Maximize Software Engineering Efficiency with a Data Streaming Backbone
84% of leaders report a 2-10x return on investment
and infrastructure cost savings of up to 60%.
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What ROI can you expect from Data Streaming Investments?
84%...
of IT leaders report returns between 2x and 10x on investments, with 41% achieving an ROI of 5x or more.
90%...
of leaders leverage data streaming to power advancements in AI and machine learning.
91%...
are using data streaming platforms to accelerate their strategic data objectives.
Cost Improvements Unlocked:
- Sharing data has notoriously been done via APIs, enforcing contracts and allowing for self-service, at best scenarios.
- While this works, data streaming brings it to a new level, by data flowing proactively towards other systems without noisy neighbors and automatic backpressure handling. When incidents happen every system will stay safe, and downstream systems will catch up at their own pace.
- No need for aggressive pre-scaling—avoid underutilised hardware running at 5-10% average load.
Ditch inefficient batch processing—handle messages individually with safe exception handling.
- Scale processing capacity up or down instantly, without the complexity of manual machine scaling.
- Store old data cost-effectively in S3/GCS while keeping hot data on disks for fast access.
- Customise message durability and retention with flexible strategies.
- Reuse streaming data without duplication, unlike traditional queuing.
- Cut debugging time by tackling issues at the message level instead of large batch failures.
Engineering Benefits Unlocked:
- With systems like Kafka and Pub/Sub, efficient backpressure handling and horizontal scaling unlock new levels of scalability when combined with well-designed data flows.
- Ensure your system can withstand peak loads and unexpected surges without prolonged downtime or widespread failures.
- Guarantee message acknowledgements at every stage—no data loss. Errors may occur, but they will always be tracked.
- Build compliance and data privacy into the foundation of your architecture.
- Rewind and reprocess historical data to validate computations while preventing cascading failures.
- Eliminate complex database migrations and manual data fixes when bugs arise—leverage a resilient architecture to handle the heavy lifting.
- Isolate and self-serve data for new initiatives, enabling safe production testing while minimising development bottlenecks.
- Gain full visibility into every data point’s journey, enriched with customer and diagnostic context, making it readily accessible for support and engineering teams.
- Reduce reliance on high-privilege access—empower support teams to troubleshoot effectively.
- Track costs at a granular level across teams and features, enabling data-driven decisions on whether to maintain or retire functionality without guesswork.
Go from Zero to Hero with Evoura...
At Evoura, we guide businesses through every phase of their data transformation journey—from foundational steps to enterprise-wide implementations. Our expert Data Streaming Platform (DSP) teams deliver tailored strategies to maximize efficiency and impact.
EDA
Transitioning to an Event-Driven Architecture (EDA) is key to scaling systems. Without a structured approach, this often leads to dozens or hundreds of siloed queues, creating complexity and fragmentation. A well-planned EDA ensures new use cases are developed faster with strong standards.
Our approach evolves towards EDA while maintaining seamless connectivity between old and new systems. By leveraging anti-corruption layers, we ensure system backpressure and data consistency are managed from the ground up.
Enhancing Customer Experience
Access to critical data is essential for improving customer care, yet many organisations struggle to provide it effectively.
By enabling real-time, self-service streaming data, even “non-critical” systems gain deeper insights, offering up-to-date visibility into outages, issues, contracts, and other key factors that enrich the customer experience.
Develop & Integrate New Technologies
Innovations like Agentic/RAG AI, in-product analytics, and text search often require costly, slow vertical implementations—70% of the challenge stems from fragmented ETLs recreated per application.
Data streaming eliminates ETL duplication, enabling reusable logic and data processing as structured, safe steps—free from noisy neighbours and ownership conflicts.
Existing & Legacy Systems
Evolution, not revolution; leverage production-grade technologies like Change Data Capture to integrate legacy systems safely while adding new capabilities.
Contrary to common belief, raw data (bronze) can provide immediate value while refining structure over time. Our approach balances extracting insights early with ongoing data improvements.
Expertise that Delivers Immediate Value
Maximising
ROI
Maximising ROI
We prioritize your return on investment. Unlike others, we won’t push you toward overly complex setups or demand full data normalization before you can start reaping the benefits.
Practical
Integration
Practical Integration
Our team’s field knowledge ensures seamless integration with your current stack or legacy applications using techniques like Change Data Capture and the Strangler Fig Pattern.
Incremental
Transformation
Incremental Transformation
Transformation doesn’t happen overnight. We ensure you gain value at every step of the journey by employing Anti-Corruption Layer patterns and designing new events and features aligned with your desired future state.
Pragmatic
Architecture
Pragmatic
Architecture
Whilst following the latest Event-Driven Architecture trends, we take a pragmatic approach to ensure solutions are cost-efficient and effective.
Cost Conscious Solutions
We craft solutions with cost efficiency at the forefront:
Data Tailored Techniques:
Leverage data retention, message design and auto-scaling techniques tailored to your use cases.
Workflow Optimization:
We provide recommendations on storage and data shaping to optimize ongoing workflows.
Cost-effective Streaming:
Write efficient stream processing logic to reduce operational costs while enhancing your products and services.
When to Invest?
The time to invest in data streaming is now. The report shows a clear trend of increasing investments and adoption:
51% of IT leaders cite data streaming as a top strategic priority for IT investments in 2024, up from 44% in 2023.
68% expect the use of this technology to continue growing over the next two years.
74% say investments in Generative AI will trend up, which relies heavily on real-time data streaming.
The competitive advantage of streaming is now. In 5 years, streaming will become a default program for most businesses. Early adopters are already reaping the huge rewards of today's innovation. This is where we fast-track your business.
Generative AI Made Easy
Generative AI systems thrive on real-time data streaming. At Evoura, we simplify the process by ensuring your Data Streaming Platform (DSP) becomes the backbone of your AI systems.
Streamlined Data Access:
No need to request data from other teams. Simply adopt the DSP contract and attach a new data consumer.
Effortless State Management:
Maintain chat windows and states across messages without building components from scratch. With DSP in place, your team can focus on delivering business value rather than building and managing infrastructure. Data streaming supports the high data volume and low latency demands of Generative AI systems, enabling large-scale, concurrent operations.
Seamless Integrations:
Easily integrate with VectorDBs using proven technologies like Apache Flink, Kafka Connect, and RedPanda Connectors.
Avoiding Gen AI Pitfalls
The biggest challenge with Generative AI is knowing where to start. While many models promise value, they often lead to disappointing results without careful implementation. Evoura provides guidance to identify high-impact use cases that offer immediate value with minimal friction in terms of cost, technical complexity or organizational adoption.
Download Our Use Case Studies
Explore our use case studies to see how our innovative solutions solve real-world challenges with cutting-edge technology.
How WE work
Ready made data for Generative AI
At Evoura, we specialise in curating and delivering the optimal dataset to train your generative AI models. Understanding the nuances and intricacies of AI, we recognize that the foundation of a robust generative model lies in the quality and diversity of its training data. Leveraging our extensive network and expertise, we source, preprocess, and tailor datasets to align precisely with your AI objectives. Our consultative approach ensures your models have the best possible foundation, enabling them to generate richer, more accurate outputs. Partner with us and give your AI the edge it deserves.
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