# Best Stream Analytics Software

## How Many Stream Analytics Software Products Does G2 Track?

**Total Products under this Category:** 75

### Category Stats (Aug 2026)

- **Average Rating:** 4.46/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Amazon Kinesis Data Analytics (+0.74%) - Among all products in this category, Amazon Kinesis Data Analytics recorded the largest rating increase compared to last month

_Last updated: August 11, 2026_

## How Does G2 Rank Stream Analytics Software Products?

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

- 30 Analysts and Data Experts
- 3,100+ Authentic Reviews
- 75+ 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 Stream Analytics Software
 ![G2 Grid® for Stream Analytics Software plotting products by satisfaction and market presence](https://www.g2.com/categories/stream-analytics/grids.png?focus%5B%5D=19607&focus%5B%5D=18493&focus%5B%5D=54136&focus%5B%5D=112089&focus%5B%5D=20177&focus%5B%5D=40547&focus%5B%5D=1308827&focus%5B%5D=17348)

Highlighted products: HubSpot Data Hub, Elastic Stack, Tealium, Evam, Amazon OpenSearch Service, Google Cloud Pub/Sub, Amazon Kinesis, and Amazon Kinesis Data Streams.

Underlying data: [Grid® JSON](https://www.g2.com/categories/stream-analytics/grids.json?focus%5B%5D=hubspot-data-hub&focus%5B%5D=elastic-stack&focus%5B%5D=tealium-2026-07-21&focus%5B%5D=evam&focus%5B%5D=amazon-opensearch-service&focus%5B%5D=google-cloud-pub-sub&focus%5B%5D=amazon-web-services-aws-amazon-kinesis&focus%5B%5D=aws-amazon-kinesis-data-streams)

**Sponsored**

### Amazon OpenSearch Service

Amazon OpenSearch Service securely unlocks real-time search, monitoring, and analysis of business and operational data for use cases like application monitoring, log analytics, observability, and website search. To view more pricing details, please visit https://aws.amazon.com/opensearch-service/pricing. To try Amazon OpenSearch Service free today, please visit: https://aws.amazon.com/free/.

[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=1184&secure%5Bchosen_at%5D=2026-08-11T23%3A14%3A19Z&secure%5Bdisplayable_resource_id%5D=1184&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1184&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=20177&secure%5Bresource_id%5D=1184&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fstream-analytics&secure%5Btoken%5D=572206620622da0e48b75c652589c60d0edf3ea6f929fd9f0e30b18944007726&secure%5Burl%5D=https%3A%2F%2Faws.amazon.com%2Fopensearch-service%2Ffeatures%2Fserverless%2F%3Ftrk%3De8fc5908-35b1-4de0-aeb2-52b1ab2ed4be%26sc_channel%3Ddisplay%2Bads&secure%5Burl_type%5D=custom_url)

### [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews)

Data Hub connects, cleanses, and automates customer data across the HubSpot CRM, providing operations teams with tools to maintain data quality, ensure system integration, and streamline business processes. Core Value Proposition: Data Hub addresses critical operational challenges: disconnected data across applications, manual data entry consuming team time, data quality issues undermining business decisions, and complex automation requirements existing tools cannot handle. The platform offers native integrations with other applications to create a more efficient, aligned, and agile business. Key Capabilities: Data Integration: Data Hub connects contacts, leads, and company data between HubSpot and external applications bidirectionally and in real-time. This creates a unified customer data foundation rather than requiring manual data transfer. Data Quality Management: The platform includes tools that maintain a clean database, allowing operations teams to save hours of manual data validation and correction work. Process Automation: Data Hub enables complex business process automation across systems, connecting trigger events in one application to automated actions in another. This streamlines internal workflows and reduces manual coordination. Unified Customer View: By connecting all customer data sources to the HubSpot CRM platform, Data Hub creates a single source of truth that sales, marketing, and service teams can reference for customer interactions. Data Hub vs. Alternatives: Unlike standalone integration platforms (iPaaS) requiring technical expertise to configure and maintain, Data Hub provides native HubSpot integration with a visual interface designed for operations professionals rather than developers. This reduces implementation time and ongoing maintenance requirements. Data Hub eliminates manual data entry and data validation by automating these workflows. The platform guarantees up-to-date data and maintains a clean database without constant manual intervention. Who Should Use Data Hub: Data Hub serves operations teams managing data across multiple systems, organizations experiencing data quality issues affecting business decisions, and companies needing to automate complex cross-system workflows without extensive technical resources. The platform enables business agility as organizations grow. Outcome: Data Hub supercharges your HubSpot CRM with a complete toolkit to connect, clean, and automate customer data, uniting all customer data into one connected platform that results in a friction-free customer experience.

**Average Rating:** 4.5/5.0

**Total Reviews:** 562

#### How Do G2 Users Rate HubSpot Data Hub?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.9/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.8/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.7/10 (Category avg: 8.7/10)

#### Who Is the Company Behind HubSpot Data Hub?

- **Seller:** [HubSpot](https://www.g2.com/sellers/hubspot)
- **Company Website:** hubspot.com
- **Year Founded:** 2006
- **HQ Location:** Cambridge, Massachusetts, United States
- **Twitter:** @HubSpot  
784,270 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e7728cdccf3cd40d382e6159b493e5f6534eb2bfad47dc424c39639ed9e0ebf3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F68529%2F&secure%5Burl_type%5D=linkedin_company_website)  
12,158 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** CEO, Owner
- **Top Industries:** Information Technology and Services, Marketing and Advertising
- **Company Size:** 67% Small, 30% Medium

#### What Do G2 Reviewers Say About HubSpot Data Hub?

_AI-generated summary from verified user reviews_

##### Pros

- Users find HubSpot Data Hub exceptionally **easy to use** , with seamless integrations and intuitive reporting features enhancing workflow efficiency.
- Users value the **two-way data synchronization** of HubSpot Data Hub, enhancing efficiency and collaboration across teams.
- Users appreciate the **automation capabilities** of HubSpot Data Hub, significantly simplifying workflows and enhancing operational efficiency.
- Users appreciate the **seamless data integration** of HubSpot Data Hub, which enhances data management and operational efficiency.
- Users appreciate the **efficiency** of HubSpot Data Hub, significantly saving time and enhancing marketing effectiveness through automation.

##### Cons

- Users find HubSpot Data Hub occasionally **slow and complex** , particularly with scattered tools and complicated sharing settings.
- Users find the **limited features** of HubSpot Data Hub frustrating, especially as some are now behind paywalls.
- Users find the **learning curve complex** , often needing expert assistance to navigate advanced features effectively.
- Users find the **pricing to be expensive** , making it challenging to justify for some business cases.
- Users find the **complexity** of HubSpot Data Hub challenging, often needing expert assistance for advanced features.

#### What Are Recent G2 Reviews of HubSpot Data Hub?

**["HubSpot Data Hub Keeps Customer Data Clean and Centralized"](https://www.g2.com/survey_responses/hubspot-data-hub-review-12562615)**

**Rating:** 4.0/5.0 stars

_— Sagar K._

[Read full review](https://www.g2.com/survey_responses/hubspot-data-hub-review-12562615)

**["A Powerful Platform for Centralizing and Managing Customer Data"](https://www.g2.com/survey_responses/hubspot-data-hub-review-10686855)**

**Rating:** 5.0/5.0 stars

_— Nancy K._

[Read full review](https://www.g2.com/survey_responses/hubspot-data-hub-review-10686855)

#### What Are G2 Users Discussing About HubSpot Data Hub?

- [What is HubSpot Operations Hub used for?](https://www.g2.com/discussions/what-is-hubspot-operations-hub-used-for) - 1 comment

### [Elastic Stack](https://www.g2.com/es/products/elastic-stack/reviews)

El Elastic Stack, comúnmente conocido como el ELK Stack, es un conjunto completo de herramientas de código abierto diseñado para la ingestión, almacenamiento, análisis y visualización de datos en tiempo real. Comprende Elasticsearch, Kibana, Beats y Logstash, permitiendo a los usuarios manejar datos de cualquier fuente y en cualquier formato de manera eficiente. Características y Funcionalidad Clave: - Elasticsearch: Un motor de búsqueda y análisis distribuido basado en JSON que permite el almacenamiento, búsqueda y análisis rápidos de grandes volúmenes de datos. - Kibana: Una interfaz de usuario extensible que proporciona potentes visualizaciones, paneles de control y herramientas de gestión para interpretar y presentar datos de manera efectiva. - Beats y Logstash: Herramientas de ingestión de datos que recopilan y procesan datos de diversas fuentes, transformándolos y enviándolos a Elasticsearch para su indexación. - Integraciones: Una multitud de integraciones preconstruidas que facilitan la recolección de datos y la conexión sin problemas con el Elastic Stack, permitiendo obtener rápidamente información. Valor Principal y Soluciones para el Usuario: El Elastic Stack empodera a las organizaciones para aprovechar al máximo su potencial de datos al proporcionar una plataforma escalable y resiliente para la búsqueda y análisis en tiempo real. Aborda desafíos como la gestión de grandes conjuntos de datos, asegurando alta disponibilidad y entregando resultados de búsqueda relevantes rápidamente. Al ofrecer una solución unificada para la ingestión, almacenamiento, análisis y visualización de datos, el Elastic Stack permite a los usuarios obtener información procesable, mejorar la eficiencia operativa y tomar decisiones informadas basadas en sus datos.

**Average Rating:** 4.5/5.0

**Total Reviews:** 106

#### How Do G2 Users Rate Elastic Stack?

- **¿Ha sido the product un buen socio para hacer negocios?:** 8.3/10 (Category avg: 8.9/10)
- **Facilidad de administración:** 7.4/10 (Category avg: 8.4/10)
- **Calidad del soporte:** 8.2/10 (Category avg: 8.8/10)
- **Facilidad de uso:** 8.0/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Elastic Stack?

- **Vendedor:** [Elastic](https://www.g2.com/es/sellers/elastic)
- **Año de fundación:** 2012
- **Ubicación de la sede:** San Francisco, CA
- **Twitter:** @elastic  
65,200 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bc8e533876f16af617380aaa3922cb6a39a1d6233f0b32a0fa987a5fdffd799e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F814025%2F&secure%5Burl_type%5D=linkedin_company_website)  
5,079 empleados en LinkedIn®
- **Propiedad:** NYSE: ESTC

#### Who Uses This Product?

- **Who Uses This:** Ingeniero de software, Ingeniero de Software Senior
- **Top Industries:** Software de Computadora, Tecnología de la información y servicios
- **Company Size:** 47% Medium, 34% Large

#### What Do G2 Reviewers Say About Elastic Stack?

_AI-generated summary from verified user reviews_

##### Pros

- Los usuarios valoran la **facilidad de uso** de Elastic Stack, que simplifica el análisis de registros y métricas con una interfaz unificada.
- Los usuarios valoran la **flexibilidad** de Elastic Stack, permitiendo una integración y personalización sin problemas para diversas necesidades analíticas.
- Los usuarios valoran la **gestión unificada de registros** de Elastic Stack, mejorando la correlación de problemas y la comprensión del sistema sin problemas.
- Los usuarios valoran la **eficiencia de búsqueda** de Elastic Stack, lo que permite una rápida correlación de problemas y una visión integral del sistema.
- Los usuarios valoran la **versatilidad** de Elastic Stack, disfrutando de su integración sin problemas y flexibilidad a través de varios modelos de implementación.

##### Cons

- Los usuarios encuentran la **gestión de recursos desafiante** en Elastic Stack debido a las altas demandas y las pronunciadas curvas de aprendizaje.
- Los usuarios informan de **problemas de complejidad** con Elastic Stack, citando desafíos en la gestión, ajuste de rendimiento y curvas de aprendizaje pronunciadas.
- Los usuarios encuentran que Elastic Stack es **caro a gran escala** debido a los altos requisitos de recursos y los costos adicionales de licencias.
- Los usuarios encuentran que el **alto uso de memoria** de Elastic Stack puede llevar a un aumento de costos y complejidad a gran escala.
- Los usuarios encuentran la **curva de aprendizaje empinada** para Elastic Stack, necesitando experiencia para una gestión óptima del clúster y rendimiento.

#### What Are Recent G2 Reviews of Elastic Stack?

**["Elastic Stack: Escalabilidad en Tiempo Real, Búsqueda Rápida y Potentes Visualizaciones de Kibana"](https://www.g2.com/es/survey_responses/elastic-stack-review-12683691)**

**Rating:** 5.0/5.0 stars

_— Jai P._

[Read full review](https://www.g2.com/es/survey_responses/elastic-stack-review-12683691)

**["Gestión Centralizada de Registros Potente con Elastic Stack"](https://www.g2.com/es/survey_responses/elastic-stack-review-12951407)**

**Rating:** 4.0/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/es/survey_responses/elastic-stack-review-12951407)

#### What Are G2 Users Discussing About Elastic Stack?

- [¿Cómo ha impactado Elastic Stack en sus capacidades de búsqueda y análisis de datos, y qué recomienda a los nuevos usuarios?](https://www.g2.com/es/discussions/how-has-elastic-stack-impacted-your-data-search-and-analytics-capabilities-and-what-do-you-recommend-to-new-users)
- [What is Kibana monitoring?](https://www.g2.com/es/discussions/what-is-kibana-monitoring)
- [¿Qué son Grafana y Kibana?](https://www.g2.com/es/discussions/what-is-grafana-and-kibana) - 1 comment
- [What is Kibana built with?](https://www.g2.com/es/discussions/what-is-kibana-built-with)
- [¿Cuáles son las características de Kibana?](https://www.g2.com/es/discussions/what-are-the-features-of-kibana) - 1 comment

### [Tealium](https://www.g2.com/products/tealium-2026-07-21/reviews)

Tealium is a customer data orchestration platform designed to connect customer engagement data across an organization in real time. By bringing together data from web, mobile, server-side, cloud, and offline sources, Tealium helps brands build a complete and current view of the customer, then take action on that data across teams, systems, and channels. Tealium is designed for marketing, data, analytics, customer experience, and IT teams that need trusted customer data for personalization, audience management, analytics, and operational decision-making. It helps organizations collect and standardize event data, resolve identity into persistent profiles, enrich data with business logic and real-time context, and activate that data across downstream tools. Tealium also supports consent enforcement across collection and activation, helping teams govern customer data as it moves through the stack. Key capabilities of Tealium include tag management, API-based and server-side data collection, profile unification, audience and event activation, and data delivery across a broad integration ecosystem. Tealium works with existing technology investments and data clouds, rather than requiring a rip-and-replace approach, and supports real-time, scheduled, and triggered activation patterns. It can also prepare clean, consented customer context for AI models and agents, then help activate resulting outputs across channels. Globally, organizations use Tealium to connect customer data from web, mobile, server-side, API, cloud, and offline sources, build persistent profiles with real-time identity resolution and enrichment, activate audiences and signals through real-time, scheduled, and triggered workflows, and enforce consent and governance controls across collection, orchestration, and activation. For organizations that need customer data to be usable everywhere decisions are made, Tealium provides one governed foundation for turning customer data into action.

**Average Rating:** 4.3/5.0

**Total Reviews:** 445

#### How Do G2 Users Rate Tealium?

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10)
- **Ease of Admin:** 7.9/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.9/10 (Category avg: 8.8/10)
- **Ease of Use:** 7.7/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Tealium?

- **Seller:** [Tealium](https://www.g2.com/sellers/tealium)
- **Company Website:** www.tealium.com
- **Year Founded:** 2011
- **HQ Location:** San Diego, CA
- **Twitter:** @tealium  
4,730 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=862b8691ee01ed9a7b7eddf26f7f0fbe95df109ef1f79344c9feeac38372dbd6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F211380%2F&secure%5Burl_type%5D=linkedin_company_website)  
557 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Web Analyst
- **Top Industries:** Financial Services, Retail
- **Company Size:** 49% Large, 29% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users commend the **ease of use** of Tealium Customer Data Hub, enabling seamless customer data unification and management.
- Users value the **unified customer data management** in Tealium Customer Data Hub, enhancing efficiency and streamlining workflows.
- Users value the **seamless integrations** of Tealium Customer Data Hub, enhancing data unification and usability across various platforms.
- Users value the **real-time processing** of Tealium Customer Data Hub, enhancing efficiency and accuracy in data management.
- Users value the **easy integration** of Tealium Customer Data Hub with various tools, enhancing their marketing and analytics efforts.

##### Cons

- Users face a **steep learning curve** with Tealium Customer Data Hub, often requiring technical expertise for effective navigation.
- Users find the **difficult learning** curve of Tealium Customer Data Hub challenges new users and necessitates technical expertise.
- Users struggle with the **complexity** of Tealium Customer Data Hub, as it has a steep learning curve for non-technical users.
- Users highlight a **steep learning curve** with Tealium Customer Data Hub, making navigation challenging for non-technical individuals.
- Users face a **steep learning curve** with Tealium Customer Data Hub, struggling with complexity and needing technical expertise for setup.

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

**["Unifies Customer Data and Enables Real-Time Marketing Activation"](https://www.g2.com/survey_responses/tealium-review-12708029)**

**Rating:** 4.0/5.0 stars

_— Priyamvadha R._

[Read full review](https://www.g2.com/survey_responses/tealium-review-12708029)

**["A Robust Customer Data Platform for Real-Time Data and Personalization"](https://www.g2.com/survey_responses/tealium-review-12706984)**

**Rating:** 5.0/5.0 stars

_— Kunchakuri R._

[Read full review](https://www.g2.com/survey_responses/tealium-review-12706984)

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

- [What is Tealium AudienceStream CDP used for?](https://www.g2.com/discussions/what-is-tealium-audiencestream-cdp-used-for)
- [What is tealium audience stream?](https://www.g2.com/discussions/what-is-tealium-audience-stream) - 1 comment
- [How much does tealium cost?](https://www.g2.com/discussions/how-much-does-tealium-cost)
- [What is the primary purpose of a CDP?](https://www.g2.com/discussions/what-is-the-primary-purpose-of-a-cdp) - 1 comment
- [What is tealium testing?](https://www.g2.com/discussions/what-is-tealium-testing)

### [Evam](https://www.g2.com/es/products/evam/reviews)

Evam es una empresa líder en tecnología que ofrece soluciones y productos integrales para experiencias de cliente en tiempo real y multicanal. Nuestra tecnología de inteligencia continua de vanguardia aprovecha el análisis de datos en tiempo real para ofrecer un compromiso con el cliente sin igual. Evam empodera a bancos, empresas de telecomunicaciones y otros para manejar miles de millones de interacciones con algoritmos de IA, orquestar recorridos de clientes e interactuar con ellos a través de todos los canales, tanto digitales como tradicionales, en tiempo real. Nuestro objetivo es ayudar a nuestros clientes a aumentar la lealtad del cliente, maximizar el ROI y la eficiencia, y ahorrar tiempo y dinero. Las empresas tienen el menor tiempo de salida al mercado gracias a la plataforma de desarrollo de bajo código, escalable y modular de Evam, aprovechada por un equipo de gestión experimentado y de alta calidad con conocimientos en los dominios de telecomunicaciones y banca. Con docenas de informes de investigación de Forrester y Gartner que reconocen nuestra excelencia en el compromiso con el cliente y el procesamiento de flujos de eventos, nuestra tecnología es confiada por gigantes de la industria como Vodafone, T-Mobile, Jazz, Turkcell, ICBC, TEB/BNP Paribas, ING Bank y Garanti BBVA. Con sede en Londres y oficinas en Ámsterdam, Sofía e Estambul, Evam ofrece sus productos y servicios directamente y a través de más de 20 socios globales. Nuestras soluciones son actualmente utilizadas por más de 600 millones de usuarios finales, procesando 20 mil millones de eventos en más de 15 países cada día.

**Average Rating:** 4.8/5.0

**Total Reviews:** 224

#### How Do G2 Users Rate Evam?

- **¿Ha sido the product un buen socio para hacer negocios?:** 9.8/10 (Category avg: 8.9/10)
- **Facilidad de administración:** 9.6/10 (Category avg: 8.4/10)
- **Calidad del soporte:** 9.5/10 (Category avg: 8.8/10)
- **Facilidad de uso:** 9.2/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Evam?

- **Vendedor:** [EVAM](https://www.g2.com/es/sellers/evam)
- **Sitio web de la empresa:** evam.com
- **Año de fundación:** 2015
- **Ubicación de la sede:** London
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ef7c3495aecca01ded73882855805131ec0e79beba092e035ccccd0cd8cad313&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fevamtech&secure%5Burl_type%5D=linkedin_company_website)  
138 empleados en LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Analista de Negocios Senior
- **Top Industries:** Banca, Telecomunicaciones
- **Company Size:** 36% Large, 34% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Los usuarios elogian a Evam por su **facilidad de uso** , con una interfaz intuitiva que simplifica el diseño y la ejecución de campañas.
- Los usuarios valoran Evam por su **manejo de datos en tiempo real y capacidades de campañas personalizadas** , mejorando significativamente su gestión de campañas.
- Los usuarios valoran Evam por su **diseño intuitivo** , mejorando la creación y ejecución de campañas con facilidad y eficiencia.
- Los usuarios aprecian las **capacidades de automatización** de Evam para crear campañas de marketing eficientes y optimizadas en tiempo real.
- Los usuarios elogian la **flexibilidad de Evam** , permitiendo soluciones personalizadas que se adaptan a diversas necesidades y escalas empresariales.

##### Cons

- Los usuarios encuentran la **curva de aprendizaje empinada** , ya que muchas funciones son complejas y requieren un esfuerzo significativo para dominar.
- Los usuarios encuentran que el sistema de EVAM requiere **un aprendizaje difícil** , lo que plantea desafíos para aquellos que carecen de habilidades técnicas y experiencia.
- Los usuarios encuentran **la pronunciada curva de aprendizaje** de Evam desafiante, especialmente aquellos sin formación técnica.
- Los usuarios encuentran que las **funciones complejas** de Evam pueden ser difíciles de configurar sin conocimientos técnicos previos.
- Los usuarios encuentran la interfaz de Evam **no intuitiva** , lo que complica la creación de campañas y aumenta la necesidad de soporte adicional.

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

**["EVAM hace que la comunicación con el cliente sea eficiente y personal"](https://www.g2.com/es/survey_responses/evam-review-12977000)**

**Rating:** 5.0/5.0 stars

_— GÖRKEM U._

[Read full review](https://www.g2.com/es/survey_responses/evam-review-12977000)

**["Interfaz de usuario/experiencia de usuario intuitiva, conectores de datos en tiempo real y aumento de conversión de 8x"](https://www.g2.com/es/survey_responses/evam-review-12867501)**

**Rating:** 4.5/5.0 stars

_— Alfiya H._

[Read full review](https://www.g2.com/es/survey_responses/evam-review-12867501)

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

- [¿Para qué se utiliza la Plataforma de Inteligencia Continua Evam?](https://www.g2.com/es/discussions/what-is-evam-continuous-intelligence-platform-used-for)

### [Google Cloud Pub/Sub](https://www.g2.com/es/products/google-cloud-pub-sub/reviews)

Ingesta flujos de eventos desde cualquier lugar, a cualquier escala, para análisis de flujos en tiempo real simples y confiables.

**Average Rating:** 4.5/5.0

**Total Reviews:** 34

#### How Do G2 Users Rate Google Cloud Pub/Sub?

- **¿Ha sido the product un buen socio para hacer negocios?:** 8.9/10 (Category avg: 8.9/10)
- **Facilidad de administración:** 7.9/10 (Category avg: 8.4/10)
- **Calidad del soporte:** 8.8/10 (Category avg: 8.8/10)
- **Facilidad de uso:** 8.7/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Google Cloud Pub/Sub?

- **Vendedor:** [Google](https://www.g2.com/es/sellers/google)
- **Año de fundación:** 1998
- **Ubicación de la sede:** Mountain View, CA
- **Twitter:** @google  
31,899,995 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 empleados en LinkedIn®
- **Propiedad:** NASDAQ:GOOG

#### Who Uses This Product?

- **Top Industries:** Software de Computadora, Gestión Educativa
- **Company Size:** 41% Small, 31% Large

#### What Do G2 Reviewers Say About Google Cloud Pub/Sub?

_AI-generated summary from verified user reviews_

##### Pros

- Los usuarios encuentran **la escalabilidad sin problemas** en Google Cloud Pub/Sub, con una gestión e integración sin esfuerzo para cargas de trabajo variables.
- Los usuarios aprecian el **soporte al cliente de primera categoría** de Google Cloud Pub/Sub, mejorando su experiencia y funcionalidad en general.
- Los usuarios encuentran la **facilidad de uso** en Google Cloud Pub/Sub notable, gracias a su interfaz intuitiva y recursos útiles.
- Los usuarios valoran el **fácil acceso** a Google Cloud Pub/Sub, beneficiándose de interfaces intuitivas y créditos generosos para principiantes.
- Los usuarios aprecian las **fáciles integraciones** de Google Cloud Pub/Sub, mejorando la productividad tanto para los productores como para los consumidores.

##### Cons

- Los usuarios encuentran que Google Cloud Pub/Sub es **más caro** en comparación con alternativas como Apache Kafka.
- Los usuarios enfrentan el desafío de la **duplicación de mensajes** con Pub/Sub, lo que requiere código adicional para la desduplicación.
- Los usuarios encuentran que el **procesamiento lento** de Google Cloud Pub/Sub, especialmente para mensajes más grandes, es una desventaja significativa.

#### What Are Recent G2 Reviews of Google Cloud Pub/Sub?

**["Una forma confiable de conectar servicios a través de GCP"](https://www.g2.com/es/survey_responses/google-cloud-pub-sub-review-12557219)**

**Rating:** 4.5/5.0 stars

_— Usuario verificado en Venta al por Menor_

[Read full review](https://www.g2.com/es/survey_responses/google-cloud-pub-sub-review-12557219)

**["Pub/Sub totalmente gestionado con escalabilidad global confiable y de baja latencia"](https://www.g2.com/es/survey_responses/google-cloud-pub-sub-review-12540976)**

**Rating:** 4.5/5.0 stars

_— Claude I._

[Read full review](https://www.g2.com/es/survey_responses/google-cloud-pub-sub-review-12540976)

#### What Are G2 Users Discussing About Google Cloud Pub/Sub?

- [¿Para qué se utiliza Google Cloud Pub/Sub?](https://www.g2.com/es/discussions/what-is-google-cloud-pub-sub-used-for)

### [Amazon OpenSearch Service](https://www.g2.com/es/products/amazon-opensearch-service/reviews)

Amazon OpenSearch Service desbloquea de manera segura la búsqueda en tiempo real, el monitoreo y el análisis de datos empresariales y operativos para casos de uso como el monitoreo de aplicaciones, el análisis de registros, la observabilidad y la búsqueda en sitios web.

**Average Rating:** 4.2/5.0

**Total Reviews:** 97

#### How Do G2 Users Rate Amazon OpenSearch Service?

- **¿Ha sido the product un buen socio para hacer negocios?:** 8.4/10 (Category avg: 8.9/10)
- **Facilidad de administración:** 8.3/10 (Category avg: 8.4/10)
- **Calidad del soporte:** 8.1/10 (Category avg: 8.8/10)
- **Facilidad de uso:** 8.5/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Amazon OpenSearch Service?

- **Vendedor:** [Amazon Web Services (AWS)](https://www.g2.com/es/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Año de fundación:** 2006
- **Ubicación de la sede:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 empleados en LinkedIn®
- **Propiedad:** NASDAQ: AMZN

#### Who Uses This Product?

- **Who Uses This:** Líder Técnico, Ingeniero de software
- **Top Industries:** Software de Computadora, Tecnología de la información y servicios
- **Company Size:** 36% Medium, 33% Large

#### What Are Recent G2 Reviews of Amazon OpenSearch Service?

**["Registros centralizados y análisis para una eficiencia mejorada"](https://www.g2.com/es/survey_responses/amazon-opensearch-service-review-12863310)**

**Rating:** 4.0/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/es/survey_responses/amazon-opensearch-service-review-12863310)

**["Solución escalable y gestionada para análisis de registros"](https://www.g2.com/es/survey_responses/amazon-opensearch-service-review-6571247)**

**Rating:** 4.0/5.0 stars

_— Rajesh V._

[Read full review](https://www.g2.com/es/survey_responses/amazon-opensearch-service-review-6571247)

#### What Are G2 Users Discussing About Amazon OpenSearch Service?

- [What is your experience regarding pricing and costs for Amazon OpenSearch Service, and how has it impacted your search and analytics capabilities?](https://www.g2.com/es/discussions/what-is-your-experience-regarding-pricing-and-costs-for-amazon-opensearch-service-and-how-has-it-impacted-your-search-and-analytics-capabilities)
- [How do I stop AWS Elasticsearch service?](https://www.g2.com/es/discussions/amazon-opensearch-service-how-do-i-stop-aws-elasticsearch-service)
- [How do I stop AWS Elasticsearch service?](https://www.g2.com/es/discussions/how-do-i-stop-aws-elasticsearch-service)
- [How do I use AWS Elasticsearch service?](https://www.g2.com/es/discussions/amazon-opensearch-service-how-do-i-use-aws-elasticsearch-service)
- [How do I use AWS Elasticsearch service?](https://www.g2.com/es/discussions/how-do-i-use-aws-elasticsearch-service)

### [Amazon Kinesis Data Streams](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews)

Amazon Kinesis Data Streams is a massively scalable, durable, and low-cost streaming data service. Kinesis Data Streams can continuously capture gigabytes of data per second from hundreds of thousands of sources, such as website clickstreams, database event streams, financial transactions, social media feeds, IT logs, and location-tracking events. The collected data is available in milliseconds to allow real-time analytics use cases, such as real-time dashboards, real-time anomaly detection, dynamic pricing. Customers run more than two million unique streams and process tens of PB of data per day with Amazon Kinesis Data Streams.

**Average Rating:** 4.3/5.0

**Total Reviews:** 81

#### How Do G2 Users Rate Amazon Kinesis Data Streams?

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.4/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.6/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.4/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Amazon Kinesis Data Streams?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 38% Large, 37% Medium

#### What Do G2 Reviewers Say About Amazon Kinesis Data Streams?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **real-time data processing** capabilities of Amazon Kinesis Data Streams for its low latency and robustness.
- Users appreciate the **real-time data processing capability** of Amazon Kinesis Data Streams, ensuring efficient handling of large data volumes.
- Users appreciate the **real-time data processing capabilities** of Amazon Kinesis Data Streams, ensuring seamless and reliable performance.
- Users appreciate the **real-time data processing capability** of Amazon Kinesis Data Streams, enabling effective handling of large data volumes.
- Users value the **seamless API integration** of Amazon Kinesis Data Streams with other AWS services for enhanced convenience.

##### Cons

- Users find the **difficult setup** of Amazon Kinesis Data Streams confusing, especially regarding shards and cost management.
- Users find the service **expensive** , particularly when not closely monitoring usage and managing costs effectively.
- Users find the **resource-intensive learning** curve steep, particularly for beginners navigating AWS streaming architectures.
- Users find the **complexity** of Amazon Kinesis Data Streams challenging, particularly for newcomers to streaming and AWS.

#### What Are Recent G2 Reviews of Amazon Kinesis Data Streams?

**["Amazon Kinesis Data Streams: Reliable Tool for Real-Time Data Streaming"](https://www.g2.com/survey_responses/amazon-kinesis-data-streams-review-12239194)**

**Rating:** 4.0/5.0 stars

_— SURAJ K._

[Read full review](https://www.g2.com/survey_responses/amazon-kinesis-data-streams-review-12239194)

**["Real-Time Streaming at Scale with Low Latency and Seamless AWS Integration"](https://www.g2.com/survey_responses/amazon-kinesis-data-streams-review-12933879)**

**Rating:** 4.5/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/amazon-kinesis-data-streams-review-12933879)

#### What Are G2 Users Discussing About Amazon Kinesis Data Streams?

- [How do I connect to Amazon Kinesis?](https://www.g2.com/discussions/how-do-i-connect-to-amazon-kinesis)
- [How do you use Kinesis?](https://www.g2.com/discussions/how-do-you-use-kinesis)
- [What is a Kinesis?](https://www.g2.com/discussions/what-is-a-kinesis)
- [What does Amazon Kinesis do?](https://www.g2.com/discussions/what-does-amazon-kinesis-do)

### [Amazon Kinesis](https://www.g2.com/products/amazon-web-services-aws-amazon-kinesis/reviews)

Amazon Kinesis is a suite of managed services designed to collect, process, and analyze real-time streaming data at scale. It enables organizations to handle large volumes of data from diverse sources such as website clickstreams, database event logs, financial transactions, social media feeds, and IoT devices. By facilitating real-time data ingestion and analysis, Kinesis empowers businesses to derive actionable insights promptly, enhancing decision-making processes and operational efficiency. Key Features and Functionality: - Kinesis Data Streams: Allows continuous capture of gigabytes of data per second from multiple sources, providing low-latency access for real-time analytics applications. - Kinesis Data Firehose: Enables reliable loading of streaming data into data lakes, data stores, and analytics services, supporting destinations like Amazon S3, Amazon Redshift, and Amazon Elasticsearch. - Kinesis Data Analytics: Offers real-time processing of streaming data using standard SQL or Apache Flink, allowing users to perform complex queries and transformations without extensive programming. - Kinesis Video Streams: Facilitates secure ingestion, processing, and storage of video streams from connected devices, supporting applications such as machine learning-based video analytics and real-time monitoring. Primary Value and Problem Solved: Amazon Kinesis addresses the challenge of processing and analyzing large-scale, real-time data streams by providing a fully managed, scalable, and secure platform. It eliminates the complexities associated with building and maintaining custom streaming data solutions, allowing organizations to focus on deriving insights and responding to information in real time. This capability is crucial for applications requiring immediate data processing, such as fraud detection, live leaderboards, real-time monitoring, and IoT analytics.

**Average Rating:** 4.7/5.0

**Total Reviews:** 26

#### How Do G2 Users Rate Amazon Kinesis?

- **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.6/10 (Category avg: 8.4/10)
- **Quality of Support:** 9.2/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.7/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Amazon Kinesis?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 41% Medium, 33% Small

#### What Are Recent G2 Reviews of Amazon Kinesis?

**["Amazon Kinesis: Low-Latency Streaming at Massive Scale"](https://www.g2.com/survey_responses/amazon-kinesis-review-13180489)**

**Rating:** 4.5/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/amazon-kinesis-review-13180489)

**["Amazon Kinesis: Empowering Real-Time Insights with Scalability and Integration"](https://www.g2.com/survey_responses/amazon-kinesis-review-9014547)**

**Rating:** 4.0/5.0 stars

_— Ashu S._

[Read full review](https://www.g2.com/survey_responses/amazon-kinesis-review-9014547)

### [Amazon Managed Streaming for Apache Kafka (Amazon MSK)](https://www.g2.com/products/amazon-managed-streaming-for-apache-kafka-amazon-msk/reviews)

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is an AWS streaming data service that manages Apache Kafka infrastructure and operations, making it easy for developers and DevOps managers to run Apache Kafka applications and Kafka Connect connectors on AWS, without the need to become experts in operating Apache Kafka. Amazon MSK operates, maintains, and scales Apache Kafka clusters, provides enterprise-grade security features out of the box, and has built-in AWS integrations that accelerate development of streaming data applications. To get started, you can migrate existing Apache Kafka workloads and Kafka Connect connectors into Amazon MSK, or with a few clicks, you can build new ones from scratch. There are no data transfer charges for in-cluster traffic, and no commitments or upfront payments required. You only pay for the resources that you use.

**Average Rating:** 4.0/5.0

**Total Reviews:** 23

#### How Do G2 Users Rate Amazon Managed Streaming for Apache Kafka (Amazon MSK)?

- **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.7/10 (Category avg: 8.4/10)
- **Quality of Support:** 9.1/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.5/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Amazon Managed Streaming for Apache Kafka (Amazon MSK)?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 46% Small, 33% Medium

#### What Do G2 Reviewers Say About Amazon Managed Streaming for Apache Kafka (Amazon MSK)?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **effortless management** of Kafka with Amazon MSK, enjoying seamless scaling, maintenance, and availability.
- Users value the **maintenance ease** of Amazon MSK, which simplifies Kafka management and integrates well with AWS.
- Users value the **management ease** of Amazon MSK, appreciating its automation of scaling and maintenance tasks.
- Users appreciate the **reliability** of Amazon MSK, which simplifies Kafka management and ensures smooth operations with AWS.
- Users appreciate the **seamless scalability** of Amazon MSK, which simplifies Kafka management and integrates well with AWS.

##### Cons

- Users find the service **expensive** , particularly for smaller workloads or early-stage projects, affecting accessibility.
- Users find the **high cost** of Amazon MSK challenging for smaller workloads and early-stage projects.
- Users find **limited control** with Amazon MSK, especially for smaller projects, impacting flexibility compared to self-managed Kafka.

#### What Are Recent G2 Reviews of Amazon Managed Streaming for Apache Kafka (Amazon MSK)?

**["Amazon MSK Makes Kafka Operations Simple with Seamless Scaling and AWS Integrations"](https://www.g2.com/survey_responses/amazon-managed-streaming-for-apache-kafka-amazon-msk-review-13188811)**

**Rating:** 4.5/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/amazon-managed-streaming-for-apache-kafka-amazon-msk-review-13188811)

**["Amazon MSK Powers Real-Time Streaming Pipelines with Ease"](https://www.g2.com/survey_responses/amazon-managed-streaming-for-apache-kafka-amazon-msk-review-12897575)**

**Rating:** 5.0/5.0 stars

_— mani s._

[Read full review](https://www.g2.com/survey_responses/amazon-managed-streaming-for-apache-kafka-amazon-msk-review-12897575)

#### What Are G2 Users Discussing About Amazon Managed Streaming for Apache Kafka (Amazon MSK)?

- [What are the characteristics of Apache Kafka?](https://www.g2.com/discussions/amazon-managed-streaming-for-apache-kafka-amazon-msk-what-are-the-characteristics-of-apache-kafka)
- [How does AWS MSK work?](https://www.g2.com/discussions/how-does-aws-msk-work)
- [Does AWS MSK support Kafka streams?](https://www.g2.com/discussions/does-aws-msk-support-kafka-streams)
- [What is managed streaming for Apache Kafka?](https://www.g2.com/discussions/what-is-managed-streaming-for-apache-kafka)

### [Cloudera](https://www.g2.com/es/products/cloudera/reviews)

Cloudera es la única empresa de plataforma de datos híbridos e inteligencia artificial en la que las grandes organizaciones confían para llevar la IA a sus datos dondequiera que se encuentren. A diferencia de otros proveedores, Cloudera ofrece una experiencia en la nube consistente que converge nubes públicas, centros de datos locales y el borde, aprovechando una base de código abierto probada. Como pionero en big data, Cloudera capacita a las empresas para aplicar IA y ejercer control sobre el 100% de sus datos, en todas sus formas, mejorando la seguridad, la gobernanza y los conocimientos en tiempo real y predictivos. Las marcas más grandes del mundo en todas las industrias confían en Cloudera para transformar la toma de decisiones y, en última instancia, aumentar los resultados finales, protegerse contra amenazas y salvar vidas. La plataforma de datos e inteligencia artificial de Cloudera incluye: Cloudera AI: Despliega y escala cualquier modelo de IA, en cualquier lugar. Cloudera lleva el cómputo a los datos gobernados donde se encuentren para una IA privada en cualquier lugar por diseño. El control completo, la seguridad y la gobernanza de datos, modelos, agentes e inferencias críticos para la misión aseguran implementaciones de IA soberana más rápidas. Cloudera Data-in-Motion: Toma decisiones rápidas a partir de datos en tiempo real en cualquier lugar. Mueve datos con cualquier estructura desde cualquier fuente a cualquier destino sin problemas a través de entornos híbridos, permitiendo decisiones críticas para el negocio en el momento al procesar y analizar datos en tiempo real en cualquier lugar, desde el borde hasta la IA, a medida que el negocio ocurre. Cloudera Open Data Lakehouse: Procesa cualquier dato, en cualquier lugar, para obtener conocimientos accionables. Toma decisiones inteligentes con un data lakehouse abierto impulsado por Apache Iceberg que ofrece datos confiables, fiables y unificados para alimentar agentes, aplicaciones de IA y análisis, mejorando la colaboración, rompiendo silos y simplificando el intercambio. Cloudera Unified Data Fabric: Unifica la seguridad y la gobernanza en todo el patrimonio de datos. Avanza más allá de la gestión de datos fragmentada: Rompe silos y conecta fuentes de datos dispares de manera inteligente y segura para proporcionar una vista unificada de todos los datos organizacionales y un control centralizado de extremo a extremo en entornos de datos híbridos complejos.

**Average Rating:** 4.1/5.0

**Total Reviews:** 131

#### How Do G2 Users Rate Cloudera?

- **¿Ha sido the product un buen socio para hacer negocios?:** 8.4/10 (Category avg: 8.9/10)
- **Facilidad de administración:** 7.9/10 (Category avg: 8.4/10)
- **Calidad del soporte:** 8.0/10 (Category avg: 8.8/10)
- **Facilidad de uso:** 8.3/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Cloudera?

- **Vendedor:** [Cloudera](https://www.g2.com/es/sellers/cloudera)
- **Sitio web de la empresa:** www.cloudera.com
- **Año de fundación:** 2008
- **Ubicación de la sede:** Santa Clara, CA
- **Twitter:** @cloudera  
106,442 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4b6b5c58818dc39001f93594864d8d88fc876550d3da9306b76f69639a789f14&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F229433%2F&secure%5Burl_type%5D=linkedin_company_website)  
3,446 empleados en LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Ingeniero de Datos, Ingeniero de software
- **Top Industries:** Tecnología de la información y servicios, Software de Computadora
- **Company Size:** 42% Large, 32% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Los usuarios aprecian la **brillante y fácil de usar interfaz** de Cloudera, mejorando su experiencia de análisis de datos.
- Los usuarios valoran la **escalabilidad sin interrupciones** de Cloudera, manejando eficazmente grandes cantidades de datos con facilidad.
- Los usuarios aprecian las **fuertes características de seguridad** de Cloudera, asegurando una gestión y protección de datos confiable.
- Los usuarios valoran Cloudera por sus **herramientas integrales de gestión de big data** , mejorando su experiencia en el manejo y escalabilidad de datos.
- Los usuarios aprecian la **escalabilidad y facilidad de uso** de Cloudera, haciendo que la gestión de datos y la elaboración de informes sea sin esfuerzo.

##### Cons

- Los usuarios señalan que la plataforma de Cloudera puede ser **costosa** de mantener y difícil de configurar, especialmente para principiantes.
- Los usuarios encuentran la **complejidad** de Cloudera desafiante, especialmente al gestionar consultas SQL y personalización.
- Los usuarios encuentran la **curva de aprendizaje empinada** con Cloudera, lo que hace que la configuración y la navegación sean desafiantes para los principiantes.
- Los usuarios encuentran que la **pobre documentación** de Cloudera hace que navegar por configuraciones de datos complejas sea un desafío y complica la resolución de errores.
- Los usuarios enfrentan problemas de **acceso significativos** con Cloudera, incluidos errores de autorización y soporte de documentación limitado.

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

**["Plataforma confiable para gestionar tuberías de datos a gran escala"](https://www.g2.com/es/survey_responses/cloudera-review-11455117)**

**Rating:** 4.5/5.0 stars

_— Paritosh C._

[Read full review](https://www.g2.com/es/survey_responses/cloudera-review-11455117)

**["Fácil de usar, confiable y excelente para la colaboración en equipo"](https://www.g2.com/es/survey_responses/cloudera-review-12695378)**

**Rating:** 4.0/5.0 stars

_— Usuario verificado en Software de Computadora_

[Read full review](https://www.g2.com/es/survey_responses/cloudera-review-12695378)

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

- [¿Para qué se utiliza Cloudera?](https://www.g2.com/es/discussions/what-is-cloudera-used-for) - 1 comment
- [¿Para qué se utiliza Hortonworks Data Platform?](https://www.g2.com/es/discussions/what-is-hortonworks-data-platform-used-for)
- [¿Para qué se utiliza Cloudera Data Flow?](https://www.g2.com/es/discussions/what-is-cloudera-data-flow-used-for)
- [¿Para qué se utiliza Cloudera Navigator?](https://www.g2.com/es/discussions/what-is-cloudera-navigator-used-for)
- [¿Para qué se utiliza Cloudera Data Engineering?](https://www.g2.com/es/discussions/what-is-cloudera-data-engineering-used-for)

### [Amazon Kinesis Data Firehose](https://www.g2.com/es/products/amazon-kinesis-data-firehose/reviews)

Amazon Kinesis Data Firehose es la forma más fácil de cargar de manera confiable flujos en tiempo real en lagos de datos, almacenes y servicios de análisis. Kinesis Data Firehose puede capturar, transformar y cargar datos en streaming en Amazon S3, Amazon Redshift, Amazon OpenSearch Service y Splunk, permitiendo análisis casi en tiempo real con herramientas de inteligencia empresarial y paneles que ya estás utilizando hoy. Es un servicio completamente gestionado que se escala automáticamente para coincidir con el rendimiento de tus datos y no requiere administración continua. También puede agrupar, comprimir y cifrar los datos antes de cargarlos, minimizando la cantidad de almacenamiento utilizado en el destino y aumentando la seguridad.

**Average Rating:** 4.2/5.0

**Total Reviews:** 21

#### How Do G2 Users Rate Amazon Kinesis Data Firehose?

- **¿Ha sido the product un buen socio para hacer negocios?:** 8.9/10 (Category avg: 8.9/10)
- **Facilidad de administración:** 9.2/10 (Category avg: 8.4/10)
- **Calidad del soporte:** 8.3/10 (Category avg: 8.8/10)
- **Facilidad de uso:** 8.4/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Amazon Kinesis Data Firehose?

- **Vendedor:** [Amazon Web Services (AWS)](https://www.g2.com/es/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Año de fundación:** 2006
- **Ubicación de la sede:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 empleados en LinkedIn®
- **Propiedad:** NASDAQ: AMZN

#### Who Uses This Product?

- **Top Industries:** Tecnología de la información y servicios
- **Company Size:** 44% Medium, 36% Large

#### What Are Recent G2 Reviews of Amazon Kinesis Data Firehose?

**["Fácil integración con otros servicios"](https://www.g2.com/es/survey_responses/amazon-kinesis-data-firehose-review-7878269)**

**Rating:** 4.0/5.0 stars

_— Usuario verificado en Diseño_

[Read full review](https://www.g2.com/es/survey_responses/amazon-kinesis-data-firehose-review-7878269)

**["Ingesta de transmisión confiable y de baja operación con Amazon Data Firehose"](https://www.g2.com/es/survey_responses/amazon-kinesis-data-firehose-review-13186275)**

**Rating:** 4.0/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/es/survey_responses/amazon-kinesis-data-firehose-review-13186275)

### [Amazon Kinesis Data Analytics](https://www.g2.com/products/amazon-kinesis-data-analytics/reviews)

Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time with Apache Flink. Kinesis Data Analytics reduces the complexity of building, managing, and integrating Apache Flink applications with other AWS services. Kinesis Data Analytics takes care of everything required to run streaming applications continuously, and scales automatically to match the volume and throughput of your incoming data. With Kinesis Data Analytics, there are no servers to manage, no minimum fee or setup cost, and you only pay for the resources your streaming applications consume.

**Average Rating:** 4.1/5.0

**Total Reviews:** 14

#### How Do G2 Users Rate Amazon Kinesis Data Analytics?

- **Has the product been a good partner in doing business?:** 7.5/10 (Category avg: 8.9/10)
- **Ease of Admin:** 7.1/10 (Category avg: 8.4/10)
- **Quality of Support:** 7.8/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Amazon Kinesis Data Analytics?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Company Size:** 67% Large, 27% Small

#### What Do G2 Reviewers Say About Amazon Kinesis Data Analytics?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **scalable and flexible analytics solutions** of AWS, appreciating its real-time capabilities and seamless integration.
- Users appreciate the **scalable and cost-efficient solutions** of Amazon Kinesis Data Analytics for enhanced data analysis workflows.
- Users value the **cost efficient pay as you go model** of AWS Analytics, simplifying budgeting and resource management.
- Users value the **seamless integration with other AWS services** , enhancing their data analysis workflows effectively.
- Users value the **seamless integration with other AWS services** , which simplifies workflows and enhances data analysis efficiency.

##### Cons

- Users highlight the **complexity** of tool selection and setup, often struggling with steep learning curves and limited customization.
- Users face **complexity issues** with tool selection and learning curves, making setup and customization challenging.
- Users find the **complex setup** of AWS Analytics challenging, complicating tool selection and onboarding for newcomers.
- Users face challenges with **cost management** , requiring careful monitoring and complicating the overall experience with Kinesis Data Analytics.
- Users face a **steep learning curve** with Amazon Kinesis Data Analytics, making initial setup and tool selection challenging.

#### What Are Recent G2 Reviews of Amazon Kinesis Data Analytics?

**["Best use case for data streaming with IOT devices"](https://www.g2.com/survey_responses/amazon-kinesis-data-analytics-review-7402765)**

**Rating:** 5.0/5.0 stars

_— Jayanna T._

[Read full review](https://www.g2.com/survey_responses/amazon-kinesis-data-analytics-review-7402765)

**["Powerful, Low-Latency Stream Processing with Amazon Managed Service for Apache Flink"](https://www.g2.com/survey_responses/amazon-kinesis-data-analytics-review-13186276)**

**Rating:** 4.5/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/amazon-kinesis-data-analytics-review-13186276)

### [IBM StreamSets](https://www.g2.com/es/products/ibm-streamsets/reviews)

StreamSets, una empresa de Software AG, elimina la fricción de integración de datos en entornos híbridos y multi-nube complejos para mantenerse al ritmo de las demandas empresariales de datos inmediatos. Nuestra plataforma permite a los equipos de datos desbloquear datos, sin ceder el control, para habilitar una empresa impulsada por datos. - Las canalizaciones resilientes detectan y se adaptan a cambios constantes en la estructura de datos, semántica e infraestructura. - Aprende una vez para crear muchas canalizaciones de integración diferentes con una experiencia de diseño única para todos los patrones: streaming, batch, CDC, ETL, ELT, ML. - Los fragmentos de canalización reutilizables permiten a cualquiera usar la funcionalidad que diseñan tus ingenieros de datos. - El SDK de Python te permite crear plantillas de canalizaciones a escala creando fácilmente cientos de canalizaciones con solo unas pocas líneas de código. - Simplifica las transformaciones de datos con procesadores predefinidos para cumplir con el 99% de tus requisitos analíticos desde el primer momento. - Las topologías proporcionan transparencia para ver cómo los sistemas están conectados y cómo fluyen los datos a través de la empresa. - Los SLA de datos y las reglas exponen problemas ocultos en tus flujos de datos, creando límites a lo largo de las canalizaciones de datos para la calidad de los datos, dimensionamiento, rendimiento de rendimiento, tasas de error, fuga de información privada/sensible, y más. StreamSets entrega datos listos para análisis, mejorando la toma de decisiones en tiempo real y reduciendo los costos y riesgos asociados con el flujo de datos a través de una organización. Por eso, las empresas más grandes del mundo confían en StreamSets para impulsar millones de canalizaciones de datos para análisis modernos, ciencia de datos, aplicaciones inteligentes e integración híbrida.

**Average Rating:** 4.0/5.0

**Total Reviews:** 114

#### How Do G2 Users Rate IBM StreamSets?

- **¿Ha sido the product un buen socio para hacer negocios?:** 8.2/10 (Category avg: 8.9/10)
- **Facilidad de administración:** 7.8/10 (Category avg: 8.4/10)
- **Calidad del soporte:** 8.0/10 (Category avg: 8.8/10)
- **Facilidad de uso:** 8.4/10 (Category avg: 8.7/10)

#### Who Is the Company Behind IBM StreamSets?

- **Vendedor:** [IBM](https://www.g2.com/es/sellers/ibm)
- **Año de fundación:** 1911
- **Ubicación de la sede:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 empleados en LinkedIn®
- **Propiedad:** SWX:IBM

#### Who Uses This Product?

- **Who Uses This:** Ingeniero de Datos, Ingeniero de software
- **Top Industries:** Tecnología de la información y servicios, Software de Computadora
- **Company Size:** 42% Large, 34% Medium

#### What Do G2 Reviewers Say About IBM StreamSets?

_AI-generated summary from verified user reviews_

##### Pros

- Los usuarios valoran la **facilidad de uso** en IBM StreamSets, destacando su interfaz intuitiva y características amigables para principiantes.
- Los usuarios elogian la **interfaz de arrastrar y soltar fácil de usar** de IBM StreamSets, mejorando la eficiencia de visualización y depuración.
- Los usuarios valoran las **capacidades efectivas de gestión de datos** de IBM StreamSets para una integración y automatización sin problemas en todos los entornos.
- Los usuarios aprecian la **simplificación de los flujos de trabajo de integración de datos** en IBM StreamSets, haciendo que la creación de canalizaciones sea intuitiva y eficiente.
- Los usuarios valoran la **amplia gama de integraciones** ofrecidas por IBM StreamSets, mejorando la conectividad de datos en la nube y en las instalaciones.

##### Cons

- Los usuarios experimentan una **curva de aprendizaje pronunciada** , especialmente al utilizar funciones avanzadas y gestionar eficazmente tuberías complejas.
- Los usuarios encuentran que el **precio es excesivo** , especialmente para equipos más pequeños, lo que afecta la satisfacción general con IBM StreamSets.
- Los usuarios encuentran que la **dificultad de aprendizaje** de las funciones avanzadas en StreamSets consume mucho tiempo y no está bien respaldada.
- Los usuarios a menudo experimentan **rendimiento lento** con IBM StreamSets, particularmente al procesar grandes volúmenes de datos o tuberías complejas.
- Los usuarios encuentran desafiante la **empinada curva de aprendizaje** de IBM StreamSets, especialmente con características avanzadas y configuraciones.

#### What Are Recent G2 Reviews of IBM StreamSets?

**["Integración de datos poderosa con IBM Stream sets."](https://www.g2.com/es/survey_responses/ibm-streamsets-review-11654909)**

**Rating:** 5.0/5.0 stars

_— Abhishek D._

[Read full review](https://www.g2.com/es/survey_responses/ibm-streamsets-review-11654909)

**["Simplifica las canalizaciones de datos en tiempo real con personalización mixta"](https://www.g2.com/es/survey_responses/ibm-streamsets-review-12240946)**

**Rating:** 4.0/5.0 stars

_— Sravya A._

[Read full review](https://www.g2.com/es/survey_responses/ibm-streamsets-review-12240946)

#### What Are G2 Users Discussing About IBM StreamSets?

- [¿Para qué se utiliza StreamSets?](https://www.g2.com/es/discussions/what-is-streamsets-used-for)
- [What is StreamSets data collector?](https://www.g2.com/es/discussions/what-is-streamsets-data-collector)
- [What is StreamSets control hub?](https://www.g2.com/es/discussions/what-is-streamsets-control-hub)
- [Are StreamSets free?](https://www.g2.com/es/discussions/are-streamsets-free)
- [¿Qué es la herramienta StreamSets?](https://www.g2.com/es/discussions/what-is-streamsets-tool) - 1 comment

### [Confluent](https://www.g2.com/products/confluent/reviews)

Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-time brand experiences. Data in motion is the underlying, fundamental ingredient to any truly connected customer experience. It provides a continuous supply of real- time event streams coupled with real-time stream processing to power the data-driven backend operations and rich front-end experiences necessary for any business to succeed within today’s competitive, consumer-driven markets. Set your data in motion while avoiding the headaches of infrastructure management and focus on what matters most: your business. Built by the original creators of Apache Kafka, Confluent Cloud is a fully managed, cloud-native service for connecting and processing all of your real-time data, everywhere it’s needed.

**Average Rating:** 4.4/5.0

**Total Reviews:** 111

#### How Do G2 Users Rate Confluent?

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.1/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.4/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Confluent?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®
- **Ownership:** SWX:IBM

#### Who Uses This Product?

- **Who Uses This:** Senior Software Engineer, Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 36% Large, 33% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **simplicity and scalability** of Confluent's cloud services, enhancing their experience with Kafka and Flink.
- Users appreciate the **effortless real-time data integration** through Confluent's managed cloud services, enhancing their workflow significantly.
- Users appreciate the **wide range of connectors** in Confluent, simplifying real-time data integration and enhancing productivity.
- Users appreciate the **simplified real-time data integration** with Confluent, benefiting from its managed cloud services and wide connectors.
- Users appreciate the **ease of use** of Confluent, making data integration and stream processing effortless and efficient.

##### Cons

- Users note that the **cost estimation can be high** as data volume increases, requiring time to learn the system.
- Users find Confluent to be **expensive** as costs rise with data volume and features are limited in lower editions.
- Users face a **steep learning curve** with Confluent, alongside rising costs as data volume increases.
- Users find a **lack of features** in Confluent, especially with essential tools restricted to the Enterprise edition.
- Users find the **steep learning curve** challenging, requiring significant time to grasp Confluent's workflow and features.

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

**["seamless experience"](https://www.g2.com/survey_responses/confluent-review-8457785)**

**Rating:** 5.0/5.0 stars

_— Anup M._

[Read full review](https://www.g2.com/survey_responses/confluent-review-8457785)

**["Effortless Kafka Management with Confluent"](https://www.g2.com/survey_responses/confluent-review-12744384)**

**Rating:** 4.5/5.0 stars

_— Abhishek g._

[Read full review](https://www.g2.com/survey_responses/confluent-review-12744384)

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

- [What is your primary use case for Confluent, and how does it enhance your real-time data streaming?](https://www.g2.com/discussions/what-is-your-primary-use-case-for-confluent-and-how-does-it-enhance-your-real-time-data-streaming) - 1 upvote
- [What is Confluent product?](https://www.g2.com/discussions/what-is-confluent-product)
- [What does Confluent software do?](https://www.g2.com/discussions/what-does-confluent-software-do)
- [What is the difference between Confluent and Kafka?](https://www.g2.com/discussions/what-is-the-difference-between-confluent-and-kafka)
- [Is Confluent SaaS or PaaS?](https://www.g2.com/discussions/is-confluent-saas-or-paas)

### [Azure IoT Central](https://www.g2.com/es/products/azure-iot-central/reviews)

Azure IoT Central trae a la vida el Internet de tus cosas al conectar tus dispositivos, analizar datos previamente no explotados e integrar sistemas empresariales y transformar tu empresa cuando descubres nuevos modelos de negocio y fuentes de ingresos.

**Average Rating:** 4.5/5.0

**Total Reviews:** 15

#### How Do G2 Users Rate Azure IoT Central?

- **¿Ha sido the product un buen socio para hacer negocios?:** 8.3/10 (Category avg: 8.9/10)
- **Facilidad de administración:** 8.3/10 (Category avg: 8.4/10)
- **Calidad del soporte:** 9.1/10 (Category avg: 8.8/10)
- **Facilidad de uso:** 9.4/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Azure IoT Central?

- **Vendedor:** [Microsoft](https://www.g2.com/es/sellers/microsoft)
- **Año de fundación:** 1975
- **Ubicación de la sede:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website)  
231,632 empleados en LinkedIn®
- **Propiedad:** MSFT

#### Who Uses This Product?

- **Top Industries:** Software de Computadora, Tecnología de la información y servicios
- **Company Size:** 46% Small, 29% Large

#### What Are Recent G2 Reviews of Azure IoT Central?

**["Paquete completo para IoT"](https://www.g2.com/es/survey_responses/azure-iot-central-review-6943094)**

**Rating:** 5.0/5.0 stars

_— Usuario verificado en Software de Computadora_

[Read full review](https://www.g2.com/es/survey_responses/azure-iot-central-review-6943094)

**["Puedo crear integraciones de IoT rápidamente en unos pocos clics."](https://www.g2.com/es/survey_responses/azure-iot-central-review-7096146)**

**Rating:** 4.5/5.0 stars

_— Usuario verificado en Software de Computadora_

[Read full review](https://www.g2.com/es/survey_responses/azure-iot-central-review-7096146)

#### What Are G2 Users Discussing About Azure IoT Central?

- [What are the benefits of Azure IoT platforms?](https://www.g2.com/es/discussions/azure-iot-central-what-are-the-benefits-of-azure-iot-platforms)
- [What service is used in IoT central for monitoring IoT assets?](https://www.g2.com/es/discussions/what-service-is-used-in-iot-central-for-monitoring-iot-assets)
- [¿Cuál es la diferencia entre IoT central e IoT hub?](https://www.g2.com/es/discussions/what-is-the-difference-between-iot-central-and-iot-hub) - 1 comment
- [What does Azure IoT Central do?](https://www.g2.com/es/discussions/what-does-azure-iot-central-do)

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[Browse Stream Analytics Themes](/categories/stream-analytics/themes)

 ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry")
BB

Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)

Updated February 5, 2026

Stream analytics software monitors and analyzes integration data in real time. These tools allow users to analyze data in transfer between applications or through APIs. This allows users to analyze both historical events and what’s happening at that exact time. Companies use stream analytics to better understand what data users are retrieving and to monitor endpoints. Users can analyze data being transferred amongst devices like internet of things (IoT) endpoints, such as smart cars, machinery, or home appliances. Many tools contain data visualization components to present and map connected devices. Other common features include competitive analysis and big data analytics. There is some crossover between stream analytics and [big data analytics tools](https://www.g2.com/categories/big-data-analytics), but big data analytics tools aren’t necessarily used specifically to provide real-time information.

To qualify for inclusion in the Stream Analytics category, a product must:

- Monitor events pertaining to information exchange in real time
- Alert users of device or network failures using triggers 
- Provide actionable analytical insights

Top Tools at a Glance

| Product | Best for | User Review |
| --- | --- | --- |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b1df0084b05b72537afc19b4a0dfcca5/hubspot-data-hub.png "Product Avatar Image")](https://www.g2.com/products/hubspot-data-hub/reviews)[HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews)[4.5/5(578)](https://www.g2.com/products/hubspot-data-hub/reviews) | Cross-system CRM data sync and deduplication | "A Powerful Platform for Centralizing and Managing Customer Data" |
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