# Best Stream Analytics Software

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

**Total Products under this Category:** 75

### Category Stats (Jul 2026)

- **Average Rating:** 4.45/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** PubNub (+0.2%) - Among all products in this category, PubNub recorded the largest rating increase compared to last month

_Last updated: July 31, 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=40547&focus%5B%5D=17348&focus%5B%5D=20177&focus%5B%5D=1308827)

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

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

**Sponsored**

### Google Cloud Pub/Sub

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

[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=2026-07-31T21%3A42%3A25Z&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=40547&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%3Fopen_modal_url%3D%252Fproducts%252Fapica-apica%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fstream-analytics%2526source%253Dcategory&secure%5Btoken%5D=07e8f36a5131d08750e33dd5e0c957f878566588d14c1a4df4003facc9621ec6&secure%5Burl%5D=https%3A%2F%2Fcloud.google.com%2Fpubsub%3Futm_source%3DG2%26utm_medium%3Ddisplay%26utm_campaign%3DCloud-SS-DR-GCP-1713658-GCP-DR-NA-US-en-G2-Display-Banner-All-%2525epid%21-%2525ecid%21-pubsub%26utm_content%3D%257Bdevice%257D-%257Badgroupid%257D-%257Bnetwork%257D-%257Btargetid%257D-%257Bloc_physical_ms%257D-%257Bcampaignid%257D&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:** 561

#### 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?

**["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:** 106

#### 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:** 47% Medium, 34% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Elastic Stack, which simplifies log and metric analysis with a unified interface.
- Users value the **flexibility** of Elastic Stack, enabling seamless integration and customization for diverse analytics needs.
- Users value the **unified log management** of Elastic Stack, enhancing issue correlation and system understanding seamlessly.
- Users value the **search efficiency** of Elastic Stack, enabling rapid issue correlation and comprehensive system insights.
- Users value the **versatility** of Elastic Stack, enjoying its seamless integration and flexibility across various deployment models.

##### Cons

- Users find the **resource management challenging** in Elastic Stack due to high demands and steep learning curves.
- Users report **complexity issues** with Elastic Stack, citing challenges in management, performance tuning, and steep learning curves.
- Users find Elastic Stack to be **expensive at scale** due to high resource requirements and additional licensing costs.
- Users find that Elastic Stack's **high memory usage** can lead to increased costs and complexity at scale.
- Users find the **learning curve steep** for Elastic Stack, needing expertise for optimal cluster management and performance.

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

**["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)

**["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)

#### 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-2026-07-21/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?

**["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)

**["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)

#### 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)

### [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% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find **scalability seamless** in Google Cloud Pub/Sub, with effortless management and integration for varying workloads.
- Users appreciate the **top-notch customer support** of Google Cloud Pub/Sub, enhancing their overall experience and functionality.
- Users find the **ease of use** in Google Cloud Pub/Sub remarkable, thanks to its intuitive interface and helpful resources.
- Users value the **easy access** to Google Cloud Pub/Sub, benefiting from intuitive interfaces and generous credits for beginners.
- Users appreciate the **easy integrations** of Google Cloud Pub/Sub, enhancing productivity for both producers and consumers.

##### Cons

- Users find Google Cloud Pub/Sub to be **more expensive** compared to alternatives like Apache Kafka.
- Users face the challenge of **message duplication** with Pub/Sub, requiring additional code for de-duplication.
- Users find the **slow processing** of Google Cloud Pub/Sub, especially for larger messages, to be a significant drawback.

#### 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)

### [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 commend Evam for its **ease of use** , featuring an intuitive interface that simplifies campaign design and execution.
- Users value Evam for its **real-time data handling and personalized campaign capabilities** , enhancing their campaign management significantly.
- Users value Evam for its **intuitive design** , enhancing campaign creation and execution with ease and efficiency.
- Users appreciate the **automation capabilities** of Evam for creating streamlined and efficient marketing campaigns in real-time.
- Users rave about the **flexibility of Evam** , enabling tailored solutions that adapt to diverse business needs and scales.

##### Cons

- Users find the **learning curve steep** , as many features are complex and require significant effort to master.
- Users find EVAM's system requires **difficult learning** , posing challenges for those lacking technical skills and experience.
- Users find the **steep learning curve** of Evam challenging, especially those without a technical background.
- Users find that **complex features** of Evam can be difficult to set up without prior technical knowledge.
- Users find the interface of Evam **not intuitive** , complicating campaign creation and increasing the need for additional support.

#### 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)

**["Intuitive UI/UX, Real-Time Data Connectors, and 8x Conversion Uplift"](https://www.g2.com/survey_responses/evam-review-12867501)**

**Rating:** 4.5/5.0 stars

_— Alfiya H._

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

#### 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)

### [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 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: 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 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)

### [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:** 4.1/5.0

**Total Reviews:** 131

#### 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:** 7.9/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.0/10 (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, Computer Software
- **Company Size:** 42% Large, 32% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **brilliant and easy-to-use interface** of Cloudera, enhancing their data analysis experience.
- Users value the **seamless scalability** of Cloudera, effectively handling vast amounts of data with ease.
- Users appreciate the **strong security features** of Cloudera, ensuring reliable data management and protection.
- Users value Cloudera for its **comprehensive big data management tools** , enhancing their data handling and scalability experience.
- Users appreciate the **scalability and ease of use** of Cloudera, making data management and reporting effortless.

##### Cons

- Users note that Cloudera's platform can be **expensive** to maintain and challenging to set up, especially for beginners.
- Users find the **complexity** of Cloudera challenging, especially when managing SQL queries and customization.
- Users find the **learning curve steep** with Cloudera, making setup and navigation challenging for beginners.
- Users find Cloudera's **poor documentation** makes navigating complex data configurations challenging and complicates error resolution.
- Users face significant **access issues** with Cloudera, including authorization errors and limited documentation support.

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

**["Reliable Platform for Managing Large-Scale Data Pipelines"](https://www.g2.com/survey_responses/cloudera-review-11455117)**

**Rating:** 4.5/5.0 stars

_— Paritosh C._

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

**["Easy to Use, Reliable, and Great for Team Collaboration"](https://www.g2.com/survey_responses/cloudera-review-12695378)**

**Rating:** 4.0/5.0 stars

_— Verified User in Computer Software_

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

#### 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)

### [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:** 114

#### 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:** 42% Large, 34% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** in IBM StreamSets, highlighting its intuitive interface and beginner-friendly features.
- Users praise the **user-friendly drag-and-drop interface** of IBM StreamSets, enhancing visualization and debugging efficiency.
- Users value the **effective data management capabilities** of IBM StreamSets for seamless integration and automation across environments.
- Users appreciate the **simplification of data integration workflows** in IBM StreamSets, making pipeline creation intuitive and efficient.
- Users value the **wide range of integrations** offered by IBM StreamSets, enhancing cloud and on-premise data connectivity.

##### Cons

- Users experience a **steep learning curve** , particularly when using advanced features and managing complex pipelines effectively.
- Users find the **pricing to be excessive** , especially for smaller teams, impacting overall satisfaction with IBM StreamSets.
- Users find the **learning difficulty** of advanced features in StreamSets to be time-consuming and not well-supported.
- Users often experience **slow performance** with IBM StreamSets, particularly when processing large volumes of data or complex pipelines.
- Users find the **steep learning curve** of IBM StreamSets challenging, especially with advanced features and configurations.

#### 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:** Information Technology and Services, Computer Software
- **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)

### [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?

**["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)

### [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:** 22

#### 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:** 9.0/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.4/10 (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)

### [Azure Event Hubs](https://www.g2.com/products/azure-event-hubs/reviews)

Azure Event Hubs is a scalable data streaming platform and event ingestion service, capable of receiving and processing millions of events per second. Event Hubs processes and stores events, data, or telemetry produced by distributed software and devices.

**Average Rating:** 4.2/5.0

**Total Reviews:** 12

#### How Do G2 Users Rate Azure Event Hubs?

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.8/10 (Category avg: 8.4/10)
- **Quality of Support:** 9.0/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Azure Event Hubs?

- **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?

- **Company Size:** 69% Small, 31% Large

#### What Are Recent G2 Reviews of Azure Event Hubs?

**["Azure Event Hub - Collect your event"](https://www.g2.com/survey_responses/azure-event-hubs-review-4706223)**

**Rating:** 4.0/5.0 stars

_— Chirag P._

[Read full review](https://www.g2.com/survey_responses/azure-event-hubs-review-4706223)

**["Azure Event Hubs-RS"](https://www.g2.com/survey_responses/azure-event-hubs-review-4279729)**

**Rating:** 5.0/5.0 stars

_— Rabish S._

[Read full review](https://www.g2.com/survey_responses/azure-event-hubs-review-4279729)

#### What Are G2 Users Discussing About Azure Event Hubs?

- [What is the difference between Azure event hub and event grid?](https://www.g2.com/discussions/what-is-the-difference-between-azure-event-hub-and-event-grid)
- [What is azure IOT event hub?](https://www.g2.com/discussions/what-is-azure-iot-event-hub)
- [Does Azure event hub have topics?](https://www.g2.com/discussions/does-azure-event-hub-have-topics)
- [What does Azure event hub do?](https://www.g2.com/discussions/what-does-azure-event-hub-do)

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

Apache Kafka is an open-source distributed event streaming platform developed by the Apache Software Foundation. It is designed to handle real-time data feeds with high throughput and low latency, making it ideal for building data pipelines, streaming analytics, and integrating data across various systems. Kafka enables organizations to publish, store, and process streams of records in a fault-tolerant and scalable manner, supporting mission-critical applications across diverse industries. Key Features and Functionality: - High Throughput and Low Latency: Kafka delivers messages at network-limited throughput with latencies as low as 2 milliseconds, ensuring efficient data processing. - Scalability: It can scale production clusters up to thousands of brokers, handling trillions of messages per day and petabytes of data, while elastically expanding and contracting storage and processing capabilities. - Durable Storage: Kafka stores streams of data safely in a distributed, durable, and fault-tolerant cluster, ensuring data integrity and availability. - High Availability: The platform supports efficient stretching of clusters over availability zones and connects separate clusters across geographic regions, enhancing resilience. - Stream Processing: Kafka provides built-in stream processing capabilities through the Kafka Streams API, allowing for operations like joins, aggregations, filters, and transformations with event-time processing and exactly-once semantics. - Connectivity: With Kafka Connect, it integrates seamlessly with hundreds of event sources and sinks, including databases, messaging systems, and cloud storage services. Primary Value and Solutions Provided: Apache Kafka addresses the challenges of managing real-time data streams by offering a unified platform that combines messaging, storage, and stream processing. It enables organizations to: - Build Real-Time Data Pipelines: Facilitate the continuous flow of data between systems, ensuring timely and reliable data delivery. - Implement Streaming Analytics: Analyze and process data streams in real-time, allowing for immediate insights and actions. - Ensure Data Integration: Seamlessly connect various data sources and sinks, promoting a cohesive data ecosystem. - Support Mission-Critical Applications: Provide a robust and fault-tolerant infrastructure capable of handling high-volume and high-velocity data, essential for critical business operations. By leveraging Kafka's capabilities, organizations can modernize their data architectures, enhance operational efficiency, and drive innovation through real-time data processing and analytics.

**Average Rating:** 4.5/5.0

**Total Reviews:** 127

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

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10)
- **Ease of Admin:** 7.8/10 (Category avg: 8.4/10)
- **Quality of Support:** 7.8/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.6/10 (Category avg: 8.7/10)

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

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

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 46% Large, 33% Medium

#### What Do G2 Reviewers Say About Apache Kafka?

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **high scalability** of Apache Kafka, making it perfect for growing data volumes in enterprises.
- Users value the **real-time data processing** of Apache Kafka, appreciating its speed, scalability, and reliability across systems.
- Users appreciate the **easy integrations** of Apache Kafka, enjoying seamless connections with their Java applications.
- Users praise the **high scalability and performance** of Apache Kafka, making it perfect for handling large data volumes.
- Users value the **high scalability and performance** of Apache Kafka, making it perfect for handling growing data volumes.

##### Cons

- Users struggle with the **operational complexity** of Apache Kafka, which increases resource consumption and limits message queuing capabilities.
- Users find the **data management issues** overwhelming, especially smaller teams needing dedicated expertise for maintenance and scaling.
- Users find that **debugging issues** in Apache Kafka can be challenging and requires significant effort to resolve.
- Users find the **difficult learning curve** of Apache Kafka overwhelming, especially for smaller teams needing dedicated expertise.
- Users find the **limited customization** in Apache Kafka challenging, particularly during initial setup and management tasks.

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

**["Kafka Delivers Scalable, Durable Real-Time Performance"](https://www.g2.com/survey_responses/apache-kafka-review-12660700)**

**Rating:** 5.0/5.0 stars

_— Aayush M._

[Read full review](https://www.g2.com/survey_responses/apache-kafka-review-12660700)

**["Reliable Real-Time Data Streaming at Scale with Kafka"](https://www.g2.com/survey_responses/apache-kafka-review-12593230)**

**Rating:** 4.0/5.0 stars

_— Verified User in Retail_

[Read full review](https://www.g2.com/survey_responses/apache-kafka-review-12593230)

#### What Are G2 Users Discussing About Apache Kafka?

- [What is your primary use case for Apache Kafka, and how has it impacted your data streaming processes?](https://www.g2.com/discussions/what-is-your-primary-use-case-for-apache-kafka-and-how-has-it-impacted-your-data-streaming-processes)
- [What is Apache Kafka used for?](https://www.g2.com/discussions/apache-kafka-what-is-apache-kafka-used-for) - 1 comment
- [What is Apache Kafka architecture?](https://www.g2.com/discussions/apache-kafka-what-is-apache-kafka-architecture)
- [What is Kafka in software?](https://www.g2.com/discussions/what-is-kafka-in-software)
- [What are the characteristics of Apache Kafka?](https://www.g2.com/discussions/apache-kafka-what-are-the-characteristics-of-apache-kafka)

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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

| 

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Cross-system CRM data sync and deduplication

 | 

User Review

"A Powerful Platform for Centralizing and Managing Customer Data"

 |
| 

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Centralized log streaming with real-time observability

 | 

User Review

"Powerful Centralized Log Management with Elastic Stack"

 |
| 

 | 

Real-time cross-channel event streaming and audience activation

 | 

User Review

"A Robust Customer Data Platform for Real-Time Data and Personalization"

 |
| 

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Serverless event-driven streaming inside GCP pipelines

 | 

User Review

"A dependable way to connect services across GCP"

 |
| 

 | 

Event-driven real-time customer journey decisioning

 | 

User Review

"EVAM Makes Customer Communication Efficient and Personal"

 |
| 

 | 

AWS-native log analytics and real-time search

 | 

User Review

"Scalable and Managed Solution for Log Analytics"

 |
| 

 | 

AWS-native real-time event stream analytics

 | 

User Review

"Amazon Kinesis Data Streams: Reliable Tool for Real-Time Data Streaming"

 |
| 

 | 

AWS-native real-time streaming data analytics

 | 

User Review

"Amazon Kinesis: Empowering Real-Time Insights with Scalability and Integration"

 |
| 

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Real-time streaming pipelines with Kafka-Spark orchestration

 | 

User Review

"Reliable Platform for Managing Large-Scale Data Pipelines"

 |
| 

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Low-code streaming pipelines with schema-drift handling

 | 

User Review

"Powerful Data Integration With IBM Stream sets."

 |

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