# Best Database as a Service (DBaaS) Providers - Page 8 *By [Rachana Hasyagar](https://research.g2.com/insights/author/rachana-hasyagar)* Database as a service (DBaaS) is the process of application owners paying an outside provider that launches and maintains a cloud database for storage, as opposed to having the application owners control the database themselves. Payments are per-usage and application owners can access their application data as they please. These databases provide the same functionality as a standard relational or non-relational database. DBaaS is beneficial for companies that are trying to avoid the work of configuring, maintaining, and upgrading their own databases. DBaaS lives in the overall realm of software as a service (SaaS), similar to platform as a service ([PaaS](https://www.g2.com/categories/cloud-platform-as-a-service-paas)) and infrastructure as a service ([IaaS](https://www.g2.com/categories/infrastructure-as-a-service-iaas)), where all products are hosted as a service. Other types of databases include [relational database](https://www.g2.com/categories/relational-databases) tools, [NoSQL database](https://www.g2.com/categories/nosql-databases) tools, [graph database](https://www.g2.com/categories/graph-databases) tools and more. Developers on a budget also have options with [free database software](https://learn.g2.com/free-database-software). To qualify for inclusion in the Database as a Service category, a product must: - Be offered by an independent data storage provider - The outside provider must launch, maintain, administer, and be held responsible for performance of said database - Application owners must be able to access necessary data on-demand - These services must be offered via per-usage subscription-based payment plans ## Top Database as a Service (DBaaS) Providers at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) | 4.5/5.0 (865 reviews) | Automated relational DBaaS inside AWS-native workloads | "[Streamlined Database Management with Amazon RDS](https://www.g2.com/survey_responses/amazon-relational-database-service-rds-review-12793938)" | | 2 | [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) | 4.3/5.0 (521 reviews) | In-memory HTAP analytics inside SAP ecosystems | "[Blazing-Fast In-Memory Performance with Seamless SAP Integration](https://www.g2.com/survey_responses/sap-hana-cloud-review-12419032)" | | 3 | [DigitalOcean](https://www.g2.com/products/digitalocean/reviews) | 4.6/5.0 (738 reviews) | Predictable-cost managed databases for developer-built apps | "[Full Control and Flexible Scaling for Growing Projects](https://www.g2.com/survey_responses/digitalocean-review-12730597)" | | 4 | [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews) | 4.4/5.0 (498 reviews) | Serverless NoSQL storage inside AWS-native architectures | "[Highly Scalable, Low Latency Database with Seamless AWS Integration](https://www.g2.com/survey_responses/amazon-dynamodb-review-12782261)" | | 5 | [Oracle Database](https://www.g2.com/products/oracle-database/reviews) | 4.3/5.0 (929 reviews) | Mission-critical OLTP and data warehousing workloads | "[Seamless Integration and Secure Data Management with Oracle Database](https://www.g2.com/survey_responses/oracle-database-review-12973283)" | | 6 | [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews) | 4.5/5.0 (436 reviews) | MySQL/PostgreSQL-compatible cloud-native relational database | "[Scalable and Efficient, But Costly](https://www.g2.com/survey_responses/amazon-aurora-review-12520046)" | | 7 | [ScyllaDB](https://www.g2.com/products/scylladb/reviews) | 4.5/5.0 (424 reviews) | High-throughput NoSQL with shard-per-core performance | "[Best Performance and Low Latency with NoSQL Database (ScyllaDB)](https://www.g2.com/survey_responses/scylladb-review-12400005)" | | 8 | [Azure SQL Database](https://www.g2.com/products/azure-sql-database/reviews) | 4.5/5.0 (232 reviews) | Fully-managed relational DBaaS inside Azure ecosystem | "[Hands-Off Scaling and Seamless Azure Integration with Azure SQL Database](https://www.g2.com/survey_responses/azure-sql-database-review-12828652)" | | 9 | [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) | 4.5/5.0 (354 reviews) | GCP-native fully-managed relational database operations | "[Secure, Highly Available, and Scalable Cloud SQL for Diverse Workloads](https://www.g2.com/survey_responses/google-cloud-sql-review-12804608)" | | 10 | [Amazon Athena](https://www.g2.com/products/amazon-athena/reviews) | 4.4/5.0 (162 reviews) | Serverless ad-hoc querying on S3 data lakes | "[Athena Makes S3 Data Validation Fast and Infrastructure-Free](https://www.g2.com/survey_responses/amazon-athena-review-12876937)" | --- ## What Are the Most Common Questions About Database as a Service (DBaaS) Providers? *AI-generated · Last updated: May 26, 2026* ### Which is the best DBaaS provider for enterprises? Based on G2 reviews, [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) stands out for enterprise use cases in this review set. According to verified users, it is frequently used to unify large data environments, support finance and procurement workflows, handle real-time analytics, and connect tightly with broader SAP systems. G2 reviewers mention strong performance for large datasets, a single source of truth across departments, and reduced infrastructure management. They also note tradeoffs such as learning curve, setup complexity, and cost planning, which buyers should weigh for broader rollouts. For enterprise teams prioritizing integrated operations, centralized data, and real-time processing, recent reviews point to SAP HANA Cloud as a leading fit. ### What is the best DBaaS platforms for high availability and disaster recovery? Based on G2 reviews, buyers looking for high availability and disaster recovery in Database as a Service (DBaaS) Providers should focus on products reviewers repeatedly associate with failover, backups, and resilient production operations. According to verified users, Amazon Relational Database Service (RDS) is praised for Multi-AZ deployments, automated backups, failover, and point-in-time recovery. G2 reviewers mention Azure SQL Database for automated backups, geo-replication, and built-in high availability. Reviews of Google Cloud SQL also highlight automated backups, failover support, and point-in-time recovery. Across this review set, users consistently value tools that reduce downtime risk and remove manual recovery work for production teams. **Here are some of the top-rated products on G2:** - [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) – praised for Multi-AZ failover, automated backups, and point-in-time recovery in production environments - [Azure SQL Database](https://www.g2.com/products/azure-sql-database/reviews) – used for built-in backups, geo-replication, and high-availability support with less server management - [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) – highlighted for automated backups, failover support, and helping teams maintain continuity without manual administration ### What is top DBaaS solutions for regulated industries? Based on G2 reviews, regulated-industry buyers often prioritize auditability, security controls, compliance support, and reliability over broad customization. According to verified users, SAP HANA Cloud is used for finance, procurement, compliance reporting, and access control scenarios, with reviewers calling out centralized data, role-based privileges, and secure operations. Oracle Database reviews also emphasize secure management of large-scale business data and strong reliability. G2 reviewers mention Azure SQL Database for built-in security, backups, and reduced operational burden in environments where uptime and controlled access matter. Across recent reviews, the strongest signals point to platforms that combine secure data handling with dependable reporting and continuity for critical business processes. **Here are some of the top-rated products on G2:** - [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) – used for finance, procurement, compliance reporting, and database-level access control across enterprise workflows - [Oracle Database](https://www.g2.com/products/oracle-database/reviews) – valued for secure, large-scale data management and reliable support for business-critical operations - [Azure SQL Database](https://www.g2.com/products/azure-sql-database/reviews) – chosen for built-in security, backups, and managed operations that reduce infrastructure risk ### Which DBaaS offers the fastest performance? Based on G2 reviews, [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) is the strongest match for buyers prioritizing performance in this category. According to verified users, it is repeatedly described as fast for real-time analytics, complex queries, large datasets, dashboards, and in-memory processing. G2 reviewers mention near-instant query responses, faster reporting, and better support for transactional and analytical workloads in one platform. Some users also note that tuning, setup, and cost management can require more experience, especially at scale. Still, across the recent review set, SAP HANA Cloud shows the clearest and most frequent performance-focused feedback for organizations seeking a high-speed DBaaS option. ### What is top-rated DBaaS tools for scalability? Based on G2 reviews, scalable Database as a Service (DBaaS) Providers are the ones users trust to grow with workload demands while keeping operations manageable. According to verified users, Amazon Relational Database Service (RDS) is often praised for easy scaling, read replicas, and reduced manual work. G2 reviewers mention Azure SQL Database for quick scaling, elastic pools, and support for changing usage patterns. SAP HANA Cloud reviews also emphasize independent scaling of compute and storage, plus support for large analytics and integrated enterprise workloads. Across the review set, buyers consistently value products that handle growth without forcing teams into constant maintenance or major architectural change. **Here are some of the top-rated products on G2:** - [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) – used for scaling relational workloads with read replicas, automated operations, and less manual administration - [Azure SQL Database](https://www.g2.com/products/azure-sql-database/reviews) – recognized for elastic scaling, workload flexibility, and simplified management for growing applications - [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) – highlighted for scaling compute and storage to support large analytics and enterprise data growth ### Which DBaaS integrates with AI and analytics tools? Based on G2 reviews, [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) is a strong choice for teams that need integration with AI and analytics workflows. According to verified users, it supports BI reporting, analytics, real-time processing, data integration across sources, and connections within broader SAP environments. G2 reviewers mention use cases involving dashboards, reporting, advanced analytics, and support for AI-related modernization efforts. While some users say setup and optimization can be complex, the product is repeatedly associated with centralized data, fast querying, and integrated enterprise analysis. In this review set, SAP HANA Cloud shows the clearest overlap between DBaaS capabilities and analytics-heavy, AI-adjacent use cases. ### Which DBaaS provider offers the most robust security? Based on G2 reviews, [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) appears most often in security-focused recent reviews among products with sufficient review volume. According to verified users, RDS is valued for secure data storage, advanced security features, managed backups, and reduced operational risk because AWS handles much of the infrastructure work. G2 reviewers mention high availability, controlled access, and improved reliability as important benefits for production environments. Some users note less low-level control than self-managed databases, but that tradeoff is often tied to the convenience of managed administration. For buyers seeking a managed relational platform with strong security signals in G2 reviews, RDS stands out. ### What is best DBaaS solutions for multi-cloud deployments? Based on G2 reviews, multi-cloud and cross-environment needs show up most clearly in platforms that reviewers describe as connecting distributed systems or supporting broad deployment flexibility. According to verified users, SAP HANA Cloud is noted for hybrid and multi-cloud integration, smart data access, and connecting legacy and cloud systems. G2 reviewers also mention ScaleGrid for hosting databases across providers like DigitalOcean and Linode, especially where data privacy requirements matter. YugabyteDB reviews highlight geo-distributed and cloud-native deployments with resilience and PostgreSQL compatibility. In the recent review set, buyers evaluating multi-cloud DBaaS options should look closely at products associated with cross-platform integration, distributed deployments, and lower infrastructure management overhead. **Here are some of the top-rated products on G2:** - [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) – used for hybrid and multi-cloud integration, smart data access, and connecting legacy systems with cloud platforms - [ScaleGrid](https://www.g2.com/products/scalegrid/reviews) – chosen for managing databases across multiple providers while supporting expansion and data privacy needs - [YugabyteDB](https://www.g2.com/products/yugabytedb/reviews) – highlighted for geo-distributed deployments, resilience, and cloud-native scaling across regions ### What is best DBaaS platforms for cost optimization? Based on G2 reviews, cost optimization in Database as a Service (DBaaS) Providers usually comes from reducing infrastructure work, avoiding overprovisioning, and keeping scaling flexible. According to verified users, Amazon Relational Database Service (RDS) is often credited with saving time through automation, though several reviewers warn that costs can rise with scale. Google Cloud SQL is described as cost-effective for smaller projects and valuable for reducing admin overhead, even if scaling can increase spend. DigitalOcean reviews emphasize transparent pricing and predictable billing, which many teams value for planning. Across recent reviews, the best cost-focused fit depends on whether buyers prioritize operational savings, pricing transparency, or lightweight setup for smaller environments. **Here are some of the top-rated products on G2:** - [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) – helps reduce manual database work through automation, backups, and scaling support - [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) – valued for lowering operational overhead and being approachable for smaller cloud database projects - [DigitalOcean](https://www.g2.com/products/digitalocean/reviews) – recognized for transparent pricing, predictable billing, and simple infrastructure management for lean teams ### What is top DBaaS platforms for cloud-native applications? Based on G2 reviews, cloud-native application teams tend to favor DBaaS products that minimize infrastructure work while integrating cleanly with surrounding cloud services. According to verified users, Amazon Aurora is often used for production applications, back-end APIs, and microservices where uptime and scalability matter. G2 reviewers mention Amazon DynamoDB for event-driven applications, real-time workloads, and seamless AWS integration with Lambda and other services. Supabase reviews highlight fast setup for app backends, integrated auth and storage, and a developer-friendly workflow for modern products. Across the review set, the strongest cloud-native signals come from products tied to managed scaling, service integration, and faster feature delivery. **Here are some of the top-rated products on G2:** - [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews) – used for production apps, microservices, and high-availability relational workloads with less manual maintenance - [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews) – supports event-driven applications, low-latency workloads, and seamless integration with AWS services - [Supabase](https://www.g2.com/products/supabase-supabase/reviews) – helps teams launch app backends quickly with managed Postgres, auth, storage, and developer-friendly setup ## How Many Database as a Service (DBaaS) Providers Products Does G2 Track? **Total Products under this Category:** 142 ### Category Stats (Jul 2026) - **Average Rating**: 4.43/5 (↑0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Azure Database for PostgreSQL (+1.53%) - Among all products in this category, Azure Database for PostgreSQL recorded the largest rating increase compared to last month *Last updated: July 02, 2026* ## How Does G2 Rank Database as a Service (DBaaS) Providers Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 11,100+ Authentic Reviews - 142+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Database as a Service (DBaaS) Providers Is Best for Your Use Case? - **Leader:** [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) - **Highest Performer:** [Boost.space](https://www.g2.com/products/boost-space/reviews) - **Easiest to Use:** [DigitalOcean](https://www.g2.com/products/digitalocean/reviews) - **Top Trending:** [Boost.space](https://www.g2.com/products/boost-space/reviews) - **Best Free Software:** [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) --- **Sponsored** ### Couchbase Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=318&secure%5Bchosen_at%5D=2026-07-03T10%3A31%3A15Z&secure%5Bdisplayable_resource_id%5D=318&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=318&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1263&secure%5Bresource_id%5D=318&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdatabase-as-a-service-dbaas%3Fpage%3D2&secure%5Btoken%5D=a6cedfff4f495ef645268958263b14cb4b7dac0ef1e9d04a5c2ba95d0a561499&secure%5Burl%5D=https%3A%2F%2Fwww.couchbase.com%2F%3Futm_source%3Dg2%26utm_medium%3Ddisplay&secure%5Burl_type%5D=custom_url) --- ## What Is Database as a Service (DBaaS) Providers? [Database Software](https://www.g2.com/categories/database-software) ## What Software Categories Are Similar to Database as a Service (DBaaS) Providers? - [Relational Databases](https://www.g2.com/categories/relational-databases) - [Document Databases](https://www.g2.com/categories/document-databases) - [Key Value Databases](https://www.g2.com/categories/key-value-databases) --- ## How Do You Choose the Right Database as a Service (DBaaS) Providers? ### What You Should Know About Database as a Service (DBaaS) ### What is Database as a Service (DBaaS)?  Database as a Service (DBaaS) is the software used to set up, operate, and scale databases in the cloud. Users can access a cloud database system without having to purchase hardware, install additional software, or even manage the database themselves. All these activities are done by the DBaaS provider, including upgrades, new software additions, availability of the database at all times, and downtime minimization. A few minutes of deployment time could replace weeks of time for development and installation work. DBaaS has been growing in popularity since it allows customers to focus on business operations and decisions.  The DBaaS software will manage runtime environment, OS, middleware, servers, storage, networking capabilities, and virtualization, whereas the customer needs to manage applications and data. In an on-premise environment, a customer needs to handle all the components mentioned above. **Evolution of DBaaS** Companies spent their finances to get servers, storage, database management systems, and any other hardware that would be installed and located within their own data center. Along with infrastructure costs, training for IT staff on this hardware was required. Additional costs such as maintenance and licensing all led to a very high total cost of ownership (TCO) for the vendor. Companies were so busy focusing on developing their data centers that several ended up forgetting the reasons they were installed in the first place—to streamline business processes and make data-driven decisions. IT administrators would take a long time to troubleshoot and fix errors, and these would often cause downtimes and delays affecting the entire business. Considering these exorbitant costs, SME or SMBs would find it extremely difficult to invest in such requirements. As these issues grew along with the time and cost, companies realized a need for a more efficient process in place. The focus was now on automating tasks—virtualization, containerization, and several other technologies grew significantly. Finally, with the advent of cloud computing databases being offered as a service not only by some of the largest cloud providers (such as Amazon Relational Database Service, IBM Db2, Azure SQL Database, and Google Cloud Firestore) but also on-premises database management system providers, people realized the importance of cloud. **What Does DBaaS Stand For?** DBaaS stands for Database as a Service. DBaaS is also known as managed database service. Usage of a DBaaS software means that there is no need for a user to deploy a database management system (DBMS) on premises since it is a managed service. It uses all the benefits of cloud computing to ensure that the user has low to zero initial infrastructure costs. ### What are the Common Features of Database as a Service (DBaaS)? The following are some core features within the DBaaS that can help users in several ways: **Automation:** Database administration, access control, monitoring, and several other tasks are completely automated. The customers do not need to concern themselves with these tasks, since they are designed in a manner that the machine itself will automatically execute all tasks without any human intervention. **Self-service capabilities:** Since the DBaaS software is fully automated, admin tasks can be automated as well. These tasks can be scheduled to support different database activities. DBaaS providers will support numerous automated tasks such as OS and kernel updates, back-up scheduling and restoration, software patching, and built-in replication among others. **On-demand usage:** Users can opt for the DBaaS as per requirement, and it only takes a couple of minutes to set up. There are overall IT savings since the customer will only pay as per usage. **Dynamic:** The DBaaS software is a flexible platform and will use the resources available as required. It will tailor itself to match the user's environment needs. **True high availability (HA) and resilience:** DBaaS systems need to show true HA so that the system is dependable enough to continuously work without any errors. For a DBaaS system, HA means that users can run several critical applications and workloads without having to worry about a database failing or becoming unavailable due to any failure. ### What are the Benefits of Database as a Service (DBaaS)? Some of the key benefits of DBaaS software is provided below:  **Low initial costs:** Since the customer does not need to invest in any hardware, there are no upfront costs associated with database technologies. In addition, the customer does not need to purchase additional database management systems if the need for scaling arrives. The customer only needs to pay a subscription fee for using the DBaaS software which is determined by the resources being consumed. In case a customer needs to purchase additional capacity in the future, they can just opt to subscribe for the same or add additional features to their subscription pricing plan. **Scalability:** Since the customer would not own the hardware itself, the DBaaS software vendor will provide the customer with a flexible and scalable infrastructure to scale up or down based on their database needs. A customer can scale down the number of resources being used during off-peak times, and increase its resources during high-peak requirements. This benefit is also very useful when we consider very large datasets or big data applications. **Reduced risk complexities:** When creating a DBaaS service level agreement (SLA), the cloud computing provider needs to ensure that the customer will be provided a certain amount of uptime. In case this fails, the customer can be compensated for the same. **Supports configurability:** Most of the DBaaS providers provide numerous options for customers to configure their DBaaS as per their database. Since there are several different types of databases, this configurability feature is a must to ensure the quality of the DBMS process. **Lower admin costs:** Since there is no hardware owned by the customer, there is no requirement for a database management team to handle it. Most of the operations are handled by the DBaaS provider and customers can choose what they prefer to control. IT staff can refocus their time on working on other applications, software, and workloads. **Improved time to market:** When using an on-premises database, development teams usually raise a ticket to their IT teams to provide some information which could take days. But with DBaaS software, developers can also be allowed to access the DBaaS capabilities, and download their required data or information in a matter of minutes. **Security:** Since cloud providers have their own strong and secure encryption and security methods to ensure that customer data is safe on the cloud, these security features are extended to a DBaaS customer as well. DBaaS software providers will also take care of any government compliance data regulations such as HIPAA. ### Who Uses Database as a Service (DBaaS)? Some of the key personas that use DBaaS are listed below: **DBaaS administrator:** This persona will be primarily responsible for maintaining and managing the DBaaS software. A DBaaS administrator can use the software to create, delete, and restore database deployments, can monitor service usage in the cloud, and send requests to scale or patch up as required. **Cloud account administrator:** A cloud account administrator manages the cloud accounts for an organization. They can create users and provide them access to the DBaaS solutions. The administrator will be responsible for deleting and adding user personas as well. **Identity domain administrator:** This persona will be in charge of creating cloud service administrators and creating accounts for the DBaaS administrator within a particular identity domain. **Nonuser or administrator:** This persona will work with the cloud service. This user will be assigned application roles, service roles, workload-related tasks, and others. Users will be able to access several database instances within a particular identity domain. **Application owner** : Within the organization, the application owner will use the DBaaS software to access or call any database required for running the application. There is no need to wait for days to raise any request to get access to a database. **Developers:** Developers can use several cloud-hosted APIs to build new applications and access and manipulate the data for various programs. Because of this feature, DBaaS shares several similarities with other SaaS or PaaS cloud-based offerings. ### Challenges with Database as a Service (DBaaS)  DBaaS solutions can come with their own set of challenges.  **Lack of control:** This is considered to be the biggest challenge that customers face with DBaaS. Customers do not have direct access to servers that are running the database. The customer cannot be involved in the physical security of the servers or even cybersecurity that protects the data. If for any reason the server stops working, the customer is affected until the cloud provider fixes it. **Security concerns:** Although DBaaS providers provide top-notch security from their cloud computing capabilities, organizations might find using DBaaS a challenge. The fact that the customer would not have control over how the data is stored, accessed, transmitted, or backed up could cause severe security concerns. There have been numerous data breaches being reported daily across the globe and several organizations are becoming wary of using DBaaS software. **Dependency on the cloud provider for additional enhancements:** There is a lack of physical control when a customer opts for a DBaaS solution. In case a customer wants to upgrade their service with enhanced security products, for example, the customer will not have any control over the same. They can raise a ticket request with the cloud provider. There is no method in place for a customer to implement any additional services that they want which are not offered by the cloud provider. So in the example above, the customer would need to wait until that particular security enhancement is supported by the cloud provider or opt for the one that the cloud provider is offering. **Vendor lock-in challenges:** Several DBaaS solution offerings will provide numerous features today to move more customer databases to the cloud. However, no one can predict the future so what is a good decision today may not be one tomorrow. As an example, data privacy and compliance regulations in the future could pressurize EU customers to store their data in a particular location, but due to vendor lock-in issues, the customer could run into several problems since several DBaaS cloud providers such as Amazon, Google, and Oracle are based out of US headquarters. ### How to Buy Database as a Service (DBaaS)  Under this section, a customer can gather and prioritize key requirements and RFI distribution, specifically for DBaaS software: #### Requirements Gathering (RFI/RFP) for Database as a Service (DBaaS) For customers looking for a wide array of DBaaS options, having a neutral opinion will be key to choosing one. Customers can use reviews here at G2.com as a guide to move forward with the DBaaS option. When choosing a DBaaS option, it’s very important to ask the following questions: - Does the cloud provider support the type of database that is required? - Can the provider support scaling requirements in the future? - Are there standards for data protection and regulations? - Does the provider have support teams present in case of any query? - Is it a high availability (HA) software? Is it able to withstand any nodal failures? - Does it have a robust backup? Does it support built-in replication? By answering these questions, the customer will have an understanding of what kind of DBaaS service provider would be the best fit for their organization. Understanding the customer’s database type or technology and making sure that the cloud provider can support this database is key. #### Compare Database as a Service (DBaaS) Products **Create a long list** In this step, buyers should keep their options open to consider the full range of products. Buyers have the freedom to explore numerous offerings that the DBaaS market has. In addition, this is the main step to evaluate the answers to the above questions. The long list can be made much more concise and smaller by addressing the goals. **Create a short list** Buyers can make much more granular comparisons on this step. In addition to this, buyers can use the G2 reviews to further narrow this list down. **Conduct demos** Once the list has been reduced to a couple of vendors, buyers may begin to request a demo. During a DBaaS demo, buyers should seek out information that is related to their non-negotiable terms. This is a good stage where the buyer can delve more deeply into understanding how secure their database will be, what the features are—latency in loading databases, after-service support, staff training, and other additional features that can be provided.  #### Selection of Database as a Service (DBaaS) **Choose a selection team** Choosing the right team to work together to decide the right DBaaS software is a critical part of the process. This team will be in charge of overseeing the entire database migration to cloud. The team should include a mix of different personas who have the required skills, the interest, and the time. Some roles include DBaaS admins, cloud engineers, and IT admins. The buyer administrator is one of the key personnel required for this selection team since this admin will control the buying process. For smaller firms that want to move to DBaaS, they might not have several employees to be a part of this team, and therefore they might need to overlap roles to make the best assessment. **Negotiation** A buyer can choose to negotiate to trim costs. The buyer needs to note that if in the future there is a requirement for scaling, there would be additional costs or an increase to the subscription pricing. Keeping such factors in mind will help the buyer to put forward better negotiation tactics for the specific functions that matter. **Final decision** Once all the steps are complete, the final decision is made weighing all factors and scenarios. Having a trial run of the DBaaS software is a good place to start. A small group of developers or admins can use the DBaaS software to see if there are viable benefits and pass on their views to the team making the final decision.