for easy access to insights
Integration with multiple data sources for comprehensive analytics
User Comments
Simplified access to customer insights
Effective integration with various data platforms
Enhanced marketing and sales performance
AI-driven recommendations are valuable
Easy-to-understand analytics
Traction
Specific numbers not available through the provided resources.
Market Size
$28.63 billion was the size of the global AI market in marketing in 2021.
Masthead Data
Know compute cost of every pipeline & model in your BigQuery
429
Problem
Data engineers struggle to identify anomalies and pipeline errors efficiently, leading to increased compute costs and inefficiency in managing BigQuery pipelines. The increased compute costs and inefficiency are significant drawbacks.
Solution
Masthead Data is a dashboard tool that allows data engineers to monitor anomalies, pipeline errors in real-time, and optimize cloud compute costs for their BigQuery data pipelines without accessing or reading the data. It provides real-time monitoring, anomaly detection, and cloud compute optimization with column-level lineage and functionality.
Customers
The primary users are data engineers working with BigQuery in organizations, responsible for managing data pipelines and optimizing compute costs.
Alternatives
View all Masthead Data alternatives →
Unique Features
The unique features of Masthead Data include real-time anomaly and error monitoring, column-level data lineage, and compute optimization for BigQuery data pipelines without the need for data access.
User Comments
Unfortunately, specific user comments are not provided in the given information.
Traction
Specific traction data such as users, revenue, or launch details are not provided in the given information.
Market Size
The cloud computing market size is expected to grow from $371.4 billion in 2020 to $832.1 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 17.5% during the forecast period.
Ploomber Cloud
Deploy AI/ML/data apps for free.
96
Problem
Deploying AI/ML/data applications is often complex, requiring extensive setup, configuration, and maintenance. Users struggle with the technical intricacies of hosting and scaling these applications on various cloud platforms, leading to increased development time and potential scalability issues.
Solution
Ploomber Cloud is a platform to deploy AI/ML/data applications such as Flask, FastAPI, Streamlit, Panel, Solara, Voilà , Gradio, or any other framework via Docker. It enables users to launch their applications quickly and easily, starting for free without the need for a credit card.
Customers
Data scientists, AI researchers, ML engineers, and developers looking to deploy data-driven applications easily and effectively.
Alternatives
View all Ploomber Cloud alternatives →
Unique Features
Supports deployment of applications using various frameworks (Flask, FastAPI, Streamlit, etc.) through Docker, making it highly flexible. Offers a start-for-free model with no credit card required, lowering the entry barrier for new users.
User Comments
Satisfied with the ease of deployment.
Appreciate the wide range of frameworks supported.
Praise for the no upfront cost model.
Positive feedback on the platform's user-friendly interface.
Some requests for more documentation and tutorials.
Traction
Since the product is relatively new, specific traction details such as number of users, MRR/ARR, or financing are not widely available publicly. The product launched on Product Hunt, indicating it's in the early stages of user adoption.
Market Size
The global AI market size was valued at $93.5 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 38.1% from 2022 to 2030.
Assignee History for JIRA Cloud
View JIRA assignee history
87
Problem
Users of JIRA Cloud struggle to track the historical changes to issue assignees, which leads to inefficiency and difficulty in managing team collaboration and task oversight.
Solution
Assignee History for JIRA Cloud is a plugin that fetches information directly from the issue history in JIRA, displaying only assignation-related information at a dedicated spot on the issue page. Users can view the assignee history easily, without needing to sift through other unrelated history log details.
Customers
The user persona most likely to use Assignee History are project managers, development team leads, and Agile coaches who regularly use JIRA for project management and need to oversee task assignments and team responsibilities.
Unique Features
The unique aspect of this product lies in its streamlined, focused display of only assignee-related changes directly on the issue page, enhancing usability and relevance for project tracking.
User Comments
Improves project management efficiency by showing only relevant assignee changes.
Easy to use within the JIRA environment; integrates seamlessly.
Helps in auditing and tracking the responsibility over time.
Essential for teams where tasks are frequently reassigned.
Supports better transparency and accountability within teams.
Traction
Recently launched on Product Hunt, has received positive feedback indicating a good initial user engagement.
Market Size
The market for JIRA plugins is robust due to the extensive use of JIRA in project management. The global project management software market, in which JIRA holds significant share, is valued at $5 billion
People of Data
How leading companies use data & the people making it happen
78
Problem
Users face challenges in understanding how leading companies leverage data to drive impact
Lack of insights into the people, processes, and culture that differentiate top data operators
Solution
Content platform showcasing stories of top companies and data operators and their use of data to create real impact
Provides an inside look at the people, processes, and culture that set them apart
Customers
Data enthusiasts and professionals
Professionals seeking insights into successful data strategies and operations
Alternatives
View all People of Data alternatives →
Unique Features
Focuses on real stories of companies leveraging data
Provides deep insights into the people, processes, and culture behind successful data utilization
User Comments
Highly informative and insightful content
Great resource for understanding data-driven strategies
Engaging stories that bring data applications to life
Inspiring and educational platform for data professionals
In-depth look at how data impacts business success
Traction
Growing user engagement and positive feedback
Increasing content consumption and user retention
Market Size
Global market for data-driven insights and strategies was valued at approximately $123.9 billion in 2021
Orchestra Data Platform
Rapidly build and monitor Data and AI Products
52
Problem
Tech-first organizations face challenges optimizing data quality, cost, failures, data volumes, and durations for specific Data and AI products, and consolidating tooling is difficult. Data Lineage is also a concern.
Solution
Orchestra is a platform that allows users to rapidly build and monitor Data and AI Products, optimizing data quality, cost, failures, data volumes, and durations from a single place while consolidating tooling. Data Lineage is included.
Customers
Tech-first organizations, data scientists, AI researchers, and data engineers are the primary users likely to use this product.
Unique Features
Consolidation of tooling, optimization of data products including quality and cost, inclusion of Data Lineage for enhanced tracking and analysis.
User Comments
Solves complex data management effectively
Simplifies the monitoring of Data and AI products
Effective in consolidating tooling
Useful for optimizing data costs
Helps in understanding Data Lineage
Traction
Specific traction data not available
Market Size
The global market for AI and Big Data Analytics was valued at $68.09 billion in 2020 and is expected to grow.