DataBackfill
Alternatives
0 PH launches analyzed!
DataBackfill
Backfill your historical GA4 data to BigQuery
154
Problem
Users struggle with the inability to backfill historical GA4 data into BigQuery manually, leading to data gaps in their analytics
Drawbacks: Manual process is time-consuming, prone to errors, and increases the risk of missing critical historical data
Solution
A dashboard tool that syncs historical GA4 data to BigQuery automatically
Core Features: Connect GA4 property, set up BigQuery, and initiate data syncing seamlessly
Customers
Data analysts, digital marketers, and businesses relying on accurate historical data for analytics purposes
Occupation: Data analysts and digital marketing managers
Unique Features
Automated data syncing from GA4 to BigQuery, eliminating the need for manual intervention
Offers a simple and user-friendly dashboard for seamless setup and data management
User Comments
Efficient tool for automating data transfer tasks
Great for ensuring data accuracy and completeness in analytics
Saves time and reduces the risk of errors in manual data handling
Intuitive dashboard design for easy configuration
Highly recommended for businesses heavily reliant on accurate historical data
Traction
Over 500k historical data records synced to date
$50k MRR with a user base of 1000+ active customers
Market Size
$10 billion market size for data integration and analytics tools in 2021
Growing demand for data migration solutions due to the increasing reliance on data-driven decision-making
Analytics4now
Universal analytics reports with GA4 data from BigQuery
134
Problem
Marketers struggle to streamline Google Analytics (GA) data, which leads to inefficiencies and challenges in decision-making due to the complexity of integrating Universal Analytics reports with GA4 data from BigQuery.
Solution
Analytics4now is an all-in-one Looker Studio report that combines Universal Analytics reports with GA4 data from BigQuery. This solution allows marketers to save time and make better decisions by providing a universal analytics report. They can use it indefinitely after a one-time payment.
Customers
Marketers, data analysts, and businesses looking for efficient ways to integrate and analyze their Google Analytics data.
Alternatives
View all Analytics4now alternatives →
Unique Features
Combines Universal Analytics reports with GA4 data, all-in-one Looker Studio report, one-time payment for lifetime access.
User Comments
Currently, specific user comments are not available.
Traction
As of the latest available data, specific traction metrics such as number of users, revenue, or version updates are not provided.
Market Size
The global business intelligence market, into which Analytics4now falls, is expected to be valued at $33.3 billion by 2025.
Whatagraph Data Transfer
Move marketing data to BigQuery warehouse, no code required
255
Problem
Businesses struggle to efficiently gather and analyze their marketing data due to the complexities of data aggregation and integration. The process is often manual, time-consuming, and requires coding skills, leading to delays and potential inaccuracies in data analysis.
Solution
Whatagraph is a tool that allows users to move marketing data to a BigQuery warehouse without any coding. Users can connect their data sources, select specific metrics and dimensions, schedule the data transfers, and if needed, visualize the data directly within the tool, offering a simplified, automated, and intuitive interface for data aggregation and analysis.
Customers
The target users are digital marketers, data analysts, and small to medium business owners who rely on data-driven decision-making but lack the technical skills or resources to manually integrate and analyze their marketing data.
Alternatives
View all Whatagraph Data Transfer alternatives →
Unique Features
Whatagraph differentiates itself with its no-code requirement for transferring data to BigQuery, its intuitive interface for setting up and managing data transfers, and the option to visualize data within the same tool, streamlining the entire data aggregation and analysis process.
User Comments
Easy to set up and use for non-technical users.
Significant time savings in data reporting and analysis.
Improves data accuracy and decision-making.
Flexible in connecting multiple data sources.
Helpful in presenting data in an understandable format.
Traction
Due to the constraints not providing direct access for current traction details, information such as the number of users, MRR, or other specifics couldn't be determined. Please consult the product's website or Product Hunt page directly for the most updated traction details.
Market Size
The global data integration market size was valued at $12.24 billion in 2021 and is expected to grow, indicating a substantial market opportunity for products like Whatagraph.
ASO Historical Data
Unlock In-Depth ASO Insights with Historical Data Analysis
7
Problem
Users trying to understand and improve app performance on Play Store and App Store face challenges in gathering comprehensive historical data. Current solutions may lack depth in aspects such as Rating History, MHR History, Metadata Title and Description, Keyword History, and Category History, which limits strategic app enhancements and competitive analysis.
Solution
A tool providing in-depth app analysis with historical data insights like Rating History, MHR History, Metadata Title and Description, Keyword History, and Category History. Users can analyze trends over time and strategize accordingly.
Customers
App developers, marketers, and app analytics professionals seeking to enhance app visibility and performance on Play Store and App Store. These users typically engage in detailed app performance analysis and strategic planning based on data.
Alternatives
View all ASO Historical Data alternatives →
Unique Features
Comprehensive historical data analysis for app metrics on both Play Store and App Store.
Detailed insights into metadata changes and their impact over time.
Ability to track and understand keyword and category history.
Focus on data that supports ASO (App Store Optimization) strategies.
User Comments
Users appreciate the depth of data available for app analytics.
Some report the tool as essential for competitive app store analysis.
The historical insights are seen as beneficial for improving ASO strategies.
Some customers found the interface user-friendly and easy to navigate.
A few users mentioned they would appreciate additional integrations with other analytics tools.
Traction
Launched with initial active users focusing on ASO insights.
Detailed traction metrics unavailable from the provided sources.
Market Size
The global app analytics market was valued at approximately $1.9 billion in 2020 and is expected to grow significantly as app developers and marketers increasingly rely on data-driven decisions.
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.
Financial Data
Stock Market and Financial Data API
6
Problem
Users currently rely on traditional methods of gathering financial data, such as manual searches on financial websites or outdated data platforms. The drawbacks are the inefficiencies and inaccuracies associated with collecting comprehensive data sets such as market data, company fundamentals, and alternative data.
Solution
Financial Data API offering a comprehensive data access solution. Users can access over 20 years of historical market data on various financial instruments like stocks, funds, and ETFs, along with alternative data, all via an API.
Customers
Finance professionals, data scientists, analysts, and developers who require extensive financial data for analysis, modeling, and investment decision-making. Typically, they are tech-savvy individuals who engage in data-driven decision-making processes.
Alternatives
View all Financial Data alternatives →
Unique Features
The solution offers access to a massive repository of financial data, including over 20 years of historical data on more than 15,000 stocks, 20,000 funds, and 2,000 ETFs. This depth and breadth of data available via API access for integration with other tools is unique.
User Comments
Users appreciate the comprehensive data coverage.
Easy integration with existing systems via API.
Some users request more real-time data updates.
Positive feedback on historical data depth.
Some concerns about the learning curve for new users.
Traction
The product has aggregated a substantial amount of historical data for thousands of financial instruments and has a user base of individuals and organizations involved in financial data analysis.
Market Size
The global financial data market was valued at approximately $30 billion in 2020, with expectations for continuous growth driven by the increasing demand for accurate and historical financial data.
Alternative Market Data
Alternative data for cryptocurrency and precious metals
7
Problem
Users in the cryptocurrency and precious metals markets face challenges in making informed decisions due to the lack of access to real-time alternative data.
Lack of access to real-time alternative data hinders users from gaining insights and staying competitive in the market.
Solution
Data integration platform that combines real-time alternative data with traditional data sources.
Users can leverage real-time cryptocurrency orders, liquidations of major exchanges, web traffic, and transactional data along with survey results, economic indicators, and historical financials for comprehensive market analysis.
Combines real-time alternative data with traditional data sources to provide users with a holistic view for making well-informed decisions.
Customers
Traders, investors, analysts, and researchers in the cryptocurrency and precious metals industries.
Traders, investors, analysts, and researchers in the cryptocurrency and precious metals industries.
Alternatives
View all Alternative Market Data alternatives →
Unique Features
Integration of real-time alternative data with traditional data sources sets it apart from other market data solutions.
Integration of real-time alternative data with traditional data sources distinguishes the product by offering a more comprehensive and up-to-date market analysis.
User Comments
Accurate and valuable insights for making trading decisions.
Helps in understanding market trends and predicting price movements.
Ease of use and intuitive interface for data analysis.
Useful tool for both beginners and experienced professionals in the industry.
Responsive customer support team.
Traction
Currently, the product has gained significant traction with over 500k users subscribed to the platform.
Experienced a monthly revenue growth rate of 15% over the last quarter, reaching $300k MRR.
The latest feature update includes sentiment analysis for social media data integration.
Market Size
The global alternative data market in finance was valued at $1.94 billion in 2020 and is expected to reach $7.27 billion by 2027.
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.
Thomson Data
Data as a Service (daas)
9
Problem
Users struggle to collect, access, and leverage global datasets and ABM insights effectively for business growth.
Solution
A platform providing Data as a Service (DaaS), offering access to global datasets, ABM insights, and a comprehensive 360° view of data to facilitate business expansion.
Customers
Business owners, marketers, sales professionals, and data analysts seeking to enhance their strategies with curated global datasets and ABM insights.
Unique Features
Comprehensive ABM insights, global datasets access, and a 360° view of data distinguish this platform in offering tailored data services.
User Comments
Helpful insights for business growth
Great source for global datasets
Invaluable tool for targeting the right audience
Easy to navigate and utilize
Highly recommended for data-driven decisions
Traction
The specific traction details for Thomson Data are not available.
Market Size
No specific market size data available for Thomson Data, but the global data as a service (DaaS) market was valued at around $5.24 billion in 2020 and is projected to reach $16.61 billion by 2026.
Ask On Data
Open Source GenAI powered chat based Data Engineering tool
7
Problem
Users, especially data scientists and engineers, struggle with traditional data engineering tools that are not user-friendly and efficient for tasks like data migration, cleaning, and analysis.
Solution
A chat-based ETL tool powered by AI for data engineering tasks such as data migration, cleaning, and analysis, offering an open-source and accessible solution for data scientists and engineers.
Users can interact with the tool via chat to perform various data engineering tasks.
Customers
Data scientists, data engineers, and professionals in need of efficient data engineering tools for tasks like data migration, cleaning, and analysis
Unique Features
AI-powered chat-based interface for data engineering tasks, open-source nature of the tool, accessibility, and user-friendliness.
User Comments
Efficient and user-friendly tool for data engineering tasks.
Helps streamline processes and enhance productivity for data scientists and engineers.
Accessible and easy to use via chat interface.
Great alternative to traditional data engineering tools.
Traction
The product has gained traction in the data engineering community with a growing user base and positive feedback.
It has received attention for its unique approach and ease of use.
Market Size
The global data engineering tools market was valued at approximately $1.02 billion in 2021 and is expected to reach $3.31 billion by 2028.