How HyperSales Improved Data Processing Speed by 50% with AWS MSK?
Context
DoVie Studio
Discover how HyperSales, a B2B sales data platform handling over 500,000 company records, dramatically improved its data processing capabilities.
"We quickly realized that self-managing AWS alone wasn't enough"
Data updates used to finish only in the middle of the night. Processing over 500,000 company records was no simple task. How did HyperSales solve this challenge? 🤔
Name DoVie Studio
Area B2B Sales Data Platform
Estab. Seb, 2023
It All Started with Hitting Our Limits
Q. What is DoVie Studio’s ‘HyperSales’ service? 📊
A. HyperSales is an advanced data platform designed for B2B sales teams. We currently analyze over 500,000 company records to help sales teams efficiently discover and approach potential customers. We provide high-quality information including revenue, employee count, competitor product usage, and investment stages.
Q. What challenges were you facing? 💭
A. We hit limitations with our existing infrastructure as our data processing volume increased rapidly. Some data required daily updates, while other datasets demanded periodic management, and all these operations had to be completed during pre-dawn hours when users weren't active. While we were using AWS, we lacked expertise, and the time difference with AWS made it particularly challenging to receive technical support.
Q. What led to your decision to implement AWS MSK? 💭
A. While DoVie Studio had been utilizing AWS since its early days, we faced new challenges as our data processing volume grew. HyperSales specifically needed to handle both daily updates and periodic data management, which had to be completed during pre-dawn hours to minimize user impact.
The support and experience were so positive that I would definitely choose SmileShark again if I were to start another company.
- Jinwoo Do, DoVie CEO
The Turning Point: Meeting SmileShark
Q. How did you discover SmileShark? 🤝
A. Initially, we only considered self-managing AWS. Coincidentally, we received a cold email from SmileShark just as we were actively seeking an MSP partner. We were evaluating AWS MSK and needed specialized technical support.
Q. What specifically made you choose SmileShark? 🎯
A. SmileShark's architects provided close support as if they were members of the DoVie Studio team. I was impressed by their multi-faceted analysis, utilizing multiple technology stacks rather than relying on a single perspective. Beyond simple technical support, they deeply understood the domain characteristics of HyperSales and proposed an optimized solution. Thanks to this collaboration we were able to successfully implement AWS MSK
Revolutionary Improvements in Data Processing
Q. What changes did you see after implementing AWS MSK?📈
A. The changes were immediate. After implementing MSK, our data update speed improved by 50%, and we secured system stability and scalability. We gained the capability to perform stable batch processing during off-peak hours when large-scale data processing is needed, and gained operational flexibility through easier cluster scaling. Moreover, appropriate architecture choices and CloudFront implementation helped us reduce infrastructure operating costs by 30%.
Key Improvements:
50% increase in MSK data update speed
30% reduction in infrastructure operating costs through CloudFront
Enhanced system stability and scalability
Furthermore, their proactive AWS monitoring and timely support made them feel like a reliable team member. In the past, addressing and resolving AWS issues was challenging, but these problem were resolved after meeting SmileShark.
Q. Any advice for companies considering SmileShark? 🎤
A. I strongly recommend SmileShark to startups, especially those just beginning. The experience was so satisfactory that I would definitely want to work with SmileShark again if I were to start another company. I confidently recommend them to any company using cloud infrastructure.
DoVie Studio's Future Plans: Looking Toward AI
Q. What are your future plans?🌟
A. Having recently completed our Pre-A investment round, we're preparing for our next leap. We plan to develop automated lead discovery solutions using our well-established data. These features will enable our customers to automatically receive recommendations for high-conversion-potential leads based on their sales performance or instantly locate desired lead lists through natural language searches.
While we've focused primarily on AWS services for data pipelining so far, we're planning to actively adopt AWS services in AI/ML/LLM areas moving forward. We intend to leverage services such as AWS Bedrock and SageMaker.
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