# Best Database as a Service (DBaaS) Providers for Small Business - Page 3

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

**Total Products under this Category:** 144

### Category Stats (Aug 2026)

- **Average Rating:** 4.43/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** ScaleGrid (+1.86%) - Among all products in this category, ScaleGrid recorded the largest rating increase compared to last month

_Last updated: August 04, 2026_

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

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

- 30 Analysts and Data Experts
- 12,600+ Authentic Reviews
- 144+ 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.

## 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](https://www.g2.com/categories/database-as-a-service-dbaas/grids.png?focus%5B%5D=1644&focus%5B%5D=135981&focus%5B%5D=585&focus%5B%5D=56279&focus%5B%5D=1213045&focus%5B%5D=40540&focus%5B%5D=16406&focus%5B%5D=17357)

Highlighted products: DigitalOcean, Supabase, Amazon Relational Database Service (RDS), MongoDB Atlas, Boost.space, Google Cloud SQL, Kintone, and Amazon DynamoDB.

Underlying data: [Grid® JSON](https://www.g2.com/categories/database-as-a-service-dbaas/grids.json?focus%5B%5D=digitalocean&focus%5B%5D=supabase-supabase&focus%5B%5D=amazon-relational-database-service-rds&focus%5B%5D=mongodb-atlas&focus%5B%5D=boost-space&focus%5B%5D=google-cloud-sql&focus%5B%5D=kintone&focus%5B%5D=amazon-web-services-aws-amazon-dynamodb&segment=small-business)

**Sponsored**

### 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.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=318&secure%5Bchosen_at%5D=2026-08-04T19%3A15%3A53Z&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=40868&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%2Fsmall-business%3Fpage%3D3&secure%5Btoken%5D=91d36cf1bc32b0fc1eb7c6ecdcffb5e8ec1429c7bc2408c40a24237ecdc84326&secure%5Burl%5D=https%3A%2F%2Faws.amazon.com%2Frds%2Faurora%2F%3Ftrk%3De719367b-1b6a-44ad-96bd-1ea7e2809cf6%26sc_channel%3Ddisplay%2Bads&secure%5Burl_type%5D=custom_url)

### [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

#### How Do G2 Users Rate 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 Azure Cosmos DB?

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website)  
231,632 employees on LinkedIn®
- **Ownership:** MSFT

#### Who Uses This Product?

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

#### What Do G2 Reviewers Say About Azure Cosmos DB?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Azure Cosmos DB, highlighting its intuitive design and helpful customer support.
- Users value the **speed and extensive features** of Azure Cosmos DB, which enhance their productivity and security.
- Users value the **seamless integrations** of Azure Cosmos DB, enhancing usability with Microsoft services and various APIs.
- Users value the **instant scalability** of Azure Cosmos DB, allowing effortless resource management and integration with Microsoft services.
- Users value the **flexibility and customization** of Azure Cosmos DB, enhancing their specific use cases effortlessly.

##### Cons

- Users note the **high costs** associated with Azure Cosmos DB, leading to rapid expense accumulation if not managed effectively.
- Users often find the **high costs** of Azure Cosmos DB concerning, especially with unoptimized storage and partitions.
- Users find the **complexity issues** of Azure Cosmos DB challenging, particularly regarding cost structure and feature limitations.
- Users find the **complex usage** of Azure Cosmos DB challenging, requiring significant learning for effective operation.
- Users find that Azure Cosmos DB can **increase costs** rapidly if storage isn't optimized and partitioned effectively.

#### What Are Recent G2 Reviews of Azure Cosmos DB?

**["Best Database for any team"](https://www.g2.com/survey_responses/azure-cosmos-db-review-10736939)**

**Rating:** 5.0/5.0 stars

_— Aman V._

[Read full review](https://www.g2.com/survey_responses/azure-cosmos-db-review-10736939)

**["Azure- A great cloud platform"](https://www.g2.com/survey_responses/azure-cosmos-db-review-10672079)**

**Rating:** 5.0/5.0 stars

_— Harish K._

[Read full review](https://www.g2.com/survey_responses/azure-cosmos-db-review-10672079)

#### What Are G2 Users Discussing About Azure Cosmos DB?

- [What needs improvement with Azure Cosmos DB to better meet your database requirements?](https://www.g2.com/discussions/what-needs-improvement-with-azure-cosmos-db-to-better-meet-your-database-requirements)
- [What is Azure Cosmos DB used for?](https://www.g2.com/discussions/azure-cosmos-db-what-is-azure-cosmos-db-used-for)
- [Is Cosmos a DB SaaS?](https://www.g2.com/discussions/is-cosmos-a-db-saas)
- [What type of database is cosmos?](https://www.g2.com/discussions/what-type-of-database-is-cosmos)
- [Is Azure Cosmos DB PaaS?](https://www.g2.com/discussions/is-azure-cosmos-db-paas)

### [Zoho Creator](https://www.g2.com/products/zoho-creator/reviews)

Zoho Creator is an AI-powered low-code platform that helps companies build powerful mobile and web applications tailored to their unique needs. From startups to large enterprises, businesses use Zoho Creator to automate processes, modernize legacy systems, and accelerate digital transformation, all without extensive coding. With Zoho Creator, you can create forms, collect data, automate workflows, generate reports, and build dashboards. The platform integrates AI, business intelligence, and advanced analytics to provide meaningful insights. Its unified data model and auto-scaling infrastructure ensure reliable performance as your business grows. With this multiplatform builder, you can design applications that run natively across web, mobile, and tablet devices, all from a single build. You can also seamlessly integrate your apps with existing systems like ERPs, accounting software, inventory platforms, IoT devices, and other cloud tools to create a connected ecosystem. Create apps that work the way you work. Try Zoho Creator for free!

**Average Rating:** 4.3/5.0

**Total Reviews:** 153

#### How Do G2 Users Rate Zoho Creator?

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

#### Who Is the Company Behind Zoho Creator?

- **Seller:** [Zoho](https://www.g2.com/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704)
- **Year Founded:** 1996
- **HQ Location:** Austin, TX
- **Twitter:** @Zoho  
137,880 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9c8e45ddb296c32c6c5597ef9ba945c94562c57624f7bd1dcf1a9e9931f71578&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F38373%2F&secure%5Burl_type%5D=linkedin_company_website)  
30,766 employees on LinkedIn®
- **Phone:** +1 (888) 900-9646 

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 48% Small, 42% Medium

#### What Do G2 Reviewers Say About Zoho Creator?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **native integrations** in Zoho Creator, finding it easy to manage their business in one place.
- Users find the **ease of use** in Zoho Creator remarkable, enabling swift app development with minimal coding required.
- Users praise the **easy integrations** with the Zoho ecosystem, enhancing productivity and simplifying app deployment.
- Users value the **automation ease** of Zoho Creator, allowing seamless data management and workflow optimization without coding.
- Users love the **user-friendly interface** of Zoho Creator, enabling effortless app development without coding skills.

##### Cons

- Users find the **complexity** of Zoho Creator challenging, particularly when managing intricate workflows and larger datasets.
- Users find the **learning curve** for Zoho Creator challenging, particularly for non-technical users and complex workflows.
- Users find **limited customization** in Zoho Creator, often feeling restricted in achieving their desired UI designs.
- Users report **poor customer support** , facing delays and limited assistance that hamper their overall experience with Zoho Creator.
- Users struggle with **coding challenges** , especially regarding API integrations and limitations on JavaScript usage.

#### What Are Recent G2 Reviews of Zoho Creator?

**["Intuitive Drag-and-Drop App Builder with Powerful Integrations and Automation"](https://www.g2.com/survey_responses/zoho-creator-review-12553188)**

**Rating:** 4.0/5.0 stars

_— Sachin S._

[Read full review](https://www.g2.com/survey_responses/zoho-creator-review-12553188)

**["using Zoho Creator for an International Moving Company"](https://www.g2.com/survey_responses/zoho-creator-review-12704888)**

**Rating:** 5.0/5.0 stars

_— David L._

[Read full review](https://www.g2.com/survey_responses/zoho-creator-review-12704888)

#### What Are G2 Users Discussing About Zoho Creator?

- [How do I create a Zoho Creator app?](https://www.g2.com/discussions/how-do-i-create-a-zoho-creator-app)
- [What are the features of Zoho?](https://www.g2.com/discussions/zoho-creator-what-are-the-features-of-zoho)
- [Is Zoho Creator any good?](https://www.g2.com/discussions/is-zoho-creator-any-good) - 1 comment
- [What does Zoho Creator do?](https://www.g2.com/discussions/what-does-zoho-creator-do)

### [Arango](https://www.g2.com/products/arango/reviews)

Arango provides a trusted data foundation for Contextual AI — transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimited scale and cost efficiency. The Arango AI Data Platform gives developers a single, integrated environment to build and scale AI-powered applications without the complexity of stitching together multiple databases and tools. At its core is a massively scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial, and vector search — creating the System of Context, the bridge between enterprise data and LLMs. The Arango AI Suite includes automated data pipelines, multimodal data ingestion, AIOps and MLOps, LLM integrations, Graph Analytics, agentic frameworks for context-aware Hybrid/GraphRAG, GraphML, natural-language support, and GPU acceleration — enabling repeatable ROI and faster innovation. Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, Siemens, Synopsys and Articul8, Arango powers enterprise AI with context, confidence, and scale. We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, YouTube, and G2.

**Average Rating:** 4.6/5.0

**Total Reviews:** 115

#### How Do G2 Users Rate Arango?

- **Application Performance:** 8.4/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.9/10 (Category avg: 8.8/10)
- **Scalability:** 8.8/10 (Category avg: 9.0/10)
- **Provisioning:** 7.5/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Arango?

- **Seller:** [Arango](https://www.g2.com/sellers/arango)
- **Year Founded:** 2015
- **HQ Location:** San Francisco, CA
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=214d087cf6d1a509c70967d464e99b4a1d15bb7bcde037644055893318c586ad&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F5289249%2F&secure%5Burl_type%5D=linkedin_company_website)  
116 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Senior Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 57% Small, 23% Medium

#### What Do G2 Reviewers Say About Arango?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **flexible data handling** of Arango, combining documents, graphs, and key-value pairs effortlessly.
- Users find Arango's **ease of use** remarkable, simplifying data management with its intuitive interface and powerful query language.
- Users appreciate the **flexibility** of Arango, enabling seamless integration of various data models in one engine.
- Users value the **extensive customization options** in Arango, enhancing flexibility and simplifying data management.
- Users value the **comprehensive and well-organized documentation** that simplifies learning and managing Arango's features.

##### Cons

- Users find the **setup process complicated** for ArangoDB, especially for semantic search and views, needing improvement.
- Users find the **difficult learning** curve challenging, particularly when starting to build new databases.
- Users find the **lack of detailed documentation** frustrating, often struggling to locate necessary information for complex use cases.
- Users find the **learning curve steep** , particularly for newcomers navigating database creation and complex queries.
- Users find the **learning difficulty** quite challenging, particularly for newcomers building databases and handling complex queries.

#### What Are Recent G2 Reviews of Arango?

**["ArangoDB Delivers the Best All-Around Experience"](https://www.g2.com/survey_responses/arango-review-11922161)**

**Rating:** 5.0/5.0 stars

_— Ahemadraza P._

[Read full review](https://www.g2.com/survey_responses/arango-review-11922161)

**["Flexible, High-Performance Database That's Easy to Use"](https://www.g2.com/survey_responses/arango-review-11983567)**

**Rating:** 5.0/5.0 stars

_— Amar K._

[Read full review](https://www.g2.com/survey_responses/arango-review-11983567)

#### What Are G2 Users Discussing About Arango?

- [What is ArangoDB used for?](https://www.g2.com/discussions/what-is-arangodb-used-for) - 1 comment
- [What is AQL query?](https://www.g2.com/discussions/what-is-aql-query)
- [Is ArangoDB open source?](https://www.g2.com/discussions/is-arangodb-open-source)
- [Is ArangoDB free?](https://www.g2.com/discussions/is-arangodb-free) - 1 comment
- [What does ArangoDB do?](https://www.g2.com/discussions/what-does-arangodb-do)

### [Couchbase](https://www.g2.com/products/couchbase/reviews)

Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services.

**Average Rating:** 4.3/5.0

**Total Reviews:** 143

#### How Do G2 Users Rate Couchbase?

- **Application Performance:** 8.3/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.4/10 (Category avg: 8.8/10)
- **Scalability:** 8.3/10 (Category avg: 9.0/10)
- **Provisioning:** 8.3/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Couchbase?

- **Seller:** [Couchbase](https://www.g2.com/sellers/couchbase)
- **Company Website:** www.couchbase.com
- **Year Founded:** 2009
- **HQ Location:** San Jose, CA
- **Twitter:** @couchbase  
136,110 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8af8df2411a4f3c58605d6adbab9f2866919e43052c2cbb3704e25f41fa0a6be&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1866670%2F&secure%5Burl_type%5D=linkedin_company_website)  
860 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Senior Software Engineer, Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 39% Small, 34% Large

#### What Do G2 Reviewers Say About Couchbase?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **flexibility** of Couchbase, appreciating its versatile data model and user-friendly integration capabilities.
- Users value the **MongoDB compatibility** of Couchbase, appreciating its synchronization and ease of integration.
- Users appreciate the **ease of use** of Couchbase, finding it simple for daily applications and real-time data access.
- Users appreciate the **scalability** of Couchbase, enabling efficient handling of growing data and workloads seamlessly.
- Users value the **high-performance analytics insights** of Couchbase, enabling efficient data management and complex queries easily.

##### Cons

- Users find the **poor UI** of Couchbase complicated, suggesting that it needs significant improvements for better usability.
- Users find the **initial configuration and cluster management challenging** , impacting their ability to utilize Couchbase effectively.
- Users find the **difficult learning** process challenging, as features and documentation may lack clarity for troubleshooting.
- Users note a **lack of features** in the community edition, finding it challenging for newcomers and complex to configure.
- Users find the **initial setup complex** , which can hinder usage and access to advanced features in Couchbase.

#### What Are Recent G2 Reviews of Couchbase?

**["Couchbase Delivers Low-Latency Database Access"](https://www.g2.com/survey_responses/couchbase-review-13093148)**

**Rating:** 4.5/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/couchbase-review-13093148)

**["A robust solution for enterprises that are are AI adopters"](https://www.g2.com/survey_responses/couchbase-review-10927695)**

**Rating:** 4.0/5.0 stars

_— Bogdan Denis A._

[Read full review](https://www.g2.com/survey_responses/couchbase-review-10927695)

#### What Are G2 Users Discussing About Couchbase?

- [What are the benefits and challenges of using Couchbase for database management?](https://www.g2.com/discussions/what-are-the-benefits-and-challenges-of-using-couchbase-for-database-management)
- [What is Couchbase used for?](https://www.g2.com/discussions/what-is-couchbase-used-for)
- [What is Couchbase Capella used for?](https://www.g2.com/discussions/what-is-couchbase-capella-used-for)
- [How do I start a couchbase server?](https://www.g2.com/discussions/how-do-i-start-a-couchbase-server) - 1 comment
- [Is couchbase open source?](https://www.g2.com/discussions/is-couchbase-open-source)

### [Neo4j Graph Database](https://www.g2.com/products/neo4j-graph-database/reviews)

The fastest path to graph. Centered around the leading native graph database, today's Neo4j Graph Data Platform is a suite of applications and tools helping the world make sense of data. The Platform includes the Neo4j Graph Data Science Library – the leading enterprise-ready analytics workspace for graph data available as both open source and through a commercial license for enterprises – the graph visualization and exploration tool Bloom, the Cypher query language - very easy to learn and can operate across Neo4j, Apache Spark and Gremlin-based products using open source toolkits: "Cypher on Apache Spark (CApS) and Cypher for Gremlin.), Neo4j ETL and Kettle for data integration, and numerous additional tools, integrations and connectors to help developers and data scientists build graph-based solutions with ease. And the world's largest community to help enable any graph journey. Neo4j is the leading scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings

**Average Rating:** 4.5/5.0

**Total Reviews:** 131

#### How Do G2 Users Rate Neo4j Graph Database?

- **Application Performance:** 8.9/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.2/10 (Category avg: 8.8/10)
- **Scalability:** 9.4/10 (Category avg: 9.0/10)
- **Provisioning:** 7.5/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Neo4j Graph Database?

- **Seller:** [Neo4j](https://www.g2.com/sellers/neo4j)
- **Year Founded:** 2007
- **HQ Location:** San Mateo, CA
- **Twitter:** @neo4j  
47,112 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=58010b8d5b48860faa3ced1adb1169b6edb872cd216ddcfcbbae3e9038e64e69&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fneo4j%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,029 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 44% Small, 30% Medium

#### What Do G2 Reviewers Say About Neo4j Graph Database?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **natural modeling of complex relationships** in Neo4j, enhancing their ability to explore interconnected data efficiently.
- Users appreciate the **design flexibility** of Neo4j, enabling intuitive modeling of complex, interconnected data relationships.
- Users appreciate the **ease of use** of Neo4j, enabling efficient querying of complex interconnected data relationships.
- Users appreciate the **efficient relationship modeling** of Neo4j, allowing easy querying of complex, interconnected data structures.
- Users appreciate the **flexibility** of Neo4j, making it easy to model and query complex relationships in interconnected data.

##### Cons

- Users face **backup issues** with Neo4j, as restoring data from different versions can be quite complex and challenging.
- Users face **data management issues** in Neo4j, particularly with backup complexity and challenging imports from structured sources.
- Users face a **difficult learning curve** with Neo4j, especially when transitioning from traditional databases and query languages.
- Users face **import issues** with Neo4j, finding data transformation and integration from sources like Wiki challenging.
- Users face a **steep learning curve** with Neo4j due to complex backup processes and unfamiliar query language.

#### What Are Recent G2 Reviews of Neo4j Graph Database?

**["Neo4j Turns Historical Data into a Queryable Knowledge Graph"](https://www.g2.com/survey_responses/neo4j-graph-database-review-11077220)**

**Rating:** 5.0/5.0 stars

_— Gerhard S._

[Read full review](https://www.g2.com/survey_responses/neo4j-graph-database-review-11077220)

**["Best Graph Database for your data pattern insight and ML workload"](https://www.g2.com/survey_responses/neo4j-graph-database-review-9714165)**

**Rating:** 4.5/5.0 stars

_— Pratik A._

[Read full review](https://www.g2.com/survey_responses/neo4j-graph-database-review-9714165)

#### What Are G2 Users Discussing About Neo4j Graph Database?

- [What companies use neo4j?](https://www.g2.com/discussions/what-companies-use-neo4j) - 1 comment
- [Is neo4j enterprise free?](https://www.g2.com/discussions/is-neo4j-enterprise-free) - 2 comments
- [What are some of the benefits provided by the neo4j DBMS?](https://www.g2.com/discussions/what-are-some-of-the-benefits-provided-by-the-neo4j-dbms) - 1 comment
- [What is neo4j good for?](https://www.g2.com/discussions/what-is-neo4j-good-for) - 2 comments

### [Google Cloud BigTable](https://www.g2.com/products/google-cloud-bigtable/reviews)

Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.

**Average Rating:** 4.4/5.0

**Total Reviews:** 37

#### How Do G2 Users Rate Google Cloud BigTable?

- **Application Performance:** 8.2/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.4/10 (Category avg: 8.8/10)
- **Scalability:** 8.6/10 (Category avg: 9.0/10)
- **Provisioning:** 7.8/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Google Cloud BigTable?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Company Size:** 41% Medium, 32% Large

#### What Do G2 Reviewers Say About Google Cloud BigTable?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use and accessibility** of Google Cloud BigTable, making data management simple and secure.
- Users find Google Cloud BigTable easy to use, appreciating the **smooth UI and seamless integration** with other Google tools.
- Users appreciate the **seamless integrations** of Google Cloud BigTable, enhancing their web and mobile application development experience.
- Users benefit from the **seamless integration** of services in Google Cloud BigTable for efficient application development.
- Users appreciate the **ease of accessing and analyzing big data** with Google Cloud BigTable's comprehensive tools and services.

##### Cons

- Users find the **cost issues** concerning, as prices are high and difficult to predict monthly expenses.
- Users find the **expensive pricing** of Google Cloud BigTable challenging, making budgeting and understanding costs difficult.
- Users express concern over **billing issues** , citing unpredictable costs and high pricing for BigTable instances.
- Users find Google Cloud BigTable to have a **complex interface** , making it challenging for developers and beginners alike.
- Users find Google Cloud BigTable has a **learning difficulty** due to its complexity and limited coding language support.

#### What Are Recent G2 Reviews of Google Cloud BigTable?

**["My Go-To for Easy Big Data Analysis"](https://www.g2.com/survey_responses/google-cloud-bigtable-review-11087881)**

**Rating:** 4.5/5.0 stars

_— DilLip Chowdary R._

[Read full review](https://www.g2.com/survey_responses/google-cloud-bigtable-review-11087881)

**["BigTable - The Best NoSQL database"](https://www.g2.com/survey_responses/google-cloud-bigtable-review-10677378)**

**Rating:** 5.0/5.0 stars

_— Sanyam G._

[Read full review](https://www.g2.com/survey_responses/google-cloud-bigtable-review-10677378)

#### What Are G2 Users Discussing About Google Cloud BigTable?

- [What is Google Cloud BigTable used for?](https://www.g2.com/discussions/what-is-google-cloud-bigtable-used-for) - 1 comment, 1 upvote

### [Tiger Data](https://www.g2.com/products/tiger-data/reviews)

Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of history, all queryable in standard SQL. For IoT, Web3, and AI. Why teams choose Tiger Data: - Trusted by thousands of developers. 3M+ active databases, 2k+ customers - Up to 95% Compression. Keep years of history online at a fraction of the cost. - Production-ready without the operational pain. Multi-AZ HA, PITR, cross-region backups, SOC 2/HIPAA/GDPR, deep observability. - Scale effortlessly. Disaggregated compute & storage. Never pay for idle capacity. - Unified data architecture. Connect any data source and automatically sync it between your operational database, and data lake. - Hyperscaler procurement. Available on AWS Marketplace and Azure Marketplace. Key capabilities: - Automatic partitioning Ingest millions of data points per second without manual table management or sharding. - Incremental materialized views Precompute and cache rollups for instant dashboards and APIs. - Hybrid row/column storage Fast writes, compressed reads, optimized for real-time and historical queries. - Compression (up to 95%) Columnar encodings apply filters & aggregates directly on compressed data for faster queries and big savings. - Tiered Storage Automatically move older or less-frequently accessed data to low-cost object storage while keeping it fully queryable through the same SQL interface. - Fully managed Postgres Cloud Scale compute and storage independently, tier S3 storage to manage costs, deploy globally, and skip database ops. Industry verticals: Developers and platform teams in Industrial IoT, manufacturing, Crypto, SaaS/ML and DevOps tooling rely on Tiger to combine operational and historical data for real-time dashboards and mission-critical insights, queryable in standard-SQL. How to get started: Try Tiger Cloud for 1-month free with no credit card needed, or use us indefinitely as part of our free plan. Get started now - https://console.cloud.timescale.com/signup?utm\_source=g2&utm\_medium=referral&utm\_campaign=free-trial-g2

**Average Rating:** 4.6/5.0

**Total Reviews:** 33

#### How Do G2 Users Rate Tiger Data?

- **Application Performance:** 8.6/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.0/10 (Category avg: 8.8/10)
- **Scalability:** 8.9/10 (Category avg: 9.0/10)
- **Provisioning:** 8.3/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Tiger Data?

- **Seller:** [Tiger Data (creators of TimescaleDB)](https://www.g2.com/sellers/tiger-data-creators-of-timescaledb)
- **Company Website:** www.tigerdata.com
- **Year Founded:** 2015
- **HQ Location:** New York, New York
- **Twitter:** @TigerDatabase  
1,343 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8d9b4e0783735b04ef51b044174dccf919fb5a32b51399414b43ec81b82d0a32&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftimescaledb%2F&secure%5Burl_type%5D=linkedin_company_website)  
40 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 79% Small, 18% Medium

#### What Do G2 Reviewers Say About Tiger Data?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **clean and intuitive UI** of Tiger Data, making navigation and setup effortless.
- Users appreciate the **easy setup** of Tiger Data, enabling quick integration and efficient database management.
- Users love the **setup ease** of Tiger Data, finding it quick and user-friendly for managing scalable databases.
- Users appreciate the **user-friendly analytics tools** of Tiger Data, which simplify data analysis and enhance decision-making speed.
- Users commend the **high performance** of Tiger Data, noting quick processing and effective decision-making capabilities.

##### Cons

- Users find the **pricing too high** and not flexible enough for smaller projects or startups.
- Users find Tiger Data's **expensive licensing** and costs challenging, especially when budgeting for larger projects.
- Users report **missing features** , such as advanced visualizers and a complete Terraform provider, affecting overall usability.
- Users find the **UI slow and heavy** , particularly when managing large datasets, affecting overall workflow efficiency.
- Users experience **slow performance** with Tiger Data's interface, particularly when handling large datasets, affecting their workflow efficiency.

#### What Are Recent G2 Reviews of Tiger Data?

**["Great database for time series data"](https://www.g2.com/survey_responses/tiger-data-review-8771352)**

**Rating:** 5.0/5.0 stars

_— Daniel R._

[Read full review](https://www.g2.com/survey_responses/tiger-data-review-8771352)

**["Efficient and powerful database platform for scalable analytics"](https://www.g2.com/survey_responses/tiger-data-review-11732784)**

**Rating:** 5.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/tiger-data-review-11732784)

### [Fauna](https://www.g2.com/products/fauna-fauna/reviews)

Fauna is a truly serverless operational database that empowers teams to ship applications faster. It combines the flexibility of a document model with the strong consistency and rich querying power of relational systems—all built on a serverless, distributed architecture that scales automatically, without the complexity of manual provisioning, sharding, or replication. Over 80,000 development teams choose Fauna to build and scale modern transactional applications including teams from Tyson Foods, Unilever, Lexmark, Intelliculture, Hannon Hill, Cloaked, DTLR, and Insights.gg.

**Average Rating:** 4.4/5.0

**Total Reviews:** 25

#### How Do G2 Users Rate Fauna?

- **Application Performance:** 8.8/10 (Category avg: 8.9/10)
- **Ease of Use:** 7.6/10 (Category avg: 8.8/10)
- **Scalability:** 9.3/10 (Category avg: 9.0/10)
- **Provisioning:** 8.5/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Fauna?

- **Seller:** [Fauna](https://www.g2.com/sellers/fauna)
- **Year Founded:** 2015
- **HQ Location:** San Francisco, CA
- **Twitter:** @fauna  
93,015 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=db668800ad4988bf0620d24e5b8cba265fb45ef285e75e7e80c7497d5dfcf395&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ffaunadb%2F&secure%5Burl_type%5D=linkedin_company_website)  
12 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 64% Small, 24% Medium

#### What Do G2 Reviewers Say About Fauna?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **high scalability** of Fauna, enabling seamless performance and flexibility for diverse applications.
- Users find Fauna's **ease of use** impressive, enabling quick setup and effortless querying for developers.
- Users value the **flexibility** of Fauna, appreciating its document-based nature and adaptability to various use cases.
- Users praise Fauna for its **high reliability** , enabling seamless scalability and efficient handling of data operations.
- Users praise Fauna's **excellent customer support** , assisting with setup and resolving issues efficiently and promptly.

##### Cons

- Users find that the **difficult learning** curve and limited features can hinder their experience with Fauna.
- Users find the **poor documentation** frustrating, especially for on-premise setups and uncommon use cases.
- Users find the **type system hard to debug** and miss the absence of full text search in Fauna.
- Users find the **complex setup** for on-premise architecture challenging, lacking clear documentation for configurations.
- Users express concerns about **cost issues** , particularly with the lack of a pay-as-you-go pricing model.

#### What Are Recent G2 Reviews of Fauna?

**["The "best of every world" Database"](https://www.g2.com/survey_responses/fauna-review-10729580)**

**Rating:** 5.0/5.0 stars

_— Tayler K._

[Read full review](https://www.g2.com/survey_responses/fauna-review-10729580)

**["A truly serverless database"](https://www.g2.com/survey_responses/fauna-review-10703984)**

**Rating:** 5.0/5.0 stars

_— Verified User in Government Administration_

[Read full review](https://www.g2.com/survey_responses/fauna-review-10703984)

#### What Are G2 Users Discussing About Fauna?

- [Is FaunaDB expensive?](https://www.g2.com/discussions/is-faunadb-expensive)
- [Is FaunaDB serverless?](https://www.g2.com/discussions/is-faunadb-serverless) - 3 comments
- [What type of DB is FaunaDB?](https://www.g2.com/discussions/what-type-of-db-is-faunadb)
- [What is FaunaDB used for?](https://www.g2.com/discussions/what-is-faunadb-used-for)

### [CrateDB](https://www.g2.com/products/cratedb/reviews)

The real-time database for analytics, search, and AI. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distributed and containerized database that runs queries in milliseconds, regardless of data complexity, volume and velocity.

**Average Rating:** 4.4/5.0

**Total Reviews:** 82

#### How Do G2 Users Rate CrateDB?

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

#### Who Is the Company Behind CrateDB?

- **Seller:** [CrateDB](https://www.g2.com/sellers/cratedb)
- **Company Website:** cratedb.com
- **Year Founded:** 2013
- **HQ Location:** Redwood City, CA
- **Twitter:** @cratedb  
4,176 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=121f4072f17568c8e57d89de0363476840b4fc79b39ceb272ef7594a38994b21&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcrateio%2F&secure%5Burl_type%5D=linkedin_company_website)  
44 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 54% Small, 31% Medium

#### What Do G2 Reviewers Say About CrateDB?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of setup and SQL querying** , which makes CrateDB accessible and efficient for data analysis.
- Users value the **fast SQL queries** in CrateDB, enabling seamless streaming and processing of complex data efficiently.
- Users appreciate the **easy integrations** of CrateDB, facilitating seamless connections with tools for efficient data handling.
- Users value the **flexibility** of CrateDB, appreciating its adaptability to various data types and deployment setups.
- Users praise the **multi-model data support and advanced search capabilities** , finding it versatile and easy to use.

##### Cons

- Users note a **lack of features** in CrateDB, particularly in comparative insights and advanced SQL functions.
- Users find **software limitations** in CrateDB, including a lack of advanced features and support for complex operations.
- Users express concerns about the **limited features** of CrateDB, particularly regarding connectors and analytical capabilities.
- Users find the **poor documentation** of CrateDB lacking, especially regarding custom configurations and integrations.
- Users find **complex configuration** challenges in CrateDB, especially regarding Kubernetes and sharding management.

#### What Are Recent G2 Reviews of CrateDB?

**["Easy Setup, High Performance SQL"](https://www.g2.com/survey_responses/cratedb-review-12043586)**

**Rating:** 4.0/5.0 stars

_— Marcin G._

[Read full review](https://www.g2.com/survey_responses/cratedb-review-12043586)

**["Scalable Real-Time Time-Series SQL That’s Built for Observability"](https://www.g2.com/survey_responses/cratedb-review-12452794)**

**Rating:** 5.0/5.0 stars

_— Cristian M._

[Read full review](https://www.g2.com/survey_responses/cratedb-review-12452794)

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[Browse Database as a Service (DBaaS) Themes](/categories/database-as-a-service-dbaas/themes)

 ![Rachana Hasyagar](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Rachana Hasyagar")
RH

Researched and written by [Rachana Hasyagar](https://research.g2.com/insights/author/rachana-hasyagar)

Updated 

Products classified in the overall Database as a Service (DBaaS) category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Database as a Service (DBaaS) to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Database as a Service (DBaaS) category.

In addition to qualifying for inclusion in the Database as a Service (DBaaS) Providers category, to qualify for inclusion in the Small Business Database as a Service (DBaaS) Providers category, a product must have at least 10 reviews left by a reviewer from a small business.

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