Best Database as a Service (DBaaS) Providers - Page 4

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?

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, Amazon Relational Database Service (RDS), Databricks, Amazon DynamoDB, SAP HANA Cloud, Oracle Database, MongoDB Atlas, and Amazon Athena.

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

IBM Cloudant

Fully Managed — IBM Cloud service provides a fully managed, distributed JSON document database. Instantly deploy an instance, create databases, and independently scale throughput capacity and data storage to meet your application requirements. IBM expertise takes away the pain of hardware and software provisioning, patching and upgrades, while offering a 99.95 percent SLA. Secure — Cloudant is ISO27001, SOC 2 Type 2 compliant and HIPAA ready. All data is encrypted over the wire and at rest with optional user-defined key management through IBM Key Protect. Cloudant also offers an EU-managed service, that ensures all data and operations are handled solely by EU citizens. Global Availability — Available in all IBM Cloud regions and 55+ data centers across the world, Cloudant can easily be set up for disaster recovery between continents or scaling an app for a global release through a horizontal scaling architecture that can handle millions of users and terabytes of data to grow seamlessly alongside your business. All Cloudant instances are deployed on clusters that span availability zones in regions that support them, for added durability at no extra cost. Data flexibility — Leverage a flexible JSON schema and powerful API that is compatible with Apache CouchDB™, enabling you to access an abundance of language libraries and tools to rapidly build new applications and features. Durable replication — Move application data closer to all the places it needs to be — for uninterrupted data access, offline or on. Cloudant helps teams build Progressive Web Apps, develop with an offline-first architecture or manipulate data on edge devices. Powerful serverless API — Enhance your applications with built-in key-value, MapReduce, full-text search and geospatial querying that go beyond simple bounding boxes. Stream the changes feed for seamless integration with event-driven applications and IBM Cloud functions.

Average Rating: 3.8/5.0

Total Reviews: 39

How Do G2 Users Rate IBM Cloudant?

  • Application Performance: 8.2/10 (Category avg: 8.9/10)
  • Ease of Use: 8.6/10 (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 IBM Cloudant?

  • 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?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 48% Small, 31% Large

What Are Recent G2 Reviews of IBM Cloudant?

What Are G2 Users Discussing About IBM Cloudant?

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 appreciate the ease of use and accessibility of Google Cloud BigTable for cloud and data management.
  • Users praise the ease of implementation with Google Cloud BigTable, enjoying its smooth UI and resource optimization.
  • Users value the seamless integration with Workspace and BigQuery, enhancing collaboration and data management effortlessly.
  • Users value the seamless integration of Google Cloud BigTable for efficient application development and big data solutions.
  • Users value the seamless data analytics capabilities of Google Cloud BigTable, enhancing their web and application development processes.
Cons
  • Users feel that the cost issues of Google Cloud BigTable can be high and unpredictable, complicating budgeting.
  • Users find the pricing high for Google Cloud BigTable, making it a challenging investment for newcomers.
  • Users face billing issues with Google Cloud BigTable, finding prices unpredictable and overall costs excessively high.
  • Users find Google Cloud BigTable complex to use, especially due to its programming requirements and overwhelming tools.
  • Users find learning difficulty due to complex usage, limited coding language support, and a need for prior knowledge.

What Are Recent G2 Reviews of Google Cloud BigTable?

What Are G2 Users Discussing About Google Cloud BigTable?

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 benefit from seamless integrations within the Zoho ecosystem, enhancing productivity and simplifying app development.
  • Users value the ease of use of Zoho Creator, allowing quick application prototyping and seamless integration.
  • Users value the easy integrations of Zoho Creator, enabling seamless connections within the Zoho ecosystem and beyond.
  • Users value the automation ease of Zoho Creator, allowing effortless workflows and enhanced operational efficiency.
  • Users find Zoho Creator user-friendly, enabling effortless app development through drag-and-drop features and pre-built templates.
Cons
  • Users find the complexity of Zoho Creator cumbersome, especially when managing workflows or larger datasets.
  • Users find the learning curve challenging, particularly for non-technical users adapting to Zoho Creator's interface.
  • Users find the limited customization of Zoho Creator restrictive, often needing workarounds for effective design adjustments.
  • Users express disappointment with poor customer support, noting delays and a lack of timely solutions from Zoho Creator.
  • Users find coding challenges in Zoho Creator frustrating, especially with API integrations and limitations on JavaScript.

What Are Recent G2 Reviews of Zoho Creator?

What Are G2 Users Discussing About Zoho Creator?

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Intel Cloud Edition for Lustre

Intel Cloud Edition for Lustre software is a scalable, parallel file system purpose-built for HPC.

Average Rating: 4.2/5.0

Total Reviews: 10

How Do G2 Users Rate Intel Cloud Edition for Lustre?

  • Application Performance: 9.1/10 (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: 8.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Intel Cloud Edition for Lustre?

  • Seller: Intel Corporation
  • Year Founded: 1968
  • HQ Location: Santa Clara, CA
  • LinkedIn® Page: www.linkedin.com
    111,509 employees on LinkedIn®
  • Ownership: NASDAQ:INTC
  • Total Revenue (USD mm): $77,867

Who Uses This Product?

  • Company Size: 50% Large, 30% Small

What Are Recent G2 Reviews of Intel Cloud Edition for Lustre?

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 of Neo4j, enjoying intuitive relationship modeling and efficient querying for complex data connections.
  • Users appreciate the intuitive relationship modeling of Neo4j, enhancing efficiency in complex data querying and connections.
  • Users appreciate the optimized query performance of Neo4j for efficiently traversing complex relationships in interconnected data.
  • Users love the design flexibility of Neo4j, enabling intuitive modeling of complex, interconnected data relationships.
  • Users value the flexibility of Neo4j for modeling and querying complex relationships in interconnected data efficiently.
Cons
  • Users face a steep learning curve with Neo4j due to its unique query language and data management challenges.
  • Users face backup issues with Neo4j, as restoring data can be complex and requires careful management.
  • Users face data management issues with Neo4j, including complex backup processes and challenging data imports.
  • Users face difficult learning curves with Neo4j due to complex backup processes and unfamiliar query syntax.
  • Users find import issues in Neo4j challenging due to complex data transformation needs from traditional sources.

What Are Recent G2 Reviews of Neo4j Graph Database?

What Are G2 Users Discussing About Neo4j Graph Database?

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, appreciating its hybrid architecture and user-friendly SQL-like query language.
  • Users value the MongoDB compatibility of Couchbase, enhancing usability and performance for diverse data structures.
  • Users appreciate the ease of use of Couchbase, enjoying its seamless integration and user-friendly interface.
  • Users value the high-performance scalability of Couchbase, enabling effective management and support for diverse applications.
  • Users value the high-performance analytics insights of Couchbase, enabling efficient data handling and complex queries.
Cons
  • Users find the UI complicated, which impacts the overall ease of use despite impressive capabilities.
  • Users find the initial configuration and cluster management challenging, often resulting in high resource usage at scale.
  • Users face a difficult learning curve due to unclear AI features and documents, complicating troubleshooting efforts.
  • Users express a desire for more features in Couchbase, citing a lack of comprehensive options for newcomers.
  • Users find the initial setup complex, leading to limited usage and access to advanced settings only in enterprise versions.

What Are Recent G2 Reviews of Couchbase?

What Are G2 Users Discussing About Couchbase?

ScaleGrid

ScaleGrid provides a fully managed Database-as-a-Service (DBaaS) solution used by thousands of developers, startups, and enterprise customers, including UPS, Dell, and Adobe. The ScaleGrid platform supports MongoDB, MySQL, PostgreSQL (now with Citus support), Redis, and RabbitMQ hosting in public and private clouds, including Amazon AWS, Microsoft Azure, Google Cloud Platform, DigitalOcean, Oracle Cloud Infrastructure, Linode, and Zadara. ScaleGrid handles all your database operations at any scale so that you can focus on your product instead of operations.

Average Rating: 4.2/5.0

Total Reviews: 13

How Do G2 Users Rate ScaleGrid?

  • Application Performance: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.7/10 (Category avg: 8.8/10)
  • Scalability: 9.4/10 (Category avg: 9.0/10)
  • Provisioning: 8.3/10 (Category avg: 8.8/10)

Who Is the Company Behind ScaleGrid?

  • Seller: ScaleGrid
  • Year Founded: 2012
  • HQ Location: East Palo Alto, US
  • LinkedIn® Page: www.linkedin.com
    21 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 46% Medium, 46% Small

What Do G2 Reviewers Say About ScaleGrid?

AI-generated summary from verified user reviews

Pros
  • Users praise ScaleGrid's outstanding customer support for its promptness and proactive issue resolution, enhancing their experience.
  • Users find ScaleGrid's ease of use impressive, enabling quick starts while benefiting from exceptional support.
  • Users value the ease of setup and responsive support from ScaleGrid, appreciating the customer-centric approach and expert guidance.
  • Users commend ScaleGrid's flexibility in choosing providers and ecosystems, enhancing operational efficiency without extra costs.
  • Users find the installation ease of ScaleGrid impressive, benefiting from quick setup and excellent support.
Cons
  • Users note the limited features in the console, which may affect usability depending on the data center choice.
  • Users note a lack of certain features depending on the chosen data center, affecting console usability.
  • Users face limited options for features depending on their chosen data center, impacting overall satisfaction.
  • Users face regional limitations with ScaleGrid, experiencing feature variability depending on their chosen data center location.

What Are Recent G2 Reviews of ScaleGrid?

What Are G2 Users Discussing About ScaleGrid?

Dragonfly

Dragonfly is a drop-in Redis replacement, designed to meet the performance and efficiency requirements of modern cloud-based applications. Organizations that switch to Dragonfly require less hardware and achieve dramatically improved data performance.

Average Rating: 4.9/5.0

Total Reviews: 15

How Do G2 Users Rate Dragonfly?

  • Application Performance: 8.7/10 (Category avg: 8.9/10)
  • Ease of Use: 9.8/10 (Category avg: 8.8/10)
  • Scalability: 8.7/10 (Category avg: 9.0/10)
  • Provisioning: 9.4/10 (Category avg: 8.8/10)

Who Is the Company Behind Dragonfly?

  • Seller: DragonflyDB
  • Company Website:
  • Year Founded: 2022
  • HQ Location: Dragonfly 2345 Yale Street First Floor 94306-1449 Palo Alto, USA
  • LinkedIn® Page: www.linkedin.com
    43 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 67% Small, 20% Medium

What Do G2 Reviewers Say About Dragonfly?

AI-generated summary from verified user reviews

Pros
  • Users admire the ease of use of Dragonfly, allowing seamless migration and effortless scaling without code changes.
  • Users praise Dragonfly for its exceptional performance and scalability, significantly reducing costs while managing large data sets efficiently.
  • Users value the cost-effective solution Dragonfly offers, significantly reducing expenses while enhancing performance and reliability.
  • Users highlight the easy setup of Dragonfly, enjoying seamless integration and smooth migration with no code changes needed.
  • Users praise Dragonfly for its exceptional scalability, effortlessly managing vast data and high query loads with ease.
Cons
  • Users note the limited features of Dragonfly, particularly the lack of smaller instance sizes and maintenance notifications.
  • Users find the limited functionality of Dragonfly concerning, as essential features like maintenance notifications are missing.
  • Users experienced initial database instance stability issues with Dragonfly, but the team's swift support helped alleviate concerns.

What Are Recent G2 Reviews of Dragonfly?

Tembo

Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted deployment options, Tembo enables everyone – from the smallest startups to the Fortune 500 – to go “all in” on Postgres, achieving unprecedented stability and efficiency across a variety of applications and use cases. With Tembo, customers get all the stability, reliability, and extensibility of Postgres open source with enhanced observability, compliance, and developer experience.

Average Rating: 4.7/5.0

Total Reviews: 26

How Do G2 Users Rate Tembo?

  • Application Performance: 9.3/10 (Category avg: 8.9/10)
  • Ease of Use: 9.4/10 (Category avg: 8.8/10)
  • Scalability: 9.5/10 (Category avg: 9.0/10)
  • Provisioning: 9.2/10 (Category avg: 8.8/10)

Who Is the Company Behind Tembo?

  • Seller: Tembo
  • Year Founded: 2022
  • HQ Location: Cincinnati, US
  • LinkedIn® Page: www.linkedin.com
    32 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 85% Small, 15% Medium

What Do G2 Reviewers Say About Tembo?

AI-generated summary from verified user reviews

Pros
  • Users praise Tembo for its ease of use, enabling seamless organization, collaboration, and quick navigation.
  • Users love the intuitive interface of Tembo, making organization and team collaboration effortless and user-friendly.
  • Users appreciate the extensive integrations Tembo offers, enhancing collaboration and streamlining data management effortlessly.
  • Users highlight the ease of setup with Tembo, enabling quick deployment and smooth integration of services.
  • Users praise Tembo for its easy integrations, allowing seamless connections and efficient data management across platforms.
Cons
  • Users find Tembo's limited flexibility concerning, particularly due to restricted integration and customization options.
  • Users find the limited AWS dependency of Tembo restrictive, hoping for broader integration with other cloud services.
  • Users highlight the limited cloud integration of Tembo, focusing solely on AWS and lacking support for other services.
  • Users find Tembo to be expensive, with costs varying and potentially burdensome for small businesses and startups.
  • Users find the limited customization options in Tembo frustrating compared to other tools, affecting their overall experience.

What Are Recent G2 Reviews of Tembo?

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 appreciate the ease of use of Arango, finding its interface and query language accessible and intuitive.
  • Users appreciate the flexibility of Arango DB, combining multiple data models effortlessly while maintaining strong performance.
  • Users value the flexible querying capabilities of Arango, enhancing performance and simplifying complex data handling.
  • Users appreciate the intuitive dashboard and AQL query language, simplifying database management and making it accessible to all.
  • Users appreciate the customization options of Arango, allowing versatile data models and simplifying application architecture.
Cons
  • Users find poor usability in Arango, particularly due to limited editor features and complicated setups for operations.
  • Users find the learning curve difficult, particularly when starting with new databases and complex queries.
  • Users find improvement needed in ArangoDB's graphical aspect, editor quality, and setup complexity for specific tasks.
  • Users find the learning curve steep initially, particularly when building new databases and handling complex queries.
  • Users struggle with the steep learning curve of Arango, especially when starting to build databases.

What Are Recent G2 Reviews of Arango?

What Are G2 Users Discussing About Arango?

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 appreciate the ease of use of Tiger Data, finding it simple to access, analyze, and visualize data.
  • Users appreciate the easy setup of Tiger Data, enabling quick integration and management of scalable vector databases.
  • Users praise the setup ease of Tiger Data, finding it quick to start and easy to maintain.
  • Users value the easy access and impactful analytics of Tiger Data, enhancing decision-making with clarity.
  • Users praise the high performance of Tiger Data, enhancing speed, accuracy, and ease of data management.
Cons
  • Users feel the pricing of Tiger Data is expensive, especially for smaller projects and startups seeking flexibility.
  • Users feel the expensive licensing significantly impacts affordability, especially for hobby projects with a $50 monthly fee.
  • Users find the missing features in Tiger Data limiting, particularly lacking a vector visualizer and a complete Terraform provider.
  • Users find the poor UI of Tiger Data can lead to slow loading and a heavy interface experience.
  • Users experience slow performance from the heavy interface, particularly when handling large datasets, affecting overall usability.

What Are Recent G2 Reviews of Tiger Data?

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 use of CrateDB, enjoying its simple UI and quick setup for database management.
  • Users appreciate the speed and native SQL interface of CrateDB, enabling seamless queries on structured and semi-structured data.
  • Users find easy integrations with CrateDB, enabling seamless connectivity with various tools and data types.
  • Users appreciate the flexibility of CrateDB, enabling seamless handling of diverse data types and instant querying capabilities.
  • Users value CrateDB's intuitive UI and robust multi-model support, enhancing functionality for diverse data needs.
Cons
  • Users note a lack of features in CrateDB, particularly in comparison tools and advanced functions for analytics.
  • Users express concerns about software limitations, such as a lack of advanced features and control options.
  • Users express concerns about limited features, particularly regarding connectors, security, and advanced analytics in CrateDB.
  • Users note poor documentation for CrateDB, especially regarding Kubernetes configurations and integration with other systems.
  • Users find complex configuration challenging, particularly with Kubernetes and limited sharding control, affecting ease of use.

What Are Recent G2 Reviews of CrateDB?

Opster

Opster takes care of your entire search operation. Unlike managed services that handle only infrastructure-related management, Opster will cover everything you need to successfully run Elasticsearch and OpenSearch. Opster supports Elasticsearch and OpenSearch on-prem, cloud providers and/or managed services. No matter how you’re running your deployment, you can benefit from Opster’s solutions and services.

Average Rating: 5.0/5.0

Total Reviews: 10

How Do G2 Users Rate Opster?

  • Application Performance: 8.9/10 (Category avg: 8.9/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)
  • Scalability: 9.2/10 (Category avg: 9.0/10)
  • Provisioning: 10.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Opster?

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 60% Medium, 40% Small

What Are Recent G2 Reviews of Opster?

What Are G2 Users Discussing About Opster?

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 commend the high scalability of Fauna, enabling seamless development and efficient global data handling.
  • Users appreciate the ease of use of Fauna, enabling effortless setup and simple, powerful querying with FQL.
  • Users value the flexibility of Fauna, appreciating its blend of document-based and relational database capabilities.
  • Users praise Fauna's excellent customer support, making the transition and learning process smooth and efficient.
  • Users value the easy integrations of Fauna, enabling quick setup and seamless adaptation to their development needs.
Cons
  • Users find the difficult learning curve of Fauna challenging, hindering effective use and exploration of its features.
  • Users struggle with poor documentation for Fauna, making it difficult to find patterns and guidelines for usage.
  • Users find the debugging complexity of Fauna's type system challenging, compounded by the absence of full text search.
  • Users find the complex setup for on-premise architecture challenging, lacking sufficient documentation for easier deployment.
  • Users express concern over cost issues with Fauna, feeling the pricing model lacks true pay-per-use flexibility.

What Are Recent G2 Reviews of Fauna?

What Are G2 Users Discussing About Fauna?

Alibaba ApsaraDB RDS for MySQL

Alibaba Cloud develops highly scalable cloud computing and data management services.

Average Rating: 4.3/5.0

Total Reviews: 13

How Do G2 Users Rate Alibaba ApsaraDB RDS for MySQL?

  • Application Performance: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.8/10)
  • Scalability: 9.2/10 (Category avg: 9.0/10)
  • Provisioning: 9.2/10 (Category avg: 8.8/10)

Who Is the Company Behind Alibaba ApsaraDB RDS for MySQL?

  • Seller: Alibaba
  • HQ Location: Hangzhou
  • LinkedIn® Page: www.linkedin.com
    5,321 employees on LinkedIn®
  • Ownership: BABA
  • Total Revenue (USD mm): $509,711

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 46% Small, 31% Medium

What Are Recent G2 Reviews of Alibaba ApsaraDB RDS for MySQL?

What Are G2 Users Discussing About Alibaba ApsaraDB RDS for MySQL?

Rachana Hasyagar
RH
Researched and written by Rachana Hasyagar
Updated October 3, 2024