Serial Number Database Software

I find ScyllaDB's UI to be very minimal. It doesn't have native integration for cloud functions like MongoDB or Firebase. Also, live streaming requires extra setup compared to Firebase. Review collected by and hosted on G2.com.

With ScyllaDB, I don’t need to worry about data size or schema types. It handles our ERP system(Gateway group of companies erp systen) flawlessly with great performance and low latency, improving user experience significantly. Review collected by and hosted on G2.com.

One downside is that SQL Server can feel heavy during installation and requires a good system to run smoothly. Some features are only available in higher paid versions, which may not be ideal for small teams. Integration with non-Microsoft tools can sometimes need extra steps. Also, customer support can be slow unless you are on an enterprise plan. Overall, while it works well, the setup and advanced features can be a bit challenging for beginners. Review collected by and hosted on G2.com.

Microsoft SQL Server helps us manage large amounts of data in a structured and reliable way. It makes it easy to store, organize, and retrieve information quickly, which improves day-to-day reporting and decision-making. Its integration with Excel and Power BI helps us turn raw data into clear insights much faster. Overall, it saves time, reduces manual work, and helps maintain a single source of truth for our business data. Review collected by and hosted on G2.com.

- Moving from on-prem to RDS broke our deep New Relic integration; because we no longer have OS-level access to install custom agents, we lost the ability to perform granular, table-level monitoring that we relied on for legacy performance tuning.

- We observed that DB gets stuck in the Upgrading/Modifying state during modifications and we really don't have any way to check the actual issue other than just waiting. Sometimes, we are left with just to restart the same, which is quite tedious at times. This really needs some focus from AWS; we, users, need visibility on the progress.

- SYSDBA permissions are restricted, but that's not a blocker. Review collected by and hosted on G2.com.

- Heavy dependency on manual work for upgrades, scaling, patching, and failover in the on-prem model is completely eliminated, and we’re now operating with nearly an 80% reduction in manual effort—freeing the team to focus on actual engineering instead of routine ops.

- Effortless cross‑region failover during outages is a genuine lifesaver, giving us seamless continuity without any significant delay or hick-ups.

- The pricing model also delivers significant savings, with deep discounts on on‑demand rates that directly boost our overall cost efficiency.

- Instance scheduling for Non‑Prod environments is a huge win, letting us shut down unused instances and pay only for storage instead of full compute. We also benefit directly from AWS’s 99.95% uptime commitment, which gives us reliable availability without the overhead of managing infrastructure ourselves.

- Most of our operational work is now fully automated, configuration‑driven, and scheduled, giving us complete control over every activity without the manual overhead that used to slow us down. Review collected by and hosted on G2.com.

Schema changes and large migrations can be painful at scale, horizontal scaling needs more planning than some NoSQL systems, and advanced analytics or complex reporting often require extra tooling or moving data to a separate warehouse. Review collected by and hosted on G2.com.

MySQL reliably stores and queries structured data at scale, providing fast reads, strong indexing, data integrity, and performance for our applications. InnoDB transactions ensure data consistency, and its broad tool support simplifies monitoring, backups, and migrations. Review collected by and hosted on G2.com.

The main downside is the pricing model, which can get expensive at scale compared to self-managed databases. Aurora also has some limitations with certain advanced database features that exist in native MySQL/PostgreSQL. Additionally, cross-region replication setup can be complex, and debugging issues sometimes requires AWS support since it’s a managed service with limited visibility into the underlying infrastructure. Review collected by and hosted on G2.com.

Amazon Aurora helps solve issues of scalability, availability, and database management overhead. It automatically handles backups, failover, and scaling, which reduces downtime and admin effort, while its compatibility with MySQL/PostgreSQL makes migrations smooth. This results in better performance, cost savings, and more focus on application development instead of infrastructure. Review collected by and hosted on G2.com.

Kintone has failed to invest on its interface, making it hard to operate with this app

Kintone is less flexible in matters integration, and more so with third party applications that can help in customizing most of the operations Review collected by and hosted on G2.com.

Kintone is a resourceful approach that gives a guide in creating custom software or solutions to help users handle daily tasks without much effort

The program helps us consolidate data, and apps that are already created snd there is the shared access with high accuracy

Most of repetitive tasks are completely automated, and this eliminates the manual assigning of tasks and this frees most of the employees in a company

The tool aligns with different departmental functions or needs and this creates a team spirit in a company

There is magnificent growth support from this app, ensuring that high innovation is experienced to manage the daily tasks Review collected by and hosted on G2.com.

Although Oracle Database offers very comprehensive features, I consider its main disadvantage to be the complexity in administration and the associated cost. The learning curve is steep, which implies investing time and resources to master its configurations and optimizations. Likewise, licenses and additional services tend to be expensive, which limits its adoption in projects with tight budgets. In some cases, this complexity can create a dependency on highly specialized personnel, increasing operational costs. Review collected by and hosted on G2.com.

Oracle Database solves critical problems related to the secure and efficient management of large volumes of information, ensuring integrity, availability, and performance in complex environments. Its ability to handle simultaneous transactions, optimize queries, and offer high scalability allows applications to run without interruptions, even under intensive loads. This benefits me by reducing operational risks, improving decision-making through reliable data, and optimizing technological resources, which translates into greater productivity and stability for the projects I manage. Review collected by and hosted on G2.com.

I feel that the billing of this product is a bit difficult to understand. It's hard to understand how exactly the cost is calculated and what it is made up of. Review collected by and hosted on G2.com.

It allows for hosting many different types of SQL servers which allows us to have our SQL databases in the cloud and easily connect them to other GCP services being used. It connects with other Google products and allows for a nice unified dashboard where we can look at instance information, usage, querying, data, and more. Review collected by and hosted on G2.com.

The initial setup of EDB for PostgreSQL is definitely a bit challenging, and it could be easier or more understandable for beginners and intermediates. Also, setting it up specifically for BI requires manual tuning of memory settings and parallel query parameters. Having use-case specific suggestions or guides, especially with the current AI trend, would be greatly beneficial. Review collected by and hosted on G2.com.

I use EDB for PostgreSQL for performance diagnostics and query optimizations. It avoids server overloads and improves server times, while the Index Advisor is particularly helpful for optimizing operations on massive tables. The Enterprise Manager helps with real-time monitoring and handling potential issues. Review collected by and hosted on G2.com.

Cost can be high if you don't manage the workload properly. Review collected by and hosted on G2.com.

SAP HANA Cloud solves the challenge of managing transactional and analytical data in separate systems by unifying them on a single in-memory platform. It also simplifies cloud scalability and data integration across the SAP landscape. For me, that means less architectural complexity, faster insights, and more time focused on delivering business value instead of maintaining infrastructure. It is easy to be integrated with other non-SAP platforms as well. Review collected by and hosted on G2.com.

PostgreSQL may require more careful initial configuration and optimization compared to simpler databases. In teams without experience in tuning, indexes, and query planning, performance can degrade if the schema is not designed correctly from the start. Additionally, some advanced administrative tasks demand a deeper technical knowledge. Review collected by and hosted on G2.com.

PostgreSQL helps solve data integrity, concurrency, and scalability issues in critical systems. It allows managing complex transactions with guaranteed consistency and supports high volumes of information without losing performance, as long as the design is appropriate. In my case, it benefits me because it offers stability, security, and the flexibility needed to evolve the data model without having to change technology. Review collected by and hosted on G2.com.

Access would benefit from stronger multi-user concurrency on shared backends. Front ends still lock up or throw record conflicts under moderate load, especially over VPNs or high latency links. A more resilient caching layer and clearer conflict resolution would help.

Version control remains clunky. Storing forms, reports, and macros as text for Git is possible but awkward. Native export and import to a text-friendly format, plus a diff viewer for objects, would make team development far easier.

Deployment is fragile. Packaging and updating compiled ACCDE front ends across desktops needs a first-class updater with checksum validation and rollback, not just custom scripts. Broken references after Office updates are still too common.

Modernization of the UI stack would help adoption. More responsive form controls, better HiDPI handling, and consistent dark theme support in designers would make apps look current without heavy custom code.

VBA is powerful but isolated. Tighter integration with Power Platform, modern authentication libraries, and official support for async HTTP calls would reduce custom wrappers and improve reliability for API work.

Connectivity is uneven. ODBC linking to cloud databases and Dataverse works, yet type mappings and pagination quirks cause surprises. Better drivers, clearer guidance on data types like DateTime2 and decimal precision, and more stable long-running connections would reduce maintenance.

Security and governance could be simpler. Easier ways to apply Sensitivity labels to linked data, a template for least privilege patterns, and audit-friendly logs for data changes originating in Access would help regulated teams. Review collected by and hosted on G2.com.

It provides a simple and efficient platform for building databases and providing users with a platform to store data in a simple and effective manner with minimal effort. Review collected by and hosted on G2.com.

Each library's permissions must be set up by its self, which takes time. An option to assign an admin and Supe Admin roles for managing permissions to streamlining this process will take away some of the team setup pains. Also, the Android app's performance on lower end devices can be problematic, becuase it loads slow, reduces efficient access to team members without investing in more expensive high end devices. But despite this, the app stays a great tool for managing my business operations. Review collected by and hosted on G2.com.

The app cetralizes my business process and alows for great customization and easy automation. It gives me the edge in keeping track of everything Review collected by and hosted on G2.com.

One thing I dislike about TiDB is that the initial setup and configuration can feel complex, especially for beginners who are new to distributed databases. Understanding how different components like PD, TiKV, and TiDB servers work together takes time. In some cases, performance tuning and optimization also require deeper knowledge compared to traditional single-node databases. Additionally, documentation can feel overwhelming because there are many deployment and scaling options to choose from. Review collected by and hosted on G2.com.

TiDB addresses the challenge of scaling databases without giving up SQL compatibility or consistency. In many growing projects, traditional databases can become a bottleneck as traffic rises and data volumes expand. With its distributed architecture, TiDB enables horizontal scaling while continuing to support standard SQL, so I don’t have to redesign the database layer just to keep up with growth.

In projects like Cartify, where I’m building an AI-powered ecommerce assistant with real-time product suggestions, smart cart updates, and analytics, TiDB helps me run transactional workloads and analytical queries side by side. Rather than splitting OLTP and OLAP into separate systems, I can handle both within a single, unified database, which keeps the overall architecture simpler and reduces unnecessary complexity. Review collected by and hosted on G2.com.

One area that can be challenging with YugabyteDB is its operational complexity in certain scenarios. While it offers strong scalability and distributed capabilities, managing clusters across multiple regions and ensuring optimal performance can require careful planning and expertise. Additionally, some advanced features may not yet be as mature or widely documented as traditional databases, which can lead to a steeper learning curve for new users. Review collected by and hosted on G2.com.

YugabyteDB is solving the challenges of building globally distributed, highly available, and scalable applications while maintaining strong consistency. Traditionally, developers had to choose between SQL databases, which are consistent but hard to scale, and NoSQL databases, which scale easily but lack transactional guarantees. YugabyteDB provides the best of both worlds—PostgreSQL compatibility with distributed, cloud-native architecture. Review collected by and hosted on G2.com.

One thing I feel challenging in Amazon DynamoDB is that data modelling is not very straightforward for beginners. If the table design is not planned properly, it can cause performance issues later. Also, complex queries and joins are not supported like traditional relational databases. Sometimes cost can increase if read/write capacity is not configured properly. Initial learning curve is slightly high for new users. Review collected by and hosted on G2.com.

Amazon DynamoDB is solving the problem of handling large-scale data with high traffic and low latency requirements. In real-world projects, we often face sudden traffic spikes in applications. For example, in an e-commerce application during a festive sale, thousands of users access the product catalog and place orders at the same time. DynamoDB automatically scales and handles this load without downtime.

It benefits us by reducing operational overhead, as we don’t need to manage servers or worry about scaling manually. It ensures high availability and fast response time, which improves customer experience and business continuity. Review collected by and hosted on G2.com.

Scaling large Redis clusters isn’t always seamless; it can require planning for downtime or doing careful rebalancing, especially when you’re dealing with stateful workloads. Review collected by and hosted on G2.com.

It helps us maintain application stability by handling traffic spikes without overwhelming our databases. The built-in replication and failover features have improved availability and helped reduce downtime. Review collected by and hosted on G2.com.

One thing I find a bit challenging about Azure SQL Database is that some advanced SQL Server features are limited or not fully supported, such as cross-database queries in certain scenarios or SQL Server Agent jobs for scheduling. This sometimes requires workarounds, like using Elastic Jobs, Logic Apps, or Azure Functions, which adds extra steps. Review collected by and hosted on G2.com.

For me personally, it’s beneficial because I can focus on designing applications, optimizing queries, and ensuring performance, rather than managing servers or worrying about infrastructure failures.

Additionally, features like automatic backups, point-in-time restore, threat detection, and geo-replication give me confidence that our data is safe and recoverable, which is a huge productivity and business benefit. Review collected by and hosted on G2.com.

Knack does not have any developer tools that let you create a workable testbed and transfer code to the live app.

There is no way to filter or search for a particular page in Builder which is a problem when your app has over 100 pages. Likewise it does not let you group your pages easily or categorize them (e.g. Active, Retired, Pending, etc.). While the new Next-Gen version of Builder now has much better tools, we will not be able to migrate because of a major component of our system using JavaScript code and a DHTMLX product. Review collected by and hosted on G2.com.

Knack has provided a platform for our very complex use case as a retirement community tracking resident information, activities, and a Master Calendar. Review collected by and hosted on G2.com.

The maintenance window which was managed by Redis team Review collected by and hosted on G2.com.

Redis Cloud is solving several critical problems that developers and businesses face when managing high-performance, real-time applications. Review collected by and hosted on G2.com.