Best Event Stream Processing Software for Small Business

How Many Event Stream Processing Software Products Does G2 Track?

Total Products under this Category: 75

Category Stats (Sep 2026)

  • Average Rating: 4.37/5 (↓0.01 vs Aug 2026) The average rating of products in this category, based on all submitted ratings

Last updated: September 11, 2026

How Does G2 Rank Event Stream Processing Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
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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 Event Stream Processing Software

G2 Grid® for Event Stream Processing Software plotting products by satisfaction and market presence

Highlighted products: Aiven for Apache Kafka, Amazon Managed Streaming for Apache Kafka (Amazon MSK), Confluent, Apache Kafka, Redpanda Streaming, Ably Realtime, Nexla, and Amazon Kinesis Data Streams.

Underlying data: [Grid® JSON](https://www.g2.com/categories/event-stream-processing/grids.json?focus%5B%5D=aiven-for-apache-kafka&focus%5B%5D=amazon-managed-streaming-for-apache-kafka-amazon-msk&focus%5B%5D=confluent&focus%5B%5D=apache-kafka&focus%5B%5D=redpanda-streaming&focus%5B%5D=ably-realtime&focus%5B%5D=nexla&focus%5B%5D=aws-amazon-kinesis-data-streams&segment=small-business)

Aiven for Apache Kafka

Aiven for Apache Kafka® is a fully managed distributed event streaming service, that can be deployed in the cloud of your choice. Aiven for Apache Kafka is ideal for event-driven applications, near-real-time data transfer and data pipelines, streaming analytics, and any use case that requires moving huge amounts of real-time data between applications and systems. With Aiven for Apache Kafka you can set up fully managed Kafka clusters in less than 10 minutes — using the Aiven web console or programmatically via Aiven’s API, CLI, Terraform provider or Kubernetes operator. You can easily connect it to your existing tech stack with a fully managed Apache Kafka Connect service with over 30+ connectors. Monitoring your clusters with logs and metrics is also available out of the box via multiple service integrations. Get access to a complete open source ecosystem of streaming technologies and tools around Apache Kafka to fully manage, and operate a real time data infrastructure at scale using: Aiven for Apache Kafka: the core event streaming framework allowing you to transport data within your organization Aiven for Apache Kafka Connect: a fully managed, fully open source, distributed service enabling you to integrate your existing data sources and sinks seamlessly with Aiven for Apache Kafka. Aiven for Apache Kafka MirrorMaker2: a fully managed, fully open source distributed data replication service for cluster to cluster data replication, disaster recovery and geo proximity across multiple regions. Karapace®: a fully open source Kafka Schema Registry that applications can access to serialize and deserialize messages with popular formats such as AVRO, Protobuf and JSON. Aiven for Apache Flink®: a fully managed, fully open source streaming SQL engine for stateful stream processing over your data streams. Klaw: an open source data governance tool that helps enterprises exercise Apache Kafka® topic and schema governance. Aiven is ISO / IEC 27001: 2013, SOC 2, HIPAA, GDPR, and CCPA compliant. Check our pricing and try our free 30-day trial at https://aiven.io/kafka.

Average Rating: 4.3/5.0

Total Reviews: 239

How Do G2 Users Rate Aiven for Apache Kafka?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.9/10)
  • Data Sources: 8.3/10 (Category avg: 8.6/10)
  • Data Processing: 8.4/10 (Category avg: 8.8/10)
  • Real-Time Processing: 8.5/10 (Category avg: 9.1/10)

Who Is the Company Behind Aiven for Apache Kafka?

  • Seller: Aiven
  • Year Founded: 2016
  • HQ Location: Helsinki, Southern Finland
  • Twitter: @aiven_io
    4,104 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    476 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: 45% Medium, 29% Small

What Do G2 Reviewers Say About Aiven for Apache Kafka?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the easy setup of Aiven for Apache Kafka, allowing them to focus on data streaming without hassle.
  • Users value the ease of use of Aiven for Apache Kafka, enjoying a straightforward setup and minimal training requirements.
  • Users appreciate the smooth scaling of Aiven for Apache Kafka, enhancing their workflow without infrastructure worries.
  • Users value the management ease of Aiven for Apache Kafka, facilitating quick deployment and self-management of clusters.
  • Users appreciate the high reliability of Aiven for Apache Kafka, enjoying ease of use and dependable support.
Cons
  • Users note that the pricing increases quickly as usage scales, making it expensive for larger deployments.
  • Users express frustration with poor documentation, which complicates advanced configurations and slows down their workflow.
  • Users find some advanced configuration options limited, hindering teams needing extensive customization and control over their setup.
  • Users find Aiven for Apache Kafka to have significant operational complexity, requiring extensive management that can overwhelm smaller teams.
  • Users find Aiven for Apache Kafka not user-friendly, citing unintuitive configurations and minor UI glitches affecting usability.

What Are Recent G2 Reviews of Aiven for Apache Kafka?

What Are G2 Users Discussing About Aiven for Apache Kafka?

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)
  • Data Sources: 8.9/10 (Category avg: 8.6/10)
  • Data Processing: 8.9/10 (Category avg: 8.8/10)
  • Real-Time Processing: 8.9/10 (Category avg: 9.1/10)

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)?

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)
  • Data Sources: 8.8/10 (Category avg: 8.6/10)
  • Data Processing: 8.7/10 (Category avg: 8.8/10)
  • Real-Time Processing: 9.0/10 (Category avg: 9.1/10)

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: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 36% Large, 33% Small

What Do G2 Reviewers Say About Confluent?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the simplicity and scalability of Confluent's managed cloud services, enhancing real-time data integration.
  • Users appreciate the effortless integration of Confluent's cloud services, enhancing their experience with Kafka and Flink.
  • Users appreciate the wide range of connectors in Confluent, enhancing real-time data integration effortlessly.
  • Users appreciate the effortless data integration offered by Confluent, enhancing real-time processing with robust tools and scalability.
  • Users appreciate the ease of use of Confluent, enjoying simplified data integration and a user-friendly interface.
Cons
  • Users note the high cost estimation with data growth and a steep learning curve for effective use.
  • Users find Confluent expensive as costs rise with data volume, and learning the system can be time-consuming.
  • Users face initial difficulties with a steep learning curve and costly pricing as data volumes increase.
  • Users find a lack of features in Confluent, especially in lower tiers, leading to increased costs and complexity.
  • Users face a steep learning curve with Confluent, requiring significant time to master its workflow and features.

What Are Recent G2 Reviews of Confluent?

What Are G2 Users Discussing About Confluent?

Apache Kafka

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: 126

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)
  • Data Sources: 8.7/10 (Category avg: 8.6/10)
  • Data Processing: 9.0/10 (Category avg: 8.8/10)
  • Real-Time Processing: 9.1/10 (Category avg: 9.1/10)

Who Is the Company Behind Apache Kafka?

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 47% Large, 33% Medium

What Do G2 Reviewers Say About Apache Kafka?

AI-generated summary from verified user reviews

Pros
  • Users value the high scalability of Apache Kafka, which excels in managing growing data volumes efficiently.
  • Users praise the high scalability and performance of Apache Kafka, making it perfect for enterprise data growth.
  • Users value the high scalability and performance of Apache Kafka, making it perfect for growing enterprise data needs.
  • Users praise real-time data processing in Apache Kafka for its speed, reliability, and scalability across systems.
  • Users commend the reliability of Apache Kafka, praising its durability, fault tolerance, and scalability for data processing.
Cons
  • Users struggle with operational complexity and high resource consumption, finding Kafka's message queuing features limited.
  • Users feel that data management issues in Apache Kafka require extensive expertise, which can overwhelm smaller teams.
  • Users find debugging issues in Apache Kafka challenging, requiring significant effort and effective tools for resolution.
  • Users find the difficult learning curve of Apache Kafka overwhelming for smaller teams, requiring dedicated expertise for management.
  • Users find limited customization challenging, especially with complex setups and manual management of brokers and zookeepers.

What Are Recent G2 Reviews of Apache Kafka?

What Are G2 Users Discussing About Apache Kafka?

Redpanda Streaming

Redpanda is the streaming platform that simplifies building real-time AI applications. It’s a simple, fast, and secure solution that lets modern engineering teams ship streaming, analytics, and agentic AI apps without the complexity or cost of traditional Kafka-based systems. It comes with 300+ built-in connectors, Kafka-API compatibility and industry-leading data and AI governance with a Bring-Your- Own-Cloud (BYOC) deployment option. Global leaders including Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone and 2 of the top 5 banks in the U.S. rely on Redpanda to process hundreds of terabytes of data a day. Backed by premier venture investors Lightspeed, GV and Haystack VC, Redpanda is a diverse, people-first organization with teams distributed around the globe.

Average Rating: 4.7/5.0

Total Reviews: 53

How Do G2 Users Rate Redpanda Streaming?

  • Has the product been a good partner in doing business?: 9.6/10 (Category avg: 8.9/10)
  • Data Sources: 9.8/10 (Category avg: 8.6/10)
  • Data Processing: 9.9/10 (Category avg: 8.8/10)
  • Real-Time Processing: 9.6/10 (Category avg: 9.1/10)

Who Is the Company Behind Redpanda Streaming?

  • Seller: Redpanda Data
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco, US
  • Twitter: @redpandadata
    5,337 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    211 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 64% Medium, 21% Small

What Do G2 Reviewers Say About Redpanda Streaming?

AI-generated summary from verified user reviews

Pros
  • Users highlight the exceptional customer support of Redpanda, finding the team responsive and easy to work with.
  • Users find Redpanda Streaming to be easy to use, facilitating quick setups and seamless integration with other services.
  • Users praise the performance of Redpanda Streaming, highlighting its speed and reliability in enhancing their infrastructure.
  • Users highlight the fast performance of Redpanda Streaming, enhancing development speed and system reliability significantly.
  • Users rave about the reliability and ease of use of Redpanda Streaming, enhancing productivity and support throughout development.
Cons
  • Users find the complexity of the web interface limits their experience, requiring CLI for advanced tasks.
  • Users point out data management issues, struggling with setup complexity and incomplete documentation affecting usability.
  • Users find the missing features in Redpanda Streaming complicate setup and integration, impeding a smoother experience.
  • Users often face poor documentation that complicates setup and integration, requiring guesswork for feature utilization.
  • Users find the poor UI design challenging, often needing to rely on the CLI for complex tasks.

What Are Recent G2 Reviews of Redpanda Streaming?

Ably Realtime

Ably helps teams deliver resilient AI UX and high-performance live experiences that stay fast and in sync worldwide. We provide the global realtime layer for AI agents, chat, notifications, live dashboards, and collaboration - engineered to handle peak demand without self-managed infrastructure. Teams like HubSpot and Intercom use Ably to avoid the cost and complexity of building and operating realtime systems, while still getting predictable performance at serious scale, handling 2T+ API operations per month. Ably’s Pub/Sub, Chat, and AI Transport products are unified by design, with developer-friendly APIs and SDKs that integrate across your stack.

Average Rating: 4.8/5.0

Total Reviews: 67

How Do G2 Users Rate Ably Realtime?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 8.9/10)
  • Data Sources: 8.1/10 (Category avg: 8.6/10)
  • Data Processing: 9.0/10 (Category avg: 8.8/10)
  • Real-Time Processing: 9.2/10 (Category avg: 9.1/10)

Who Is the Company Behind Ably Realtime?

  • Seller: Ably Realtime
  • Year Founded: 2016
  • HQ Location: London, GB
  • Twitter: @ablyrealtime
    1,862 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    116 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Small, 28% Medium

What Do G2 Reviewers Say About Ably Realtime?

AI-generated summary from verified user reviews

Pros
  • Users praise Ably's customer support for being knowledgeable, responsive, and actively engaging, enhancing the overall experience.
  • Users find Ably Realtime's ease of use exceptional, enabling seamless integration and effortless management of messaging services.
  • Users value the exceptional reliability of Ably Realtime, benefiting from consistent performance and support since 2016.
  • Users praise the easy integrations of Ably, enhancing development efficiency and streamlining real-time application implementation.
  • Users highlight the exceptional documentation of Ably, facilitating smooth integration and efficient problem-solving.
Cons
  • Users find the expensive pricing of Ably Realtime challenging, especially for startups, despite its overall value.
  • Users face data management issues due to lack of monitoring tools and confusing usage limits impacting their planning.
  • Users note the challenging learning curve with Ably, requiring initial planning and understanding of socket-based applications.
  • Users find pricing issues with Ably Realtime, requiring careful budget management as usage scales up.
  • Users report segmentation issues that complicate usage limits and message duplication, affecting initial setup and planning.

What Are Recent G2 Reviews of Ably Realtime?

What Are G2 Users Discussing About Ably Realtime?

Nexla

Nexla is the data layer for enterprise AI. The platform gives AI applications and agents the connectivity, context, and governance to operate across 1,000+ enterprise systems in real time. Its MCP Studio lets teams build task-specific, governed MCP servers conversationally, while the Helix Context Layer grounds every agent interaction in an enterprise's systems, data, schemas, documentation, and business logic. Nexla processes more than 10 trillion records and actions annually (over 1 trillion monthly) and is SOC 2 Type II, HIPAA, and GDPR compliant. Trusted by industry innovators like Autodesk, DoorDash, Instacart, Johnson & Johnson, LinkedIn, and LiveRamp. Try our AI Data Engineer at https://express.dev Increase the impact of your data engineering team ✅ Ship production-ready custom GenAI applications, faster ✅ Free engineering capacity for AI innovation, not pipeline upkeep ✅ Automate data validation, quality monitoring & alerts, no manual fixes ✅ Empower every user with Pro/Low/No-code collaboration ✅ Eliminate costly replication & reduce storage bills Go beyond one integration pattern, invest in architecture built for AI ✅ Agentic data integration with AI-built pipelines & governed MCP servers ✅ RAG-ready, alongside ELT, ETL, API/API proxy patterns ✅ Bi-directional connectors, out of the box & on demand ✅ Any processing speed, streaming, real-time, batch ✅ Any data type, unstructured, structured, semi-structured ✅ Full data lineage, search & tagging for auditability ✅ Metadata-driven architecture built to scale with AI workloads Nexla is a Gartner Cool Vendor and pairs perfectly with the technologies you rely on ✅ Compute: AWS, Azure, Google Cloud, On-Premise ✅ Storage: S3, Redshift, BigQuery, Snowflake, Oracle, Databricks, Kafka, Redis, MongoDB, Postgres, MySQL ✅ Applications: SAP, Salesforce, Marketo, Hubspot, Amazon Seller Central, Google Ads, API, Salesforce ✅ Catalogs: Alation, Collibra, data.world ✅ Webhooks, emails, FTP & APIs ✅ Vector database & LLM: Pinecone, GPT, Falcon, LLaMDa And many more Differentiators & Awards 🏆 2025 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 2024 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 2023 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 2022 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools

Average Rating: 4.6/5.0

Total Reviews: 62

How Do G2 Users Rate Nexla?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 8.9/10)
  • Data Sources: 9.2/10 (Category avg: 8.6/10)
  • Data Processing: 9.2/10 (Category avg: 8.8/10)
  • Real-Time Processing: 9.3/10 (Category avg: 9.1/10)

Who Is the Company Behind Nexla?

  • Seller: Nexla
  • Company Website:
  • Year Founded: 2016
  • HQ Location: San Mateo, California
  • Twitter: @NexlaInc
    944 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    71 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Insurance
  • Company Size: 41% Medium, 33% Small

What Do G2 Reviewers Say About Nexla?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use of Nexla, praising its user-friendly interface and seamless integration capabilities.
  • Users value the effortless automation in Nexla, enabling streamlined workflows and efficient data management across teams.
  • Users value the user-friendly interface of Nexla, enabling effortless management of complex data pipelines and automated flows.
  • Users praise the easy integration of Nexla, enhancing accessibility and streamlining connections across various data sources.
  • Users value the time-saving capabilities of Nexla, significantly reducing manual effort in data integration.
Cons
  • Users find the learning difficulty of Nexla challenging, particularly due to its complex features and insufficient documentation.
  • Users find the difficult learning curve of Nexla challenging, especially when navigating complex features and setup.
  • Users find the learning curve steep, especially with complex features requiring prior knowledge and better documentation.
  • Users report slow performance with UI and searches, especially during large data processing and multiple flows.
  • Users find the poor documentation of Nexla limits their understanding of advanced features and complex configurations.

What Are Recent G2 Reviews of Nexla?

What Are G2 Users Discussing About Nexla?

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)
  • Data Sources: 9.2/10 (Category avg: 8.6/10)
  • Data Processing: 9.1/10 (Category avg: 8.8/10)
  • Real-Time Processing: 9.4/10 (Category avg: 9.1/10)

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?

Red Hat OpenShift Streams for Apache Kafka

Red Hat® OpenShift® Streams for Apache Kafka is a managed cloud service that provides a streamlined developer experience for building, deploying, and scaling new cloud-native applications or modernizing existing systems.

Average Rating: 4.4/5.0

Total Reviews: 26

How Do G2 Users Rate Red Hat OpenShift Streams for Apache Kafka?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 8.9/10)
  • Data Sources: 8.6/10 (Category avg: 8.6/10)
  • Data Processing: 8.3/10 (Category avg: 8.8/10)
  • Real-Time Processing: 8.5/10 (Category avg: 9.1/10)

Who Is the Company Behind Red Hat OpenShift Streams for Apache Kafka?

  • Seller: Red Hat
  • Year Founded: 1993
  • HQ Location: Raleigh, NC
  • Twitter: @RedHat
    300,769 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    19,487 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 42% Small, 38% Large

What Are Recent G2 Reviews of Red Hat OpenShift Streams for Apache Kafka?

What Are G2 Users Discussing About Red Hat OpenShift Streams for Apache Kafka?

Spark Streaming

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part.

Average Rating: 4.2/5.0

Total Reviews: 38

How Do G2 Users Rate Spark Streaming?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.9/10)
  • Data Sources: 9.0/10 (Category avg: 8.6/10)
  • Data Processing: 9.2/10 (Category avg: 8.8/10)
  • Real-Time Processing: 9.0/10 (Category avg: 9.1/10)

Who Is the Company Behind Spark Streaming?

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 43% Medium, 30% Small

What Are Recent G2 Reviews of Spark Streaming?

What Are G2 Users Discussing About Spark Streaming?

InfinyOn Cloud

InfinyOn, a real-time data streaming company, has architected a programmable platform for data in motion that is built on Rust and enables continuous intelligence for connected apps. SmartModules enable enterprises to intelligently program their data pipelines as the data flows between producers and consumers in real-time. With Fluvio OSS or InfinyOn Cloud, enterprises can quickly correlate events, apply business intelligence, and derive value as they occur. Our mission is to accelerate the world's transition to the real-time economy.

Average Rating: 4.8/5.0

Total Reviews: 15

How Do G2 Users Rate InfinyOn Cloud?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 8.9/10)
  • Data Sources: 8.3/10 (Category avg: 8.6/10)
  • Data Processing: 8.6/10 (Category avg: 8.8/10)
  • Real-Time Processing: 9.2/10 (Category avg: 9.1/10)

Who Is the Company Behind InfinyOn Cloud?

  • Seller: InfinyOn
  • Year Founded: 2019
  • HQ Location: Santa Clara, US
  • Twitter: @infinyon
    414 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    7 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 73% Small, 20% Medium

What Are Recent G2 Reviews of InfinyOn Cloud?

What Are G2 Users Discussing About InfinyOn Cloud?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated