Top Real-Time Data Streaming Companies
Also known as: Kafka, Apache Flink
8 agencies foundUpdated Apr 2026
Innowise
VerifiedFull-cycle software development delivering custom digital solutions with 18+ years of global IT expertise
4.8(5)
4.8
5 reviews
St. Petersburg, Florida1001-50002007
Innowise is an international full-cycle software development company founded in 2007. Over the past 19+ years, the firm has grown into a multinational operation with 3,500+ professionals spanning offices across Europe, North America, and Asia. The company specializes in helping businesses build and scale digital products, modernize legacy systems, and adopt advanced technologies such as AI, blockchain, IoT, and AR/VR. With more than 1,600 custom software solutions delivered to clients in over 40 industries, Innowise has established itself as a dependable partner for organizations ranging from startups to large enterprises. The company operates on a full-cycle development model, covering every stage from initial consulting and business analysis through UX/UI design, engineering, quality assurance, deployment, and ongoing support. Its technical teams work across a broad technology stack including JavaScript frameworks, native and cross-platform mobile development, cloud platforms like AWS, Azure, and GCP, and enterprise systems such as SAP, Salesforce, and Microsoft Dynamics 365. Innowise also maintains dedicated practices in machine learning, big data analytics, robotic process automation, and metaverse development. Innowise has earned notable industry recognition, including placement on the Inc. 5000 list of fastest-growing U.S. companies and consecutive appearances on the IAOP Global Outsourcing 100 from 2022 through 2025. The company holds ISO 13485 certification for medical device software development. With a reported 93% client return rate, the firm emphasizes long-term partnership and consistent delivery quality. Innowise offers flexible engagement models including dedicated development teams, IT staff augmentation, and project-based outsourcing, enabling clients to scale technical capacity on demand.
“I was impressed by how good the code quality was right from the beginning. Their frequency and style of communication were to the point and never more than needed.”
— CEO, Zero Beta
UX/UI DesignArtificial IntelligenceMobile App DesignCustom Software DevelopmentTelecommunicationsEcommerce & DTCLogistics & Supply ChainPortfolio ProRising StarTop Rated
$50 - $99/hrMin. $10,000
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$50 - $99/hrMin. $10,000
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Frequently Asked Questions About Real-Time Data Streaming
What is Real-Time Data Streaming and how does Kafka work?
Real-time data streaming is the continuous processing and analysis of data as it's generated, using distributed platforms like Apache Kafka to handle high-volume event streams. Kafka acts as a fault-tolerant message broker that can process millions of records per second, enabling applications to react instantly to data changes. Professional streaming services design custom architectures that ensure data integrity and low-latency processing for mission-critical business applications.
How much does Real-Time Data Streaming implementation cost?
Real-time data streaming projects typically range from $50,000 to $500,000+ depending on data volume, complexity, and infrastructure requirements. Factors affecting cost include the number of data sources, required processing power, security compliance needs, and ongoing support. Most professional service providers offer scalable solutions that grow with your data needs and provide transparent pricing based on throughput requirements.
What should I look for in a Real-Time Data Streaming provider?
Look for agencies with proven expertise in Apache Kafka, Flink, and other streaming technologies, plus experience with your industry's specific data challenges. The best providers offer end-to-end services from architecture design to ongoing support, with strong security practices and scalability planning. Evaluate their track record with similar data volumes and their ability to integrate with your existing systems and analytics platforms.
