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: 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 01, 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
  • 12,800+ Authentic Reviews
  • 139+ 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

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

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

Amazon DocumentDB

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

Average Rating: 4.3/5.0

Total Reviews: 42

How Do G2 Users Rate Amazon DocumentDB?

  • Application Performance: 9.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.6/10 (Category avg: 8.8/10)
  • Scalability: 9.4/10 (Category avg: 9.0/10)
  • Provisioning: 9.2/10 (Category avg: 8.8/10)

Who Is the Company Behind Amazon DocumentDB?

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 39% Small, 34% Large

What Do G2 Reviewers Say About Amazon DocumentDB?

AI-generated summary from verified user reviews

Pros
  • Users value the reliable cloud computing services provided by Amazon DocumentDB for their data management needs.
  • Users appreciate the easy integration with AWS services that enhances their experience and functionality with DocumentDB.
  • Users value the easy integration with AWS services offered by Amazon DocumentDB, enhancing overall functionality and flexibility.
  • Users value the reliable cloud computing services provided by Amazon DocumentDB, ensuring consistent performance and uptime.
Cons
  • Users find it very complicated to understand Amazon DocumentDB, which can hinder effective usage and implementation.
  • Users point out the dependency issues with Amazon DocumentDB, making migration to other databases challenging and costly.
  • Users find Amazon DocumentDB to be expensive compared to other DBaaS providers, complicating migration and increasing operational challenges.

What Are Recent G2 Reviews of Amazon DocumentDB?

What Are G2 Users Discussing About Amazon DocumentDB?

Neo4j Graph Database

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
  • Year Founded: 2007
  • HQ Location: San Mateo, CA
  • LinkedIn® Page: www.linkedin.com
    1,063 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 ease of use with Neo4j, valuing its intuitive representation of complex relationships in data.
  • Users appreciate the intuitive modeling of complex relationships in Neo4j, enhancing data exploration and query efficiency.
  • Users appreciate how Neo4j's natural modeling of complex relationships optimizes queries for interconnected data efficiently.
  • Users appreciate the design flexibility of Neo4j, enabling efficient modeling of complex relationships in interconnected data.
  • Users appreciate the flexibility of Neo4j, enabling efficient representation and querying of complex, interconnected data.
Cons
  • Users face a challenging learning curve with Neo4j, especially transitioning from SQL and managing complex queries.
  • Users face backup issues with Neo4j, finding backup and restore processes complex for extensive historical data management.
  • Users face data management issues with Neo4j, particularly with backup complexity and importing data from various sources.
  • Users find learning Neo4j's complex Cypher query language and backup processes challenging, especially transitioning from SQL backgrounds.
  • Users face import issues with Neo4j, complicating data transfers from structured sources like Wiki pages.

What Are Recent G2 Reviews of Neo4j Graph Database?

What Are G2 Users Discussing About Neo4j Graph Database?

Zoho Creator

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: 155

How Do G2 Users Rate Zoho Creator?

  • Application Performance: 8.9/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (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
  • Year Founded: 1996
  • HQ Location: Austin, TX
  • LinkedIn® Page: www.linkedin.com
    30,913 employees on LinkedIn®
  • Phone: +1 (888) 900-9646

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 48% Small, 43% Medium

What Do G2 Reviewers Say About Zoho Creator?

AI-generated summary from verified user reviews

Pros
  • Users value the easy integrations of Zoho Creator, enabling seamless connections with Zoho CRM and external APIs.
  • Users value the ease of use in Zoho Creator, enabling rapid app development without coding skills.
  • 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 challenging for non-technical users, especially with complex workflows and large datasets.
  • Users find limited customization frustrating, often needing workarounds to achieve their desired UI and functionality.
  • Users report poor customer support from Zoho Creator, highlighting slow responses and confusion in resolving issues.
  • Users struggle with coding challenges, especially regarding API integrations and limitations on JavaScript usage.

What Are Recent G2 Reviews of Zoho Creator?

What Are G2 Users Discussing About Zoho Creator?

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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% Small

What Do G2 Reviewers Say About Microsoft Azure Cosmos DB?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Azure Cosmos DB, finding it simple to configure and effective for teams.
  • Users praise the fast performance and vast features of Azure Cosmos DB, enhancing flexibility and integration options.
  • Users find Azure Cosmos DB offers seamless integrations, making it easy to connect with various Microsoft services and APIs.
  • Users value the seamless scalability of Azure Cosmos DB, allowing instant resource management without hassle.
  • Users appreciate the customization options of Azure Cosmos DB, allowing tailored experiences and integration with various APIs.
Cons
  • Users find Azure Cosmos DB to be expensive, often leading to high costs if not managed properly.
  • Users are concerned about the high costs of Azure Cosmos DB, especially with unoptimized storage and partitioning.
  • Users find the complexity issues of Azure Cosmos DB challenging, especially with confusing cost structures and limitations.
  • Users find the complex usage of Azure Cosmos DB challenging, especially for those without advanced database skills.
  • Users find that Azure Cosmos DB can become expensive if storage is not optimized and partitioned effectively.

What Are Recent G2 Reviews of Microsoft Azure Cosmos DB?

What Are G2 Users Discussing About Microsoft Azure Cosmos DB?

Arango

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
  • Year Founded: 2015
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    128 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 find Arango remarkably easy to use, appreciating its intuitive interface and quick learning curve for AQL.
  • Users value Arango's seamless data handling, combining graph, document, and key-value seamlessly with excellent documentation.
  • Users appreciate the straightforward query language of Arango, making complex queries accessible and easy to learn.
  • Users praise ArangoDB for its intuitive query language, making it easy for new developers to learn and use effectively.
  • Users value the customization potential of Arango DB, appreciating its flexible query language and versatile design.
Cons
  • Users find the poor usability of ArangoDB challenging, citing complexity in operations and setup as major issues.
  • Users find the difficult learning process challenging, particularly with complex queries and limited community support.
  • Users find the improvement needed for the graphical interface and setup process, wishing for a more intuitive experience.
  • Users find the learning curve steep, especially for complex queries and building new databases with limited support.
  • Users find the steep learning curve challenging, particularly for building complex queries and databases.

What Are Recent G2 Reviews of Arango?

What Are G2 Users Discussing About Arango?

Couchbase

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

Average Rating: 4.3/5.0

Total Reviews: 142

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
  • Company Website:
  • Year Founded: 2009
  • HQ Location: San Jose, CA
  • LinkedIn® Page: www.linkedin.com
    844 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, enabling diverse data storage and seamless integration for various applications.
  • Users value the MongoDB compatibility of Couchbase, appreciating its ease of use and smooth integration.
  • Users find Couchbase easy to use, appreciating its simple implementation and fast 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 feel the UI is complicated, highlighting a need for improvements to enhance the overall user experience.
  • Users find the complexity of setup and management in Couchbase to be a significant challenge and hurdle.
  • Users find the difficult learning curve of Couchbase challenging, which can complicate setup and usage for novices.
  • Users note a lack of features in the community edition, finding it challenging for newcomers and complex to configure.
  • Users find the complex configuration of Couchbase challenging, especially without dedicated database administrators or expertise.

What Are Recent G2 Reviews of Couchbase?

What Are G2 Users Discussing About Couchbase?

Google Cloud BigTable

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
  • 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?

  • Company Size: 41% Medium, 32% Large

What Do G2 Reviewers Say About Google Cloud BigTable?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use in managing cloud features with Google Cloud BigTable, appreciating its smooth UI.
  • Users appreciate the ease of use of Google Cloud BigTable, enjoying its seamless integration and smooth interface.
  • Users value the seamless integrations of Google Cloud BigTable, enhancing their development and data management experience effortlessly.
  • Users appreciate the seamless integration of services in Google Cloud BigTable for efficient application development and data management.
  • Users praise the efficiency of data analytics in Google Cloud BigTable, enabling seamless access and processing of big data.
Cons
  • Users highlight the high costs of Google Cloud BigTable, finding pricing unpredictable and often overwhelming.
  • Users find Google Cloud BigTable expensive, with unpredictable billing and a steep learning curve for beginners.
  • Users find the billing issues with Google Cloud BigTable frustrating due to unpredictable costs and high pricing.
  • Users find Google Cloud BigTable's complexity challenging, especially due to its overwhelming tools and costly pricing structure.
  • Users find learning difficult due to limited language support and complex usage, requiring significant programming knowledge.

What Are Recent G2 Reviews of Google Cloud BigTable?

What Are G2 Users Discussing About Google Cloud BigTable?

Tiger Data

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: 32

How Do G2 Users Rate Tiger Data?

  • Application Performance: 8.5/10 (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: 8.2/10 (Category avg: 8.8/10)

Who Is the Company Behind Tiger Data?

Who Uses This Product?

  • Top Industries: Financial Services, Computer Software
  • Company Size: 78% Small, 19% Medium

What Do G2 Reviewers Say About Tiger Data?

AI-generated summary from verified user reviews

Pros
  • Users praise the clean and intuitive UI of Tiger Data, making navigation and setup effortless.
  • Users highlight the easy setup of Tiger Data, allowing quick integration and efficient management of databases.
  • Users appreciate the ease of setup, finding it quick and straightforward to start using Tiger Data.
  • Users value the ease of access and actionable insights provided by Tiger Data, enhancing decision-making and analytics.
  • Users praise the performance of Tiger Data, highlighting its speed, accuracy, and user-friendly interface for managing data.
Cons
  • Users find the pricing to be high and inflexible, especially for smaller projects or startups.
  • Users find Tiger Data's expensive licensing burdensome, especially for hobby projects, making budgeting essential for scaling.
  • Users express concerns about missing features like advanced visualizers and experience slow UI when managing many tables.
  • Users experience poor UI with slow loading times, especially when handling large datasets, affecting overall workflow efficiency.
  • Users experience slow performance with the UI, particularly when handling large amounts of data, affecting workflow efficiency.

What Are Recent G2 Reviews of Tiger Data?

Fauna

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
  • Year Founded: 2015
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    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 highlight Fauna's high scalability, enabling effortless handling of growing applications in a serverless environment.
  • Users find Fauna's interface to be incredibly easy to use, simplifying database management and accelerating development.
  • Users value the flexibility of Fauna, enabling easy prototyping and efficient handling of diverse data requirements.
  • Users praise the exceptional customer support from Fauna, highlighting their responsiveness and helpfulness during setup and troubleshooting.
  • Users value the easy integrations of Fauna, enabling quick setup and seamless adaptation to their development needs.
Cons
  • Users find the difficult learning curve and debugging challenges of Fauna to be significant obstacles to usability.
  • Users struggle with poor documentation for on-premise setups, making it difficult to find necessary deployment patterns.
  • Users find the type system difficult to debug, and the absence of full text search limits usability.
  • Users find the complex setup of Fauna challenging, especially for on-premise architecture integration.
  • Users are concerned about cost issues with Fauna, as pricing can escalate with usage beyond the free tier.

What Are Recent G2 Reviews of Fauna?

What Are G2 Users Discussing About Fauna?

CrateDB

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
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Redwood City, CA
  • LinkedIn® Page: www.linkedin.com
    48 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 value the ease of setup and SQL querying in CrateDB, enhancing their productivity and efficiency.
  • Users appreciate the fast and native SQL interface of CrateDB, enabling instant queries on structured and semi-structured data.
  • Users appreciate the easy integrations of CrateDB, streamlining the process for accessing varied data types efficiently.
  • Users value the flexibility of CrateDB, enabling diverse deployment setups and adaptable solutions for various needs.
  • Users value the versatile data support in CrateDB, enjoying features like multi-model data and advanced search capabilities.
Cons
  • Users note a lack of features in CrateDB, particularly missing comparative insights and advanced analytical SQL functionalities.
  • Users find software limitations in CrateDB, such as a lack of connectors and advanced SQL functions, concerning.
  • Users express concerns over limited features in CrateDB, affecting its suitability for diverse operational needs and analytics.
  • Users find the documentation lacking, especially regarding custom configurations and integrations in CrateDB.
  • Users find complex configuration challenging due to limited documentation and lack of control over sharding in CrateDB.

What Are Recent G2 Reviews of CrateDB?

Rachana Hasyagar
RH
Researched and written by Rachana Hasyagar
Updated