Our developers have extensive experience maintaining large scale messaging and event streaming platforms for wide range of use cases — finance and banking, IoT, eCommerce, among others.
Choose from a range of SLAs to suit startups to enterprise organizations worldwide. We also cater to your urgent needs and help you build go to market products in time with our customized services and solutions.
Our developers are available to you 24/7 — making it easy for you to schedule consulting engagements when most convenient for your team.
Our Solution Architects will guide your team in building a robust and scalable model based on your use case, data volume, growth needs, and other business requirements. If needed, we’ll help you migrate from your existing messaging platform such as Kafka and RabbitMQ successfully, minimizing impact on your infrastructure.
Our engineers will support you in development and implementation of your messaging and event streaming system with ClickHouse. We’ll make sure the configurations are setup with best practices and latest features — ready for your test and production environment.
We help you achieve optimal performance and ensure health of your ClickHouse clusters — while reducing your operational and maintenance costs. Finetune configurations for your use cases — optimize clusters for durability and memory usages and troubleshoot performance issues to help you operate ClickHouse reliably and stably in your cloud platform of choice.
Our developers have extensive experience maintaining large scale messaging and event streaming platforms for wide range of use cases — finance and banking, IoT, eCommerce, among others.
Choose from a range of SLAs to suit startups to enterprise organizations worldwide. We also cater to your urgent needs and help you build go to market products in time with our customized services and solutions.
Our developers are available to you 24/7 — making it easy for you to schedule consulting engagements when most convenient for your team.
BigData Boutique were a great help to our search team. They helped with some of the intricacies of Elastic Search and how we could integrate it with our solutions. We had some existing questions and then wanted to freestyle some investigation into our roadmap in the coming months. We collaboratively had some working prototypes at the end of period which will hopefully lead to some great new product features around search experiences at OpenTable.
BigData Boutique's Itamar has been awesome in helping us improve our storage support in NServiceBus and improving our line of DevOps products in the Particular Platform.
We have someone to go to for questions around Elasticsearch now. We are constantly exploring the potential for further use of Elasticsearch, and they are a very valuable resource for that.
