Best Enterprise Database as a Service (DBaaS) Providers

How Many Database as a Service (DBaaS) Providers Products Does G2 Track?

Total Products under this Category: 139

Category Stats (Nov 2026)

  • Average Rating: 4.43/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Aiven for Apache Cassandra (+3.71%) - Among all products in this category, Aiven for Apache Cassandra recorded the largest rating increase compared to last month

Last updated: November 05, 2026

How Does G2 Rank Database as a Service (DBaaS) Providers Products?

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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.

G2 Grid® for Database as a Service (DBaaS) Providers

G2 Grid® for Database as a Service (DBaaS) Providers plotting products by satisfaction and market presence

Highlighted products: Amazon Relational Database Service (RDS), Databricks, SAP HANA Cloud, Oracle Database, Amazon DynamoDB, Amazon Athena, Azure SQL Database, and Amazon Aurora.

Underlying data: [Grid® JSON](https://www.g2.com/categories/database-as-a-service-dbaas/grids.json?focus%5B%5D=amazon-relational-database-service-rds&focus%5B%5D=databricks&focus%5B%5D=sap-hana-cloud-2025-10-01&focus%5B%5D=oracle-database&focus%5B%5D=amazon-web-services-aws-amazon-dynamodb&focus%5B%5D=amazon-athena&focus%5B%5D=azure-sql-database&focus%5B%5D=amazon-aurora&segment=enterprise)

Amazon Relational Database Service (RDS)

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: 865

How Do G2 Users Rate Amazon Relational Database Service (RDS)?

  • 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: 9.0/10)
  • Provisioning: 8.8/10 (Category avg: 8.8/10)

Who Is the Company Behind Amazon Relational Database Service (RDS)?

Who Uses This Product?

  • Who Uses This: DevOps Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Medium, 34% Large

What Do G2 Reviewers Say About Amazon Relational Database Service (RDS)?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use of Amazon RDS, appreciating its seamless integration and automatic management features.
  • Users value the seamless scalability of Amazon RDS, enabling efficient management of expanding datasets and microservices.
  • Users highlight Amazon RDS's strong security, which simplifies operations while ensuring data protection and reliability.
  • Users appreciate the setup ease of Amazon RDS, enabling swift, hassle-free deployment for their applications.
  • Users value the automated backups and maintenance of RDS, enhancing operational efficiency and minimizing errors.
Cons
  • Users find the costs quite high, especially with unused instances leading to significant charges over time.
  • Users note that cost issues arise with Amazon RDS, especially for larger databases and high availability configurations.
  • Users express frustration with the limited control in RDS, impacting custom monitoring and configuration capabilities.
  • Users find the complexity of understanding AWS services challenging, particularly regarding naming conventions and pricing structures.
  • Users find Amazon RDS has very limited customization options due to its managed service nature, restricting advanced configurations.

What Are Recent G2 Reviews of Amazon Relational Database Service (RDS)?

What Are G2 Users Discussing About Amazon Relational Database Service (RDS)?

Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value.

Average Rating: 4.6/5.0

Total Reviews: 1,376

How Do G2 Users Rate Databricks?

  • Ease of Use: 8.8/10 (Category avg: 8.8/10)

Who Is the Company Behind Databricks?

  • Seller: Databricks Inc.
  • Company Website:
  • Year Founded: 2013
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    14,336 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Senior Data Engineer
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 47% Large, 39% Medium

What Do G2 Reviewers Say About Databricks?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the seamless integration of big data and AI in Databricks, enhancing collaboration and performance.
  • Users appreciate the ease of use of Databricks, valuing its seamless integration and fast performance.
  • Users appreciate the seamless integration of Databricks with big data processing and AI, enhancing collaboration and performance.
  • Users value the seamless collaboration features of Databricks, enhancing teamwork and data analysis across departments.
  • Users appreciate the seamless integration of big data processing and AI in Databricks, enhancing collaboration and efficiency.
Cons
  • Users find the learning curve steep with Databricks, requiring time and skills to adapt effectively.
  • Users note that the cost can scale quickly, making cost monitoring and control a significant challenge.
  • Users find the steep learning curve of Databricks challenging, requiring considerable effort to adapt for business use cases.
  • Users find the inadequate ingestion options for non-standard data sources a limitation in Databricks' functionality.
  • Users find Databricks' complexity challenging, especially for beginners and smaller teams trying to fine-tune the system.

What Are Recent G2 Reviews of Databricks?

What Are G2 Users Discussing About Databricks?

SAP HANA Cloud

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: 522

How Do G2 Users Rate SAP HANA Cloud?

  • Application Performance: 8.7/10 (Category avg: 8.9/10)
  • Ease of Use: 8.2/10 (Category avg: 8.8/10)
  • Scalability: 8.7/10 (Category avg: 9.0/10)
  • Provisioning: 8.5/10 (Category avg: 8.8/10)

Who Is the Company Behind SAP HANA Cloud?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP
  • Phone: +1 (800) 872-1727

Who Uses This Product?

  • Who Uses This: Consultant, SAP Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 61% Large, 26% Medium

What Do G2 Reviewers Say About SAP HANA Cloud?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of SAP HANA Cloud, benefiting from its seamless integration and efficient data management.
  • Users appreciate the easy integrations of SAP HANA Cloud, enhancing efficiency in reporting and decision-making across modules.
  • Users value the seamless integrations of SAP HANA Cloud, enhancing efficiency in reporting and decision-making processes.
  • Users value the exceptional processing speed of SAP HANA Cloud, enhancing real-time insights and decision-making capabilities.
  • Users value the scalability of SAP HANA Cloud, enabling efficient growth and flexibility aligned with business needs.
Cons
  • Users often face complexity in initial setup and configuration that complicates the effective use of SAP HANA Cloud.
  • Users are concerned about the high costs associated with SAP HANA Cloud, especially when managing workloads improperly.
  • Users often struggle with the learning curve and initial setup complexity, hindering efficient onboarding for new users.
  • Users find the difficult learning curve of SAP HANA Cloud hinders onboarding and requires significant technical expertise.
  • Users find the complex setup of SAP HANA Cloud challenging, particularly for new users and specialized features.

What Are Recent G2 Reviews of SAP HANA Cloud?

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Oracle Database

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: 939

How Do G2 Users Rate Oracle Database?

  • 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: 9.0/10)
  • Provisioning: 8.5/10 (Category avg: 8.8/10)

Who Is the Company Behind Oracle Database?

  • Seller: Oracle
  • Year Founded: 1977
  • HQ Location: Austin, TX
  • LinkedIn® Page: www.linkedin.com
    207,576 employees on LinkedIn®
  • Ownership: NYSE:ORCL
  • Phone: +1 (650) 506-7000

Who Uses This Product?

  • Who Uses This: Software Engineer, Software Developer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 61% Large, 27% Medium

What Do G2 Reviewers Say About Oracle Database?

AI-generated summary from verified user reviews

Pros
  • Users value the strong security features of Oracle Database, ensuring robust protection and peace of mind for data management.
  • Users commend the exceptional performance of Oracle Database for managing complex transactions and large datasets seamlessly.
  • Users find Oracle Database extremely easy to use, enabling efficient navigation and effective job performance without formal training.
  • Users love the easy integrations of Oracle Database, enabling seamless connections with other software for enhanced efficiency.
  • Users commend the rock-solid reliability of Oracle Database, ensuring smooth handling of complex transactions and data integrity.
Cons
  • Users find Oracle Database to be expensive, noting high costs and complex licensing that complicates scaling.
  • Users find the complexity of Oracle Database challenging, particularly in report generation and licensing management.
  • Users find Oracle Database to have poor usability, making navigation and report generation a complicated experience.
  • Users face a difficult learning curve with Oracle Database, complicating management and daily operations for beginners.
  • Users face a steep learning curve, making it difficult for beginners to effectively utilize Oracle Database's features.

What Are Recent G2 Reviews of Oracle Database?

What Are G2 Users Discussing About Oracle Database?

Amazon DynamoDB

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

How Do G2 Users Rate Amazon DynamoDB?

  • 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: 9.0/10)
  • Provisioning: 8.8/10 (Category avg: 8.8/10)

Who Is the Company Behind Amazon DynamoDB?

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 35% Large, 34% Medium

What Do G2 Reviewers Say About Amazon DynamoDB?

AI-generated summary from verified user reviews

Pros
  • Users value the high scalability of Amazon DynamoDB, enabling seamless performance even during high traffic periods.
  • Users appreciate the ease of use of Amazon DynamoDB, as it simplifies data management and reduces operational effort.
  • Users appreciate the cost efficiency of Amazon DynamoDB, reducing operational effort and eliminating server management overhead.
  • Users appreciate the high performance with low latency of Amazon DynamoDB, enhancing efficiency as data grows.
  • Users appreciate the fully managed services of Amazon DynamoDB, which significantly reduce operational overhead and complexity.
Cons
  • Users find the cost structure unclear, leading to unexpected expenses without proper capacity planning on Amazon DynamoDB.
  • Users find the query complexity of Amazon DynamoDB challenging, especially with data modeling and performance issues.
  • Users find the data modeling and query complexity of Amazon DynamoDB challenging, especially for beginners and performance optimization.
  • Users face a steep learning curve in data modeling and querying when starting with Amazon DynamoDB.
  • Users often face cost management challenges with DynamoDB, risking high expenses without careful optimization and planning.

What Are Recent G2 Reviews of Amazon DynamoDB?

What Are G2 Users Discussing About Amazon DynamoDB?

Amazon Athena

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: 162

How Do G2 Users Rate Amazon Athena?

  • Application Performance: 8.9/10 (Category avg: 8.9/10)
  • Ease of Use: 8.9/10 (Category avg: 8.8/10)
  • Scalability: 8.9/10 (Category avg: 9.0/10)
  • Provisioning: 8.9/10 (Category avg: 8.8/10)

Who Is the Company Behind Amazon Athena?

Who Uses This Product?

  • Who Uses This: Data Engineer, Senior Data Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 51% Large, 27% Medium

What Do G2 Reviewers Say About Amazon Athena?

AI-generated summary from verified user reviews

Pros
  • Users find that Amazon Athena is a perfect tool for running data analysis directly on S3 storage.
  • Users find Amazon Athena ideal for big data handling, making data analysis from S3 seamless and efficient.
  • Users find Amazon Athena ideal for data analysis on S3, streamlining their data querying processes efficiently.
  • Users find Amazon Athena's ease of use appealing, thanks to its user-friendly interface and versatile querying capabilities.
  • Users appreciate the user-friendly interface of Amazon Athena, enabling easy access to diverse data sources.
Cons
  • Users find function limitations of Amazon Athena unhelpful for querying and updating data efficiently.
  • Users find the limited SQL capabilities of Amazon Athena hinder their ability to effectively query and update data.
  • Users find poor usability in Amazon Athena, making data querying and updates frustrating and unhelpful.

What Are Recent G2 Reviews of Amazon Athena?

What Are G2 Users Discussing About Amazon Athena?

Azure SQL Database

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: 232

How Do G2 Users Rate Azure SQL Database?

  • 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: 9.0/10)
  • Provisioning: 8.6/10 (Category avg: 8.8/10)

Who Is the Company Behind Azure SQL Database?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT
  • Phone: +1 (877) 276-2464

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 40% Large, 33% Medium

What Do G2 Reviewers Say About Azure SQL Database?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the great scalability of Azure SQL Database, enabling quick and efficient data management with no downtime.
  • Users value the seamless integrations of Azure SQL Database, enhancing efficiency and collaboration within the Azure ecosystem.
  • Users appreciate the robust built-in security features of Azure SQL Database, enhancing protection for their applications.
  • Users value the ease of use of Azure SQL Database, appreciating its quick setup and seamless management features.
  • Users highlight the easy integrations of Azure SQL Database, streamlining development and reducing operational complexities.
Cons
  • Users find Azure SQL Database expensive, especially as usage increases, complicating accessibility and performance management.
  • Users find complexity issues in managing billing structures, leading to confusion and unexpected costs with Azure SQL Database.
  • Users find the cost and complexity of Azure SQL Database challenging, especially at scale and for advanced configurations.
  • Users experience feature limitations in Azure SQL Database, leading to challenges with advanced SQL functionality and support.
  • Users find Azure SQL Database has limited database support, lacking cross-database querying and advanced SQL features.

What Are Recent G2 Reviews of Azure SQL Database?

What Are G2 Users Discussing About Azure SQL Database?

Amazon Aurora

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

How Do G2 Users Rate Amazon Aurora?

  • 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: 9.0/10)
  • Provisioning: 8.7/10 (Category avg: 8.8/10)

Who Is the Company Behind Amazon Aurora?

Who Uses This Product?

  • Who Uses This: DevOps Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Small, 34% Medium

What Do G2 Reviewers Say About Amazon Aurora?

AI-generated summary from verified user reviews

Pros
  • Users commend the scalability of Amazon Aurora, enjoying seamless performance and cost-effective management for heavy workloads.
  • Users commend the high availability of Amazon Aurora, ensuring reliable performance and seamless database management across applications.
  • Users commend the ease of use of Amazon Aurora, simplifying database management and integration effortlessly.
  • Users commend Amazon Aurora for its superior performance and scalability, making it ideal for heavy workloads and ETL jobs.
  • Users commend Amazon Aurora for its high availability, ensuring reliable data access with automated replication across multiple zones.
Cons
  • Users find the pricing model expensive, especially as storage needs grow and compared to self-managed databases.
  • Users face challenges with AWS dependency, including high costs and limited flexibility for future migration options.
  • Users note feature limitations in Aurora, particularly with advanced features and flexibility compared to self-managed databases.
  • Users note that cost issues can escalate quickly, particularly with larger datasets and unpredictable expenses.
  • Users find the learning curve steep, especially when transitioning from basic database solutions, impacting their optimization efforts.

What Are Recent G2 Reviews of Amazon Aurora?

What Are G2 Users Discussing About Amazon Aurora?

IBM Db2

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: 600

How Do G2 Users Rate IBM Db2?

  • 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: 9.0/10)
  • Provisioning: 8.6/10 (Category avg: 8.8/10)

Who Is the Company Behind IBM Db2?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM
  • Phone: 1-866-277-7488

Who Uses This Product?

  • Who Uses This: Senior Software Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Banking
  • Company Size: 66% Large, 21% Medium

What Do G2 Reviewers Say About IBM Db2?

AI-generated summary from verified user reviews

Pros
  • Users commend the high performance of IBM Db2, ensuring efficient data management and reliability for critical workloads.
  • Users value the high reliability of IBM Db2, ensuring consistent performance even during system failures.
  • Users admire the scalability of IBM Db2, facilitating easy management of large databases as business needs grow.
  • Users value the strong security measures of IBM Db2, ensuring robust data protection and integrity.
  • Users find IBM Db2 easy to use and integrate, appreciating its smooth functionality and developer-friendly features.
Cons
  • Users find the complex setup of IBM Db2 challenging, leading to frustrations during initial implementation and administration.
  • Users find the high costs of IBM Db2 a significant barrier, impacting overall satisfaction with the product.
  • Users face a steep learning curve with IBM Db2, making it challenging to master despite its advanced features.
  • Users find IBM Db2 complex to set up, with a steep learning curve and potential vendor lock-in challenges.
  • Users face a difficult setup process with IBM Db2, creating challenges during installation and administration.

What Are Recent G2 Reviews of IBM Db2?

What Are G2 Users Discussing About IBM Db2?

SAP Business Technology Platform

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: 397

How Do G2 Users Rate SAP Business Technology Platform?

  • 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: 9.0/10)
  • Provisioning: 8.7/10 (Category avg: 8.8/10)

Who Is the Company Behind SAP Business Technology Platform?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP
  • Phone: +1 (800) 872-1727

Who Uses This Product?

  • Who Uses This: Software Engineer, System Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 39% Large, 36% Medium

What Do G2 Reviewers Say About SAP Business Technology Platform?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of SAP Business Technology Platform for its integration and streamlined operations.
  • Users appreciate the seamless integrations offered by SAP Business Technology Platform, enhancing efficiency and simplifying their workflows.
  • Users value the easy integrations of SAP Business Technology Platform, streamlining workflows and enhancing productivity significantly.
  • Users value the accelerated integration and innovation SAP BTP offers, making it a vital tool for modern businesses.
  • Users value the unified platform of SAP Business Technology Platform for seamless integration and efficient data management.
Cons
  • Users find the steep learning curve challenging, especially for those lacking prior experience, complicating the initial setup.
  • Users experience a steep learning curve and complexity that can hinder initial use and navigation of SAP BTP.
  • Users find the high costs of SAP Business Technology Platform to be a significant drawback of the overall experience.
  • Users struggle with the steep learning curve of SAP Business Technology Platform, complicating initial setup and usage.
  • Users often find the difficult learning curve of SAP BTP to be a significant barrier for newcomers.

What Are Recent G2 Reviews of SAP Business Technology Platform?

What Are G2 Users Discussing About SAP Business Technology Platform?

ScyllaDB

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: 425

How Do G2 Users Rate ScyllaDB?

  • 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: 9.0/10)
  • Provisioning: 8.8/10 (Category avg: 8.8/10)

Who Is the Company Behind ScyllaDB?

  • Seller: ScyllaDB
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Palo Alto, US
  • LinkedIn® Page: www.linkedin.com
    215 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 41% Small, 29% Medium

What Do G2 Reviewers Say About ScyllaDB?

AI-generated summary from verified user reviews

Pros
  • Users are thrilled with ScyllaDB's impressive performance, highlighting low latency and high throughput for large-scale workloads.
  • Users admire the impressive speed of ScyllaDB, experiencing low latency and high throughput for optimal performance.
  • Users appreciate the seamless scalability of ScyllaDB, enabling efficient handling of large data workloads with low latency.
  • Users appreciate the low latency of ScyllaDB, ensuring efficient performance for real-time, high throughput applications.
  • Users appreciate the ease of use of ScyllaDB, facilitating straightforward setup and management in various applications.
Cons
  • Teams experience a steep learning curve with ScyllaDB, needing extensive knowledge of distributed systems for effective use.
  • Users note the limited features of ScyllaDB, especially compared to more established databases like MongoDB.
  • Users find the difficult learning curve for ScyllaDB challenging, especially newcomers adapting to its complex concepts.
  • Users find the difficult setup of ScyllaDB challenging, especially for novices needing a simpler, streamlined process.
  • Users face a steep learning curve with ScyllaDB, requiring deep technical knowledge for effective operation and tuning.

What Are Recent G2 Reviews of ScyllaDB?

Amazon ElastiCache

Amazon ElastiCache is a fully managed service that makes it easy to deploy, operate, and scale an in-memory data store and cache in the cloud. Often working in conjunction with other AWS database and storage services, ElastiCache ensures modern applications meet real-time requirements for high data throughput and sub-milli second response times, while serving millions of simultaneous requests. Amazon ElastiCache supports two open-source in-memory engines: o Redis - a fast, open source, in-memory data store and cache. Amazon ElastiCache for Redis is a Redis-compatible in-memory service that delivers the ease-of-use and power of Redis along with the availability, reliability and performance suitable for the most demanding applications. ElastiCache for Redis is fully managed, scalable, and secure - making it an ideal candidate to power high-performance use cases such as Web, Mobile Apps, Gaming, Ad-Tech, and IoT. o Memcached - a widely adopted memory object caching system. Amazon ElastiCache for Memcached is protocol compliant with Memcached, so popular tools that you use today with existing Memcached environments will work seamlessly with the service. ElastiCache for Memcached is suitable for caching use cases where performance and concurrency is important.

Average Rating: 4.5/5.0

Total Reviews: 84

How Do G2 Users Rate Amazon ElastiCache?

  • Application Performance: 8.8/10 (Category avg: 8.9/10)
  • Ease of Use: 8.9/10 (Category avg: 8.8/10)
  • Scalability: 8.6/10 (Category avg: 9.0/10)
  • Provisioning: 8.8/10 (Category avg: 8.8/10)

Who Is the Company Behind Amazon ElastiCache?

Who Uses This Product?

  • Who Uses This: Software Engineer, DevOps Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 35% Small, 33% Medium

What Do G2 Reviewers Say About Amazon ElastiCache?

AI-generated summary from verified user reviews

Pros
  • Users find cost efficiency in alternatives to Amazon ElastiCache, citing significant savings and better performance options.
  • Users highlight the lack of effective customer support from AWS, leading to negative experiences with billing and account security.
  • Users appreciate the extremely low-latency performance of Amazon ElastiCache, enhancing application responsiveness during traffic spikes.
  • Users appreciate the extremely low-latency performance of Amazon ElastiCache, enhancing application response times significantly.
  • Users appreciate the extremely low-latency performance of Amazon ElastiCache, enhancing application response times and managing traffic spikes effectively.
Cons
  • Users criticize the cost issues with ElastiCache, feeling it's overpriced with inadequate support compared to alternatives.
  • Users often face downtime issues when scaling large Redis clusters, requiring careful planning and rebalancing.
  • Users find AWS ElastiCache to be expensive and lacking support, prompting many to switch to more cost-effective solutions.
  • Users report poor customer support with Amazon ElastiCache, leading many to switch to alternatives like GCP.
  • Users struggle with scaling issues in Amazon ElastiCache, often needing downtime and careful rebalancing for large Redis clusters.

What Are Recent G2 Reviews of Amazon ElastiCache?

What Are G2 Users Discussing About Amazon ElastiCache?

Google Cloud SQL

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: 355

How Do G2 Users Rate Google Cloud SQL?

  • 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: 9.0/10)
  • Provisioning: 8.9/10 (Category avg: 8.8/10)

Who Is the Company Behind Google Cloud SQL?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG
  • Phone: +1 (650) 253-0000

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 41% Medium, 34% Small

What Do G2 Reviewers Say About Google Cloud SQL?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of management and setup of Google Cloud SQL, enjoying automated backups and seamless scaling.
  • Users value the seamless integration with Google Cloud services, enhancing reliability and saving operational time.
  • Users appreciate the ease of use of Google Cloud SQL, making database management and setup smooth and efficient.
  • Users appreciate the easy integrations of Google Cloud SQL, enhancing reliability and simplifying operational tasks seamlessly.
  • Users value the seamless scalability of Google Cloud SQL, enabling efficient handling of traffic spikes effortlessly.
Cons
  • Users find pricing transparency lacking in Google Cloud SQL, leading to unexpected cost increases for storage and instances.
  • Users highlight cost concerns due to rapid escalation and ambiguity in billing that affects affordability.
  • Users find significant scaling issues with Google Cloud SQL, facing slow support and costly resource consumption.
  • Users feel that complex pricing makes it hard to predict costs, hindering effective budget management for Google Cloud SQL.
  • Users find the pricing confusion in Google Cloud SQL challenging, complicating budgeting and cost forecasting.

What Are Recent G2 Reviews of Google Cloud SQL?

What Are G2 Users Discussing About Google Cloud SQL?

Microsoft Azure Cosmos DB

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

How Do G2 Users Rate Microsoft Azure Cosmos DB?

  • 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: 9.0/10)
  • Provisioning: 8.4/10 (Category avg: 8.8/10)

Who Is the Company Behind Microsoft Azure Cosmos DB?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT
  • Phone: +1 (877) 276-2464

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Large, 28% Medium

What Do G2 Reviewers Say About Microsoft Azure Cosmos DB?

AI-generated summary from verified user reviews

Pros
  • Users find Azure Cosmos DB to be easy to use, enhancing their experience with seamless integration and configuration.
  • Users value the speed and flexibility of Azure Cosmos DB, enhancing their team's productivity and data security.
  • Users value the easy integration capabilities of Azure Cosmos DB with various Microsoft services and APIs.
  • Users value the seamless scalability of Azure Cosmos DB, enabling effortless resource management and integration.
  • Users appreciate the customization options in Azure Cosmos DB, enabling tailored configurations for varying use cases.
Cons
  • Users find Azure Cosmos DB expensive, with costs increasing rapidly if not optimized for storage and partitioning.
  • Users are concerned about high costs with Azure Cosmos DB, noting expenses can escalate rapidly if not managed properly.
  • Users find the complexity issues of Azure Cosmos DB can lead to confusion about costs and limitations in features.
  • Users find Azure Cosmos DB’s complex usage challenging, requiring significant learning for effective use outside professional expertise.
  • Users note that Azure Cosmos DB can become costly without proper storage optimization and partitioning, leading to rapid expenses.

What Are Recent G2 Reviews of Microsoft Azure Cosmos DB?

What Are G2 Users Discussing About Microsoft Azure Cosmos DB?

Google Cloud Firestore

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

How Do G2 Users Rate Google Cloud Firestore?

  • 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: 9.0/10)
  • Provisioning: 9.1/10 (Category avg: 8.8/10)

Who Is the Company Behind Google Cloud Firestore?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG
  • Phone: +1 (650) 253-0000

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 53% Small, 30% Medium

What Do G2 Reviewers Say About Google Cloud Firestore?

AI-generated summary from verified user reviews

Pros
  • Users find the API integration fast and efficient, allowing seamless app connections and real-time updates.
  • Users value the scalability and wide service offerings of Google Cloud Firestore, enhancing flexibility for diverse applications.
  • Users value the flexibility of Google Cloud Firestore, enabling customized solutions for diverse application needs.
  • Users highlight the commitment to innovation in Google Cloud Firestore, enhancing their development experience and efficiency.
  • Users benefit from the seamless integration with Google products, enhancing their overall workflow and productivity.
Cons
  • Users find the pricing expensive, especially when needing to upgrade beyond the free tier of Firestore.
  • Users find the unclear pricing of Firestore confusing, especially when costs increase after the free tier.

What Are Recent G2 Reviews of Google Cloud Firestore?

What Are G2 Users Discussing About Google Cloud Firestore?

Rachana Hasyagar
RH
Researched and written by Rachana Hasyagar
Updated