Best Event Stream Processing Software - Page 3

How Many Event Stream Processing Software Products Does G2 Track?

Total Products under this Category: 76

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
  • 2,700+ Authentic Reviews
  • 76+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Event Stream Processing Software

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

Highlighted products: Aiven for Apache Kafka, Redpanda Streaming, Amazon Managed Streaming for Apache Kafka (Amazon MSK), Confluent, Amazon Kinesis Data Streams, Google Cloud Dataflow, IBM Event Streams, and Apache Kafka.

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

SAS Event Stream Processing

SAS Event Stream Processing continuously ingests, processes and delivers insights on live data stream detecting patterns of interest, predictive results, and pattern detection. No stream of data is too big or too fast. SAS Event Stream Processing provides design-time programming interfaces for data scientists and graphical drag and drop interfaces for business analysts, a low-latency, high throughput run-time engine for exceptional processing speeds, as well as deployment and monitoring components for operational system support to quickly publish analytics into production environments. Whether data generated is machine-readable, human-readable or a combination of both, SAS Event Stream Processing scales to analyze millions of events per second (before it is persisted to a data store) – helping you decide what’s important to action, what can be ignored and what should be stored. So if response time counts, and action needs to be taken before the data is out-of-date (i.e. low latency), and/or when the data throughput volume requires decisions be made before the data is stored, SAS deciphers streaming data to generate alerts that need to be issued, pinpoint event relevance and urgency for action and delineate signals from the noise for further processing. For all types of users who support mission critical processes and digital transformation, SAS Event Stream Processing provides the ability to deploy streaming analytics solutions that are industry agnostic.

Average Rating: 4.1/5.0

Total Reviews: 7

How Do G2 Users Rate SAS Event Stream Processing?

  • Data Sources: 8.3/10 (Category avg: 8.6/10)
  • Data Processing: 9.3/10 (Category avg: 8.8/10)
  • Real-Time Processing: 9.0/10 (Category avg: 9.1/10)

Who Is the Company Behind SAS Event Stream Processing?

  • Seller: SAS Institute Inc.
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

  • Company Size: 63% Medium, 25% Small

What Do G2 Reviewers Say About SAS Event Stream Processing?

AI-generated summary from verified user reviews

Pros
  • Users find SAS Event Stream Processing extremely easy to use, enabling intuitive development and efficient customer engagement.
  • Users appreciate the high efficiency and speed of SAS Event Stream Processing for real-time data streaming and analysis.
  • Users value the seamless integrations of SAS Event Stream Processing for enhancing customer engagement and streamlining workflows.
  • Users appreciate the efficiency and speed of SAS Event Stream Processing for real-time data handling and integration.
  • Users appreciate the high computation speed of SAS Event Stream Processing, enabling efficient data handling and insights.
Cons
  • Users experience slow performance with SAS Event Stream Processing, especially during heavy data loads and server traffic.
  • Users experience data management issues with SAS Event Stream Processing, particularly with slow performance under heavy data loads.
  • Users often face integration issues that can lead to inefficiencies and frustrating delays during high workloads.
  • Users report challenges with limited availability of SAS Event Stream Processing, impacting infrastructure stability and performance.
  • Users experience limited community support, making it difficult to find resources and share feedback effectively.

What Are Recent G2 Reviews of SAS Event Stream Processing?

Lenses

Lenses is the Developer Experience for enterprises to work with every Apache Kafka-based technology, in one place. Trusted by Europcar, Adidas, Daimler and Kandji, Lenses simplifies data streaming across hybrid and multi-cloud environments, giving engineers the autonomy to explore, integrate, and govern data -- and modernize their applications with ease: - Efficiently find, explore, process, integrate and govern streams with a data catalog, SQL studio and SQL stream processors - Confidently share, migrate and back up data streams across any cloud or environment with the Kafka to Kafka replicator - Lenses K2K - Reduce the manual burden of Kafka operations with Lenses AI Agents. Product Website www.lenses.io

Average Rating: 4.2/5.0

Total Reviews: 17

How Do G2 Users Rate Lenses?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.9/10)
  • Data Sources: 7.5/10 (Category avg: 8.6/10)
  • Data Processing: 7.7/10 (Category avg: 8.8/10)
  • Real-Time Processing: 8.0/10 (Category avg: 9.1/10)

Who Is the Company Behind Lenses?

  • Seller: Lenses.io Ltd
  • Company Website:
  • Year Founded: 2016
  • HQ Location: London, England
  • Twitter: @lensesio
    732 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    33 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 47% Large, 35% Medium

What Do G2 Reviewers Say About Lenses?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Lenses, finding it simplifies data visualization and stream management.
  • Users appreciate the simple and effective user interface of Lenses, making navigation and work enjoyable.
  • Users value the user-friendly interface of Lenses, appreciating its clear visualization and SQL querying for Kafka resources.
  • Users appreciate the intuitive design of Lenses, enhancing their productivity and making Kafka more accessible.
  • Users appreciate the dependable data management of Lenses, finding it simple and effective for their workflow.
Cons
  • Users are concerned about feature limitations leading to potential vendor lock-in and limited future flexibility.
  • Users express concern over the risk of vendor lock-in and stagnant development, limiting future flexibility and improvements.
  • Users feel that limited access to features leads to vendor lock-in, affecting flexibility and future interoperability.
  • Users find Lenses lacking essential features and improvements, resulting in a stagnant user experience over the years.
  • Users express concern over the product maturity of Lenses, citing unresolved bugs and a lack of documentation and innovation.

What Are Recent G2 Reviews of Lenses?

GridGain

GridGain® is an in-memory computing platform solution designed to help organizations manage and process large volumes of data in real-time. Built on the robust Apache® Ignite™ framework, GridGain enables businesses to accelerate their applications, enhance data processing speeds, and scale efficiently to meet the demands of modern digital enterprises. This platform is particularly well-suited for scenarios where rapid data access and processing are critical, such as in financial services, e-commerce, telecommunications, and IoT applications. The target audience for GridGain includes IT professionals, data engineers, and business analysts who require high-performance computing capabilities to support their data-intensive applications. Organizations facing challenges related to data latency, scalability, and the need for real-time analytics will find GridGain to be a valuable solution. By leveraging in-memory computing, users can significantly reduce the time it takes to retrieve and analyze data, enabling them to make faster, data-driven decisions. Key features of the GridGain platform include distributed in-memory storage, advanced data processing capabilities, and seamless integration with existing data sources and applications. The platform supports SQL queries, key-value access, and various data processing frameworks, allowing users to work with data in the format that best suits their needs. Additionally, GridGain provides built-in support for machine learning and streaming analytics, empowering organizations to harness the full potential of their data in real-time. One of the primary benefits of using GridGain is its ability to enhance application performance by reducing latency and increasing throughput. By storing data in-memory rather than on traditional disk storage, GridGain enables faster data access and processing, which is crucial for applications that require immediate insights. Furthermore, the platform's scalability allows organizations to expand their computing resources as needed, ensuring that they can handle growing data volumes without compromising performance. GridGain stands out in the in-memory computing market due to its robust architecture, flexibility, and comprehensive support for various data processing needs. With a proven track record of success among major clients and numerous industry awards, GridGain continues to lead the way in addressing the challenges of Fast Data and helping organizations unlock the full potential of their data assets.

Average Rating: 4.6/5.0

Total Reviews: 15

How Do G2 Users Rate GridGain?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 8.9/10)
  • Data Sources: 9.6/10 (Category avg: 8.6/10)
  • Data Processing: 10.0/10 (Category avg: 8.8/10)
  • Real-Time Processing: 10.0/10 (Category avg: 9.1/10)

Who Is the Company Behind GridGain?

  • Seller: GridGain Systems, Inc.
  • Year Founded: 2007
  • HQ Location: Foster City, California
  • Twitter: @gridgain
    5,510 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    86 employees on LinkedIn®

Who Uses This Product?

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

What Do G2 Reviewers Say About GridGain?

AI-generated summary from verified user reviews

Pros
  • Users commend GridGain for its fast communication, enabling real-time data access and significantly enhancing application performance.
  • Users admire the real-time analytics of GridGain, enabling rapid data access and transformative performance enhancements.
  • Users value the real-time processing of GridGain, enhancing speed and efficiency in handling large-scale data tasks.
  • Users admire the robust scalability of GridGain, enhancing performance for real-time, large-scale data processing.
  • Users find GridGain to have exceptional ease of use, simplifying application management and enhancing data accessibility dramatically.
Cons
  • Users face a steep learning curve with GridGain, requiring substantial technical expertise and clearer documentation for ease of use.
  • Users experience a steep learning curve with GridGain, finding its complexity challenging for newcomers to distributed systems.
  • Users find the complex implementation of GridGain challenging due to its steep learning curve and technical expertise requirements.
  • Users find the difficult setup of GridGain to be a significant barrier, especially for those new to distributed systems.
  • Users find GridGain to be expensive, especially with many advanced features locked behind paywalls.

What Are Recent G2 Reviews of GridGain?

Kpow for Apache Kafka

Kpow is a sophisticated enterprise Kafka management tool designed to enhance the experience of engineering teams by providing a comprehensive solution for managing, monitoring, exploring, and securing Kafka environments. This JVM-based web application serves as an all-in-one console, empowering Kafka engineers with the capabilities they need to streamline their operations and improve productivity. Targeted primarily at engineering teams working with Kafka, Kpow addresses the complexities of managing multiple Kafka clusters, schema registries, and connection installations. With Kpow, users can efficiently monitor and control their Kafka resources from a single interface, simplifying the management process and reducing the time spent on routine tasks. The tool is particularly beneficial for organizations that rely heavily on Kafka for data streaming and processing, as it provides essential functionalities that enhance observability and operational efficiency. One of the standout features of Kpow is its real-time monitoring and visualization capabilities. Users can quickly identify unbalanced brokers and gain insights into how data is distributed across their Kafka Streams topologies. This level of visibility is crucial for diagnosing production issues and optimizing performance. Kpow's advanced search functionalities, including Data Inspect, Streaming Search, and kREPL, enable users to search through vast amounts of messages at remarkable speeds, allowing for rapid troubleshooting and data analysis. Kpow also prioritizes security and access control, making it suitable for enterprise environments. It integrates seamlessly with standard authentication providers and offers role-based access controls, ensuring that user actions can be finely tuned to meet organizational security requirements. Additional security features, such as data masking and audit logs, further enhance the tool's capability to operate in sensitive environments, including air-gapped installations. Installation of Kpow is straightforward, requiring only a single Docker container or JAR file, which operates efficiently with minimal resource requirements of 1GB memory and 1 CPU for production use. This ease of deployment, combined with its powerful features, positions Kpow as a valuable asset for organizations looking to maximize their Kafka infrastructure while maintaining robust security and operational control.

Average Rating: 4.9/5.0

Total Reviews: 4

How Do G2 Users Rate Kpow for Apache Kafka?

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

Who Is the Company Behind Kpow for Apache Kafka?

  • Seller: Factor House
  • Year Founded: 2019
  • HQ Location: Melbourne, AU
  • Twitter: @factorhousehq
    125 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 25% Large

What Do G2 Reviewers Say About Kpow for Apache Kafka?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the affordability of Kpow for Apache Kafka, praising its fair pricing and value.
  • Users appreciate the easy setup of Kpow for Apache Kafka, praising its user-friendly interface and schema support.
  • Users appreciate the clean UI of Kpow for Apache Kafka, enhancing their overall experience and usability.
Cons
  • Users experience data management issues in Kpow, particularly with null fields in topic data inspection lacking deserializers.

What Are Recent G2 Reviews of Kpow for Apache Kafka?

What Are G2 Users Discussing About Kpow for Apache Kafka?

Hazelcast Platform

Hazelcast Platform is the Live Data Platform that delivers data at the speed of relevance, providing the in‑memory foundation for applications that act on data the instant it's created—ensuring businesses never miss a moment of opportunity. By converging distributed caching, compute, stream processing, and real‑time AI into one low‑latency runtime, Hazelcast delivers sub‑millisecond performance, linear scalability, and enterprise resilience. Global 2000 firms trust Hazelcast to simplify architectures, reduce costs, and power mission‑critical, time‑sensitive applications.

Average Rating: 4.3/5.0

Total Reviews: 12

How Do G2 Users Rate Hazelcast Platform?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • Data Sources: 8.3/10 (Category avg: 8.6/10)
  • Data Processing: 9.2/10 (Category avg: 8.8/10)
  • Real-Time Processing: 10.0/10 (Category avg: 9.1/10)

Who Is the Company Behind Hazelcast Platform?

  • Seller: Hazelcast
  • Year Founded: 2010
  • HQ Location: Palo Alto, US
  • Twitter: @hazelcast
    9,354 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    148 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 54% Small, 23% Medium

What Do G2 Reviewers Say About Hazelcast Platform?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Hazelcast Platform, noting its speed and minimal memory requirements.
  • Users appreciate the fast processing of Hazelcast Platform, noting its efficiency in resolving distributed systems challenges.
  • Users appreciate the flexibility of Hazelcast Platform, finding it fast and efficient for distributed systems challenges.
  • Users appreciate the fast performance of Hazelcast Platform, effectively solving issues in distributed systems with minimal memory usage.
  • Users appreciate the fast performance and low memory usage of Hazelcast Platform, which simplifies distributed system management.
Cons
  • Users find the learning curve to be steep, requiring extra time to navigate and understand the platform effectively.
  • Users note the navigation difficulty in Hazelcast Platform, requiring extra time to find features effectively.
  • Users find Hazelcast Platform not user-friendly, requiring extra time to navigate and locate features efficiently.
  • Users find the poor UI of Hazelcast Platform makes navigation and coordination frustrating and time-consuming.
  • Users find the time-consuming nature of locating and coordinating resources in Hazelcast to be a drawback.

What Are Recent G2 Reviews of Hazelcast Platform?

What Are G2 Users Discussing About Hazelcast Platform?

Proficy Historian

Proficy Historian is industrial software used to collect, archive, and analyze time-series data from production equipment, sensors, and control systems in manufacturing and utility environments. Engineered for high-speed, high-volume data environments, Proficy Historian enables organizations to capture and store process and production data efficiently and cost-effectively. It supports time-stamped data collection from a wide range of industrial devices and automation systems using standard protocols such as OPC UA, MQTT, and traditional data interfaces. Operations teams, engineers, analysts, and IT professionals use Proficy Historian to improve process visibility, troubleshoot equipment issues, and support data-driven decision-making. The software plays a central role in performance monitoring, quality analysis, and regulatory compliance by enabling long-term access to historical data and seamless integration with reporting and analytics tools. Proficy Historian is designed for deployment flexibility. It can be installed on-premise at a facility, deployed at the edge to support localized data capture and buffering, or integrated into a hybrid or cloud architecture to support enterprise-wide analytics and central data aggregation. This flexibility allows industrial organizations to adapt to modern data strategies while maintaining continuity with existing infrastructure. Key capabilities include: • High-performance compression and storage of time-series industrial data to reduce infrastructure load • Support for distributed, edge, and cloud-connected architectures to align with evolving data strategies • Secure, scalable data collection from multiple sources across plants, lines, or remote assets • Integration with visualization and analysis tools, including Excel plug-ins and analytics platforms • Redundancy, filtering, and data quality features to ensure consistent, reliable data access Proficy Historian is used across industries such as power generation, food and beverage, chemicals, oil and gas, and water/wastewater. It provides a reliable foundation for industrial data management strategies, enabling manufacturers and utilities to gain insight into operations, optimize performance, and meet compliance and reporting requirements over time.

Average Rating: 3.7/5.0

Total Reviews: 3

How Do G2 Users Rate Proficy Historian?

  • Data Sources: 5.0/10 (Category avg: 8.6/10)
  • Data Processing: 5.0/10 (Category avg: 8.8/10)
  • Real-Time Processing: 8.3/10 (Category avg: 9.1/10)

Who Is the Company Behind Proficy Historian?

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Do G2 Reviewers Say About Proficy Historian?

AI-generated summary from verified user reviews

Pros
  • Users value the efficiency of Proficy Historian, benefiting from reduced storage needs for industrial data management.
  • Users appreciate the efficient data compression of Proficy Historian, crucial for optimizing storage and monitoring equipment performance.
  • Users value the data compression capabilities of Proficy Historian, enabling efficient storage of industrial time-series data.
  • Users value the performance efficiency of Proficy Historian, benefiting from significant storage space savings for industrial data.
Cons
  • Users find the retrieval system awkward and sluggish, leading to annoying lags when accessing critical data.
  • Users experience slow performance with Proficy Historian, leading to frustrating delays when accessing data for analysis.

What Are Recent G2 Reviews of Proficy Historian?

What Are G2 Users Discussing About Proficy Historian?

SnappyData

SnappyData fuses Apache Spark with an in-memory database to deliver a data engine capable of stream processing, transactions and interactive analytics in a single cluster.

Average Rating: 4.8/5.0

Total Reviews: 3

How Do G2 Users Rate SnappyData?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • Data Sources: 8.3/10 (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 SnappyData?

Who Uses This Product?

  • Company Size: 33% Large, 33% Medium

What Are Recent G2 Reviews of SnappyData?

What Are G2 Users Discussing About SnappyData?

Solace Platform

Solace Platform is an event-driven integration and streaming platform. Solace helps enterprises connect and integrate anything, anywhere, reliably and in real-time, through the power of event-driven architecture. With the Solace Platform, a next-generation event-driven integration and streaming platform, the company provides a comprehensive way for organizations to stream, integrate and govern events from where they are produced to where they need to be consumed - securely, reliably and quickly. Established enterprises worldwide trust Solace to modernize their application and integration landscape; enable time-sensitive applications and processes at scale; and create seamless digital experiences for their customers, partners and employees. The Solace Platform lets organizations build and enable time-sensitive apps and business processes at scale, simplify and modernize your application and integration landscape, and create seamless digital experiences for customers, partners and employees.

Average Rating: 4.4/5.0

Total Reviews: 6

How Do G2 Users Rate Solace Platform?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)
  • Data Sources: 8.3/10 (Category avg: 8.6/10)
  • Real-Time Processing: 10.0/10 (Category avg: 9.1/10)

Who Is the Company Behind Solace Platform?

  • Seller: Solace
  • Year Founded: 2001
  • HQ Location: Kanata, CA
  • Twitter: @solacedotcom
    6,188 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    669 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 71% Large, 14% Medium

What Do G2 Reviewers Say About Solace Platform?

AI-generated summary from verified user reviews

Pros
  • Users praise the responsive and knowledgeable customer support of Solace Platform, ensuring quick resolution of issues anytime.
  • Users value the flexibility of Solace Platform, enabling seamless integration with various systems for event-driven applications.
  • Users commend the scalability and high performance of Solace Platform, ideal for large-scale event-driven applications.
  • Users appreciate the scalability of Solace Platform, effectively managing high volumes for large-scale applications.
  • Users appreciate the user-friendly interface of Solace Platform, which simplifies designing, deploying, and monitoring applications.
Cons
  • Users find the complexity of the Solace Platform challenging, especially during the initial learning phase and high-volume processing.
  • Users find the difficult learning curve of Solace Platform challenging, especially with its complex advanced features.
  • Users report messaging issues due to slow transmission and difficulties with high-volume event processing on the Solace Platform.
  • Users find the initial learning curve of Solace Platform steep, complicating understanding and implementation of advanced features.
  • Users experience slow processing issues, particularly with large messaging sizes and high-volume data ingestion.

What Are Recent G2 Reviews of Solace Platform?

What Are G2 Users Discussing About Solace Platform?

Streamkap

Streamkap is a change data capture platform for syncing data in real-time from databases to a number of destinations including data warehouses, data lakes and real-time destinations.

Average Rating: 5.0/5.0

Total Reviews: 4

How Do G2 Users Rate Streamkap?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)
  • Data Sources: 10.0/10 (Category avg: 8.6/10)
  • Data Processing: 10.0/10 (Category avg: 8.8/10)
  • Real-Time Processing: 10.0/10 (Category avg: 9.1/10)

Who Is the Company Behind Streamkap?

  • Seller: Streamkap, Inc
  • Year Founded: 2022
  • HQ Location: San Francisco, US
  • Twitter: @Streamkap
    96 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Streamkap?

Volt Active Data

The Volt Active Data Platform enables companies to unlock the full value of their data and applications by making it possible to have scale without compromising on speed, accuracy, or consistency. Based on a simplified stack and an ingest-to-action layer that can perform sub 10-millisecond decisioning, Volt’s unique, no-compromises foundation gives enterprises the ability to maximize the ROI of their 5G, IoT, AI/ML, and other investments, ensure “five 9’s” uptime, prevent fraud and intrusion, deliver hyper-personalized customer engagement, and save on operational costs.

Average Rating: 4.3/5.0

Total Reviews: 6

How Do G2 Users Rate Volt Active Data?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 8.9/10)

Who Is the Company Behind Volt Active Data?

  • Seller: Volt Active Data
  • Year Founded: 2009
  • HQ Location: Bedford, US
  • Twitter: @VoltActiveData
    5,175 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    53 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 33% Large, 33% Medium

What Are Recent G2 Reviews of Volt Active Data?

What Are G2 Users Discussing About Volt Active Data?

Aiven for Apache Flink

A fully managed streaming SQL engine based on Apache Flink, for all your event-driven applications and streaming analytics needs.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate Aiven for Apache Flink?

  • Data Sources: 8.3/10 (Category avg: 8.6/10)
  • Data Processing: 8.3/10 (Category avg: 8.8/10)
  • Real-Time Processing: 10.0/10 (Category avg: 9.1/10)

Who Is the Company Behind Aiven for Apache Flink?

  • 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?

  • Company Size: 100% Large

What Do G2 Reviewers Say About Aiven for Apache Flink?

AI-generated summary from verified user reviews

Pros
  • Users value the flexibility of cloud provider options with Aiven for Apache Flink, enhancing their deployment choices.
Cons
  • Users face dependency issues with Aiven for Apache Flink, finding it challenging to adapt applications to the infrastructure.

What Are Recent G2 Reviews of Aiven for Apache Flink?

Alloy Flow

Alloy Flow is a no-code/low-code integration platform that lets you build automated workflows between apps using a drag-and-drop interface. It handles authentication, field mapping, and data orchestration behind the scenes, offering pre-built connectors, templates, and secure execution for event-triggered, scheduled, or manual processes—ideal for streamlining business operations without coding.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind Alloy Flow?

  • Seller: Alloy
  • Year Founded: 2019
  • HQ Location: New York, NY
  • LinkedIn® Page: www.linkedin.com
    30 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Alloy Flow?

Crosser

Crosser designs and develops a hybrid-first Streaming Analytics & Integration software for any Cloud, On-premise or Edge. The Crosser Platform enables real-time processing of streaming, event-driven or batch data for Intelligent Pipelines & Automations and for Industrial IoT. All managed from a single Control Center and powered by a low-code and low-effort experience.

Average Rating: 4.5/5.0

Total Reviews: 2

Who Is the Company Behind Crosser?

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of Crosser?

DeltaStream

DeltaStream is a unified serverless stream processing platform that integrates with streaming storage services - it acts as the compute layer on top of your streaming storage. It provides functionalities of streaming analytics (stream processing) and streaming databases along with additional features to provide a complete platform to manage, process, secure and share streaming data. DeltaStream provides a SQL based interface where you can easily create stream processing applications such as streaming pipelines, materialized views, microservices and many more. It has a pluggable processing engine and currently uses Apache Flink as its primary stream processing engine. DeltaStream brings relational database concepts to the data streaming world, including namespacing and role based access control enabling you to securely access, process and share your streaming data regardless of where they are stored.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate DeltaStream?

  • Data Sources: 6.7/10 (Category avg: 8.6/10)
  • Data Processing: 10.0/10 (Category avg: 8.8/10)
  • Real-Time Processing: 10.0/10 (Category avg: 9.1/10)

Who Is the Company Behind DeltaStream?

  • Seller: DeltaStream
  • Year Founded: 2023
  • HQ Location: Menlo Park, US
  • Twitter: @DeltaStreamInc
    329 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    17 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of DeltaStream?

Pandio

Pandio is a software management company offering Apache Pulsar as a Service, we provide companies around the world with a durable and scalable distributed messaging service that is secure, future-proof, and fully managed by a highly experienced team. Pandio combines Queues, Streams, and PubSub into one powerful service build on Apache Pulsar.

Average Rating: 3.0/5.0

Total Reviews: 1

How Do G2 Users Rate Pandio?

  • Data Sources: 8.3/10 (Category avg: 8.6/10)
  • Data Processing: 8.3/10 (Category avg: 8.8/10)
  • Real-Time Processing: 10.0/10 (Category avg: 9.1/10)

Who Is the Company Behind Pandio?

Who Uses This Product?

  • Company Size: 100% Large
Bijou Barry
BB
Researched and written by Bijou Barry
Updated October 3, 2024