Top 10 Svix Alternatives & Competitors

Top 10 Alternatives to Svix Recently Reviewed By G2 Community

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MuleSoft Anypoint Platform
By Salesforce
4.5/5
(731)
Product Description
Anypoint Platform™ is a complete platform that lets companies realize business transformation through API-led connectivity. It is is a unified, flexible integration platform that solves the most challenging connectivity problems across SOA, SaaS and APIs.
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Reviewers say compared to Svix, MuleSoft Anypoint Platform is:
Slower to reach roi
More expensive
Categories in common with Svix:
Enterprise Service Bus (ESB)
Message Queue (MQ)

SAS Viya
By SAS Institute Inc.
4.3/5
(788)
Product Description
As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.
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Reviewers say compared to Svix, SAS Viya is:
Slower to reach roi
Categories in common with Svix:
Event Stream Processing

SAP Integration Suite
By SAP
4.3/5
(321)
Product Description
SAP Integration Suite powers applications that deliver real-time insights to drive more effective and timely decision making. Dramatically accelerate analytics, business processes, sentiment data processing, and predictive capabilities to run your business in real-time.
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Reviewers say compared to Svix, SAP Integration Suite is:
Slower to reach roi
More expensive
Categories in common with Svix:
Message Queue (MQ)

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IBM App Connect
By IBM
4.4/5
(258)
Product Description
IBM App Connect is a multi-tenant, cloud-based platform for rapidly integrating cloud applications, on-premises applications and enterprise systems in a hybrid environment using a “configuration, not coding” approach.
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Reviewers say compared to Svix, IBM App Connect is:
Slower to reach roi
Categories in common with Svix:
Enterprise Service Bus (ESB)

Aiven for Apache Kafka
By Aiven
4.3/5
(250)
Product Description
Aiven for Apache Kafka is a fully managed streaming platform, deployable in the cloud of your choice. Snap it into your existing workflows with the click of a button, automate away the mundane tasks, and focus on building your core apps.
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Reviewers say compared to Svix, Aiven for Apache Kafka is:
Slower to reach roi
Categories in common with Svix:
Event Stream Processing

TIBCO Integration (featuring Business Works and Flogo)
By Cloud Software Group
4.2/5
(200)
Product Description
Connect all your applications and data quickly and easily, whether you are a business application owner, integration specialist or developer.
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Reviewers say compared to Svix, TIBCO Integration (featuring Business Works and Flogo) is:
Slower to reach roi
Categories in common with Svix:
Enterprise Service Bus (ESB)

IBM MQ
By IBM
4.3/5
(174)
Product Description
IBM® MQ, formerly WebSphere MQ, is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms. It uses message queues to exchange information and offers a single messaging solution for cloud, on premise, mobile and IoT environments. By connecting virtually everything, from a simple pair of applications to the most complex business environments, it improves responsiveness, controls costs, reduces risk and provides real-time insight from data. It is available in a standard edition, an advanced edition, as an appliance and in a z/OS version.
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Reviewers say compared to Svix, IBM MQ is:
Slower to reach roi
More expensive
Categories in common with Svix:
Message Queue (MQ)

Tray.ai
By Tray.io
4.5/5
(158)
Product Description
The Tray Platform empowers anyone to do more, faster by harnessing automation with the leading, low-code general automation platform.
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Reviewers say compared to Svix, Tray.ai is:
Slower to reach roi
More expensive
Categories in common with Svix:
Event Stream Processing

Apache Kafka
By The Apache Software Foundation
4.5/5
(131)
Product Description
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.
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Categories in common with Svix:
Event Stream Processing
Message Queue (MQ)