It would not be possible for a modern high-performance company to exist without data. As large amounts of data accumulate and become big data, QA teams and programmers begin to face a challenge: processing the data and extracting insights from it.
This article presents some of the 2021 best database management software for database administrators within QA teams.
In a software market full of database management tools for different operating systems, it can be challenging to separate the good from the bad. To help you determine whether a specific database management software solution will be suitable for your database environments, I spent some time looking for the best database management solutions available today.
The Best Database Management Software List
Here’s a shortlist of the best database management software:
What do I consider when I select the best database management software? Here’s a summary of my evaluation criteria:
User Interface (UI): Will the end-users find it clean and attractive?
Usability: Is it easy to learn and master? Does the company offer good tech support, user support, tutorials, and training? Does the software lead to process optimization? Does it work with most data types?
Integrations: Is it easy to connect with other tools? Any pre-built integrations?
Value for $: How appropriate is the price for the features, capabilities, and use case? Is pricing clear, transparent, and flexible?
Database Management Software Key Features
Here are some of the key features I take into account when looking for the best database management software:
Whether you decide to go with an open-source or a paid version, there are certain features that the software you choose should have.
Even though I present the features in a numbered list, the reality is that only you can know the metrics and functionality that works for your team based on your needs. For instance, a specific team may need real-time reports more than it does security.
Even though teams need different features from the database management software, several features come together to create an excellent database management solution.
Removing repetition and redundancy: In any data storage system, you’ll inevitably have duplication. Duplicate data within the data warehouse can make your system bulky and waste your database server’s resources. Thus, your software should reduce any duplication of data.
Security: Excellent database management software is designed to safeguard the integrity of both your in-memory database and your distributed database. It should ensure that only those with access to the data can see it. A secure database gives the database administrator adequate power to manage data security fully.
Automation: A helpful feature is the ability to make things move faster by automating repetitive processes so that human resources are not spent on tasks that a machine could accomplish.
Collaboration: Sophisticated database applications are designed in a way that facilitates collaboration. Therefore, you want to ensure that the database management system (DBMS) you select encourages communication within the application so that everyone is on the same page.
Replication: Today’s popular database technologies are based on a data model that seeks to ensure that when data from one source is lost, it can still be accessed from another. This is called data replication.
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Overview Of The 10 Best Database Management Software
Here’s a brief description of each of the best database management software on my list, showing what it does best, plus screenshots to showcase some of the features.
With most of the software tools I include in this article, I was impressed by what they can do. However, what makes Apache Cassandra a household name in the tech community is the fact that it is a community completely led by volunteers who co-develop free and open-source software.
Free as it may be, Apache Cassandra still comes with some impressive features. For instance, it ensures data replication to multiple nodes. It is decentralized to ensure that there are no single points of failure, and failed nodes can be replaced without any downtime.
2. DBeaver – Best for teams using different databases
The developers of DBeaver call this relational database management system the “One tool for all databases.” This is a relational DBMS that supports popular relational databases such as MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, MariaDB, Sybase, Teradata, Netezza, and many more.
DBeaver also supports NoSQL databases, including MongoDB, Apache Hive, Redis, and Cassandra.
The DBeaver software is licensed-based. You can choose between three editions: Lite ($10 for one month or $99 for a year), Enterprise ($23 for one month or $230 for one year), or Ultimate ($440 for one year).
The main drawcard for Raima Database Manager (RDM) is that it’s optimized to run on busy IoT devices that rely on real-time response. RDM is designed to run on any software or hardware combination. It promises to meet the market standards regarding data security.
RDM supports various web applications on different operating systems, including Windows, MacOS, and Linux.
To evaluate this product, you can download a free trial. The developers of the software indicate that “the [free] download is licensed only for evaluation of the product. If you wish to use or distribute the product, you will need to purchase a Software Development Kit and Distribution License from Raima.”
4. Valentina – Best for teams that rely on graphical reports
If your team relies on graphical reports such as bar, line, and pie charts, Valentina may be the best database management software for you. Valentina’s Reports Server stores data and helps teams create reports whose content can be in text, PDF, or image format.
Valentina’s pricing model is based on a single-deployment commercial license that starts at $79.99 each. Academics, non-profits, and those who want to evaluate the software can use it for free.
5. Redis – Best for teams working across on-premise, hybrid, or cloud databases
According to the developers of Redis, the software delivers “Sub-millisecond data processing under any load.” Added to this, the DBMS allows users to “program any operation across data models, with … a single unified interface.”
You can start using Redis for free with the 30 MB plan. The service explains its pricing model: “Our annual subscriptions are priced according to the number of database shards required to support your dataset. A ‘database shard’ or ‘database instance’ means any Redis process provisioned by you with Redis Enterprise, including a master database process, a replica database process, or a process supporting a part of a database or clustered database.”
6. DbVisualizer – Best SQL database for analysts and developers
In marketing its product, DbVisualizer specifically targets developers and analysts: “DbVisualizer is the ultimate database tool for developers, analysts, and DBAs.” The software also promises some of the most essential features of data management software, such as high security and workflow customization.
DbVisualizer plans start with the Free Version with a reduced function set and self-service support. The Pro Version Basic comes with up to 60 days per year of support and will set you back $197 per user in the initial year and $69 per user in subsequent renewals. The Pro Version Premium costs $229 per person in the first year and $99 for subsequent renewals and comes with unlimited support.
7. Oracle – Best for teams looking for a cost-effective DBMS
For teams looking for a software tool that will employ machine learning to automate the system, Oracle would be the way to go. The product promises to “provision, scale, and tune, protect and patch, and repair the database—all automatically without user intervention.” It is also designed to enhance data security.
You can test-drive Oracle for free on a 30-day trial. Pricing for paid plans is available upon request.
For development teams, Database Labs’ advice is simple, “Focus on your app. Leave the database to us.” For those who are taking the advice, the results seem to be clear. One user says, “Database Labs has taken the burden off my developers – my ongoing battle with Postgres is finally over!” Another says, “For anyone looking for Postgres experts, I really recommend Database Labs.”
Sadas Engine lists some of the top features that help QA teams to manage big data better. These features include integrating with any data warehouse environment seamlessly, easy setup, and reducing the need for DBA interventions.
Sadas Engine promises a smart licensing pricing policy, and offers a free trial for users who want to test it.
It’s easy for any software developer to call its software the “best-of-breed open-source database monitoring solution.” However, the developers of Percona Monitoring and Management don’t end there; they add that their software “helps you reduce complexity, optimize performance, and improve the security of your business-critical database environments, no matter where they are located or deployed.”
Percona says that it “provides and supports 100% free and open-source enterprise-ready platforms.” However, you can purchase support and service for MySQL, MongoDB, MariaDB, or PostgreSQL. Support plans range between $400 and $1500.
Snowflake – Best for teams that prioritize data security
What Is DBMS?
A data management system (DBMS) is software used for managing a database in a quick, automated, and systematic way. The DBMS helps teams dealing with data accomplish several tasks.
These include defining, organizing, storing, retrieving, and extracting insights from the data. A DBMS uses a system of instructions it receives from the database administrator.
What Are The Benefits Of Database Management Systems And Software?
The QA process requires the collection of massive amounts of data. Different people use the data in a company’s databases. It would be impossible to manage the data without the assistance of a DBMS.
Database management software ensures that this data is easily shared between team members so that everyone is reading from the same page. It also ensures that insights from the data are easier to read, ensuring better decision-making.
One of the most fundamental reasons QA teams need data management software is that it enhances data security. This is accomplished through controlled user access.
What Do You Think About These Database Management Software?
What do you think about the database testing and management tools on my list? Have you used any of them on your database engine? Have you tried others we haven’t listed here like IBM Db2 or Microsoft Access? If this is the case, please use the comments section to tell us about your experience.