Customer Stories

BigData Boutique helped Yotpo seamlessly migrate a mission-critical 50 TB Elasticsearch cluster from EKS to Amazon OpenSearch Service in just 8 hours with zero downtime. The migration eliminated the complexity of self-managing the cluster, resulting in 100% uptime.

In a pivotal hyper-growth period, Notion grappled with optimizing its Elasticsearch cluster for efficient search and cost management. Teaming up with BigData Boutique, they enhanced their Elasticsearch deployment, slashed costs, and incorporated advanced machine learning for heightened search relevance and user experience.

A desire to revolutionize their internal knowledge platform and search functionality led Keller Williams, the leading global real estate company, to seek our help in implementing a new Elasticsearch solution. From data discovery through to exhaustive benchmarking and testing, we integrated ourselves with KW's tech team to deliver a fully future-proof search solution.

Seeking to benchmark a storage product’s performance, NetApp turned to us as a trusted partner and leader with data technologies to design, execute, and produce a series of bespoke and relevant Big Data scenarios. Working alongside the NetApp team, we delivered rich data and insights to build their own understanding and add to their go-to-market strategy.

A shift in vendor strategy and technical requirements led the First International Bank of Israel to adopt a new data platform. Read about our work with the bank which encompassed end-to-end pipeline construction, performance tuning, and building bespoke ETL services for event streaming. All the work was carried out whilst adhering to and exceeding strict regulatory and security requirements.

With a growing and diversifying customer base, Zoomin wanted to further invest in their critical search technology and feature-rich platform. In collaboration with the Zoomin team, we delivered a future-proof and cutting-edge search platform that gives them and their customers a competitive advantage.

As they moved to modernize their data platform, Pipl followed Google's recommendation and chose us to re-architect and re-deploy their many Elasticsearch clusters on GCP. We worked closely with the team at Pipl to ensure both performance and cost of those clusters is at an optimum at all times.

When their data center held them back too much, we jumped in to architect Buzzilla's next generation, cloud-native platform. Read about Buzzilla's journey to Kubernetes on Google Cloud, and how we helped them scale their Elasticsearch usage to use multi-lingual full-text search, monitoring and alerting.