# Best Database as a Service (DBaaS) Providers

  *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





## Category Overview

**Total Products under this Category:** 143


## Trust & Credibility Stats

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 10,600+ Authentic Reviews
- 143+ 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.


## Best Database as a Service (DBaaS) Providers At A Glance

- **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**

### Kintone

Kintone is a no-code business application platform designed to empower non-technical users to create robust applications, workflows, and databases tailored to their teams and organizations. By utilizing a user-friendly interface that emphasizes clicks over coding, Kintone enables individuals to develop applications that streamline business processes, enhance collaboration on projects and tasks, and facilitate the reporting of complex data with ease. This platform is particularly beneficial for business users who require immediate solutions without the need for extensive programming knowledge. Kintone offers a wide array of pre-built applications that cater to various use cases, including customer relationship management (CRM), project management, inventory management, and more. These templates allow users to hit the ground running and adapt the applications to their specific needs, significantly reducing the time and effort required to implement new systems. Kintone's target audience includes small to medium-sized businesses, project managers, team leaders, and any professional looking to optimize their workflow without relying on IT departments or external developers. The no-code approach democratizes app development, allowing users from diverse backgrounds to participate in creating solutions that address their unique challenges. This inclusivity fosters a culture of innovation within organizations, as team members can contribute ideas and improvements based on their firsthand experiences. Key features of Kintone include customizable dashboards, automated workflows, and real-time collaboration tools. Users can design dashboards that provide insights into their projects and data at a glance, while automated workflows help eliminate repetitive tasks, ensuring that team members can focus on higher-value activities. The platform also supports real-time collaboration, enabling teams to work together seamlessly, share updates, and track progress on projects without the need for constant meetings or email exchanges. Kintone stands out in the no-code platform category by offering a flexible and scalable solution that grows with organizations. Its ability to integrate with other tools and services further enhances its functionality, allowing users to create a comprehensive ecosystem that meets their evolving business needs. By providing a powerful yet accessible platform for app development, Kintone empowers users to take control of their workflows and drive efficiency within their teams.



[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%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=16406&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&secure%5Btoken%5D=838c499ef17eb0fa0254db17fd1ae8dd73184c5b21ab1372c038efc3fb1b67ee&secure%5Burl%5D=https%3A%2F%2Fwww.kintone.com%2Fdatabase-management-software%2F%3Futm_campaign%3DG2%2520Database%26utm_source%3DG2%26utm_medium%3DCPC%26utm_content%3DDatabase_CTA&secure%5Burl_type%5D=custom_url)

---

## Top-Rated Products (Ranked by G2 Score)
### 1. [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews)
  Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your apps so you can give them the better performance, availability, security, and compatibility they need. Amazon RDS is available on 6 familiar database instances: Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database and SQL Server engines. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your relational database instance via a single API call. In addition, Amazon RDS makes it easy to use replication to enhance availability and reliability for production databases. Amazon RDS for MySQL also enables you to scale out beyond the capacity of a single database deployment for read-heavy database workloads. As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 859

**User Satisfaction Scores:**

- **Application Performance:** 8.8/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.8/10 (Category avg: 8.8/10)
- **Scalability:** 9.1/10 (Category avg: 8.9/10)
- **Provisioning:** 8.8/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,225,864 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Who Uses This:** DevOps Engineer, Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 38% Mid-Market, 34% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (32 reviews)
- Scalability (30 reviews)
- Security (19 reviews)
- Setup Ease (18 reviews)
- Backup Services (16 reviews)

**Cons:**

- Expensive (34 reviews)
- Cost Issues (10 reviews)
- Limited Control (9 reviews)
- Complexity (7 reviews)
- Limited Customization (7 reviews)

### 2. [DigitalOcean](https://www.g2.com/products/digitalocean/reviews)
  DigitalOcean is a cloud computing platform designed to assist businesses and developers in creating, deploying, and scaling applications efficiently. This infrastructure-as-a-service (IaaS) solution caters primarily to startups and growing digital enterprises, providing them with the essential tools and resources needed to establish a robust digital presence or develop innovative software products. By focusing on simplicity and user-friendliness, DigitalOcean enables users to navigate the complexities of cloud computing with ease. The target audience for DigitalOcean includes developers, entrepreneurs, and small to medium-sized businesses seeking reliable cloud solutions without the overhead of managing intricate infrastructure. The platform is particularly beneficial for those who prioritize rapid deployment and scalability, allowing them to focus on their core competencies—building and enhancing their applications. DigitalOcean's offerings are tailored to meet the needs of users at various stages of their development journey, from initial project setup to full-scale production environments. Key features of DigitalOcean include its straightforward user interface, which simplifies the process of launching virtual servers, known as Droplets. Users can choose from a variety of pre-configured images, including popular programming languages and frameworks, to expedite their development process. Additionally, DigitalOcean provides managed services such as databases and Kubernetes, allowing users to offload operational tasks and concentrate on application development. The platform also emphasizes security, offering features like automated backups, monitoring, and firewalls to protect user data and applications. Another significant benefit of DigitalOcean is its strong community support and extensive documentation. Users can access a wealth of tutorials, guides, and forums that facilitate knowledge sharing and problem-solving. This community-driven approach not only enhances the user experience but also fosters collaboration among developers, enabling them to learn from one another and share best practices. By combining powerful infrastructure with a supportive ecosystem, DigitalOcean stands out as a valuable resource for those looking to innovate in the digital landscape.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 731

**User Satisfaction Scores:**

- **Application Performance:** 8.7/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.3/10 (Category avg: 8.8/10)
- **Scalability:** 9.1/10 (Category avg: 8.9/10)
- **Provisioning:** 8.7/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [DigitalOcean](https://www.g2.com/sellers/digitalocean)
- **Year Founded:** 2012
- **HQ Location:** New York
- **Twitter:** @digitalocean (221,390 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2601253/ (2,441 employees on LinkedIn®)
- **Ownership:** NYSE: DOCN

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, CTO
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 83% Small-Business, 11% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (154 reviews)
- Cost-Effective (91 reviews)
- Features (91 reviews)
- Affordable (88 reviews)
- Easy Setup (78 reviews)

**Cons:**

- Limited Features (45 reviews)
- Expensive (43 reviews)
- Missing Features (40 reviews)
- Resource Limitations (27 reviews)
- Limited Functionality (24 reviews)

### 3. [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)
  SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learning and predictive tools grounded in modern data science. Its powerful in-memory performance safeguards efficient data processing. By securely storing vast amounts of data with its integrated multitier storage and handling various types on a single copy in its native multi-model database, SAP HANA Cloud simplifies data management and connects to other data sources. The seamless integration of these capabilities in a reliable, unified foundation makes it easier for developers to build high-demand intelligent data apps.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 512

**User Satisfaction Scores:**

- **Application Performance:** 8.7/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.1/10 (Category avg: 8.8/10)
- **Scalability:** 8.7/10 (Category avg: 8.9/10)
- **Provisioning:** 8.5/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Company Website:** https://www.sap.com/
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP (297,246 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/sap/ (141,341 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Consultant, SAP Consultant
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 61% Enterprise, 26% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (55 reviews)
- Easy Integrations (41 reviews)
- Integrations (40 reviews)
- Speed (39 reviews)
- Scalability (35 reviews)

**Cons:**

- Complexity (33 reviews)
- Expensive (32 reviews)
- Learning Curve (30 reviews)
- Difficult Learning (28 reviews)
- Complex Setup (20 reviews)

### 4. [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
  Oracle Database is a comprehensive, multi-model database management system developed by Oracle Corporation. It is designed to handle various data types and workloads, including online transaction processing (OLTP), data warehousing, and mixed database operations. With its robust architecture, Oracle Database supports deployment across on-premises environments, cloud platforms, and hybrid configurations, offering flexibility and scalability to meet diverse business needs. Key Features and Functionality: - Multi-Model Support: Oracle Database accommodates various data models, including relational, document, graph, and key-value, enabling developers to work with diverse data types within a single platform. - Advanced Analytics: The database integrates advanced analytics capabilities, such as in-database machine learning and AI Vector Search, allowing users to perform complex analyses directly within the database environment. - High Availability and Scalability: Designed for mission-critical applications, Oracle Database offers features like data replication, backup, server clustering, and automatic storage management to ensure high availability and seamless scalability. - Security: With comprehensive security measures, including encryption, SQL Firewall, and data masking, Oracle Database safeguards sensitive information and maintains data integrity. - Multicloud Deployment: Oracle Database supports deployment across various cloud platforms, including Oracle Cloud Infrastructure, AWS, Microsoft Azure, and Google Cloud, providing flexibility and compliance with data residency requirements. Primary Value and Solutions Provided: Oracle Database addresses the complex data management needs of modern enterprises by offering a unified platform that supports multiple data models and workloads. Its integration of AI and machine learning capabilities enables organizations to derive actionable insights directly from their data, enhancing decision-making processes. The database's high availability and scalability ensure that businesses can maintain continuous operations and adapt to growing data demands. Additionally, its robust security features protect against data breaches and ensure compliance with regulatory standards. By supporting multicloud deployments, Oracle Database provides the flexibility to operate in various cloud environments, facilitating seamless integration and innovation across different platforms.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 926

**User Satisfaction Scores:**

- **Application Performance:** 8.8/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.8/10)
- **Scalability:** 8.9/10 (Category avg: 8.9/10)
- **Provisioning:** 8.4/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Oracle](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle (827,868 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1028/ (199,301 employees on LinkedIn®)
- **Ownership:** NYSE:ORCL

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Software Developer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 62% Enterprise, 27% Mid-Market


#### Pros & Cons

**Pros:**

- Security (18 reviews)
- Performance (17 reviews)
- Ease of Use (16 reviews)
- Easy Integrations (13 reviews)
- Reliability (13 reviews)

**Cons:**

- Expensive (22 reviews)
- Complexity (13 reviews)
- Poor Usability (8 reviews)
- Difficult Learning (7 reviews)
- Learning Curve (7 reviews)

### 5. [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews)
  Amazon DynamoDB is a pioneering NoSQL, fully managed, serverless database with limitless scalability and single-digit millisecond latency performance enabling customers to develop modern, microservice-based applications through a simple API. Customers enjoy the benefits of DynamoDB’s fully-managed service including broad compliance standards, security integration with AWS Identity and Access Management and numerous disaster recovery services. With DynamoDB Global Tables, customers have a 99.999% highly available, multi-Region, multi-active database supporting local reads and writes for globally distributed users. DynamoDB provides cost management features such as scale-to-zero, Time to Live (TTL) for aging data out, and multiple pricing models including a free tier.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 498

**User Satisfaction Scores:**

- **Application Performance:** 9.0/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.7/10 (Category avg: 8.8/10)
- **Scalability:** 9.3/10 (Category avg: 8.9/10)
- **Provisioning:** 8.8/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,225,864 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 35% Enterprise, 34% Mid-Market


#### Pros & Cons

**Pros:**

- Scalability (11 reviews)
- Ease of Use (8 reviews)
- Cost Efficiency (5 reviews)
- Low Latency (5 reviews)
- Managed Services (5 reviews)

**Cons:**

- Expensive (9 reviews)
- Query Complexity (7 reviews)
- Complexity (5 reviews)
- Learning Curve (5 reviews)
- Cost Issues (3 reviews)

### 6. [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews)
  Amazon Aurora is a fully managed relational database service that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Compatible with MySQL and PostgreSQL, Aurora delivers up to five times the throughput of standard MySQL databases and up to three times that of standard PostgreSQL databases. It is designed for high availability, offering up to 99.99% availability within a single region and up to 99.999% across multiple regions. Aurora's architecture includes a distributed, fault-tolerant storage system that automatically scales up to 128 tebibytes, ensuring continuous data access and durability. Additionally, Aurora provides serverless configurations, allowing automatic scaling based on application needs, and integrates seamlessly with other AWS services for machine learning and analytics. Key Features and Functionality: - High Performance: Delivers up to five times the throughput of MySQL and three times that of PostgreSQL, enabling efficient handling of demanding workloads. - High Availability: Designed for up to 99.99% availability within a single region and up to 99.999% across multiple regions, ensuring continuous data access. - Scalability: Automatically scales storage up to 128 tebibytes and supports up to 15 read replicas for read-intensive applications. - Serverless Configuration: Offers Aurora Serverless, which automatically adjusts capacity based on application demand, eliminating the need for manual provisioning. - Machine Learning Integration: Integrates with Amazon SageMaker and Amazon Comprehend, allowing for in-database machine learning capabilities without data movement. - Security: Provides multiple layers of security, including network isolation, encryption at rest and in transit, and compliance with various industry standards. Primary Value and Solutions Provided: Amazon Aurora addresses the need for a high-performance, highly available, and scalable relational database service that is cost-effective and easy to manage. By offering compatibility with MySQL and PostgreSQL, it allows organizations to migrate existing applications without significant code changes. Aurora's automatic scaling and serverless options cater to applications with variable workloads, reducing operational overhead and costs. Its integration with AWS machine learning services enables real-time analytics and predictive capabilities directly within the database, enhancing application functionality. Overall, Aurora simplifies database management while delivering enterprise-grade performance and reliability.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 435

**User Satisfaction Scores:**

- **Application Performance:** 8.9/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.7/10 (Category avg: 8.8/10)
- **Scalability:** 9.1/10 (Category avg: 8.9/10)
- **Provisioning:** 8.7/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,225,864 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Who Uses This:** DevOps Engineer, Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 38% Small-Business, 34% Mid-Market


#### Pros & Cons

**Pros:**

- Scalability (14 reviews)
- Availability (12 reviews)
- Ease of Use (12 reviews)
- Performance (12 reviews)
- High Availability (10 reviews)

**Cons:**

- Expensive (20 reviews)
- AWS Dependency (7 reviews)
- Feature Limitations (6 reviews)
- Cost Issues (5 reviews)
- Learning Curve (5 reviews)

### 7. [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews)
  Cloud SQL is a fully-managed managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 353

**User Satisfaction Scores:**

- **Application Performance:** 9.2/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.2/10 (Category avg: 8.8/10)
- **Scalability:** 9.2/10 (Category avg: 8.9/10)
- **Provisioning:** 8.9/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google (31,910,461 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®)
- **Ownership:** NASDAQ:GOOG

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Data Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 41% Mid-Market, 33% Small-Business


#### Pros & Cons

**Pros:**

- Database Management (22 reviews)
- Integrations (21 reviews)
- Ease of Use (20 reviews)
- Easy Integrations (20 reviews)
- Scalability (19 reviews)

**Cons:**

- Expensive (17 reviews)
- Cost Concerns (7 reviews)
- Scaling Issues (6 reviews)
- Complex Pricing (5 reviews)
- Pricing Confusion (5 reviews)

### 8. [ScyllaDB](https://www.g2.com/products/scylladb/reviews)
  ScyllaDB is a specialty database for workloads that require predictable performance at scale. It’s adopted by organizations that require ultra-low latency, even at millions of features or operations per second, billions of embeddings, or petabytes of storage. ScyllaDB’s shard-per-core architecture taps the full power of modern infrastructure, translating to fewer nodes, less admin, and lower costs. Over 400 companies such as Disney+, Discord, Tripadvisor, Expedia, Zillow, Starbucks, and Comcast use ScyllaDB for their toughest database challenges.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 422

**User Satisfaction Scores:**

- **Application Performance:** 9.2/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.5/10 (Category avg: 8.8/10)
- **Scalability:** 9.5/10 (Category avg: 8.9/10)
- **Provisioning:** 8.8/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [ScyllaDB](https://www.g2.com/sellers/scylladb)
- **Company Website:** https://www.scylladb.com/
- **Year Founded:** 2013
- **HQ Location:** Palo Alto, US
- **Twitter:** @ScyllaDB (29,605 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/10201068 (222 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 41% Small-Business, 29% Mid-Market


#### Pros & Cons

**Pros:**

- Performance (57 reviews)
- Speed (49 reviews)
- Scalability (46 reviews)
- Low Latency (39 reviews)
- Ease of Use (14 reviews)

**Cons:**

- Learning Curve (21 reviews)
- Limited Features (13 reviews)
- Difficult Learning (9 reviews)
- Difficult Setup (9 reviews)
- Complexity (8 reviews)

### 9. [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews)
  MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 347

**User Satisfaction Scores:**

- **Application Performance:** 9.2/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.0/10 (Category avg: 8.8/10)
- **Scalability:** 9.2/10 (Category avg: 8.9/10)
- **Provisioning:** 8.8/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [MongoDB](https://www.g2.com/sellers/mongodb)
- **Year Founded:** 2007
- **HQ Location:** New York
- **Twitter:** @MongoDB (503,159 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/783611/ (7,665 employees on LinkedIn®)
- **Ownership:** NASDAQ: MDB

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 57% Small-Business, 25% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (8 reviews)
- User Interface (7 reviews)
- Features (6 reviews)
- Scalability (5 reviews)
- Reliability (4 reviews)

**Cons:**

- Expensive Pricing (3 reviews)
- Unclear Pricing (3 reviews)
- Expensive (2 reviews)
- High Memory Usage (2 reviews)
- Latency Issues (2 reviews)

### 10. [Azure SQL Database](https://www.g2.com/products/azure-sql-database/reviews)
  Azure SQL Database is a fully managed, intelligent relational database service built on the Microsoft SQL Server engine, designed to support modern cloud applications. It offers scalability, high availability, and robust security features, enabling developers to build and maintain applications without the complexities of infrastructure management. Key Features and Functionality: - Hyperscale Storage: Rapidly scale storage resources to meet demand, supporting large databases with up to 100 TB capacity. - Serverless Compute: Automatically adjust compute resources based on workload needs, optimizing performance and cost. - Built-in Intelligence: Utilize AI-driven features for performance tuning, threat detection, and advanced security measures. - High Availability: Ensure business continuity with automatic backups, geo-replication, and a 99.99% uptime SLA. - Advanced Security: Protect data with multi-layered security, including encryption, access controls, and compliance with over 100 certifications. Primary Value and Solutions Provided: Azure SQL Database simplifies database management by automating routine tasks such as patching, backups, and monitoring, allowing developers to focus on application development. Its scalability and performance capabilities support applications of varying sizes, from small web apps to large enterprise solutions. The integration with Azure services and support for AI and machine learning workloads enable the creation of intelligent applications. Additionally, its comprehensive security and compliance features ensure data protection and regulatory adherence, making it a reliable choice for businesses seeking a robust cloud-based database solution.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 229

**User Satisfaction Scores:**

- **Application Performance:** 8.9/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.8/10 (Category avg: 8.8/10)
- **Scalability:** 9.1/10 (Category avg: 8.9/10)
- **Provisioning:** 8.7/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,114,353 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®)
- **Ownership:** MSFT

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 40% Enterprise, 33% Mid-Market


#### Pros & Cons

**Pros:**

- Scalability (26 reviews)
- Integrations (16 reviews)
- Security (13 reviews)
- Ease of Use (12 reviews)
- Easy Integrations (12 reviews)

**Cons:**

- Expensive (25 reviews)
- Complexity Issues (7 reviews)
- Complexity (6 reviews)
- Feature Limitations (6 reviews)
- Limited Database Support (6 reviews)

### 11. [Boost.space](https://www.g2.com/products/boost-space/reviews)
  Boost.space is the #1 AI-Ready Data Sync platform on G2—recognized with over 100 customer-voted badges. ⭐️ Today's enterprises are investing heavily in AI, but most initiatives fail. Why? Because AI is "stateless"—it has no memory—and it's running on chaotic data fragmented across hundreds of applications. This data chaos costs companies an average of $15 million annually and wastes nearly 12 hours per employee every week.   Boost.space solves this foundational problem by creating a new category of enterprise infrastructure: the AI Memory Layer. We are not just another application; we are the persistent, unified memory that your entire AI and automation ecosystem needs to function intelligently. Our platform connects to over 2,400 apps to dismantle data silos, creating a single source of truth (SSOT) for all your business data. But unlike passive data warehouses, Boost.space is an active, read-write memory. Our real-time, three-way synchronization engine allows AI agents to not only read unified data but also act on it by writing changes back to your operational tools. At the heart of this is our Model Context Protocol (MCP), an "AI-Ready USB-C Port" for your enterprise that allows you to prompt your business in natural language. Whether you're building an AI-Ready PIM for e-commerce or an AI-Ready CDP for marketing, Boost.space provides the essential foundation, trusted by leaders like ŠKODA to make their data AI-ready.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 327

**User Satisfaction Scores:**

- **Application Performance:** 8.9/10 (Category avg: 8.9/10)
- **Ease of Use:** 7.3/10 (Category avg: 8.8/10)
- **Scalability:** 8.9/10 (Category avg: 8.9/10)
- **Provisioning:** 8.9/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Boost.space s.r.o.](https://www.g2.com/sellers/boost-space-s-r-o)
- **Year Founded:** 2017
- **HQ Location:** Prague, CZ
- **Twitter:** @boostspace (80 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/boost-space/?originalSubdomain=cz (43 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** CEO, Founder
  - **Top Industries:** Marketing and Advertising, Consulting
  - **Company Size:** 99% Small-Business, 1% Mid-Market


#### Pros & Cons

**Pros:**

- Integrations (221 reviews)
- Automation (211 reviews)
- Easy Integrations (163 reviews)
- Features (150 reviews)
- Easy Integration (135 reviews)

**Cons:**

- Learning Curve (180 reviews)
- Steep Learning Curve (153 reviews)
- Learning Difficulty (65 reviews)
- Complex Setup (45 reviews)
- Beginner Difficulty (42 reviews)

### 12. [Amazon Athena](https://www.g2.com/products/amazon-athena/reviews)
  Amazon Athena is a serverless, interactive query service that enables users to analyze large datasets directly in Amazon S3 using standard SQL. With no infrastructure to manage, Athena allows for quick, ad-hoc querying without the need for complex ETL processes. It automatically scales to execute queries in parallel, delivering fast results even for complex queries and large datasets. Key Features and Functionality: - Serverless Architecture: Athena requires no server management, automatically handling infrastructure scaling and maintenance. - Standard SQL Support: Users can run ANSI SQL queries, facilitating easy data analysis without learning new languages. - Broad Data Format Compatibility: Supports various data formats, including CSV, JSON, ORC, Avro, and Parquet, allowing flexibility in data storage and analysis. - Integration with AWS Glue: Seamlessly integrates with AWS Glue Data Catalog for metadata management, enabling schema discovery and versioning. - Security and Compliance: Provides robust security features, including data encryption at rest and in transit, and integrates with AWS Identity and Access Management (IAM) for fine-grained access control. Primary Value and User Solutions: Amazon Athena simplifies the process of analyzing vast amounts of data stored in Amazon S3 by eliminating the need for complex infrastructure setup and management. Its serverless nature and support for standard SQL make it accessible to users with varying levels of technical expertise. By enabling quick, cost-effective querying of large datasets, Athena addresses challenges related to data analysis speed, scalability, and operational overhead, empowering organizations to derive insights efficiently.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 160

**User Satisfaction Scores:**

- **Application Performance:** 8.9/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.9/10 (Category avg: 8.8/10)
- **Scalability:** 8.8/10 (Category avg: 8.9/10)
- **Provisioning:** 8.9/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,225,864 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer, Senior Data Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 50% Enterprise, 27% Mid-Market


#### Pros & Cons

**Pros:**

- Analytics (1 reviews)
- Big Data Handling (1 reviews)
- Data Analysis (1 reviews)
- Ease of Use (1 reviews)
- Features (1 reviews)

**Cons:**

- Function Limitations (1 reviews)
- Limited SQL (1 reviews)
- Poor Usability (1 reviews)

### 13. [SAP Business Technology Platform](https://www.g2.com/products/sap-business-technology-platform/reviews)
  SAP Business Technology Platform (SAP BTP) is a multi-cloud platform-as-a-Service optimized to work with SAP solutions. It is a unified platform of technologies SAP uses for its own innovation, to extend and integrate business applications, and to infuse artificial intelligence and context-aware business data. SAP BTP brings together intelligent enterprise applications with database and data management, analytics, integration and extension capabilities into one platform for both cloud and hybrid environments, including hundreds of prebuilt business content and integrations for faster time-to-value. It can be used to create personalized experiences across business processes, build applications, analytics, and integrations faster, and to run mission-critical innovation confidently on major cloud providers' infrastructure fully managed by SAP. SAP BTP offers a range of capabilities and services that: - offers fit-for-purpose tools and services that are optimized for SAP applications along with composable bespoke business processes - provides an open environment with pre-built connectors to 3rd party apps and the availability to run on leading hyperscaler IaaS Clouds (AWS, Azure, GCP, etc.) connects AI & ML into business processes to enhance intelligence, automation, and productivity - delivers security and improved insights by keeping contextual data close to core business processes and applications - enables future-proofing by keeping core systems clean, greatly reducing technical debt to take advantage of cloud economics


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 390

**User Satisfaction Scores:**

- **Application Performance:** 8.7/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.2/10 (Category avg: 8.8/10)
- **Scalability:** 8.6/10 (Category avg: 8.9/10)
- **Provisioning:** 8.7/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Company Website:** https://www.sap.com/
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP (297,246 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/sap/ (141,341 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, System Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 39% Enterprise, 36% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (131 reviews)
- Integrations (127 reviews)
- Easy Integrations (115 reviews)
- Features (102 reviews)
- Data Management (77 reviews)

**Cons:**

- Learning Curve (96 reviews)
- Complexity (87 reviews)
- Expensive (69 reviews)
- Learning Difficulty (67 reviews)
- Difficult Learning (57 reviews)

### 14. [Kintone](https://www.g2.com/products/kintone/reviews)
  Kintone is a no-code business application platform designed to empower non-technical users to create robust applications, workflows, and databases tailored to their teams and organizations. By utilizing a user-friendly interface that emphasizes clicks over coding, Kintone enables individuals to develop applications that streamline business processes, enhance collaboration on projects and tasks, and facilitate the reporting of complex data with ease. This platform is particularly beneficial for business users who require immediate solutions without the need for extensive programming knowledge. Kintone offers a wide array of pre-built applications that cater to various use cases, including customer relationship management (CRM), project management, inventory management, and more. These templates allow users to hit the ground running and adapt the applications to their specific needs, significantly reducing the time and effort required to implement new systems. Kintone's target audience includes small to medium-sized businesses, project managers, team leaders, and any professional looking to optimize their workflow without relying on IT departments or external developers. The no-code approach democratizes app development, allowing users from diverse backgrounds to participate in creating solutions that address their unique challenges. This inclusivity fosters a culture of innovation within organizations, as team members can contribute ideas and improvements based on their firsthand experiences. Key features of Kintone include customizable dashboards, automated workflows, and real-time collaboration tools. Users can design dashboards that provide insights into their projects and data at a glance, while automated workflows help eliminate repetitive tasks, ensuring that team members can focus on higher-value activities. The platform also supports real-time collaboration, enabling teams to work together seamlessly, share updates, and track progress on projects without the need for constant meetings or email exchanges. Kintone stands out in the no-code platform category by offering a flexible and scalable solution that grows with organizations. Its ability to integrate with other tools and services further enhances its functionality, allowing users to create a comprehensive ecosystem that meets their evolving business needs. By providing a powerful yet accessible platform for app development, Kintone empowers users to take control of their workflows and drive efficiency within their teams.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 262

**User Satisfaction Scores:**

- **Application Performance:** 9.1/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.9/10 (Category avg: 8.8/10)
- **Scalability:** 9.1/10 (Category avg: 8.9/10)
- **Provisioning:** 9.2/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Kintone](https://www.g2.com/sellers/kintone)
- **Company Website:** https://www.kintone.com/
- **Year Founded:** 1997
- **HQ Location:** San Francisco, CA
- **Twitter:** @kintone (2,107 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/136971/ (82 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** CEO, Executive Director
  - **Top Industries:** Non-Profit Organization Management, Information Technology and Services
  - **Company Size:** 73% Small-Business, 22% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (31 reviews)
- Customer Support (28 reviews)
- Features (21 reviews)
- Customization (17 reviews)
- Customization Options (15 reviews)

**Cons:**

- Missing Features (12 reviews)
- Poor Interface Design (7 reviews)
- Limited Customization (6 reviews)
- Limited Features (6 reviews)
- Poor Usability (6 reviews)

### 15. [IBM Db2](https://www.g2.com/products/ibm-db2/reviews)
  Built to run the world’s mission-critical workloads. Designed by the world’s leading database experts, IBM Db2 empowers developers, enterprise architects, and data engineers to run low-latency transactions and real-time analytics equipped for the most demanding workloads. From microservices to AI workloads, Db2 is the tested, resilient, and hybrid database providing the extreme availability, built-in refined security, effortless scalability, and intelligent automation for systems that run the world.


  **Average Rating:** 4.1/5.0
  **Total Reviews:** 598

**User Satisfaction Scores:**

- **Application Performance:** 8.5/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.0/10 (Category avg: 8.8/10)
- **Scalability:** 8.9/10 (Category avg: 8.9/10)
- **Provisioning:** 8.6/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, NY
- **Twitter:** @IBM (709,390 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (324,553 employees on LinkedIn®)
- **Ownership:** SWX:IBM

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Information Technology and Services, Banking
  - **Company Size:** 66% Enterprise, 21% Mid-Market


#### Pros & Cons

**Pros:**

- Performance (14 reviews)
- Reliability (13 reviews)
- Scalability (11 reviews)
- Security (11 reviews)
- Ease of Use (10 reviews)

**Cons:**

- Complex Setup (4 reviews)
- Expensive (4 reviews)
- Learning Curve (4 reviews)
- Complexity (3 reviews)
- Difficult Setup (3 reviews)

### 16. [Amazon Neptune](https://www.g2.com/products/amazon-neptune/reviews)
  Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Amazon Neptune is highly available, with read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across Availability Zones. Neptune is secure with support for encryption at rest. Neptune is fully-managed, so you no longer need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, or backups.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 30

**User Satisfaction Scores:**

- **Application Performance:** 9.1/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.1/10 (Category avg: 8.8/10)
- **Scalability:** 8.8/10 (Category avg: 8.9/10)
- **Provisioning:** 9.2/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,225,864 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Top Industries:** Computer Software
  - **Company Size:** 67% Small-Business, 23% Mid-Market


### 17. [Amazon DocumentDB](https://www.g2.com/products/amazon-documentdb/reviews)
  Amazon DocumentDB (with MongoDB compatibility) is a database service that is purpose-built for JSON data management at scale, fully managed and integrated with AWS, and enterprise-ready with high durability. Amazon DocumentDB is designed from the ground-up to give you the scalability and durability you need when operating mission-critical MongoDB workloads. In Amazon DocumentDB, storage scales automatically up to 64TiB without any impact to your application. It supports millions of requests per second with up to 15 low latency read replicas in minutes, without any application downtime, regardless of the size of your data. Amazon DocumentDB now supports Global Clusters. Global Clusters is a new feature that provides disaster recovery from region-wide outages and enables low-latency global reads by allowing reads from the nearest Amazon DocumentDB cluster. Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs). You can use AWS Database Migration Service (DMS) for free (for six months) to easily migrate your self-managed MongoDB databases to Amazon DocumentDB with virtually no downtime.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 42

**User Satisfaction Scores:**

- **Application Performance:** 9.3/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.6/10 (Category avg: 8.8/10)
- **Scalability:** 9.4/10 (Category avg: 8.9/10)
- **Provisioning:** 9.2/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,225,864 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 39% Small-Business, 34% Enterprise


#### Pros & Cons

**Pros:**

- Cloud Computing (1 reviews)
- Easy Integrations (1 reviews)
- Integrations (1 reviews)
- Reliability (1 reviews)

**Cons:**

- Complexity (1 reviews)
- Dependency Issues (1 reviews)
- Expensive (1 reviews)

### 18. [TiDB](https://www.g2.com/products/tidb/reviews)
  TiDB is an advanced open-source, distributed SQL database solution designed to help data-intensive businesses manage and scale their data operations seamlessly. Developed by PingCAP, TiDB combines the scalability of NoSQL databases with the full functionality of traditional relational database management systems (RDBMS). This unique architecture allows organizations to build petabyte-scale clusters while efficiently handling millions of tables, numerous concurrent connections, and frequent schema changes without experiencing downtime. The target audience for TiDB includes large enterprises, software-as-a-service (SaaS) providers, and digital-native companies that require robust data management capabilities. These organizations often face challenges related to data scalability, operational complexity, and the need for high availability. TiDB addresses these challenges by offering a solution that supports a wide range of workloads, including transactional, analytical, operational, and artificial intelligence (AI) tasks. Its multi-tenant architecture further enhances operational agility, allowing businesses to adapt to changing demands quickly. Key features of TiDB include seamless scalability, which enables organizations to expand their database infrastructure effortlessly as their data needs grow. The platform's MySQL compatibility ensures that developers can easily integrate TiDB into existing workflows and leverage familiar tools and platforms. Additionally, TiDB supports online DDL (Data Definition Language) operations, allowing for worry-free schema changes that do not disrupt ongoing processes. This operational flexibility is critical for businesses that require constant uptime and reliability. TiDB also prioritizes data security and availability, boasting built-in ACID (Atomicity, Consistency, Isolation, Durability) compliance and a remarkable 99.99% availability rate. The database adheres to various regulatory standards, including GDPR, SOC, HIPAA, and PCI, ensuring that organizations can trust their data management practices. Notable companies such as Databricks, Pinterest, and Plaid have adopted TiDB, allowing them to concentrate on growth and innovation rather than the complexities of data infrastructure management. With its AI-driven innovations and multi-cloud capabilities, TiDB stands out as a powerful solution for businesses looking to enhance their data management strategies. By providing unmatched agility, resilience, and security, TiDB empowers organizations to unlock their full potential in an increasingly data-driven world. For more information, please visit TiDB.io.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 67

**User Satisfaction Scores:**

- **Application Performance:** 8.5/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.8/10)
- **Scalability:** 8.5/10 (Category avg: 8.9/10)
- **Provisioning:** 8.5/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [PingCAP](https://www.g2.com/sellers/pingcap)
- **Company Website:** https://tidb.io
- **Year Founded:** 2015
- **HQ Location:** Sunnyvale 
- **Twitter:** @PingCAP (7,215 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/pingcap (495 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** DBA, Senior Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 31% Enterprise, 27% Small-Business


#### Pros & Cons

**Pros:**

- Scalability (52 reviews)
- Ease of Use (32 reviews)
- Database Management (29 reviews)
- Compatibility (26 reviews)
- Performance (25 reviews)

**Cons:**

- Learning Curve (22 reviews)
- Performance Issues (15 reviews)
- Slow Performance (13 reviews)
- Difficult Learning (11 reviews)
- Poor Documentation (11 reviews)

### 19. [Amazon MemoryDB](https://www.g2.com/products/amazon-memorydb/reviews)
  Amazon MemoryDB for Redis is a Redis-compatible, durable, in-memory database that delivers ultra-fast performance and Multi-AZ durability. With Amazon MemoryDB for Redis, you only pay for what you use with no minimum fee. A node is the smallest building block of a MemoryDB cluster. Each node supports varying amounts of computation and memory capacity, and you can select a node type based on your needs. You are charged based on three components: on-demand instance hours per node, volume of data written to your cluster, and snapshot storage that you use.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 22

**User Satisfaction Scores:**

- **Application Performance:** 9.4/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.1/10 (Category avg: 8.8/10)
- **Scalability:** 9.0/10 (Category avg: 8.9/10)
- **Provisioning:** 8.9/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,225,864 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 50% Enterprise, 32% Small-Business


### 20. [Google Cloud Firestore](https://www.g2.com/products/google-cloud-firestore/reviews)
  Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 96

**User Satisfaction Scores:**

- **Application Performance:** 9.1/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.7/10 (Category avg: 8.8/10)
- **Scalability:** 9.2/10 (Category avg: 8.9/10)
- **Provisioning:** 9.1/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google (31,910,461 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®)
- **Ownership:** NASDAQ:GOOG

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 53% Small-Business, 30% Mid-Market


#### Pros & Cons

**Pros:**

- API Integration (1 reviews)
- Features (1 reviews)
- Flexibility (1 reviews)
- Innovation (1 reviews)
- Integrations (1 reviews)

**Cons:**

- Expensive (1 reviews)
- Unclear Pricing (1 reviews)

### 21. [SimpleDB](https://www.g2.com/products/simpledb/reviews)
  SimpleDB is a highly available and flexible non-relational data store that offloads the work of database administration.


  **Average Rating:** 4.1/5.0
  **Total Reviews:** 49

**User Satisfaction Scores:**

- **Application Performance:** 8.0/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.5/10 (Category avg: 8.8/10)
- **Scalability:** 8.3/10 (Category avg: 8.9/10)
- **Provisioning:** 7.8/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,225,864 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 39% Enterprise, 37% Small-Business


#### Pros & Cons

**Pros:**

- Cloud Storage (1 reviews)
- Customer Support (1 reviews)
- Ease of Use (1 reviews)
- Features (1 reviews)
- Global Access (1 reviews)

**Cons:**

- Limited Free Access (1 reviews)

### 22. [CockroachDB](https://www.g2.com/products/cockroachdb/reviews)
  Overview Cockroach Labs is the creator of CockroachDB, the cloud-native, resilient, distributed SQL database enterprises worldwide trust to run mission-critical AI and other applications that scale fast, avert and survive disaster, and thrive everywhere. It runs on the Big 3 clouds, on prem, and in hybrid configurations powering Fortune 500, Forbes Global 2000, and Inc. 5000 brands, and game-changing innovators, including OpenAI, CoreWeave, Adobe, NETFLIX, Booking.com, DoorDash, FANDUEL, Cisco Systems, P&G, UiPath, FORTINET, Roblox, EA, BestBuy, SpaceX, NVIDIA, The VA, Squarespace, The Home Depot, and Hewlett Packard Enterprise. Cockroach Labs has customers in 40+ countries across all world regions, 25+ verticals, and 50+ Use Cases. Cockroach Labs operates its own ISV Partner Ecosystem powering Payments, Identity Management (IDM/IAM), Banking & Wallet, Trading, and other high-demand use cases. Cockroach Labs is an AWS Partner of the Year finalist and has achieved AWS Competency Partner certifications in Data & Analytics and Financial Services (FSI). CockroachDB pricing is available at https://www.cockroachlabs.com/pricing/ Vector, RAG, and GenAI Workloads CockroachDB includes native support for the VECTOR data type and pgvector API compatibility, enabling storage and retrieval of high-dimensional embeddings. These vector capabilities are critical for Retrieval-Augmented Generation (RAG) pipelines and GenAI workloads that rely on similarity search and contextual embeddings. By supporting distributed vector indexing within the database itself, CockroachDB removes the need for external vector stores and allows AI applications to operate against a single, consistent data layer. C-SPANN Distributed Indexing At the core of CockroachDB’s vector search capabilities is the C-SPANN indexing engine. C-SPANN provides scalable approximate nearest neighbor (ANN) search across billions of vectors while supporting incremental updates, real-time writes, and partitioned indexing. This ensures low-latency retrieval in the tens of milliseconds, even under high query throughput. The algorithm eliminates central coordinators, avoids large in-memory structures, and leverages CockroachDB’s sharding and replication to deliver scale, resilience, and global consistency. Machine Learning and Apache Spark Integration CockroachDB integrates with modern ML workflows by supporting embeddings generated through frameworks such as AWS Bedrock and Google Vertex AI. Its compatibility with the PostgreSQL JDBC driver allows seamless integration with Apache Spark, enabling distributed processing and advanced analytics on CockroachDB data. PostgreSQL Compatibility and JSON Support CockroachDB speaks the PostgreSQL wire protocol, so applications, drivers, and tools designed to work with Postgres can connect to CockroachDB without modification, enabling seamless use of familiar SQL features and integration with the wider Postgres ecosystem. This includes support for advanced data types such as JSON and JSONB, which allow developers to store and query semi-structured data natively. Geospatial and Graph Capabilities CockroachDB also provides first-class geospatial data support, allowing developers to store, query, and analyze spatial data directly in SQL. For graph workloads, CockroachDB employs JSON flexibility to represent relationships and delivers query capabilities for graph-like traversals. This combination enables hybrid applications that merge relational, geospatial, document, and graph data within a single platform. Analytics, BI, and Integration To support high-performance analytics and BI, CockroachDB supports core analytical use cases and functions including Enterprise Data Warehouse, Lakehouse, and Event Analytics, and offers materialized views for precomputing complex joins and aggregations. Its PostgreSQL wire compatibility ensures direct connectivity with all relevant BI and analytics apps and tools including Amazon Redshift, Snowflake, Kafka, Google BigQuery, Salesforce Tableau, Databricks, Cognos, Looker, Grafana, Power BI, Qlik Sense, SAP, SAS, Sisense, and TIBCO Spotfire. Data scientists can interact with CockroachDB through Jupyter Notebooks, querying structured and semi-structured data and loading results for analysis. Change data capture (CDC) streams provide real-time updates to analytics pipelines and feature stores, keeping downstream systems fresh and reliable. Columnar vectorized execution accelerates query processing, optimizes transactional throughput, and minimizes latency for demanding distributed workloads. MOLT AI-Powered Migration Organizations often know their data infrastructure is not supporting the business, but find it too painful to change. CockroachDB’s MOLT (Migrate Off Legacy Technology) is designed to enable safe, minimal-downtime database migrations from legacy systems to CockroachDB. MOLT Fetch supports data migration from PostgreSQL, MySQL, SQL Server, and Oracle, with SQL Server and DB2 coming soon. CockroachDB also has a portfolio of data replication platform integrations including Precisely, Striim, Qlik, Confluent, IBM, etc. Together, these capabilities ensure that CockroachDB supports both operational and analytical workloads, bridging traditional SQL applications with emerging Gen AI and ML use cases.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 27

**User Satisfaction Scores:**

- **Application Performance:** 8.5/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.9/10 (Category avg: 8.8/10)
- **Scalability:** 8.7/10 (Category avg: 8.9/10)
- **Provisioning:** 8.3/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Cockroach Labs](https://www.g2.com/sellers/cockroach-labs)
- **Year Founded:** 2015
- **HQ Location:** New York, NY
- **Twitter:** @CockroachDB (13,532 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/cockroach-labs/ (720 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 55% Small-Business, 34% Mid-Market


#### Pros & Cons

**Pros:**

- Database Management (4 reviews)
- Ease of Use (4 reviews)
- Performance (4 reviews)
- Scalability (4 reviews)
- Big Data Handling (3 reviews)

**Cons:**

- Learning Curve (4 reviews)
- Complexity (2 reviews)
- Difficult Learning (2 reviews)
- Feature Limitations (2 reviews)
- Limitations (2 reviews)

### 23. [Database as a Service (DBaaS)](https://www.g2.com/products/database-as-a-service-dbaas/reviews)
  Azure Database for MySQL is a fully managed, open-source relational database service designed to simplify the deployment, management, and scaling of MySQL databases in the cloud. By leveraging the latest MySQL Community Edition, it offers developers a seamless experience for building and maintaining applications without the overhead of infrastructure management. This service ensures high availability, robust security, and cost-effectiveness, allowing organizations to focus on innovation and application development. Key Features and Functionality: - Fully Managed Service: Automates routine database tasks such as maintenance, updates, and backups, reducing administrative overhead. - High Availability: Provides up to a 99.99% service-level agreement (SLA) with options for same-zone or zone-redundant configurations, ensuring business continuity. - Scalability: Allows independent scaling of compute, memory, and storage resources to accommodate varying workload demands without downtime. - Performance Optimization: Offers intelligent performance recommendations and monitoring tools to enhance query speed and overall database efficiency. - Security and Compliance: Incorporates enterprise-grade security features, including data encryption, Azure Entra ID integration, and compliance with over 100 certifications. - Azure Ecosystem Integration: Seamlessly integrates with Azure services like App Service, Kubernetes Service (AKS), and AI Services, facilitating faster application development and deployment. Primary Value and User Solutions: Azure Database for MySQL addresses the challenges of managing on-premises databases by offering a cloud-based solution that reduces total cost of ownership by up to 48%. It eliminates the complexities associated with database maintenance, allowing developers to concentrate on building resilient, mission-critical applications. The service's scalability ensures that applications can handle varying workloads efficiently, while its robust security measures protect sensitive data. Integration with the Azure ecosystem accelerates development cycles, enabling faster time-to-market for applications.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 43

**User Satisfaction Scores:**

- **Application Performance:** 9.2/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.8/10 (Category avg: 8.8/10)
- **Scalability:** 9.4/10 (Category avg: 8.9/10)
- **Provisioning:** 9.1/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,114,353 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®)
- **Ownership:** MSFT

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 39% Small-Business, 34% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (5 reviews)
- Azure Services (2 reviews)
- Database Management (2 reviews)
- Features (2 reviews)
- Integrations (2 reviews)

**Cons:**

- Expensive (3 reviews)
- Cost Issues (2 reviews)
- Complexity (1 reviews)
- Complexity Issues (1 reviews)
- Cost Concerns (1 reviews)

### 24. [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews)
  Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables developers to build AI-powered applications and agents by providing seamless integration with AI services, allowing for efficient storage and querying of both NoSQL data and vectors. With its schema-agnostic JSON document model, Azure Cosmos DB simplifies the development process by automatically indexing all data, eliminating the need for manual schema or index management. The service offers comprehensive Service Level Agreements (SLAs), ensuring less than 10-millisecond read and write latencies and 99.999% availability, making it a reliable choice for applications requiring high performance and global reach. Key Features and Functionality: - Global Distribution: Azure Cosmos DB allows for turnkey global distribution, enabling data to be replicated across multiple regions worldwide, providing high availability and low latency access to data. - Elastic Scalability: The service offers elastic scaling of throughput and storage, allowing developers to scale resources up or down based on demand without downtime. - Multi-Model Support: It natively supports multiple data models, including document, key-value, graph, and column-family, catering to diverse application needs. - AI Integration: Built-in vector search capabilities simplify the development of AI applications by efficiently storing and querying vectors alongside NoSQL data. - Automatic Indexing: All data is automatically indexed, facilitating fast and efficient queries without the need for manual index management. - Comprehensive SLAs: Azure Cosmos DB provides industry-leading SLAs covering throughput, latency, availability, and consistency, ensuring predictable performance. Primary Value and Solutions Provided: Azure Cosmos DB addresses the challenges of building and managing globally distributed applications by offering a fully managed database service that ensures high availability, low latency, and elastic scalability. Its integration with AI services and support for multiple data models empower developers to create intelligent, responsive applications without the complexity of managing infrastructure. By automatically handling data distribution, scaling, and indexing, Azure Cosmos DB allows organizations to focus on innovation and delivering value to their users, making it an ideal solution for applications requiring real-time data access and global reach.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 59

**User Satisfaction Scores:**

- **Application Performance:** 8.6/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.2/10 (Category avg: 8.8/10)
- **Scalability:** 8.9/10 (Category avg: 8.9/10)
- **Provisioning:** 8.4/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,114,353 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®)
- **Ownership:** MSFT

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 44% Enterprise, 28% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (4 reviews)
- Features (3 reviews)
- Integrations (3 reviews)
- Scalability (3 reviews)
- Customization (2 reviews)

**Cons:**

- Expensive (3 reviews)
- Cost Issues (2 reviews)
- Complexity Issues (1 reviews)
- Complex Usage (1 reviews)
- Cost Increase (1 reviews)

### 25. [E2E Cloud](https://www.g2.com/products/e2e-cloud/reviews)
  E2E Cloud, Meity Empanelled and NSE-Listed AI-First Hyperscaler [NSE:E2E] is a cloud service provider that helps users deploy, manage, and scale high-performance computing resources, particularly for AI/ML applications and data-intensive workloads. It is designed to serve startups, developers, data scientists, enterprises, and public sector organisations with cost-effective and scalable cloud solutions.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 130

**User Satisfaction Scores:**

- **Application Performance:** 9.3/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.2/10 (Category avg: 8.8/10)
- **Scalability:** 9.5/10 (Category avg: 8.9/10)
- **Provisioning:** 9.0/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [E2E Networks](https://www.g2.com/sellers/e2e-networks)
- **Year Founded:** 2009
- **HQ Location:** New Delhi, IN
- **Twitter:** @e2enetworks (3,401 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/e2enetworks/ (256 employees on LinkedIn®)
- **Ownership:** E2E (NSE)

**Reviewer Demographics:**
  - **Who Uses This:** Founder, Director
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 73% Small-Business, 26% Mid-Market


#### Pros & Cons

**Pros:**

- Cost-Effective (31 reviews)
- Customer Support (31 reviews)
- Affordable (27 reviews)
- Ease of Use (21 reviews)
- Services (21 reviews)

**Cons:**

- Poor Customer Support (7 reviews)
- Interface Issues (6 reviews)
- Resource Limitations (6 reviews)
- Poor Interface Design (5 reviews)
- Poor UI (5 reviews)



## Parent Category

[Database Software](https://www.g2.com/categories/database-software)



## Related Categories

- [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)



---

## Buyer Guide

### 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.