Best Stream Analytics Software

How Many Stream Analytics Software Products Does G2 Track?

Total Products under this Category: 77

Category Stats (Sep 2026)

  • Average Rating: 4.45/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Cloudera (+2.13%) - Among all products in this category, Cloudera recorded the largest rating increase compared to last month

Last updated: September 15, 2026

How Does G2 Rank Stream Analytics Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 3,500+ Authentic Reviews
  • 77+ 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

Highlighted products: HubSpot Data Hub, Elastic Stack, Tealium, Evam, Google Cloud Pub/Sub, Amazon OpenSearch Service, Amazon Kinesis Data Streams, 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-2026-08-12&focus%5B%5D=evam&focus%5B%5D=google-cloud-pub-sub&focus%5B%5D=amazon-opensearch-service&focus%5B%5D=aws-amazon-kinesis-data-streams&focus%5B%5D=amazon-web-services-aws-amazon-kinesis)

HubSpot Data Hub

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: 565

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
  • Company Website:
  • Year Founded: 2006
  • HQ Location: Cambridge, Massachusetts, United States
  • Twitter: @HubSpot
    784,270 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    17,628 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 value the two-way data sync of HubSpot Data Hub, enhancing efficiency and collaboration across teams.
  • Users benefit from automation capabilities in HubSpot Data Hub, significantly streamlining tasks and enhancing overall efficiency.
  • 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?

What Are G2 Users Discussing About HubSpot Data Hub?

Elastic Stack

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: 104

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
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • Twitter: @elastic
    65,200 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    10,457 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 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?

What Are G2 Users Discussing About Elastic Stack?

Tealium

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: 443

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
  • Company Website:
  • Year Founded: 2011
  • HQ Location: San Diego, CA
  • Twitter: @tealium
    4,730 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    552 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?

What Are G2 Users Discussing About Tealium?

Evam

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: 225

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
  • Company Website:
  • Year Founded: 2015
  • HQ Location: London
  • LinkedIn® Page: www.linkedin.com
    127 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?

What Are G2 Users Discussing About Evam?

Google Cloud Pub/Sub

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
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    301,144 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?

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

Amazon OpenSearch Service

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

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)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    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?

What Are G2 Users Discussing About Amazon OpenSearch Service?

Amazon Kinesis Data Streams

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)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    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?

What Are G2 Users Discussing About Amazon Kinesis Data Streams?

Amazon Kinesis

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)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    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 Managed Streaming for Apache Kafka (Amazon MSK)

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)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    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)?

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

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. Cloudera Anywhere Cloud™: Build and scale applications across any environment. The modular hybrid data and AI platform engineered for the agentic era empowers teams to deploy production-grade data and AI workloads across multi-cloud, on-premises, and sovereign environments while maintaining digital sovereignty. 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: 189

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
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Santa Clara, CA
  • Twitter: @cloudera
    106,442 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,505 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, 35% 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?

What Are G2 Users Discussing About Cloudera?

Amazon Kinesis Data Firehose

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)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    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?

Confluent

Today’s customers expect every digital experience to be immediate, connected, and personalized. That takes more than data at rest - it takes trusted data in motion. Confluent is the complete Data Streaming Platform for keeping data in motion from the moment business change occurs through processing, governance, and serving. Built by the original creators of Apache Kafka®, Confluent connects applications, services, and systems; processes streams in real time with Apache Flink®; and serves trusted, always-current data wherever it is needed across cloud, hybrid, and self-managed environments. With deployment options including fully managed Confluent Cloud, self-managed Confluent Platform and Brint-your-own-cloud Confluent WarpStream, teams can power event-driven applications, real-time analytics, AI, and operational workflows while choosing the operating model that fits their environment and turning live data into better customer experiences and business outcomes.

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
  • Company Website:
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®

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 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?

What Are G2 Users Discussing About Confluent?

Amazon Kinesis Data Analytics

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)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    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?

IBM StreamSets

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
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 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 love the effective data management capabilities of IBM StreamSets, simplifying pipeline creation and monitoring across environments.
  • Users appreciate the simplicity of data integration workflows in IBM StreamSets, enjoying its intuitive visual pipeline design.
  • 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 find the learning difficulty of advanced features in StreamSets challenging, impacting onboarding and overall experience.
  • Users experience slow performance with IBM StreamSets, particularly when managing large data volumes or complex configurations.
  • Users struggle with the steep learning curve of IBM StreamSets, requiring deep technical knowledge to use advanced features.

What Are Recent G2 Reviews of IBM StreamSets?

What Are G2 Users Discussing About IBM StreamSets?

Informatica Data Integration and Engineering

Cloud Data Integration (CDI) is a comprehensive, AI-powered ETL and ELT solution designed to easily move, transform, and synchronize data between various sources and target systems across any cloud, anywhere, at scale. Built on a modern technology stack, CDI offers easy, efficient and cost-effective data ingestion, transformation, synchronization, and replication for a multi-cloud and serverless world for everyone and everywhere. It covers diverse integration patterns, ensuring you have well-architected and seamlessly automated data pipelines for all your advanced analytics and AI needs.

Average Rating: 4.3/5.0

Total Reviews: 236

How Do G2 Users Rate Informatica Data Integration and Engineering?

  • Has the product been a good partner in doing business?: 8.4/10 (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 Informatica Data Integration and Engineering?

  • Seller: Informatica
  • Company Website:
  • Year Founded: 1993
  • HQ Location: Redwood City, CA
  • Twitter: @Informatica
    99,643 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,473 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 59% Large, 28% Medium

What Do G2 Reviewers Say About Informatica Data Integration and Engineering?

AI-generated summary from verified user reviews

Pros
  • Users find Informatica Data Integration's ease of use remarkable, favoring its intuitive interface and drag-and-drop functionality.
  • Users value the efficiency of Informatica Data Integration, enabling reliable and scalable ETL processes seamlessly.
  • Users value the ease of use and extensive connectivity of Informatica Cloud Data Integration for efficient ETL processes.
  • Users value the time-saving capabilities of Informatica Data Integration, benefiting from efficient cloud access and automation.
  • Users appreciate the automation features of Informatica Data Integration, enhancing efficiency in data workflows and scheduling.
Cons
  • Users find the complexity of setup and configuration challenging, particularly for beginners navigating the platform.
  • Users find the complex usability of Informatica Data Integration challenging, especially during setup and performance optimization.
  • Users find that debugging can be difficult, as it often requires significant effort and expertise to manage effectively.
  • Users find the difficult setup process challenging, especially for newcomers to the Informatica platform.
  • Users find the error messages frustrating and lacking documentation, complicating their experience with the tool.

What Are Recent G2 Reviews of Informatica Data Integration and Engineering?

What Are G2 Users Discussing About Informatica Data Integration and Engineering?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated February 5, 2026