# Best Real-time Analytic Database Software

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

**Total Products under this Category:** 32

### Category Stats (Aug 2026)

- **Average Rating:** 4.54/5 The average rating of products in this category, based on all submitted ratings

_Last updated: August 27, 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
- 32+ 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**

### Amazon Aurora

Amazon Aurora is a fully managed relational database service that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Compatible with MySQL and PostgreSQL, Aurora delivers up to five times the throughput of standard MySQL databases and up to three times that of standard PostgreSQL databases. It is designed for high availability, offering up to 99.99% availability within a single region and up to 99.999% across multiple regions. Aurora's architecture includes a distributed, fault-tolerant storage system that automatically scales up to 128 tebibytes, ensuring continuous data access and durability. Additionally, Aurora provides serverless configurations, allowing automatic scaling based on application needs, and integrates seamlessly with other AWS services for machine learning and analytics. Key Features and Functionality: - High Performance: Delivers up to five times the throughput of MySQL and three times that of PostgreSQL, enabling efficient handling of demanding workloads. - High Availability: Designed for up to 99.99% availability within a single region and up to 99.999% across multiple regions, ensuring continuous data access. - Scalability: Automatically scales storage up to 128 tebibytes and supports up to 15 read replicas for read-intensive applications. - Serverless Configuration: Offers Aurora Serverless, which automatically adjusts capacity based on application demand, eliminating the need for manual provisioning. - Machine Learning Integration: Integrates with Amazon SageMaker and Amazon Comprehend, allowing for in-database machine learning capabilities without data movement. - Security: Provides multiple layers of security, including network isolation, encryption at rest and in transit, and compliance with various industry standards. Primary Value and Solutions Provided: Amazon Aurora addresses the need for a high-performance, highly available, and scalable relational database service that is cost-effective and easy to manage. By offering compatibility with MySQL and PostgreSQL, it allows organizations to migrate existing applications without significant code changes. Aurora's automatic scaling and serverless options cater to applications with variable workloads, reducing operational overhead and costs. Its integration with AWS machine learning services enables real-time analytics and predictive capabilities directly within the database, enhancing application functionality. Overall, Aurora simplifies database management while delivering enterprise-grade performance and reliability.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1006054&secure%5Bchosen_at%5D=2026-08-28T09%3A17%3A22Z&secure%5Bdisplayable_resource_id%5D=1006054&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1006054&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=40868&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=5ff0106e5df42f533c57261f51f0b899d6998a6a24c787ccd15a53148112bfbc&secure%5Burl%5D=https%3A%2F%2Faws.amazon.com%2Frds%2Faurora%2F%3Ftrk%3De719367b-1b6a-44ad-96bd-1ea7e2809cf6%26sc_channel%3Ddisplay%2Bads&secure%5Burl_type%5D=custom_url)

### [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 value the **ease of setup and SQL querying** in CrateDB, enhancing their productivity and efficiency.
- Users appreciate the **fast and native SQL interface** of CrateDB, enabling instant queries on structured and semi-structured data.
- Users appreciate the **easy integrations** of CrateDB, streamlining the process for accessing varied data types efficiently.
- Users value the **flexibility** of CrateDB, enabling diverse deployment setups and adaptable solutions for various needs.
- Users value the **versatile data support** in CrateDB, enjoying features like multi-model data and advanced search capabilities.

##### Cons

- Users note a **lack of features** in CrateDB, particularly missing comparative insights and advanced analytical SQL functionalities.
- Users find **software limitations** in CrateDB, such as a lack of connectors and advanced SQL functions, concerning.
- Users express concerns over **limited features** in CrateDB, affecting its suitability for diverse operational needs and analytics.
- Users find the **documentation lacking** , especially regarding custom configurations and integrations in CrateDB.
- Users find **complex configuration** challenging due to limited documentation and lack of control over sharding in CrateDB.

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

**["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)

**["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)

### [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?

**["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)

**["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)

#### 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 admire the **lightning-fast speed** of KX's kx-dashboard, enhancing their experience in creating user reports and dashboards.
- Users find KX's **performance exceptional** , appreciating its speed and advanced functionalities for creating dashboards and reports.
- Users highlight the **extreme power and versatility** of KX products, appreciating their efficiency in data processing.
- Users praise the **powerful and versatile tools** of KX, enhancing problem-solving efficiency with advanced support and development.
- Users commend KX for its **unparalleled real-time data processing** , enabling quick and efficient, data-driven decisions.

##### 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 limited external resources and cryptic programming language.
- Users note a **steep learning curve** with KX due to limited external resources, but find training materials helpful.
- Users find KX licenses to be **expensive** , especially for hobby users or small organizations with limited needs.
- Users find the **initial difficulties** with KX challenging due to steep learning curves and limited online resources.

#### 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, allowing fast analytics and insights from large datasets.
- Users appreciate the **real-time analytics efficiency** of StarTree, enabling fast insights and effortless exploration of large datasets.
- Users praise the **ease of use** of StarTree, highlighting its intuitive interface and quick data onboarding for analytics teams.
- Users appreciate the **extremely fast querying** capabilities of StarTree, enabling efficient real-time analytics with low latency.
- Users appreciate the **intuitive interface** of StarTree, enhancing their experience with real-time analytics and quick data exploration.

##### Cons

- Users note a **steep learning curve** with StarTree, which can challenge new teams unfamiliar with real-time OLAP systems.
- Users find the **complex setup** process challenging, especially new users managing configurations and integrations.
- Users find the **difficult setup** challenging, particularly due to complex configurations and unclear documentation for new users.
- Users struggle with **insufficient documentation** , making initial setup and complex configurations challenging, particularly for new users.
- Users find the **documentation lacking** , making initial configuration complex and challenging for new users to navigate.

#### 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 value the **exceptional query performance** of ClickHouse, enabling lightning-fast and efficient analytics on large datasets.
- Users praise the **high availability** of ClickHouse, ensuring seamless performance even with large data loads.
- Users praise ClickHouse for its **exceptional big data handling** , enabling fast analytics and efficient performance on large datasets.
- Users value the **exceptional query performance** of ClickHouse, enhancing their data analytics experience significantly.
- Users value the **efficient data storage** of ClickHouse, enhancing performance for large-scale analytics seamlessly.

##### Cons

- Users find **beginner unfriendliness** in ClickHouse due to the complexity of query optimizations requiring advanced knowledge.
- Users find that **complex usage** of ClickHouse necessitates advanced expertise, posing challenges for beginners.
- Users find that **complex query optimizations** demand specialized knowledge, posing challenges for newcomers to ClickHouse.
- Users find that **required expertise for complex queries** can be challenging, especially for newcomers to ClickHouse.
- 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/fr/products/rayven/reviews)

Qu'est-ce que Rayven ? Rayven est une plateforme logicielle opérationnelle qui fournit une structure de données AI - connectant chaque système, source de données et flux de données d'une entreprise dans un environnement géré unique, permettant ensuite aux équipes de créer des applications personnalisées, des agents AI, des automatisations de flux de travail, des tableaux de bord et des serveurs MCP pour une connectivité directe aux modèles AI. C'est la plateforme pour les organisations qui ont besoin d'agir sur les données opérationnelles en temps réel, de déployer une AI qui fonctionne réellement en production et de construire des logiciels qui s'adaptent à la façon dont leur entreprise fonctionne - sans remplacer les systèmes existants ou attendre 18 mois pour obtenir des résultats. Le problème que Rayven résout La plupart des organisations disposent déjà des systèmes et des données dont elles ont besoin. Le défi est la fragmentation. Les systèmes ERP, les plateformes SCADA, les appareils IoT, les bases de données, les outils cloud et les fichiers génèrent tous des données précieuses - mais elles sont cloisonnées, impossibles à exploiter en temps réel. Le résultat : des rapports manuels, des flux de travail déconnectés et des projets AI qui échouent avant d'atteindre la production. Les recherches industrielles montrent que 95 % des projets AI ne sont jamais livrés - la plupart parce que la couche de données sous-jacente n'est pas propre, connectée ou prête. Rayven construit d'abord cette fondation, puis l'active. La plateforme Rayven Rayven fonctionne à travers cinq couches unifiées, livrées comme un environnement géré unique : - Intégration : Plus de 600 connecteurs préconstruits extraient des données de l'IT, OT, IoT, des fichiers, des APIs, des bases de données et des flux de données - bidirectionnellement, en temps réel. Connecte les protocoles industriels (OPC UA, Modbus, MQTT, BACnet) aux côtés des plateformes cloud, des systèmes d'entreprise et des outils propriétaires. - Données : Toutes les données connectées arrivent dans une plateforme gérée unique - structurée, gouvernée et prête pour l'AI. Traitement en temps réel, pipelines ETL, lacs de données et formation de modèles AI gérés en un seul endroit. - Exécution : Les règles d'automatisation, les modèles prédictifs et l'AI agentique fonctionnent directement sur les données opérationnelles en direct. La logique basée sur des règles, l'apprentissage automatique et les agents autonomes cherchant des objectifs opèrent tous dans un environnement d'exécution. - Présentation : Applications personnalisées, tableaux de bord, portails, interfaces conversationnelles et applications mobiles déployées à partir de la même plateforme - conçues pour des flux de travail spécifiques, pas pour des rapports génériques. - Sécurité, Gouvernance et Hébergement : Contrôle d'accès basé sur les rôles, traçabilité des données, pistes d'audit, cryptage AES-256, contrôles de résidence des données et infrastructure de niveau entreprise - inclus de série. Capacités AI Rayven inclut dix capacités AI natives intégrées directement dans la plateforme : 1. Agents AI personnalisés (cherchant des objectifs, prenant des actions) 2. Analytique prédictive et apprentissage automatique 3. Analytique conversationnelle 4. Formation de modèles en temps réel et continue 5. Automatisation des flux de travail dirigée par l'AI 6. Traitement multimodal (documents, vidéo, images, audio) 7. Détection d'anomalies et de risques 8. Prévision et optimisation 9. Vision et inférence AI en périphérie 10. Résumés opérationnels génératifs Le support du serveur MCP permet une connectivité directe pour les modèles AI incluant Claude, GPT et d'autres. Ce qui est construit Les clients de Rayven construisent et déploient : - Applications opérationnelles personnalisées et applications de terrain. - Agents AI qui surveillent les conditions, détectent les anomalies et prennent des mesures correctives de manière autonome. - Modèles de maintenance prédictive et de performance fonctionnant sur des données d'usine en direct. - Tableaux de bord en temps réel et outils de reporting exécutif. - Automatisations de flux de travail couvrant les systèmes IT et OT. - Portails clients et partenaires. - Pipelines de données et couches d'intégration. - Produits logiciels en marque blanche livrés sous des marques partenaires. Principaux différenciateurs vs. Solutions ponctuelles (Zapier, MuleSoft, Power BI, DataRobot) : les solutions ponctuelles font bien une chose mais obligent les équipes à assembler cinq outils distincts pour couvrir l'intégration, les données, l'AI, la présentation et la gouvernance. Rayven remplace la pile. vs. Plateformes d'entreprise traditionnelles (SAP, Oracle, Palantir) : les plateformes d'entreprise prennent 12 à 18 mois et sept chiffres pour être mises en œuvre. Rayven se déploie en deux à 12 semaines avec un périmètre et un prix fixes. vs. Constructeurs d'applications low-code (Mendix, OutSystems) : les constructeurs d'applications gèrent la couche de présentation mais ne résolvent pas le problème sous-jacent des données et de l'intégration. Rayven couvre toute la pile. Compatibilité technologique Rayven est entièrement agnostique en matière de technologie et fonctionne aux côtés des systèmes existants : - Plateformes cloud : Microsoft Azure, Google Cloud et AWS - Systèmes d'entreprise : SAP, Salesforce, Oracle et Microsoft 365 - Plateformes OT : Siemens, Rockwell, Schneider Electric et Ignition - Protocoles industriels : OPC UA, Modbus, MQTT, BACnet et EtherNet/IP - Appareils IoT : tout appareil avec une sortie de données - Systèmes personnalisés et propriétaires via API, webhook ou connecteur direct Rien n'a besoin d'être remplacé. Chaque investissement existant est préservé. Qui utilise Rayven Rayven sert des entreprises allant de la phase de croissance à la grande entreprise dans plus de 24 industries à l'échelle mondiale - fabrication, exploitation minière, construction, infrastructure, logistique, services publics, services financiers, santé, agriculture, gouvernement, et plus encore. Clients à travers l'Australie, l'Europe, l'Amérique du Nord, l'Amérique du Sud et l'Afrique. Les clients nommés incluent Anglo American, Fulton Hogan, Glencore, Vodafone, NSW Ports, CSIRO, Collective Intelligence, Ramjack et AngloGold Ashanti. Options de livraison - DIY : Accès complet à la plateforme. Les équipes internes construisent et déploient de manière indépendante. - Fait pour vous : Équipe de livraison basée en Australie. Périmètre fixe, prix fixe, deux à 12 semaines du brief à la mise en service. - Hybride : Livraison guidée d'abord, avec l'équipe du client prenant progressivement plus de responsabilités. Par les chiffres - Plus de 600 connecteurs préconstruits. - Dix capacités AI natives. - Plus de 240 déploiements en direct à l'échelle mondiale. - Noté 5/5 sur plus de 140 avis indépendants. - Se déploie 66 % plus rapidement que le développement traditionnel. - Deux à 12 semaines pour une première solution fonctionnelle. - Rayven existe pour combler le fossé : 95 % des projets AI n'atteignent jamais la production (moyenne de l'industrie).

**Average Rating:** 4.9/5.0

**Total Reviews:** 29

#### How Do G2 Users Rate Rayven?

- **Facilité d’utilisation:** 9.9/10 (Category avg: 8.3/10)
- **Qualité du support:** 9.9/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Rayven?

- **Vendeur:** [Rayven](https://www.g2.com/fr/sellers/rayven)
- **Année de fondation:** 2016
- **Emplacement du siège social:** Sydney, AU
- **Twitter:** @RayvenIOT  
56 abonnés Twitter
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/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 employés sur LinkedIn®

#### Who Uses This Product?

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

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

_AI-generated summary from verified user reviews_

##### Pros

- Les utilisateurs apprécient la **facilité d'utilisation** de Rayven, permettant une intégration transparente et la création de flux de travail sans compétences en codage.
- Les utilisateurs apprécient Rayven pour son **intégration de données en temps réel** et l'unification transparente de divers outils en un système efficace.
- Les utilisateurs apprécient les **capacités d'automatisation** de Rayven, permettant une intégration transparente et une unification des données en temps réel pour un suivi des performances amélioré.
- Les utilisateurs apprécient les capacités de **personnalisation** de Rayven, permettant des solutions sur mesure pour répondre sans effort aux besoins spécifiques en matière de santé.
- Les utilisateurs apprécient la **gestion robuste des données** de Rayven, permettant un traitement en temps réel et une automatisation efficace à travers divers systèmes.

##### Cons

- Les utilisateurs signalent une **courbe d'apprentissage initiale abrupte** en raison de configurations complexes et de la nécessité de connaissances techniques.
- Les utilisateurs trouvent la **courbe d'apprentissage difficile** difficile en raison de la configuration initiale écrasante et des configurations de fonctionnalités complexes.
- Les utilisateurs trouvent la **difficulté d'apprentissage** difficile en raison de la configuration initiale écrasante et des processus de configuration complexes.
- Les utilisateurs trouvent la **configuration complexe** de Rayven difficile, nécessitant une planification approfondie pour une utilisation et une intégration efficaces.
- Les utilisateurs trouvent la **complexité de l'installation** difficile, nécessitant souvent un soutien supplémentaire pour les intégrations et configurations avancées.

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

**["Automatisation transparente et maintenance prédictive avec Rayven"](https://www.g2.com/fr/survey_responses/rayven-review-12211094)**

**Rating:** 5.0/5.0 stars

_— Keith N._

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

**["La plateforme low-code de Rayven est le moyen le plus rapide de créer et de faire évoluer des applications intelligentes."](https://www.g2.com/fr/survey_responses/rayven-review-11780301)**

**Rating:** 5.0/5.0 stars

_— John M._

[Read full review](https://www.g2.com/fr/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?

**["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)

**["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)

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

CelerData Cloud est le moteur analytique le plus rapide et sécurisé qui alimente les analyses orientées client et pilotées par l'IA à grande échelle, offrant des performances constamment fiables et imbattables avec une architecture pérenne—assurant un accès en temps réel aux données ouvertes sans délais d'ingestion ni pipelines de données coûteux. Propulsé par StarRocks, CelerData offre une performance/coût 3 fois supérieure à toute autre solution sur le marché et est la seule plateforme conçue de manière unique pour permettre aux utilisateurs de simplifier leur architecture de data lake et d'abandonner le besoin d'un entrepôt de données. CelerData est utilisé dans le monde entier par des marques leaders du marché, y compris Coinbase, Pinterest, Demandbase et Expedia, pour générer de nouvelles informations critiques pour ces entreprises axées sur les données.

**Average Rating:** 4.8/5.0

**Total Reviews:** 3

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

- **Facilité d’utilisation:** 9.4/10 (Category avg: 8.3/10)
- **Qualité du support:** 10.0/10 (Category avg: 8.9/10)

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

- **Vendeur:** [CelerData](https://www.g2.com/fr/sellers/celerdata)
- **Année de fondation:** 2022
- **Emplacement du siège social:** Menlo Park, US
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/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 employés sur 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

- Les utilisateurs apprécient le **support client excellent** de CelerData Cloud, ce qui améliore leur expérience globale et leur confiance dans le produit.
- Les utilisateurs apprécient la **performance de requête incroyablement rapide** de CelerData Cloud, renforçant leur confiance dans la transformation de leur stratégie de données.
- Les utilisateurs apprécient la **performance de requête incroyablement rapide** de CelerData Cloud, soutenue par une équipe de support fiable et serviable.
- Les utilisateurs apprécient la **communication rapide** avec CelerData Cloud, permettant une transformation des données efficace et un support à grande échelle.
- Les utilisateurs apprécient la **performance de requête incroyablement rapide** de CelerData Cloud, améliorant ainsi la mise en œuvre et le support de leur stratégie de données.

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

**["Transformer les Big Data avec StarRocks"](https://www.g2.com/fr/survey_responses/celerdata-cloud-review-11609872)**

**Rating:** 5.0/5.0 stars

_— Emre K._

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

**["Un moteur SQL puissant pour vos charges de travail les plus exigeantes"](https://www.g2.com/fr/survey_responses/celerdata-cloud-review-11630143)**

**Rating:** 4.5/5.0 stars

_— Ye Z._

[Read full review](https://www.g2.com/fr/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)  
167 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 60% Small, 23% Medium

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

**["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)

**["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)

#### 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:** 32

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

- **Ease of Use:** 8.9/10 (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:** Financial Services, Computer Software
- **Company Size:** 78% Small, 19% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **clean and intuitive UI** of Tiger Data, making navigation and setup effortless.
- Users highlight the **easy setup** of Tiger Data, allowing quick integration and efficient management of databases.
- Users appreciate the **ease of setup** , finding it quick and straightforward to start using Tiger Data.
- Users value the **ease of access and actionable insights** provided by Tiger Data, enhancing decision-making and analytics.
- Users value the **easy integrations** with various plugins, facilitating swift setup and management of databases.

##### Cons

- Users find the **pricing to be high** and inflexible, especially for smaller projects or startups.
- Users find Tiger Data's **expensive licensing** burdensome, especially for hobby projects, making budgeting essential for scaling.
- Users express concerns about **missing features** like advanced visualizers and experience slow UI when managing many tables.
- Users experience **poor UI** with slow loading times, especially when handling large datasets, affecting overall workflow efficiency.

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

**["Effective tool for data insights"](https://www.g2.com/survey_responses/tiger-data-review-11740247)**

**Rating:** 4.0/5.0 stars

_— Kartikey A._

[Read full review](https://www.g2.com/survey_responses/tiger-data-review-11740247)

**["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)
- **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)  
52 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 find Tinybird to be **incredibly easy to use** , enabling seamless integration and efficient data analytics development.
- Users value the **ease of integration and real-time analytics** offered by Tinybird, enhancing their data experience.
- Users love the **easy integrations** of Tinybird, enabling seamless connections and fast development of real-time analytics.
- Users appreciate Tinybird's **ease of integration and exploration** , making data analytics simple and efficient for developers.
- Users value the **easy integrations** with apps like Confluent Cloud for streamlined real-time analytics and development.

##### Cons

- Users report **poor customer support** , highlighting slow response times and insufficient documentation for new users.
- Users note a **lack of features** in Tinybird, limiting integrations and hindering data flow and scalability.
- Users experience a **steep learning curve** with Tinybird, making navigation and feature utilization challenging for newcomers.
- Users experience a **learning difficulty** with Tinybird, facing challenges in navigation and utilizing its features effectively.
- Users face **limited customization** with Tinybird, which restricts adaptability and complicates integration with other platforms.

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

**["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)

**["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)

#### 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/fr/products/imply/reviews)

Notre base de données d'analytique en temps réel, construite à partir d'Apache Druid, permet aux développeurs de créer la prochaine génération d'applications analytiques. Avec Imply, les développeurs peuvent construire sans contraintes car notre base de données leur permet de créer des expériences de données interactives sur des données en streaming et par lots avec une échelle illimitée et à la meilleure économie. Imply offre l'expérience complète du développeur pour Apache Druid. Fondée par ses créateurs originaux, Imply ajoute à la vitesse et à l'échelle de la base de données avec une expertise dirigée par les committers, des opérations sans effort et un déploiement dans le cloud pour répondre facilement aux exigences des applications des développeurs. Soutenu par des investisseurs de premier plan, y compris Thoma Bravo, a16z et Bessemer Venture Partners, Imply est sur une trajectoire de croissance rapide - perturbant le marché des bases de données de 100 milliards de dollars - avec des clients tels que Twitter, Salesforce, Atlassian, Reddit et Intercontinental Exchange.

**Average Rating:** 4.3/5.0

**Total Reviews:** 4

#### How Do G2 Users Rate Imply?

- **Facilité d’utilisation:** 8.3/10 (Category avg: 8.3/10)
- **Qualité du support:** 8.8/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Imply?

- **Vendeur:** [Imply Data, Inc.](https://www.g2.com/fr/sellers/imply-data-inc)
- **Emplacement du siège social:** San Francisco, US
- **Twitter:** @implydata  
2,003 abonnés Twitter
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/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 employés sur 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

- Les utilisateurs apprécient la **disponibilité d'un support dédié** de la part des architectes de solutions lors de la migration et de l'assistance technique continue.
- Les utilisateurs apprécient la **collaboration avec des architectes dédiés** , ce qui améliore la gestion efficace des clusters AWS lors de la migration.
- Les utilisateurs apprécient la **facilité d'utilisation** d'Imply, bénéficiant d'un contrôle et d'une surveillance efficaces de leurs clusters.
- Les utilisateurs apprécient la **flexibilité et le contrôle** qu'Imply offre, améliorant leur capacité à gérer et surveiller les clusters efficacement.
- Les utilisateurs apprécient la **flexibilité** d'Imply, permettant le contrôle des clusters et des économies significatives dans la gestion des données.

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

**["Super produit !!!"](https://www.g2.com/fr/survey_responses/imply-review-10319882)**

**Rating:** 4.5/5.0 stars

_— Yaniv H._

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

**["Druid nous a aidés à construire une architecture événementielle rapide et performante."](https://www.g2.com/fr/survey_responses/imply-review-10649865)**

**Rating:** 4.0/5.0 stars

_— Divya B._

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

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

Aerospike est une base de données NoSQL distribuée multi-modèle conçue pour les charges de travail opérationnelles nécessitant un accès aux données à faible latence et à haut débit à grande échelle. Son architecture mémoire hybride combine la RAM et le stockage flash pour offrir des performances proches de la mémoire vive à un coût inférieur à celui des bases de données entièrement en mémoire. Aerospike prend en charge les modèles de données clé-valeur et document, la forte cohérence, les transactions ACID et la scalabilité horizontale à travers les serveurs et les régions. Il est utilisé pour les enchères en temps réel, la détection de fraude, les moteurs de recommandation et la gestion de sessions, où les performances doivent rester prévisibles à mesure que les données et le trafic augmentent.

**Average Rating:** 4.4/5.0

**Total Reviews:** 80

#### How Do G2 Users Rate Aerospike?

- **Facilité d’utilisation:** 8.5/10 (Category avg: 8.3/10)
- **Qualité du support:** 8.9/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Aerospike?

- **Vendeur:** [Aerospike](https://www.g2.com/fr/sellers/aerospike)
- **Année de fondation:** 2009
- **Emplacement du siège social:** Mountain View, CA
- **Twitter:** @aerospikedb  
7,825 abonnés Twitter
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/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 employés sur LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Ingénieur logiciel
- **Top Industries:** Marketing et publicité, Technologie de l'information et services
- **Company Size:** 45% Medium, 34% Large

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

**["Incroyablement rapide base de données avec super réplication - production commencée avec elle en un jour"](https://www.g2.com/fr/survey_responses/aerospike-review-4484061)**

**Rating:** 5.0/5.0 stars

_— Aleksander K._

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

**["Base de données NOSQL qui est hautement évolutive."](https://www.g2.com/fr/survey_responses/aerospike-review-4548629)**

**Rating:** 4.5/5.0 stars

_— Shashank S._

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

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

- [Comment Aerospike a-t-il soutenu votre traitement de données en temps réel, et qu'aimez-vous le plus à son sujet ?](https://www.g2.com/fr/discussions/how-has-aerospike-supported-your-real-time-data-processing-and-what-do-you-like-most-about-it)
- [À quoi sert Aerospike ?](https://www.g2.com/fr/discussions/aerospike-what-is-aerospike-used-for)
- [Is NoSQL an Aerospike?](https://www.g2.com/fr/discussions/is-nosql-an-aerospike)
- [Is Aerospike free?](https://www.g2.com/fr/discussions/is-aerospike-free)
- [What is Aerospike used for?](https://www.g2.com/fr/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)
- [Database Comparison](/categories/database-comparison)
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- [Time Series Databases](/categories/time-series-databases)
- [Vector Database](/categories/vector-database)

[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

Show More