# Best Stream Analytics Software

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

**Total Products under this Category:** 76

### Category Stats (Aug 2026)

- **Average Rating:** 4.45/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Cloudera (+2.21%) - Among all products in this category, Cloudera recorded the largest rating increase compared to last month

_Last updated: August 25, 2026_

## How Does G2 Rank Stream Analytics Software Products?

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

- 30 Analysts and Data Experts
- 3,400+ Authentic Reviews
- 76+ 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=40547&focus%5B%5D=1308827&focus%5B%5D=17348&focus%5B%5D=20177)

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

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-2026-08-12&focus%5B%5D=evam&focus%5B%5D=google-cloud-pub-sub&focus%5B%5D=amazon-web-services-aws-amazon-kinesis&focus%5B%5D=aws-amazon-kinesis-data-streams&focus%5B%5D=amazon-opensearch-service)

**Sponsored**

### Cloudera

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments.

[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=2026-08-26T12%3A36%3A45Z&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=1886&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=e99ff8ef9fd647c314f51e2df9e270180b67243d0554a436a5dc21e550f2051d&secure%5Burl%5D=https%3A%2F%2Fwww.cloudera.com%2Fproducts%2Fcloudera-data-platform%2Fcdp-demos.html%3Finternal_link%3Dp18%23get-started&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 appreciate the **user-friendly interface** of HubSpot Data Hub, making information easily accessible and operations efficient.
- Users benefit from **automation capabilities** in HubSpot Data Hub, significantly streamlining tasks and enhancing overall efficiency.
- Users value the **two-way data sync** of HubSpot Data Hub, enhancing efficiency and collaboration across teams.
- Users value the **two-way data sync** across platforms, enhancing efficiency and ensuring accurate, consistent information for teams.
- Users appreciate the **efficiency** of HubSpot Data Hub, streamlining data management and reducing workflow complexities.

##### Cons

- Users find the **limitations in data handling** frustrating, particularly regarding external data integration and processing capabilities.
- Users find the **missing features** in HubSpot Data Hub limit their ability to manage complex contact data effectively.
- Users find the **learning curve steep** , especially when unfamiliar with workflow automation, affecting overall usability.
- Users find HubSpot Data Hub **fairly expensive** , particularly for small teams wanting advanced features and customization.
- Users find the **complexity of reporting** and data tracking in HubSpot Data Hub to be challenging and frustrating.

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

**["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)

**["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)

#### 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/products/elastic-stack/reviews)

The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data.

**Average Rating:** 4.5/5.0

**Total Reviews:** 105

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

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10)
- **Ease of Admin:** 7.4/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.2/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.0/10 (Category avg: 8.7/10)

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

- **Seller:** [Elastic](https://www.g2.com/sellers/elastic)
- **Year Founded:** 2012
- **HQ Location:** San Francisco, CA
- **Twitter:** @elastic  
65,200 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®
- **Ownership:** NYSE: ESTC

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 48% Medium, 34% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Elastic Stack, enabling quick correlation and understanding of system behavior.
- Users value the **flexibility** of Elastic Stack for its customization, integration, and deployment options across various environments.
- Users appreciate the **unified log management** that allows for quicker issue correlation and comprehensive system understanding.
- Users praise the **fast and scalable real-time search** of Elastic Stack, enhancing their ability to analyze data efficiently.
- Users value the **versatility** of Elastic Stack, seamlessly integrating various tools for flexible data management and visualization.

##### Cons

- Users note the **resource management challenges** in Elastic Stack, requiring expertise to maintain performance and stability.
- Users find the **complexity issues** of Elastic Stack demanding, requiring significant expertise to manage effectively and maintain performance.
- Users find the **cost of resources** for Elastic Stack to be significant, especially at scale and for advanced features.
- Users find that **High Memory Usage** in Elastic Stack can lead to increased costs and management complexities at scale.
- Users find the **steep learning curve** of Elastic Stack challenging, requiring significant experience for effective management and optimization.

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

**["Powerful Centralized Log Management with Elastic Stack"](https://www.g2.com/survey_responses/elastic-stack-review-12951407)**

**Rating:** 4.0/5.0 stars

_— Ravindra N._

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

**["Elastic Stack: Real-Time Scalability, Fast Search, and Powerful Kibana Visualizations"](https://www.g2.com/survey_responses/elastic-stack-review-12683691)**

**Rating:** 5.0/5.0 stars

_— Jai P._

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

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

- [How has Elastic Stack impacted your data search and analytics capabilities, and what do you recommend to new users?](https://www.g2.com/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/discussions/what-is-kibana-monitoring)
- [What is Grafana and Kibana?](https://www.g2.com/discussions/what-is-grafana-and-kibana) - 1 comment
- [What is Kibana built with?](https://www.g2.com/discussions/what-is-kibana-built-with)
- [What are the features of Kibana?](https://www.g2.com/discussions/what-are-the-features-of-kibana) - 1 comment

### [Tealium](https://www.g2.com/products/tealium-2026-08-12/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:** 444

#### 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 value the **ease of use** of Tealium for unifying customer data and managing tags efficiently.
- Users value the **unification of customer data** in Tealium, streamlining their workflow and enhancing data management efficiency.
- Users appreciate the **seamless integrations** of Tealium, enabling efficient data unification from diverse sources in real-time.
- Users value the **real-time processing** of Tealium, enabling seamless integration and activation of customer data efficiently.
- Users value the **easy integration** of Tealium, enhancing their workflow by unifying customer data seamlessly across tools.

##### Cons

- Users find the **steep learning curve** of Tealium challenging, particularly for non-technical individuals navigating its complex interface.
- Users find the **difficult learning curve** of Tealium challenging, especially for those lacking technical expertise or support.
- Users struggle with **complexity** in Tealium's interface and learning curve, making navigation and use challenging for newcomers.
- Users struggle with the **steep learning curve** of Tealium, finding it complex and overwhelming without proper guidance.
- Users struggle with the **steep learning curve** of Tealium, finding it complex and challenging, especially without proper onboarding.

#### 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)

**["Tealium Customer Data Hub makes it easy to unify customer data in real time"](https://www.g2.com/survey_responses/tealium-review-11675791)**

**Rating:** 4.5/5.0 stars

_— Ehab R._

[Read full review](https://www.g2.com/survey_responses/tealium-review-11675791)

#### 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/products/evam/reviews)

Evam is a leading technology company that provides comprehensive solutions and products for real-time, cross-channel customer experiences. Our cutting-edge continuous intelligence technology leverages real-time data analysis to deliver unparalleled customer engagement. Evam empowers banks, telecommunications companies, and others to handle billions of interactions with AI algorithms, orchestrate customer journeys, and engage with customers across all channels, digital and legacy, in real-time. Our goal is to help our clients increase customer loyalty, maximize ROI and efficiency, and save time and money. Enterprises have the shortest time-to-market thanks to Evam’s low-code- development, scalable and modular platform leveraged by an experienced & high-quality management team with telco and banking domain know-how. With dozens of Forrester and Gartner research reports recognizing our excellence in customer engagement and event stream processing, our technology is trusted by industry giants like Vodafone, T-Mobile, Jazz, Turkcell, ICBC, TEB/BNP Paribas, ING Bank and Garanti BBVA. Headquartered in London and with offices in Amsterdam, Sofia and Istanbul, Evam delivers its products and services directly and through over 20 global partners. Our solutions are currently utilized by more than 600 million end-users, processing 20 billion events in over 15 countries every day.

**Average Rating:** 4.8/5.0

**Total Reviews:** 224

#### How Do G2 Users Rate Evam?

- **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 8.9/10)
- **Ease of Admin:** 9.6/10 (Category avg: 8.4/10)
- **Quality of Support:** 9.5/10 (Category avg: 8.8/10)
- **Ease of Use:** 9.2/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Evam?

- **Seller:** [EVAM](https://www.g2.com/sellers/evam)
- **Company Website:** evam.com
- **Year Founded:** 2015
- **HQ Location:** London
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Senior Business Analyst
- **Top Industries:** Banking, Telecommunications
- **Company Size:** 36% Large, 34% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Evam, finding it intuitive and requiring minimal training for effective campaign design.
- Users appreciate Evam for its **effective decisioning logic and real-time personalization** , enhancing their campaign management strategies.
- Users appreciate the **intuitive design** of Evam, making campaign creation and execution a seamless experience.
- Users appreciate the **flexibility and efficiency** of Evam, optimizing real-time data handling and campaign automation.
- Users value the **flexibility** of Evam, enabling easy management of real-time workflows and adaptable to diverse business needs.

##### Cons

- Users find the **learning curve steep** , with many features being complex and requiring significant effort to master.
- Users face **difficult learning** curves with EVAM, particularly if they lack technical skills or coding experience.
- Users face a **steep learning curve** with Evam, particularly those lacking technical knowledge for setup and usage.
- Users find **complex features** challenging to set up, particularly those lacking a technical background.
- Users find the interface **not intuitive** , leading to confusion and errors during campaign setup and management.

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

**["EVAM Makes Customer Communication Efficient and Personal"](https://www.g2.com/survey_responses/evam-review-12977000)**

**Rating:** 5.0/5.0 stars

_— GÖRKEM U._

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

**["Efficient No-Code Automation with Room for Improvement"](https://www.g2.com/survey_responses/evam-review-13357493)**

**Rating:** 4.5/5.0 stars

_— Leon K._

[Read full review](https://www.g2.com/survey_responses/evam-review-13357493)

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

- [What is Evam Continuous Intelligence Platform used for?](https://www.g2.com/discussions/what-is-evam-continuous-intelligence-platform-used-for)

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

Ingest event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics

**Average Rating:** 4.5/5.0

**Total Reviews:** 34

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

- **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:** 8.8/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.7/10 (Category avg: 8.7/10)

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

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Top Industries:** Computer Software, Education Management
- **Company Size:** 41% Small, 31% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **self-scaling capabilities** of Google Cloud Pub/Sub, enjoying hassle-free management and seamless integration.
- Users appreciate the **exceptional customer support** of Google Cloud Pub/Sub, enhancing their experience and integration efforts.
- Users love the **ease of use** of Google Cloud Pub/Sub, finding the interface and resources very intuitive and helpful.
- Users enjoy the **easy access** to Google Cloud Pub/Sub thanks to its intuitive interface and helpful documentation.
- Users appreciate the **easy integration** of Google Cloud Pub/Sub, benefiting from its fully managed and self-scaling capabilities.

##### Cons

- Users find Google Cloud Pub/Sub to be **more expensive** compared to alternatives like Apache Kafka, impacting budget considerations.
- Users face challenges with **duplicate message deliveries** , requiring additional coding efforts for data de-duplication.
- Users find the **slow processing** of Google Cloud Pub/Sub problematic, affecting efficiency with large message sizes.

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

**["A dependable way to connect services across GCP"](https://www.g2.com/survey_responses/google-cloud-pub-sub-review-12557219)**

**Rating:** 4.5/5.0 stars

_— Verified User in Retail_

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

**["Fully Managed Pub/Sub with Reliable, Low-Latency Global Scalability"](https://www.g2.com/survey_responses/google-cloud-pub-sub-review-12540976)**

**Rating:** 4.5/5.0 stars

_— Claude I._

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

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

- [What is Google Cloud Pub/Sub used for?](https://www.g2.com/discussions/what-is-google-cloud-pub-sub-used-for)

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

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/.

**Average Rating:** 4.2/5.0

**Total Reviews:** 97

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

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

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

- **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:** Technical Lead, Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 36% Medium, 33% Large

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

**["Centralized Logs & Analytics for Enhanced Efficiency"](https://www.g2.com/survey_responses/amazon-opensearch-service-review-12863310)**

**Rating:** 4.0/5.0 stars

_— Atharva P._

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

**["Scalable and Managed Solution for Log Analytics"](https://www.g2.com/survey_responses/amazon-opensearch-service-review-6571247)**

**Rating:** 4.0/5.0 stars

_— Rajesh V._

[Read full review](https://www.g2.com/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/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/discussions/amazon-opensearch-service-how-do-i-stop-aws-elasticsearch-service)
- [How do I stop AWS Elasticsearch service?](https://www.g2.com/discussions/how-do-i-stop-aws-elasticsearch-service)
- [How do I use AWS Elasticsearch service?](https://www.g2.com/discussions/amazon-opensearch-service-how-do-i-use-aws-elasticsearch-service)
- [How do I use AWS Elasticsearch service?](https://www.g2.com/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 efficient and scalable analytics.
- Users value the **real-time data processing capability** of Amazon Kinesis Data Streams for its reliability and seamless integration.
- Users appreciate the **real-time data processing capability** of Amazon Kinesis Data Streams, ensuring low-latency and reliable performance.
- Users appreciate the **real-time data processing capability** of Amazon Kinesis Data Streams, highlighting its stability and seamless integration.
- Users value the **seamless API integration** of Amazon Kinesis Data Streams with other AWS services, enhancing convenience and efficiency.

##### Cons

- Users find the **difficult setup** of Amazon Kinesis Data Streams challenging, particularly for newcomers and complex configurations.
- Users find Amazon Kinesis Data Streams **expensive** as costs can escalate quickly without proper management and monitoring.
- Users find the **resource-intensive learning** curve challenging, especially for beginners and when managing costs effectively.
- Users find the **complexity of setup and cost management** challenging, especially for newcomers to streaming architectures.
- Users find the **complexity of configuration** across AWS data services a challenge when using Kinesis Data Streams.

#### 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 love how Amazon MSK provides **seamless cloud management** for Kafka, simplifying scaling and maintenance tasks effortlessly.
- Users value the **maintenance ease** of Amazon MSK, which simplifies managing Kafka in a seamless AWS environment.
- Users appreciate the **management ease** of Amazon MSK, eliminating the complexities of handling Kafka operations.
- Users value the **reliability** of Amazon MSK, appreciating its seamless management of scaling and maintenance.
- Users appreciate the **seamless scalability** of Amazon MSK, effectively easing Kafka management and integration with AWS.

##### Cons

- Users find the **cost prohibitive** , especially for smaller workloads or early-stage projects, impacting overall value.
- Users notice the **high cost** for smaller workloads and feel it's less flexible than self-managed Kafka.
- Users find **limited control** in Amazon MSK, especially regarding cost and flexibility for smaller projects.

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

**["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)

**["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)

#### 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)

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

Amazon Kinesis Data Firehose is the easiest way to reliably load real-time streams into data lakes, warehouses, and analytics services. Kinesis Data Firehose can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon OpenSearch Service, and Splunk, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today. It is a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration. It can also batch, compress, and encrypt the data before loading it, minimizing the amount of storage used at the destination and increasing security.

**Average Rating:** 4.2/5.0

**Total Reviews:** 21

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

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10)
- **Ease of Admin:** 9.2/10 (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 Amazon Kinesis Data Firehose?

- **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:** 44% Medium, 36% Large

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

**["Reliable, Low-Ops Streaming Ingestion with Amazon Data Firehose"](https://www.g2.com/survey_responses/amazon-kinesis-data-firehose-review-13186275)**

**Rating:** 4.0/5.0 stars

_— Atharva P._

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

**["Easy integration with other services"](https://www.g2.com/survey_responses/amazon-kinesis-data-firehose-review-7878269)**

**Rating:** 4.0/5.0 stars

_— Verified User in Design_

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

### [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 appreciate the **scalable and flexible analytics solutions** of Amazon Kinesis, benefiting from real-time data analysis.
- Users appreciate the **scalable and flexible solutions** of AWS Analytics for efficient data analysis and integration.
- Users appreciate the **cost-efficient pay-as-you-go model** of Amazon Kinesis Data Analytics, making data analysis affordable and accessible.
- Users appreciate the **seamless integration** of Amazon Kinesis Data Analytics, which simplifies workflows across AWS services.
- Users value the **seamless integration with other AWS services** , enhancing their data analysis workflows significantly.

##### Cons

- Users face **complexity in tool selection and setup** , making it challenging for newcomers to effectively utilize the service.
- Users face **complexity issues** with tool selection, setup, and steep learning curves, impacting their overall experience.
- Users face **complex setup** challenges in AWS Analytics, leading to a steep learning curve and cost management difficulties.
- Users face challenges with **cost management** , requiring careful monitoring and navigating complexities in tool selection and setup.
- Users face a **steep learning curve** with Amazon Kinesis Data Analytics, making setup and tool selection challenging for newcomers.

#### 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)

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

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments.

**Average Rating:** 4.2/5.0

**Total Reviews:** 187

#### How Do G2 Users Rate Cloudera?

- **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.0/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.1/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Cloudera?

- **Seller:** [Cloudera](https://www.g2.com/sellers/cloudera)
- **Company Website:** www.cloudera.com
- **Year Founded:** 2008
- **HQ Location:** Santa Clara, CA
- **Twitter:** @cloudera  
106,442 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Banking
- **Company Size:** 39% Large, 36% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **user-friendly interface** of Cloudera, highlighting its simplicity in managing big data efficiently.
- Users value the **easy scalability** of Cloudera, enabling efficient management of large amounts of data effortlessly.
- Users value the **robust security features** of Cloudera, ensuring safe and reliable data management across platforms.
- Users value the **comprehensive suite of tools** in Cloudera for effective data management and analytics.
- Users find Cloudera's **scalability and centralized administration** invaluable for efficient monitoring and management of data processes.

##### Cons

- Users express concerns over the **high costs** of Cloudera, noting it's expensive for its complexity and maintenance.
- Users find Cloudera's database to be **complex** , making it challenging for inexperienced professionals to utilize effectively.
- Users find Cloudera's setup **difficult to learn** , particularly challenging for beginners without adequate tutorials or guidance.
- Users find the **poor documentation** of Cloudera frustrating, complicating navigation and setup for complex data configurations.
- Users often face **access issues** with Cloudera, particularly with unauthorized errors in Airflow tasks and limited documentation.

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

**["Fast Platform with Quality Tools and Advanced Tech Stack"](https://www.g2.com/survey_responses/cloudera-review-13332785)**

**Rating:** 4.0/5.0 stars

_— Chess G._

[Read full review](https://www.g2.com/survey_responses/cloudera-review-13332785)

**["Streamlined Migration, Excellent Usability"](https://www.g2.com/survey_responses/cloudera-review-13333837)**

**Rating:** 4.0/5.0 stars

_— mohan t._

[Read full review](https://www.g2.com/survey_responses/cloudera-review-13333837)

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

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

### [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:** Software Engineer, Senior 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 managed cloud services, enhancing real-time data integration.
- Users appreciate the **effortless integration** of Confluent's cloud services, enhancing their experience with Kafka and Flink.
- Users appreciate the **wide range of connectors** in Confluent, enhancing real-time data integration effortlessly.
- Users appreciate the **effortless data integration** offered by Confluent, enhancing real-time processing with robust tools and scalability.
- Users appreciate the **ease of use** of Confluent, enjoying simplified data integration and a user-friendly interface.

##### Cons

- Users note the **high cost estimation** with data growth and a steep learning curve for effective use.
- Users find Confluent **expensive** as costs rise with data volume, and learning the system can be time-consuming.
- Users face **initial difficulties** with a steep learning curve and costly pricing as data volumes increase.
- Users find a **lack of features** in Confluent, especially in lower tiers, leading to increased costs and complexity.
- Users face a **steep learning curve** with Confluent, requiring significant time to master its workflow and features.

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

**["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)

**["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)

#### 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)

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

IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization. It integrates with IBM’s broader data integration capabilities, enabling reliable pipelines that unify multiple data integration patterns, underpinned by data observability capabilities for continuous data quality monitoring and remediation. That’s why the largest companies in the world trust StreamSets to power millions of data pipelines for modern analytics, data science, smart applications, and hybrid integration.

**Average Rating:** 4.0/5.0

**Total Reviews:** 113

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

- **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 8.9/10)
- **Ease of Admin:** 7.8/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.0/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.4/10 (Category avg: 8.7/10)

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

- **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:** Data Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 43% Large, 34% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find IBM StreamSets to offer **ease of use** with its intuitive interface and beginner-friendly pipeline creation.
- Users appreciate the **user-friendly drag-and-drop interface** of IBM StreamSets, enhancing pipeline visualization and debugging efficiency.
- Users appreciate the **simplicity of data integration workflows** in IBM StreamSets, enjoying its intuitive visual pipeline design.
- Users love the **effective data management** capabilities of IBM StreamSets, simplifying pipeline creation and monitoring across environments.
- Users appreciate the **wide range of integrations** in IBM StreamSets, enhancing real-time data handling and simplifying workflows.

##### Cons

- Users struggle with the **steep learning curve** of IBM StreamSets, highlighting the need for deeper technical knowledge and better guidance.
- Users find the **cost of IBM StreamSets** to be a concern, especially for smaller teams with limited budgets.
- Users experience **slow performance** with IBM StreamSets, particularly when managing large data volumes or complex configurations.
- Users find the **learning difficulty** of advanced features in StreamSets challenging, impacting onboarding and overall experience.
- Users find the **poor documentation** of IBM StreamSets frustrating, as it lacks detail and can be confusing.

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

**["Powerful Data Integration With IBM Stream sets."](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909)**

**Rating:** 5.0/5.0 stars

_— Abhishek D._

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

**["Simplifies Real-Time Data Pipelines with Mixed Customization"](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946)**

**Rating:** 4.0/5.0 stars

_— Sravya A._

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

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

- [What is StreamSets used for?](https://www.g2.com/discussions/what-is-streamsets-used-for)
- [What is StreamSets data collector?](https://www.g2.com/discussions/what-is-streamsets-data-collector)
- [What is StreamSets control hub?](https://www.g2.com/discussions/what-is-streamsets-control-hub)
- [Are StreamSets free?](https://www.g2.com/discussions/are-streamsets-free)
- [What is StreamSets tool?](https://www.g2.com/discussions/what-is-streamsets-tool) - 1 comment

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

Azure IoT Central brings the Internet of your things to life by connecting your devices, analyzing previously- untapped data, and integrate business systems and transforming your company when you uncover new business models and revenue streams.

**Average Rating:** 4.5/5.0

**Total Reviews:** 15

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

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.4/10)
- **Quality of Support:** 9.1/10 (Category avg: 8.8/10)
- **Ease of Use:** 9.4/10 (Category avg: 8.7/10)

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

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®
- **Ownership:** MSFT

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 46% Small, 29% Large

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

**["Complete package for IoT"](https://www.g2.com/survey_responses/azure-iot-central-review-6943094)**

**Rating:** 5.0/5.0 stars

_— Verified User in Computer Software_

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

**["I can quickly create IoT integrations in a few clicks"](https://www.g2.com/survey_responses/azure-iot-central-review-7096146)**

**Rating:** 4.5/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/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/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/discussions/what-service-is-used-in-iot-central-for-monitoring-iot-assets)
- [What is the difference between IoT central and IoT hub?](https://www.g2.com/discussions/what-is-the-difference-between-iot-central-and-iot-hub) - 1 comment
- [What does Azure IoT Central do?](https://www.g2.com/discussions/what-does-azure-iot-central-do)

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- [Big Data Integration Platforms](/categories/big-data-integration-platforms)
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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" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_6ed5568e173e6d0ed15aedd93e533939/elastic-stack.png "Product Avatar Image")](https://www.g2.com/products/elastic-stack/reviews)[Kibana](https://www.g2.com/products/elastic-stack/reviews)[4.5/5(109)](https://www.g2.com/products/elastic-stack/reviews) | Centralized log streaming with real-time observability | "Powerful Centralized Log Management with Elastic Stack" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_321196919fe755fd48bda370ef1fabea/tealium-2026-07-21.png "Product Avatar Image")](https://www.g2.com/products/tealium-2026-08-12/reviews)[Tealium](https://www.g2.com/products/tealium-2026-08-12/reviews)[4.3/5(478)](https://www.g2.com/products/tealium-2026-08-12/reviews) | Real-time cross-channel event streaming and audience activation | "Unifies Customer Data and Enables Real-Time Marketing Activation" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_64654aae877d6c973eacc71961e860a9/evam.png "Product Avatar Image")](https://www.g2.com/products/evam/reviews)[Evam](https://www.g2.com/products/evam/reviews)[4.8/5(228)](https://www.g2.com/products/evam/reviews) | Event-driven real-time customer journey decisioning | "EVAM Makes Customer Communication Efficient and Personal" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_aeae116c52945fdecd7ed16d621cb315/google-cloud-pub-sub.png "Product Avatar Image")](https://www.g2.com/products/google-cloud-pub-sub/reviews)[Google Cloud Pub/Sub](https://www.g2.com/products/google-cloud-pub-sub/reviews)[4.5/5(39)](https://www.g2.com/products/google-cloud-pub-sub/reviews) | Serverless event-driven streaming inside GCP pipelines | "A dependable way to connect services across GCP" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_bfafdbe1af738f48aaf1b60690c68223/amazon-opensearch-service.jpg "Product Avatar Image")](https://www.g2.com/products/amazon-opensearch-service/reviews)[Amazon OpenSearch Service](https://www.g2.com/products/amazon-opensearch-service/reviews)[4.2/5(102)](https://www.g2.com/products/amazon-opensearch-service/reviews) | AWS-native log analytics and real-time search | "Scalable and Managed Solution for Log Analytics" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_6c02a8e14b7579c91df2f2d00649fb51/aws-amazon-kinesis-data-streams.png "Product Avatar Image")](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews)[Amazon Kinesis Data Streams](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews)[4.3/5(90)](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews) | AWS-native real-time event stream analytics | "Amazon Kinesis Data Streams: Reliable Tool for Real-Time Data Streaming" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_504423766e296a0eeef13491cb738385/amazon-web-services-aws-amazon-kinesis.png "Product Avatar Image")](https://www.g2.com/products/amazon-web-services-aws-amazon-kinesis/reviews)[Amazon Kinesis](https://www.g2.com/products/amazon-web-services-aws-amazon-kinesis/reviews)[4.7/5(27)](https://www.g2.com/products/amazon-web-services-aws-amazon-kinesis/reviews) | AWS-native real-time streaming data analytics | "Amazon Kinesis: Low-Latency Streaming at Massive Scale" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_3a7a925cc43d97814fa81ec2d6c06f45/amazon-managed-streaming-for-apache-kafka-amazon-msk.jpeg "Product Avatar Image")](https://www.g2.com/products/amazon-managed-streaming-for-apache-kafka-amazon-msk/reviews)[Amazon Managed Streaming...](https://www.g2.com/products/amazon-managed-streaming-for-apache-kafka-amazon-msk/reviews)[4/5(24)](https://www.g2.com/products/amazon-managed-streaming-for-apache-kafka-amazon-msk/reviews) | AWS-native real-time Kafka streaming pipelines | "Amazon MSK Powers Real-Time Streaming Pipelines with Ease" |

* * *

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