Data is a critical component of your business success. It is valuable and must be collected and centralized. However, to fully exploit it, it is essential to have the right tools. Confluent addresses this need and helps you achieve your goals. This truly cloud-native platform complements Apache Kafka in a very meaningful way. Deployable in minutes, without servers, it offers over 120 connectors, stream processing capabilities, security and enterprise governance features. With Confluent, you can connect your entire data ecosystem, whether it’s in one or more clouds and even on-premises. By using Confluent, you have the ability to drive innovation and stay competitive in a new digital age. By harnessing data, you improve business efficiency and are able to build a customer-centric business. Designed for a business in motion, Confluent helps you modernize your infrastructure, regardless of your industry. Messaging modernization, 360-degree customer experience, event-driven microservices, fraud detection, and SIEM optimization are just a few of the use cases for this platform. Leading companies use Confluent on a daily basis to address their specific issues. For example, with this platform:- Michelin manages its inventory in real time and on a large scale; - 10x Banking built a core banking platform; - RBC has split large applications into agile units; - Instacart built availability models during the pandemic; - ETC was able to optimize its infrastructure and operational costs.. The Confluent data platform has thus enabled many companies to improve their processes, optimize their activities and increase their performance.
Features
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Ensure data reliability with Confluent Replicator
Confluent Replicator is a distributed data replication tool that ensures data is reliably and securely replicated across different environments. With Confluent Replicator, you can easily replicate data between different data centers, cloud providers, or regions, and ensure that your business is always up and running.
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Accurately route your data
With a streaming data pipeline, develop products or services agilely with an uninterrupted flow of information. Enable your teams to use consistent data and exploit its full potential to achieve your goals.
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Take full advantage of Apache Kafka
Leverage the potential of Apache Kafka through the Confluent cloud-native platform. With 120 connectors, stream processing, security, data governance, and global availability for all data in motion, maximize performance.
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Simplify your data architecture with Schema Registry
Confluent's Schema Registry allows you to define and manage schemas for your data in a central location. This makes it easier to share data across different systems and applications, and ensures that all data is consistent and up to date.
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Take advantage of Confluent’s partner network
With Confluent’s partner network, your organization can innovate and solve its most critical delivery challenges. Cloud partners, technology partners, and systems integrators accelerate your real-time data delivery journey.
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Create value in real time
Confluent has a wide range of use cases. Assemble data to design connected customer experiences, analyze and detect fraud efficiently and quickly, or create scalable, resilient, context-sensitive microservices.
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Build real-time applications with KSQL
KSQL is Confluent's SQL-like streaming engine that allows you to build real-time applications without writing code. With KSQL, you can query your streaming data, transform it, and generate alerts or reports in real time.
Pricing
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Enterprise
$1,650 / / month
- Private networking- Maximum autoscaling capacity
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Basic
Free
- Serverless, fully managed clusters with zero ops- Autoscaling Kafka resources- 80+ fully managed connectors- Multicloud across AWS, Azure, and GCP
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Standard
$550 / / month
- High availability with 99.99% uptime SLA- Infinite storage- Audit logs to detect security threats and anomalies
Pros and cons
Pros
- Knowledge base: Tutorials and knowledge base are qualitative
- Data preservation: Data replication enables easy disaster recovery
- Data volume: The online solution can handle a large volume of data
Cons
- Some slowness: The user interface can slow down when multiple environments and clusters are supported
- Software integrations: Integrations with third-party platforms could be more extensive
- Complex tools: Some products like Confluent Kafka can be difficult to understand