# Best Real-time Analytic Database Software

## How Many Real-time Analytic Database Software Products Does G2 Track?

**Total Products under this Category:** 29

### Category Stats (Jul 2026)

- **Average Rating:** 4.54/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** QStory (+1.85%) - Among all products in this category, QStory recorded the largest rating increase compared to last month

_Last updated: July 29, 2026_

## How Does G2 Rank Real-time Analytic Database Software Products?

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

- 30 Analysts and Data Experts
- 600+ Authentic Reviews
- 29+ 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 Real-time Analytic Database Software
 ![G2 Grid® for Real-time Analytic Database Software plotting products by satisfaction and market presence](https://www.g2.com/categories/real-time-analytic-database/grids.png?focus%5B%5D=16850&focus%5B%5D=6118&focus%5B%5D=6114&focus%5B%5D=1204266&focus%5B%5D=64262)

Highlighted products: CrateDB, SingleStore, KX, StarTree, and Materialize.

Underlying data: [Grid® JSON](https://www.g2.com/categories/real-time-analytic-database/grids.json?focus%5B%5D=cratedb&focus%5B%5D=singlestore&focus%5B%5D=kx-kx&focus%5B%5D=startree&focus%5B%5D=materialize)

**Sponsored**

### RaimaDB

RaimaDB: The High-Performance Embedded Database for Edge and IoT Systems RaimaDB is a high-performance, small-footprint database designed for edge computing, IoT, and embedded systems. Built on over three decades of database innovation, RaimaDB provides a powerful, reliable, and resource-efficient solution for developers building applications where data integrity, speed, and local storage are critical. Unlike large-scale enterprise databases, RaimaDB is purpose-built for environments with limited memory and processing power—such as industrial controllers, automotive systems, medical devices, and network appliances. Its lightweight architecture allows for fast transactions, deterministic performance, and minimal overhead, making it ideal for real-time applications. RaimaDB supports both SQL and C/C++ APIs, giving developers flexibility in how they access and manage data. It’s fully ACID-compliant, ensuring data reliability even in harsh or disconnected environments. With advanced features like in-memory performance, high availability, and flexible replication, RaimaDB enables secure local data processing while still integrating seamlessly with cloud or enterprise systems when connectivity is restored. The database can be deployed on a wide range of operating systems, including Linux, embedded Linux, Windows, QNX, and VxWorks, and can run on both ARM and x86 architectures. Its modular design allows for efficient scaling—from compact single-board computers to complex distributed networks. Trusted by global leaders in industries such as automotive, aerospace, energy, and telecommunications, RaimaDB powers mission-critical systems that demand reliability and speed. Developers choose RaimaDB for its ease of integration, low maintenance requirements, and proven performance under demanding conditions. Whether you’re building the next generation of connected devices or optimizing data handling at the edge, RaimaDB provides the robust foundation you need. Experience the efficiency of a database built for embedded and real-time systems—fast, reliable, and ready for the future of intelligent data management.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1006054&secure%5Bchosen_at%5D=2026-07-29T08%3A40%3A42Z&secure%5Bdisplayable_resource_id%5D=1761&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=neighbor_category&secure%5Bplacement_resource_ids%5D%5B%5D=1761&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=6173&secure%5Bresource_id%5D=1006054&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Freal-time-analytic-database&secure%5Btoken%5D=a21010971d1deede9f48658a037a783ef9c24585a8326e2201d6289e673a06b3&secure%5Burl%5D=https%3A%2F%2Fraima.com%2Fdownload-trial%2F%3Futm_content%3Dproducts-raimadb-reviews%26utm_medium%3Dreferral%26utm_source%3Dg2&secure%5Burl_type%5D=free_trial)

### [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?

- **Ease of Use:** 8.9/10 (Category avg: 8.3/10)
- **Quality of Support:** 9.1/10 (Category avg: 8.9/10)

#### 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)

### [SingleStore](https://www.g2.com/products/singlestore/reviews)

SingleStore enables organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads — all in one unified platform.

**Average Rating:** 4.5/5.0

**Total Reviews:** 114

#### How Do G2 Users Rate SingleStore?

- **Ease of Use:** 8.7/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.7/10 (Category avg: 8.9/10)

#### Who Is the Company Behind SingleStore?

- **Seller:** [SingleStore](https://www.g2.com/sellers/singlestore)
- **Year Founded:** 2011
- **HQ Location:** San Francisco, CA
- **Twitter:** @SingleStoreDB  
15,447 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=68da530597901fc5ca326dcf43701994deeb0888ea3e7ec107126345d0fd8c81&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsinglestore%2F&secure%5Burl_type%5D=linkedin_company_website)  
549 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Software Developer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 39% Large, 37% Small

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

**["Singlestore is best in market compared to Google's Bigquery"](https://www.g2.com/survey_responses/singlestore-review-10241332)**

**Rating:** 5.0/5.0 stars

_— Satwik L._

[Read full review](https://www.g2.com/survey_responses/singlestore-review-10241332)

**["Great near real-time analytics database"](https://www.g2.com/survey_responses/singlestore-review-9379490)**

**Rating:** 4.5/5.0 stars

_— Matt N._

[Read full review](https://www.g2.com/survey_responses/singlestore-review-9379490)

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

- [What are the benefits and drawbacks of using SingleStore for database management?](https://www.g2.com/discussions/what-are-the-benefits-and-drawbacks-of-using-singlestore-for-database-management)
- [What is SingleStore used for?](https://www.g2.com/discussions/what-is-singlestore-used-for)

### [KX](https://www.g2.com/products/kx-kx/reviews)

We power the time-aware data-driven decisions that enable fast-moving organizations to realize the full potential of their AI investments and outpace competitors. Our technology delivers transformational value by addressing data challenges around completeness, timeliness, and efficiency. We enable organizations to understand change over time and generate faster, more accurate insights — at any scale, and with cost efficiency. Our technology is essential to the operations of the world's top investment banks, aerospace and defense, high-tech manufacturing, healthcare and life sciences, automotive, and fleet telematics organizations. The primary audience for KX encompasses line-of-business leaders, developers, data scientists, and data engineers who require sophisticated analytics capabilities to create high-performance, data-driven applications. With its unmatched speed and scalability, KX allows users to efficiently process large volumes of data, whether in cloud environments, on-premises, or at the edge. This flexibility ensures that organizations can integrate KX technology into their existing workflows seamlessly, enhancing their analytical capabilities without causing disruptions to ongoing operations. KX distinguishes itself in the analytics landscape through its independently benchmarked performance, recognized as the fastest available on the market. This speed is vital for businesses that depend on real-time data insights to inform their decision-making processes. By enabling users to uncover richer, actionable insights quickly, KX facilitates faster and more informed choices, driving competitive advantage and transformative growth. Its ability to manage complex data sets and deliver insights promptly is particularly advantageous for industries that operate in fast-paced environments, where timely information is critical. Key features of KX include advanced time series and vector data analytics capabilities, which enable efficient management and analysis of extensive data volumes. Furthermore, KX integrates seamlessly with popular analytics tools, enhancing their performance and allowing users to maximize their existing investments. The platform's architecture is designed for high performance, ensuring that organizations can scale their analytics operations as needed without sacrificing speed or efficiency. With a global presence across North America, Europe, and Asia Pacific, KX is trusted by leading organizations to spearhead their data and AI initiatives. By providing a powerful analytics solution, KX not only enhances operational efficiency but also fosters a culture of innovation, empowering businesses to remain competitive in an increasingly data-driven world.

**Average Rating:** 4.6/5.0

**Total Reviews:** 50

#### How Do G2 Users Rate KX?

- **Ease of Use:** 6.7/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.7/10 (Category avg: 8.9/10)

#### Who Is the Company Behind KX?

- **Seller:** [KX](https://www.g2.com/sellers/kx-a145756d-91d3-463e-a51d-9e13b1ac577c)
- **Year Founded:** 1996
- **HQ Location:** NY, USA
- **Twitter:** @kxsystems  
4,168 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=eef4e5083e8584217de5e815e0456b4102092203ee10366e8b6e38767635c2ca&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fkx-systems&secure%5Burl_type%5D=linkedin_company_website)  
492 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Financial Services, Banking
- **Company Size:** 57% Large, 25% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **lightning-fast performance** of KX's kx-dashboard, making report creation quick and efficient.
- Users praise the **exceptional performance** of KX, highlighting its speed and efficiency in dashboard creation.
- Users highlight the **powerful and versatile** capabilities of KX products for efficient data processing and problem-solving.
- Users admire the **powerful and versatile tools** of KX, enhancing productivity and problem-solving efficiency.
- Users highlight the **unparalleled real-time data processing** of KX, enabling swift and informed decision-making in dynamic markets.

##### Cons

- Users find the **learning curve steep** , requiring significant time and dedication to master KX effectively.
- Users find the **difficult learning** curve of KX challenging, especially due to a lack of external resources.
- Users find the **learning curve steep** for KX, making initial understanding and coding efficiency challenging.
- Users find KX licenses **expensive** , especially for hobbyists and small organizations, impacting long-term adoption decisions.
- Users face **initial difficulties** with KX due to limited resources and challenges in integration with other applications.

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

**["The best ecosystem for quants and data engineers"](https://www.g2.com/survey_responses/kx-review-10651130)**

**Rating:** 5.0/5.0 stars

_— Alex T._

[Read full review](https://www.g2.com/survey_responses/kx-review-10651130)

**["KX is an incredible company with the best time-series database in the world."](https://www.g2.com/survey_responses/kx-review-11467454)**

**Rating:** 5.0/5.0 stars

_— Kenan D._

[Read full review](https://www.g2.com/survey_responses/kx-review-11467454)

### [StarTree](https://www.g2.com/products/startree/reviews)

StarTree Cloud is a fully-managed user-facing real-time analytics Database-as-a-Service (DBaaS) designed for OLAP at massive speed and scale. Based on Apache Pinot™, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment.

**Average Rating:** 4.5/5.0

**Total Reviews:** 29

#### How Do G2 Users Rate StarTree?

- **Ease of Use:** 7.5/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.7/10 (Category avg: 8.9/10)

#### Who Is the Company Behind StarTree?

- **Seller:** [StarTree](https://www.g2.com/sellers/startree)
- **Company Website:** www.startree.ai
- **Year Founded:** 2019
- **HQ Location:** Mountain View, California
- **Twitter:** @startreedata  
2,275 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e534c8f5e5f9df114b4965256c16ce258d0fb0785c7f3647229ba8b574a5f6d9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fstartreedata%2F&secure%5Burl_type%5D=linkedin_company_website)  
118 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 38% Small, 31% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **exceptional real-time performance** of StarTree, enabling rapid insights from large datasets effortlessly.
- Users appreciate the **real-time analytics capabilities** of StarTree, facilitating quick insights and robust performance at scale.
- Users appreciate the **ease of use** of StarTree, enjoying quick onboarding and an intuitive interface for analytics.
- Users enjoy the **fast querying** capabilities of StarTree, enabling quick data exploration and efficient analytics at scale.
- Users find StarTree's **intuitive interface** simplifies onboarding and enhances everyday analytics tasks for all users.

##### Cons

- Users face a **steep learning curve** with StarTree, making initial setup and configuration challenging for new teams.
- Many users find the **complex setup** of StarTree challenging, especially for those unfamiliar with technical configurations.
- Users find the **difficult setup** process challenging, particularly for new users needing better documentation and support.
- Users find the **insufficient documentation** challenging, complicating setup and understanding of advanced features.
- Users often find **poor documentation** a barrier, making setup and configuration more challenging than necessary.

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

**["Powerful Real-Time Analytics with Intuitive Interface and Seamless Scalability"](https://www.g2.com/survey_responses/startree-review-11958223)**

**Rating:** 4.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/startree-review-11958223)

**["Blazing-Fast Real-Time Analytics with Intuitive UI"](https://www.g2.com/survey_responses/startree-review-11977802)**

**Rating:** 5.0/5.0 stars

_— Verified User in Graphic Design_

[Read full review](https://www.g2.com/survey_responses/startree-review-11977802)

### [Materialize](https://www.g2.com/products/materialize/reviews)

Materialize is a modern responsive front-end framework based on material design.

**Average Rating:** 4.7/5.0

**Total Reviews:** 15

#### How Do G2 Users Rate Materialize?

- **Ease of Use:** 9.5/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.1/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Materialize?

- **Seller:** [Materialize](https://www.g2.com/sellers/materialize)
- **Year Founded:** 2019
- **HQ Location:** Los Angeles, CA
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7c7e78cc6b04c0b2c15c3b3cd12f23ce2a01cf80b2254f72bc5976227dd6a455&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmaterialize-pro&secure%5Burl_type%5D=linkedin_company_website)  
26 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 56% Small, 44% Medium

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

**["Building Applications with pre-builted components!"](https://www.g2.com/survey_responses/materialize-review-4124787)**

**Rating:** 4.5/5.0 stars

_— Spencer R._

[Read full review](https://www.g2.com/survey_responses/materialize-review-4124787)

**["A great CSS and JS framework"](https://www.g2.com/survey_responses/materialize-review-1343271)**

**Rating:** 4.5/5.0 stars

_— Parth M._

[Read full review](https://www.g2.com/survey_responses/materialize-review-1343271)

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

- [What is Materialize used for?](https://www.g2.com/discussions/what-is-materialize-used-for)

### [ClickHouse](https://www.g2.com/products/clickhouse/reviews)

ClickHouse is the fastest and most resource efficient real-time database and data warehouse. ClickHouse is optimized to serve a wide range of data-intensive workloads, from powering interactive user-facing dashboards to running ad-hoc historical analysis over petabytes of data. Today, ClickHouse Cloud is used by enterprises all over the world, including Lyft, Sony, IBM, GitLab, Twilio, HubSpot, and many more. ClickHouse is available open-source or through cloud services on AWS, GCP, and soon, Azure.

**Average Rating:** 4.5/5.0

**Total Reviews:** 22

#### How Do G2 Users Rate ClickHouse?

- **Ease of Use:** 8.8/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.9/10)

#### Who Is the Company Behind ClickHouse?

- **Seller:** [ClickHouse](https://www.g2.com/sellers/clickhouse)
- **Year Founded:** 2021
- **HQ Location:** Palo Alto, US
- **Twitter:** @ClickhouseDB  
18,013 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bf65982c864c1fa8c702a55ef5dfa198c293802cb4c26fc0b27b7d7677e1a6e8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fclickhouseinc%2F&secure%5Burl_type%5D=linkedin_company_website)  
577 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 52% Small, 39% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **exceptional query performance** of ClickHouse, enabling fast and efficient analytics on large datasets.
- Users appreciate the **exceptional availability** of ClickHouse, enhancing their ability to perform real-time analytics efficiently.
- Users value ClickHouse for its **exceptional big data handling** , drastically improving analytics speed and efficiency.
- Users appreciate the **exceptional query performance** of ClickHouse, enjoying fast and efficient analytics on large datasets.
- Users value the **exceptional query performance** of ClickHouse, enabling fast analytics on large datasets efficiently.

##### Cons

- Users find **beginner unfriendliness** in ClickHouse due to the complexity of query optimizations for newcomers.
- Users find the **complex usage** challenging, especially for those unfamiliar with query optimizations in ClickHouse.
- Users find that **complex query optimization** can be challenging for new users due to required expertise.
- Users find that **required expertise** for complex query optimizations can pose challenges, especially for newcomers.
- Users find that **training is required** for complex query optimizations, posing challenges for new users.

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

**["Best Tool for Collecting Logs and Traces for My AI Data Warehouse"](https://www.g2.com/survey_responses/clickhouse-review-12563218)**

**Rating:** 5.0/5.0 stars

_— Pintraj K._

[Read full review](https://www.g2.com/survey_responses/clickhouse-review-12563218)

**["ClickHouse Delivers Blazing-Fast Performance for Real-Time Analytics"](https://www.g2.com/survey_responses/clickhouse-review-12540827)**

**Rating:** 5.0/5.0 stars

_— Sachin S._

[Read full review](https://www.g2.com/survey_responses/clickhouse-review-12540827)

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

- [Why is ClickHouse faster?](https://www.g2.com/discussions/why-is-clickhouse-faster)
- [Is ClickHouse SQL database?](https://www.g2.com/discussions/is-clickhouse-sql-database)
- [Is ClickHouse a datawarehouse?](https://www.g2.com/discussions/is-clickhouse-a-datawarehouse)
- [What is ClickHouse good for?](https://www.g2.com/discussions/what-is-clickhouse-good-for)

### [Rayven](https://www.g2.com/products/rayven/reviews)

What is Rayven? Rayven is an operational software platform that delivers an AI data fabric - connecting every system, data source, and data stream across a business into a single managed environment, then letting teams build custom apps, AI agents, workflow automations, dashboards, and MCP servers for direct AI model connectivity on top. It is the platform for organisations that need to act on operational data in real-time, deploy AI that actually works in production + build software that fits the way their business operates - without replacing existing systems or waiting 18 months for results. The Problem Rayven Solves Most organisations already have the systems and data they need. The challenge is fragmentation. ERP systems, SCADA platforms, IoT devices, databases, cloud tools, and files all generate valuable data - but it sits in silos, impossible to act on in real-time. The result: manual reporting, disconnected workflows, and AI projects that fail before reaching production. Industry research shows 95% of AI projects never ship - most because the underlying data layer is not clean, connected, or ready. Rayven builds that foundation first, then activates it. The Rayven Platform Rayven operates across five unified layers, delivered as a single managed environment: - Integration: More than 600 pre-built connectors pull data from IT, OT, IoT, files, APIs, databases, and data streams - bidirectionally, in real-time. Connects industrial protocols (OPC UA, Modbus, MQTT, BACnet) alongside cloud platforms, business systems, and proprietary tools. - Data: All connected data lands in a single managed platform - structured, governed + AI-ready. Real-time processing, ETL pipelines, data lakes, and AI model training handled in one place. - Execution: Automation rules, predictive models + agentic AI run directly on live operational data. Rules-based logic, machine learning, and goal-seeking autonomous agents all operate in one execution environment. - Presentation: Custom apps, dashboards, portals, conversational interfaces, and mobile applications deployed from the same platform - built for specific workflows, not generic reporting. - Security, Governance + Hosting: Role-based access control, data lineage, audit trails, AES-256 encryption, data residency controls, and enterprise-grade infrastructure - included as standard. AI Capabilities Rayven includes ten native AI capabilities built directly into the platform: 1. Custom AI agents (goal-seeking, action-taking) 2. Predictive analytics and machine learning 3. Conversational analytics 4. Real-time and continuous model training 5. AI-led workflow automation 6. Multimodal processing (documents, video, images, audio) 7. Anomaly and risk detection 8. Forecasting and optimisation 9. Vision and edge AI inference 10. Generative operational summaries MCP server support enables direct connectivity for AI models including Claude, GPT, and others. What Gets Built Rayven customers build and deploy: - Custom operational apps and field applications. - AI agents that monitor conditions, detect anomalies + take corrective action autonomously. - Predictive maintenance and performance models running on live plant data. - Real-time dashboards and executive reporting tools. - Workflow automations spanning IT and OT systems. - Customer and partner portals. - Data pipelines and integration layers. - White-label software products delivered under partner brands. Key Differentiators vs. Point solutions (Zapier, MuleSoft, Power BI, DataRobot): point solutions do one thing well but force teams to stitch together five separate tools to cover integration, data, AI, presentation, and governance. Rayven replaces the stack. vs. Traditional enterprise platforms (SAP, Oracle, Palantir): enterprise platforms take 12-18 months and seven figures to implement. Rayven deploys in two to 12 weeks at fixed scope and fixed price. vs. Low-code app builders (Mendix, OutSystems): app builders handle the presentation layer but do not solve the underlying data and integration problem. Rayven covers the full stack. Technology Compatibility Rayven is fully technology-agnostic and works alongside existing systems: - Cloud platforms: Microsoft Azure, Google Cloud + AWS - Business systems: SAP, Salesforce, Oracle, and Microsoft 365 - OT platforms: Siemens, Rockwell, Schneider Electric, and Ignition - Industrial protocols: OPC UA, Modbus, MQTT, BACnet, and EtherNet/IP - IoT devices: any device with a data output - Custom and proprietary systems via API, webhook, or direct connector Nothing needs to be replaced. Every existing investment is preserved. Who Uses Rayven Rayven serves businesses from growth-stage to large enterprise across 24+ industries globally - manufacturing, mining, construction, infrastructure, logistics, utilities, financial services, healthcare, agriculture, government, and more. Customers across Australia, Europe, North America, South America, and Africa. Named customers include Anglo American, Fulton Hogan, Glencore, Vodafone, NSW Ports, CSIRO, Collective Intelligence, Ramjack, and AngloGold Ashanti. Delivery Options - DIY: Full platform access. Internal teams build and deploy independently. - Done-For-You: Australia-based delivery team. Fixed scope, fixed price, two to 12 weeks from brief to go-live. - Hybrid: Guided delivery first, with the customer's team taking increasing ownership over time. By the Numbers - More than 600 pre-built connectors. - Ten native AI capabilities. - More than 240 deployments live globally. - Rated 5/5 across more than 140 independent reviews. - Deploys 66% faster than traditional development. - Two to 12 weeks to first working solution. - Rayven exists to close the gap: 95% of AI projects never reach production (industry average).

**Average Rating:** 4.9/5.0

**Total Reviews:** 29

#### How Do G2 Users Rate Rayven?

- **Ease of Use:** 9.9/10 (Category avg: 8.3/10)
- **Quality of Support:** 9.9/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Rayven?

- **Seller:** [Rayven](https://www.g2.com/sellers/rayven)
- **Year Founded:** 2016
- **HQ Location:** Sydney, AU
- **Twitter:** @RayvenIOT  
56 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1d006407e153419f0571c4dc74bc360e0abc0d6d0be9334a3fff870a267b0972&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Frayveniot%2F&secure%5Burl_type%5D=linkedin_company_website)  
33 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Retail
- **Company Size:** 69% Medium, 52% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users commend Rayven's **ease of use** , highlighting effortless automation and streamlined integration through intuitive drag-and-drop features.
- Users appreciate Rayven's **robust handling of large-scale data** and advanced AI capabilities, enhancing operational efficiency and flexibility.
- Users praise Rayven for its **exceptional automation** capabilities, significantly streamlining data workflows and enhancing operational efficiency.
- Users appreciate Rayven's **customization capabilities** , allowing tailored solutions that enhance integration and streamline operations efficiently.
- Users appreciate Rayven's **robust data management** , enabling real-time processing and integration across complex systems with ease.

##### Cons

- Users find the **learning curve steep** initially, requiring time and guidance to fully grasp all features.
- Users find **difficult learning** curves with Rayven's features, requiring time and guidance for smoother onboarding experiences.
- Users experience a **steep learning curve** initially, requiring time and additional resources to fully understand the platform.
- Users find the **complex setup** challenging, especially with advanced features and multi-site deployments requiring careful planning.
- Users note the **setup complexity** of Rayven, requiring assistance for advanced integrations and lengthy initial configurations.

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

**["Seamless Automation and Predictive Maintenance with Rayven"](https://www.g2.com/survey_responses/rayven-review-12211094)**

**Rating:** 5.0/5.0 stars

_— Keith N._

[Read full review](https://www.g2.com/survey_responses/rayven-review-12211094)

**["Rayven's Low-Code Platform is the Fastest Way to Build and Scale Intelligent Apps"](https://www.g2.com/survey_responses/rayven-review-11780301)**

**Rating:** 5.0/5.0 stars

_— John M._

[Read full review](https://www.g2.com/survey_responses/rayven-review-11780301)

### [DoubleCloud](https://www.g2.com/products/doublecloud/reviews)

DoubleCloud is winding down operations. The company ceased creating new accounts on October 1, 2024, and will completely close on March 1, 2025. DoubleCloud specialized in data analytics infrastructure, offering managed services for open-source data technologies. Throughout its operations, DoubleCloud provided tools for building data pipelines, including solutions for data ingestion, storage, orchestration, ELT, and real-time visualization. The company was committed to helping businesses streamline and optimize their data operations with powerful, open-source-based technologies.

**Average Rating:** 4.9/5.0

**Total Reviews:** 4

#### How Do G2 Users Rate DoubleCloud?

- **Ease of Use:** 9.2/10 (Category avg: 8.3/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.9/10)

#### Who Is the Company Behind DoubleCloud?

- **Seller:** [DoubleCloud](https://www.g2.com/sellers/doublecloud)
- **Year Founded:** 2022
- **HQ Location:** Dubai, AE
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=01272ee532fd3415443e5581a6de1678aeb4656536034b35c30ce737ec45edd3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdoublecloudplatform%2F&secure%5Burl_type%5D=linkedin_company_website)  
6 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 75% Small, 25% Medium

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

**["Cost-effective and reliable managed service for Clickhouse"](https://www.g2.com/survey_responses/doublecloud-review-9843068)**

**Rating:** 5.0/5.0 stars

_— George P._

[Read full review](https://www.g2.com/survey_responses/doublecloud-review-9843068)

**["Best Managed Service for Kafka and Clickhouse"](https://www.g2.com/survey_responses/doublecloud-review-9736764)**

**Rating:** 5.0/5.0 stars

_— Adarsh T._

[Read full review](https://www.g2.com/survey_responses/doublecloud-review-9736764)

### [CelerData Cloud](https://www.g2.com/products/celerdata-cloud/reviews)

CelerData Cloud is the fastest, secure analytical engine that powers customer-facing and AI-driven analytics at scale, delivering consistently reliable and unbeatable performance with a future-proof architecture—ensuring real-time access to open data without ingestion delays or costly data pipelines. Powered by StarRocks, CelerData delivers 3X the performance/cost of any other solution on the market and is the only platform uniquely designed to enable users to simplify their lakehouse architecture and ditch the need for a data warehouse. CelerData is used worldwide by market-leading brands including Coinbase, Pinterest, Demandbase, and Expedia to generate critical new insights for these data-driven companies.

**Average Rating:** 4.8/5.0

**Total Reviews:** 3

#### How Do G2 Users Rate CelerData Cloud?

- **Ease of Use:** 9.4/10 (Category avg: 8.3/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.9/10)

#### Who Is the Company Behind CelerData Cloud?

- **Seller:** [CelerData](https://www.g2.com/sellers/celerdata)
- **Year Founded:** 2022
- **HQ Location:** Menlo Park, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7b55c698292526ff0f29a160acbccbbcf7af7f19294ac7203dd3473fc9d51e40&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fstarrocks&secure%5Burl_type%5D=linkedin_company_website)  
65 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 67% Small, 33% Large

#### What Do G2 Reviewers Say About CelerData Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **world-class customer support** from CelerData Cloud, enhancing their overall data management experience.
- Users value the **extraordinarily fast query performance** of CelerData Cloud, enhanced by excellent support for their data needs.
- Users praise the **incredibly fast query performance** and strong support of CelerData Cloud, enhancing their data strategy.
- Users appreciate the **fast communication** of CelerData Cloud, enhancing data strategy transformation with swift support and query performance.
- Users value the **incredibly fast query performance** of CelerData Cloud, which enhances their data strategy significantly.

#### What Are Recent G2 Reviews of CelerData Cloud?

**["Transforming Big Data with StarRocks"](https://www.g2.com/survey_responses/celerdata-cloud-review-11609872)**

**Rating:** 5.0/5.0 stars

_— Emre K._

[Read full review](https://www.g2.com/survey_responses/celerdata-cloud-review-11609872)

**["A powerful SQL engine for your most demanding workloads"](https://www.g2.com/survey_responses/celerdata-cloud-review-11630143)**

**Rating:** 4.5/5.0 stars

_— Ye Z._

[Read full review](https://www.g2.com/survey_responses/celerdata-cloud-review-11630143)

### [InfluxDB](https://www.g2.com/products/influxdata-influxdb/reviews)

InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 300 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University at https://university.influxdata.com

**Average Rating:** 4.4/5.0

**Total Reviews:** 98

#### How Do G2 Users Rate InfluxDB?

- **Ease of Use:** 8.5/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.6/10 (Category avg: 8.9/10)

#### Who Is the Company Behind InfluxDB?

- **Seller:** [InfluxData](https://www.g2.com/sellers/influxdata-c4358581-7be9-4eec-a0bc-bd083f9c5468)
- **Year Founded:** 2012
- **HQ Location:** San Francisco, California
- **Twitter:** @InfluxData  
22 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e449f4c231d7fd3567374afe4a101631f64aadea1ec0ccad82bebb46ec82783c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F5159145%2F&secure%5Burl_type%5D=linkedin_company_website)  
179 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 59% Small, 23% Medium

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

**["Best Time-series database"](https://www.g2.com/survey_responses/influxdb-review-9729657)**

**Rating:** 4.5/5.0 stars

_— Verified User in Automotive_

[Read full review](https://www.g2.com/survey_responses/influxdb-review-9729657)

**["Fast, Economical, and Flexible for Time-Series"](https://www.g2.com/survey_responses/influxdb-review-12738371)**

**Rating:** 5.0/5.0 stars

_— Hanna R._

[Read full review](https://www.g2.com/survey_responses/influxdb-review-12738371)

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

- [What are the benefits and drawbacks of using InfluxDB for time-series data storage?](https://www.g2.com/discussions/what-are-the-benefits-and-drawbacks-of-using-influxdb-for-time-series-data-storage)
- [What is InfluxDB used for?](https://www.g2.com/discussions/influxdb-what-is-influxdb-used-for)
- [How do I write an InfluxDB query?](https://www.g2.com/discussions/how-do-i-write-an-influxdb-query)
- [Does Prometheus use InfluxDB?](https://www.g2.com/discussions/does-prometheus-use-influxdb)
- [Is InfluxDB free to use?](https://www.g2.com/discussions/is-influxdb-free-to-use) - 2 comments

### [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?

- **Ease of Use:** 9.0/10 (Category avg: 8.3/10)
- **Quality of Support:** 9.5/10 (Category avg: 8.9/10)

#### 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?

**["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)

**["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)

### [Tinybird](https://www.g2.com/products/tinybird/reviews)

Tinybird is a fully managed ClickHouse® service designed for software developers and AI-native product teams by enabling them to create large-scale real-time analytics projects with minimal effort. Tinybird makes integrating the open source ClickHouse database into applications simpler, faster, and more reliable, allowing engineers to focus on feature development rather than infrastructure management. Tinybird eliminates the complexities associated with traditional database management, making it an ideal choice for teams looking to leverage the power of ClickHouse without the overhead of server maintenance and scaling concerns. The target audience for Tinybird includes software developers, data engineers, technical founders, and AI-native product teams building real-time analytics capabilities in their applications. With the increasing demand for real-time data processing, Tinybird caters to teams that need to deliver insights quickly and efficiently. Use cases for Tinybird span various industries, including SaaS, e-commerce, finance, crypto, AI, and IoT, where real-time data analysis is crucial for decision-making and operational efficiency. By providing a managed service, Tinybird allows software engineers to deploy analytics features in days rather than months, significantly accelerating project timelines. Key features of Tinybird include a hosted ClickHouse database plus managed data ingestion and API layers, which simplify the process of integrating analytics into applications. The built-in authentication tools enhance security and data privacy, with support for row-level access policies using JWTs. Free observability logs storage and querying allow users to keep tabs on usage and performance. AI-native features, including Tinybird Code - a CLI agent with deep ClickHouse expertise - plus the Tinybird MCP Server, make integrating analytics features into LLM apps simpler and more robust. Additionally, Tinybird's architecture is designed to handle scaling automatically, allowing teams to focus on their core development tasks without worrying about understanding a new database or worrying about infrastructure details. For those who desire infrastructure control, Tinybird offers self-managed deployment, for free. This unique combination of features enables users to ship data-driven features rapidly while maintaining high performance and reliability. Tinybird stands out in the real-time analytics database landscape by providing the performance of one of the world's fastest OLAP databases without the associated complexity. By abstracting the technical challenges of managing clusters and provisioning resources, Tinybird empowers teams to innovate and iterate on their products more quickly. The service's emphasis on ease of use and rapid deployment makes it an attractive option for organizations looking to harness the power of real-time analytics without the burden of extensive operational overhead. With Tinybird, users can unlock the potential of their data and drive impactful insights, all while enjoying a seamless and efficient development experience.

**Average Rating:** 4.1/5.0

**Total Reviews:** 14

#### How Do G2 Users Rate Tinybird?

- **Ease of Use:** 7.7/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.6/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Tinybird?

- **Seller:** [Tinybird](https://www.g2.com/sellers/tinybird)
- **Company Website:** tinybird.co
- **Year Founded:** 2019
- **HQ Location:** New York, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e5da8c9289e798ea9ef543204309f2a3120524e5c990f4197c39583ac6532ca8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F35704741&secure%5Burl_type%5D=linkedin_company_website)  
50 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 50% Medium, 36% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise Tinybird for its **ease of use** , enabling smooth integration and efficient data analytics without hassle.
- Users love the **easy integration and real-time analytics** capabilities of Tinybird, enabling swift data-driven decisions.
- Users enjoy the **easy integrations** of Tinybird, enabling seamless connectivity and real-time analytics with minimal effort.
- Users value the **ease of integration and exploration** with Tinybird, appreciating its seamless data analytics capabilities.
- Users value the **easy integrations** with apps like Confluent Cloud, enhancing real-time analytics development.

##### Cons

- Users are frustrated with the **poor customer support** , experiencing slow response times and lacking detailed documentation.
- Users note a **lack of features** in Tinybird, which limits its adaptability and complicates the user experience.
- Users experience a challenging **learning curve** with Tinybird, making it tough to navigate and utilize effectively.
- Users find the **learning difficulty** with Tinybird challenging, making it hard to navigate and fully utilize its features.
- Users note the **limited customization** of Tinybird, which restricts adaptability and may require workarounds for specific needs.

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

**["Best tool for building dashboards and develop low latency APIs"](https://www.g2.com/survey_responses/tinybird-review-9121969)**

**Rating:** 4.0/5.0 stars

_— Maxwel S._

[Read full review](https://www.g2.com/survey_responses/tinybird-review-9121969)

**["Building real-time analytics made simple with Tinybird"](https://www.g2.com/survey_responses/tinybird-review-9122091)**

**Rating:** 4.5/5.0 stars

_— Bhavya J._

[Read full review](https://www.g2.com/survey_responses/tinybird-review-9122091)

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

- [What is Tinybird used for?](https://www.g2.com/discussions/what-is-tinybird-used-for)

### [Apache Pinot](https://www.g2.com/products/apache-pinot/reviews)

Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency

**Average Rating:** 4.8/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate Apache Pinot?

- **Ease of Use:** 5.0/10 (Category avg: 8.3/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Apache Pinot?

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF  
66,168 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b8484c4bb31e87bc0ba9e683d86f2af14309539343a063507c88bcdcff98434d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F215982%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,470 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Medium, 50% Small

#### What Are Recent G2 Reviews of Apache Pinot?

**["Best OLAP"](https://www.g2.com/survey_responses/apache-pinot-review-9563304)**

**Rating:** 4.5/5.0 stars

_— Rahul G._

[Read full review](https://www.g2.com/survey_responses/apache-pinot-review-9563304)

**["Realtime data from microservices to insights"](https://www.g2.com/survey_responses/apache-pinot-review-8426149)**

**Rating:** 5.0/5.0 stars

_— Davi Z._

[Read full review](https://www.g2.com/survey_responses/apache-pinot-review-8426149)

### [Imply](https://www.g2.com/products/imply/reviews)

Our real-time analytics database, built from Apache Druid, enables developers to build the next generation of analytics applications. With Imply, developers can build without constraints as our database lets them create interactive data experiences on streaming and batch data with limitless scale and at the best economics. Imply delivers the complete developer experience for Apache Druid. Founded by its original creators, Imply adds to the speed and scale of the database with committer-driven expertise, effortless operations, and cloud deployment to meet developers’ application requirements with ease. Backed by leading investors including Thoma Bravo, a16z and Bessemer Venture Partners, Imply is on a fast growth trajectory - disrupting the $100B database market - with customers including Twitter, Salesforce, Atlassian, Reddit, and Intercontinental Exchange.

**Average Rating:** 4.3/5.0

**Total Reviews:** 4

#### How Do G2 Users Rate Imply?

- **Ease of Use:** 8.3/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.8/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Imply?

- **Seller:** [Imply Data, Inc.](https://www.g2.com/sellers/imply-data-inc)
- **HQ Location:** San Francisco, US
- **Twitter:** @implydata  
2,003 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a0bebdc8bfdead6136bdc84318e2dcde2ab93de435fa22b84818884ed4456619&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fimply&secure%5Burl_type%5D=linkedin_company_website)  
174 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Large, 25% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **high availability** of Imply, benefiting from dedicated support and flexible cluster management on AWS.
- Users value the **collaboration and support** from Imply's team, enhancing their migration and ongoing technical assistance.
- Users value the **ease of use** of Imply's Hybrid offering, enhancing control and monitoring of AWS clusters.
- Users value the **control and monitoring** features of Imply, enhancing efficiency and reducing costs in data handling.
- Users value the **flexibility** of Imply's solution, enabling effective monitoring and scaling of AWS clusters with ease.

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

**["Imply Druid helped us build a fast performant event driven architecture"](https://www.g2.com/survey_responses/imply-review-10649865)**

**Rating:** 4.0/5.0 stars

_— Divya B._

[Read full review](https://www.g2.com/survey_responses/imply-review-10649865)

**["Great product!!!"](https://www.g2.com/survey_responses/imply-review-10319882)**

**Rating:** 4.5/5.0 stars

_— Yaniv H._

[Read full review](https://www.g2.com/survey_responses/imply-review-10319882)

### [Aerospike](https://www.g2.com/products/aerospike/reviews)

The Aerospike Real-time Data Platform enables organizations to act instantly across billions of transactions while reducing server footprint by up to 80 percent. The Aerospike multi-cloud platform powers real-time applications with predictable sub-millisecond performance up to petabyte-scale with five-nines uptime with globally distributed, strongly consistent data. Applications built on the Aerospike Real-time Data Platform fight fraud, provide recommendations that dramatically increase shopping cart size, enable global digital payments, and deliver hyper-personalized user experiences to tens of millions of customers. Customers such as Airtel, Experian, Nielsen, PayPal, Snap, Wayfair, and Yahoo rely on Aerospike as their data foundation for the future.

**Average Rating:** 4.4/5.0

**Total Reviews:** 80

#### How Do G2 Users Rate Aerospike?

- **Ease of Use:** 8.5/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.9/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Aerospike?

- **Seller:** [Aerospike](https://www.g2.com/sellers/aerospike)
- **Year Founded:** 2009
- **HQ Location:** Mountain View, CA
- **Twitter:** @aerospikedb  
7,825 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a1efcdd1cb1be6598faab632ab3932d491ce3bd25f4cbb89562a0fbedc6323c4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2696852%2F&secure%5Burl_type%5D=linkedin_company_website)  
307 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Marketing and Advertising, Information Technology and Services
- **Company Size:** 45% Medium, 34% Large

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

**["Unbelievably fast database with super replication - started production with it in one day"](https://www.g2.com/survey_responses/aerospike-review-4484061)**

**Rating:** 5.0/5.0 stars

_— Aleksander K._

[Read full review](https://www.g2.com/survey_responses/aerospike-review-4484061)

**["NOSQL database that is highly scalable."](https://www.g2.com/survey_responses/aerospike-review-4548629)**

**Rating:** 4.5/5.0 stars

_— Shashank S._

[Read full review](https://www.g2.com/survey_responses/aerospike-review-4548629)

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

- [How has Aerospike supported your real-time data processing, and what do you like most about it?](https://www.g2.com/discussions/how-has-aerospike-supported-your-real-time-data-processing-and-what-do-you-like-most-about-it)
- [What is Aerospike used for?](https://www.g2.com/discussions/aerospike-what-is-aerospike-used-for)
- [Is NoSQL an Aerospike?](https://www.g2.com/discussions/is-nosql-an-aerospike)
- [Is Aerospike free?](https://www.g2.com/discussions/is-aerospike-free)
- [What is Aerospike used for?](https://www.g2.com/discussions/what-is-aerospike-used-for)

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Similar Categories

- [Relational Databases](/categories/relational-databases)
- [NoSQL Databases](/categories/nosql-databases)
- [Database Management Systems (DBMS)](/categories/database-management-systems-dbms)
- [Big Data](/categories/big-data)

- [Database as a Service (DBaaS)](/categories/database-as-a-service-dbaas)
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- [Time Series Databases](/categories/time-series-databases)
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[Browse Real-time Analytic Database Themes](/categories/real-time-analytic-database/themes)

 ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi")
SJ

Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)

Updated December 15, 2024

Real-time analytic or streaming databases are designed to process and analyze high volumes of data in near real time.

Traditional [relational databases](https://www.g2.com/categories/relational-databases) process and store historical data in batch modes and can thus provide insights into past trends. Real-time analytic databases go one step further by processing the data in real time and generating updates immediately for any queries registered, helping companies make data-driven decisions. These tools help data science teams combine past and present data for predictive analytics.

Real-time analytic databases process data as it arrives and helps organizations to make informed decisions and take immediate actions with the most recent information.

To qualify for inclusion in the Real-Time Analytic Database category, a product must:

- Offer real-time data processing
- Have event-driven architecture
- Provide lower query latency and execute queries continuously as they are registered

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