
Bemi - Detailed Review
Data Tools

Bemi - Product Overview
Introduction to Bemi in the Data Tools Category
Bemi is an innovative, open-source solution specifically crafted for automatic database change tracking, particularly for PostgreSQL databases. Here’s a breakdown of its primary function, target audience, and key features:Primary Function
Bemi’s main purpose is to track database changes automatically, ensuring 100% reliability and a comprehensive record of every modification. It achieves this by leveraging PostgreSQL’s Write-Ahead Log (WAL) and implementing Change Data Capture (CDC).Target Audience
Bemi is aimed at developers, database administrators, and organizations that need to maintain detailed audit trails, ensure compliance, and manage data changes efficiently. This includes fintech companies, as it was initially developed for compliance engineering in such environments, but it is now a general-purpose utility.Key Features
- Automatic and Reliable Tracking: Bemi tracks all database changes without requiring any alterations to the existing database structure. It captures changes even if they are executed through direct SQL outside the application.
- High Performance: It operates in the background without affecting runtime execution or database workload, ensuring high performance and minimal overhead.
- Ease of Use: Bemi is easy to use and does not require changes to table structures or code rewriting. It integrates seamlessly with popular Object-Relational Mappers (ORMs) such as those for JavaScript/TypeScript, Ruby, and Python.
- Time Travel Querying: Users can retrieve historical data and easily filter changes, which is useful for troubleshooting, auditing, and analyzing trends.
- Application Context: Bemi can enhance low-level database changes with application-specific context, such as information about the user who made the change or the API endpoint where the change was triggered.
- Scalability and Security: Bemi is designed to be lightweight and secure, with the ability to scale using automatically provisioned cloud infrastructure. It treats data with utmost security, implementing stringent measures to protect and store it.

Bemi - User Interface and Experience
User Interface and Experience of Bemi
The user interface and experience of Bemi, particularly in its data tools and AI-driven product category, are crafted with ease of use and clarity in mind.
Ease of Use
Bemi is designed to be user-friendly, even for non-technical users. It does not require any alterations to your existing database structure, making it easy to integrate into your current system without rewriting code or changing table structures.
User Interface
The interface is built to provide a clear and accessible view of database changes. Here are some key aspects:
Human-Readable Logs
Bemi leverages AI to transform complex data changes into human-readable logs, making it easier for users to interpret and analyze the data. This feature is particularly useful for non-technical users who need to troubleshoot or review customer activity logs.
Internal Dashboard
Bemi typically includes an internal dashboard that showcases each customer’s activity logs. This dashboard offers basic filtering functionality, allowing users to drill down on specific entities they are trying to troubleshoot.
Time Travel Querying
The interface allows users to filter changes and query historical data, a feature known as time travel querying. This enables users to easily group and filter changes, providing a comprehensive view of past database activities.
Overall User Experience
The overall user experience is enhanced by several factors:
Application-Specific Context
Bemi allows you to pass application-specific context when performing database changes. This includes information such as the user who made the change, the API endpoint where the change was triggered, and the method used. This context is automatically passed and stored in a structured, easily queryable format.
Performance and Reliability
Bemi operates without affecting runtime execution and database workload, ensuring high performance and 100% reliability in capturing data changes. This means users can rely on the system to track changes accurately without any performance penalties.
Scalability
The cloud solution includes worker ingesters, queues for fault tolerance, and an automatically scalable cloud-hosted PostgreSQL, ensuring that the system can handle increasing demands without compromising on performance or reliability.
In summary, Bemi’s user interface is designed to be intuitive and accessible, providing clear and actionable insights into database changes while ensuring high performance and reliability.

Bemi - Key Features and Functionality
Bemi Overview
Bemi is an AI-driven tool that specializes in providing an automatic, reliable audit trail for PostgreSQL databases, ensuring data integrity and compliance. Here are the key features and how they work:Automatic Audit Trail
Bemi implements a Change Data Capture (CDC) design pattern by connecting to the built-in replication log of a PostgreSQL database. This allows it to ingest all changes at the database level and store them in a structured format in a separate, serverless PostgreSQL database. This feature ensures that all data changes, including those made directly via SQL queries, are captured with 100% accuracy.Seamless Setup and Integration
Bemi connects to your PostgreSQL database in a read-only mode, which means it does not require write permissions. This setup can be completed in just a few minutes, and it integrates seamlessly with existing tools and codebases, including popular Object-Relational Mappers (ORMs) like Prisma and TypeORM.Contextualized Data
Bemi enhances low-level database changes by stitching them with application-specific context. This includes information about who made the change, where the change was made (e.g., API endpoint, worker), and how the change was made. This contextual data is stored in a structured format, allowing for easy querying and analysis of historical records.Security and Data Protection
Bemi prioritizes security with encryption for data both at rest and in transit. It uses TLS encryption and connection poolers to ensure secure data transfer. The data is stored in an auto-scaled and optimized serverless PostgreSQL database, further enhancing security and scalability.Proactive Troubleshooting
Bemi’s AI capabilities provide clear visibility into sensitive data changes, enabling proactive troubleshooting. Users can easily identify and address potential issues before they become compliance concerns, reducing downtime and ensuring data integrity.Regulatory Compliance
Bemi facilitates easy compliance with software compliance requirements by providing a comprehensive audit log. This log can be used for audit, digital forensics, and troubleshooting purposes, helping businesses meet regulatory standards effectively.Scalability and Flexibility
Bemi is designed to handle large data volumes and scales automatically. It supports various hosting partners and offers different plans to accommodate various data change volumes, from 1,000 new data changes per month to custom plans for larger needs.User Interface and Support
Bemi features an intuitive interface that makes it easy for users to manage and analyze data changes. It also offers standard and priority support options, along with dedicated Slack channels for assistance. The tool supports selective table tracking and column-based filter rules, providing users with granular control over what data changes are tracked.AI Integration
While Bemi is not explicitly described as using AI for complex analytics, it leverages AI capabilities to provide clear visibility into sensitive data changes and to enhance the contextual information associated with these changes. This makes it easier for users to navigate through the narrative of modifications made, facilitating proactive troubleshooting and compliance management.Conclusion
In summary, Bemi offers a comprehensive solution for tracking database changes, ensuring data integrity, and facilitating regulatory compliance, all through a seamless, secure, and scalable approach.
Bemi - Performance and Accuracy
Performance
Bemi is built to track database changes with high performance and reliability. Here are some highlights:- Bemi uses PostgreSQL’s Write-Ahead Log (WAL) and implements Change Data Capture (CDC), ensuring 100% reliability in tracking database changes.
- It operates in the background without affecting runtime execution, which means it does not slow down your database operations.
- The system is designed for high performance, allowing for real-time tracking of database changes without impacting the database’s overall performance.
Accuracy
The accuracy of Bemi is a significant strength:- By leveraging the WAL and CDC, Bemi ensures that all database changes are captured accurately and comprehensively.
- It provides the ability to time travel through changes and easily filter them, which enhances the accuracy of tracking and auditing database modifications.
- The integration at both the database and application levels allows for adding application-specific context to the changes, making the data more meaningful and accurate.
Limitations and Areas for Improvement
While Bemi offers strong performance and accuracy, there are a few areas to consider:- Integration Requirements: Bemi requires integration at the database level, which might be a barrier for some users who are not familiar with PostgreSQL’s WAL and CDC mechanisms. However, this is a necessary step for its functionality.
- Application-Level Integration: While integrating at the application level is recommended for adding context, it may require additional setup and configuration. This could be a learning curve for some users, especially if they are using different Object-Relational Mappers (ORMs).
- Scalability and Support: While Bemi includes features like worker ingesters, queues for fault tolerance, and an automatically scalable cloud-hosted PostgreSQL, the scalability and support needs of very large or highly distributed databases would need to be carefully evaluated.

Bemi - Pricing and Plans
The Pricing Structure for Bemi’s Data Tools
The pricing structure for Bemi’s data tools, as outlined on their website, includes several plans with varying features and capacities. Here’s a breakdown of each plan:
Starter Plan
- Cost: $19/month
- Data Changes: 1,000 new data changes per month
- Data Retention: Unlimited
- Connected Databases: 1
- Dashboard Users: 3
- Support: Standard support
- Features:
- Serverless destination DB cluster
- Connection pooler & TLS encryption
- Selective table tracking
- Dedicated Slack channel
- Column-based filter rules
- IP allow rules
- SSH tunneling
- Connection from static IP
- Advanced permissions
- Optional: HIPAA and SOC 2 compliance (add-on).
Plan for 50K Data Changes
- Cost: Not explicitly stated, but implies a higher tier
- Data Changes: 50,000 new data changes per month
- Data Retention: Unlimited or 30-day options
- Connected Databases: 3
- Dashboard Users: 10
- Support: Standard support
- Features:
- Serverless destination DB cluster
- Connection pooler & TLS encryption
- Selective table tracking
- Dedicated Slack channel
- Column-based filter rules
- IP allow rules
- SSH tunneling
- Connection from static IP
- Advanced permissions
- Optional: HIPAA and SOC 2 compliance (add-on).
Custom Plan
- Cost: Custom pricing
- Data Changes: Customizable
- Data Retention: Customizable, including unlimited options
- Connected Databases: Unlimited
- Dashboard Users: Unlimited
- Support: Priority support
- Features:
- Serverless destination DB cluster
- Connection pooler & TLS encryption
- Selective table tracking
- Dedicated Slack channel
- Column-based filter rules
- IP allow rules
- SSH tunneling
- Connection from static IP
- Advanced permissions
- Included: HIPAA and SOC 2 compliance.
Free Trial
All plans include a 14-day free trial, allowing you to test the features without a credit card requirement.
Additional Notes
- Bemi’s plans are usage-based, and you can upgrade or downgrade your plan as needed.
- The platform supports both cloud and self-hosted options.
- Each plan includes a dedicated Slack channel for support and other features like selective table tracking and advanced permissions.

Bemi - Integration and Compatibility
Bemi: An Automated Data Change Tracking Tool for PostgreSQL
Bemi integrates seamlessly with various tools and platforms, ensuring broad compatibility and ease of use.Database Integration
Bemi connects directly to PostgreSQL databases using the Write-Ahead Log (WAL) and implements Change Data Capture (CDC). This method allows it to track all database changes with 100% accuracy without requiring any modifications to the existing database tables.ORM Compatibility
Bemi is compatible with several popular Object-Relational Mappers (ORMs), including those for JavaScript/TypeScript, Ruby, and Python. This compatibility enables the automatic enrichment of low-level database changes with application-specific context. For example, you can track changes made by a specific user, API endpoint, or worker process with just a few lines of code.Application Level Integration
At the application level, Bemi uses open-source libraries to integrate with your application. This integration allows you to add context to the database changes, such as the user who made the change, the API endpoint involved, or the worker that triggered the change. This contextual information is then stored in a structured and easily queryable format.Architecture and Components
Bemi’s architecture includes Debezium, a flexible tool for CDC, NATS JetStream, a cloud-native messaging system, and the Bemi Worker, which stitches data changes with application context. This architecture ensures high performance and ease of management, making it lightweight and efficient.Cross-Platform Compatibility
While Bemi is specifically designed for PostgreSQL, its components are written in various languages (Debezium in Java, NATS JetStream in Go, and Bemi Worker in TypeScript), which suggests a high degree of flexibility and compatibility across different development environments. However, there is no explicit mention of compatibility with other databases beyond PostgreSQL.Ease of Use and Setup
Bemi is designed to be easy to set up and use. It can connect to your existing PostgreSQL databases in a few clicks without requiring write permissions. The tool also provides a straightforward way to visualize and query data changes, making it user-friendly for developers and data engineers.Conclusion
In summary, Bemi integrates well with PostgreSQL and various ORMs, and its architecture ensures it can be used effectively across different development environments, making it a versatile and reliable tool for automatic data change tracking.
Bemi - Customer Support and Resources
Customer Support
For any questions or issues, users can get in touch with the Bemi team through various channels:
Contact Form and Email
Users can fill out the contact form or send an email directly to hi@bemi.io to reach the support team.
Phone Support
Bemi also provides a phone number ( 1-650-739-9768) for direct communication.
Additional Resources
Bemi provides several resources to help users get started and make the most out of the product:
FAQ Section
The Bemi website has a comprehensive FAQ section that addresses common questions about connecting to databases, storing data changes, and the differences between Bemi and other data tools like ETL and event sourcing.
Integration Guides
For specific frameworks like Ruby on Rails, Bemi offers detailed integration guides. For example, the bemi-rails gem provides instructions on how to integrate Bemi with Active Record and PostgreSQL databases.
GitHub Repositories
Bemi’s GitHub repositories, such as bemi and bemi-rails, contain detailed documentation, use cases, and architectural overviews. These resources are invaluable for developers looking to implement Bemi in their applications.
Testimonials and Case Studies
The Bemi website features testimonials and case studies from various companies that have successfully implemented Bemi. These provide insights into how different businesses have benefited from using the tool.
By leveraging these support options and resources, users can ensure a smooth and effective implementation of Bemi in their data management workflows.

Bemi - Pros and Cons
Advantages of Bemi
Bemi, a tool for tracking database changes, offers several significant advantages that make it a valuable asset in data management:Automatic Database Change Tracking
Bemi ensures 100% reliability in capturing data changes, which is crucial for maintaining accurate and up-to-date records.High Performance
It operates without affecting runtime execution or increasing the database workload, making it efficient and non-intrusive.Ease of Use
Bemi is user-friendly and does not require altering table structures, making it easy to integrate and use without extensive technical adjustments.Time Travel Querying
The tool allows for filtering changes and querying historical data, providing a comprehensive audit log and enabling “time travel” capabilities similar to Event Sourcing.Application-Specific Context
Bemi provides structured data change tracking with optional context through ORM packages, giving detailed insights into where, when, and who made the changes.Quick Setup and Integration
It offers a quick setup process and easy integration, reducing the time and effort needed to get started with tracking database changes.Enhanced Security
Bemi treats data with utmost security, implementing stringent measures to protect and store data, and offers both self-hosting and fully managed cloud solutions.Disadvantages of Bemi
While Bemi offers numerous benefits, there are some potential drawbacks and differences from other tools to consider:Comparison to Other Tools
Bemi differs from logging solutions like DataDog and APM tools like New Relic, as it specifically tracks changes within the database, which these other tools do not.Limitations in Certain Scenarios
Unlike some ORM-related libraries, Bemi avoids issues such as missing data changes made by direct SQL queries, additional runtime performance overhead, and storing changes in a hard-to-query format. However, it may still require some backend package installation and configuration.Self-Hosting and Scalability
While Bemi offers a fully managed cloud solution, self-hosting requires additional setup and management to ensure scalability and fault tolerance.Specific Use Case
Bemi is not an ETL or data warehousing tool but rather a specialized tool for tracking database changes, which might limit its applicability in certain scenarios where broader data management capabilities are needed. By considering these points, users can make an informed decision about whether Bemi aligns with their specific data management needs.
Bemi - Comparison with Competitors
When Comparing Bemi with Similar Products
When comparing Bemi, an AI-powered tool for data change tracking in PostgreSQL databases, with similar products in its category, several key aspects and alternatives come into focus.
Unique Features of Bemi
- Automatic Audit Trail: Bemi provides an automatic, reliable audit trail for PostgreSQL databases, capturing data changes without requiring complex engineering or costly infrastructure.
- Contextual Information: It enriches low-level data changes with contextual information such as who, what, when, and where, making it valuable for audit, compliance, and troubleshooting.
- Security: Bemi offers military-grade encryption and TLS encryption, ensuring high security standards. It also stores data in a serverless PostgreSQL database, which is auto-scaled for scalability.
- Seamless Integration: Bemi integrates seamlessly with existing databases and popular ORMs like Prisma and TypeORM, making the setup process straightforward.
Potential Alternatives
PostgreSQL Triggers
- PostgreSQL triggers can be used for data change tracking but may impact runtime performance and do not provide the same level of contextual information as Bemi.
- Pros: Can be implemented directly within the database.
- Cons: Can affect performance and lacks the advanced security and scalability features of Bemi.
Application-Level Tracking
- Tools like paper_trail in Ruby or django-simple-history in Python track data changes at the application level.
- Pros: Provides app context such as user and API request information.
- Cons: May not be as reliable or accurate as database-level tracking and can be less scalable.
Change Data Capture (CDC)
- Tools like Debezium or pgcapture capture data changes in real-time.
- Pros: Reliable and scalable, similar to Bemi.
- Cons: May require more complex setup and does not provide the same level of contextual information as Bemi.
PgAudit Logs
- The PgAudit extension provides detailed logging of SQL commands.
- Pros: Reliable tracking accuracy and no runtime performance impact.
- Cons: Does not provide the same level of contextual information as Bemi and lacks the seamless integration and scalability features.
Summary
Bemi stands out for its automatic, reliable, and secure data change tracking, along with its ability to provide contextual information. While alternatives like PostgreSQL triggers, application-level tracking, Change Data Capture, and PgAudit logs offer some similar functionalities, they lack the comprehensive features and ease of use that Bemi provides. If you need a tool that integrates seamlessly with your PostgreSQL database, offers high security, and provides detailed contextual information, Bemi is a strong choice. However, if you are looking for simpler or more traditional methods of data change tracking, the alternatives might be more suitable depending on your specific needs.

Bemi - Frequently Asked Questions
Here are some frequently asked questions about Bemi, along with detailed responses to each:
What does Bemi do?
Bemi is a tool that provides an automatic audit trail for PostgreSQL databases. It tracks data changes reliably without requiring complex engineering or costly infrastructure. Bemi connects to your PostgreSQL database (read-only) and captures data changes, storing them in a separate, auto-scaled serverless PostgreSQL database.How does Bemi connect to a database?
Bemi connects to a database using a design pattern called Change Data Capture (CDC). It links to the built-in replication log of the PostgreSQL database, ingesting all changes at the database level and storing them in a structured format in a destination database. This connection can be securely configured through the Bemi dashboard UI in a few seconds.What data does Bemi store and how can it be used?
Bemi stores low-level database changes and stitches them with application-specific context, such as who made the change, where it was made (e.g., API endpoint, worker), and how it was made. This information is stored in a structured format, allowing for time travel queries to fetch historical records, group changes by user or API request, and revert changes if necessary.How secure is the data and where is it stored?
Bemi prioritizes data security by storing all data in an auto-scaled and optimized serverless PostgreSQL database. The data is encrypted both at rest and in transit, and Bemi offers a fully managed, secured cloud solution that includes dedicated Bemi worker ingesters, queues for fault tolerance, and enhanced UI features. Users can also choose to store data in any destination database, including the original one.Is Bemi similar to ETL tools and warehouse solutions?
Bemi is different from ETL tools and data warehousing solutions. While it uses similar techniques to capture data changes, Bemi focuses specifically on change data capture and does not perform transformations or loading into different data warehouses. It integrates not just on the database level but also on the application level, enhancing data changes with context such as who and where the changes were made.Is Bemi like Git for data and does it implement Event Sourcing?
Bemi allows for event-sourcing any database without requiring significant changes to existing code or switching to specialized databases. It tracks database state changes similarly to how Git tracks code changes, but it does not implement Event Sourcing in the traditional sense. Instead, it provides a practical approach to tracking all database state changes.Why not just use logging solutions like DataDog and APM tools like New Relic?
Logging solutions and APM tools like DataDog and New Relic do not track changes made within a database. Bemi specializes in automatically tracking changes for each database record individually, providing an audit log that can be used for audit, digital forensics, and troubleshooting purposes.How can I self-host Bemi?
For those who prefer self-hosting, Bemi provides open-source libraries and documentation on how to set it up. This involves configuring the Bemi worker, using Debezium for Change Data Capture, and integrating with NATS JetStream for messaging. Detailed instructions can be found in the Bemi documentation.What are the key features and benefits of using Bemi?
Key features include automatic and reliable database change tracking, high performance without affecting runtime execution, easy setup without changing table structures, time travel querying, and the ability to filter changes. Bemi also integrates with ORMs like Prisma and TypeORM, providing contextualized data changes. It offers various hosting options, scales to handle large data volumes, and includes features like selective table tracking and column-based filter rules.What are the use cases for Bemi?
Bemi has several use cases, including creating audit trails for compliance purposes, real-time data streaming to applications, time travel to retrieve historical data, troubleshooting application issues, change reversion, distributed tracing, testing by rolling back or forward to different application states, and analyzing historical trends for informed decision-making.
Bemi - Conclusion and Recommendation
Final Assessment of Bemi
Overview and Key Features
Bemi is an AI-driven tool specifically designed to simplify code compliance and ensure data integrity, particularly for PostgreSQL databases. It provides an automatic, reliable audit trail, capturing all data changes without the need for complex engineering or additional infrastructure. Key features include automatic database change tracking, high performance without affecting runtime execution, ease of use without altering table structures, and the ability to query historical data through time travel querying.
Who Would Benefit Most
Bemi is highly beneficial for organizations that rely heavily on database management and need to maintain strict compliance with regulatory requirements. This includes businesses in various sectors such as finance, healthcare, government, and any industry where data integrity and audit trails are crucial. Small to medium-sized businesses, as well as larger corporations, can benefit from Bemi’s ability to provide a clear and reliable record of all database changes, ensuring transparency and compliance.
Ease of Use and Integration
Bemi integrates seamlessly with existing tools and codebases, including popular Object-Relational Mappers (ORMs) like Prisma and TypeORM. It connects to PostgreSQL databases in a read-only mode, capturing and storing changes with high accuracy. The setup is straightforward, and users can start tracking data changes within minutes. This ease of integration and use makes Bemi an attractive solution for teams looking to enhance their database management practices without significant engineering effort.
Security and Reliability
Security is a top priority for Bemi, with data encrypted both at rest and in transit. The tool stores data in a serverless PostgreSQL database, ensuring scalability and reliability. These features provide peace of mind for users, knowing that their data changes are securely tracked and stored.
Recommendation
For any organization needing to ensure data integrity, compliance, and reliable audit trails, Bemi is a highly recommended tool. Its ability to automatically track database changes, integrate with existing systems, and provide a secure and scalable solution makes it an invaluable asset. Whether you are in a highly regulated industry or simply need to maintain a transparent and auditable database, Bemi offers a comprehensive and reliable solution that can significantly simplify your data management processes.
In summary, Bemi is a powerful tool that can greatly benefit any organization requiring stringent data compliance and integrity measures, making it an excellent choice for enhancing database management practices.