Your data, ready for AI. Your AI, ready for production.

Big data consulting helps organizations design, build, operate, and optimize platforms that handle high volume, high velocity, or highly varied data. It typically spans architecture, technology selection, implementation, migrations, performance tuning, cost optimization, and ongoing production support across systems like Elasticsearch, OpenSearch, Apache Flink, Apache Kafka, ClickHouse, Databricks, and Apache Spark.

A big data consultant designs, builds and fixes the systems that store, move and query large volumes of data. Day to day that means choosing the right engines, designing schemas and pipelines, planning capacity, tuning slow queries, running migrations and upgrades, cutting infrastructure cost, and helping the in-house team operate the platform. Our big data consultants are senior engineers who do this work hands-on in production, not advisors who hand over a slide deck.

Our big data consulting services cover data engineering services for pipelines, streaming and lakehouse platforms, data platform consulting for architecture, cost and migrations, search engineering on Elasticsearch and OpenSearch, AI consulting services for RAG and agents, and 24/7 production support. Engagements run as fixed-scope projects, retainers, annual support subscriptions or embedded engineers.

BigData Boutique is a specialist big data consultancy and AI engineering company. We design and operate production-grade data platforms on Elasticsearch, OpenSearch, Apache Flink, Apache Kafka, ClickHouse, Databricks, Spark and modern lakehouse architectures, and build the RAG, semantic search and agentic systems that run on them. Our work covers consulting, implementation, migrations, 24/7 enterprise support, and cost and performance optimization for Fortune 100 enterprises and high-growth startups, with consultants across multiple continents serving customers in the United States, Europe, Israel and beyond.

Our core specializations include Elasticsearch, OpenSearch, Apache Flink, Apache Kafka, Apache Spark, ClickHouse, Databricks, Apache Iceberg, AWS data and analytics services (Amazon OpenSearch Service, MSK, EMR, Glue, Athena), vector search and semantic search, and retrieval-augmented generation (RAG) and agentic AI workloads.

Most big data consulting firms are generalists. We are a specialist boutique. Every consultant is a senior practitioner, hand-picked and trained in-house, working with customers across multiple continents. We are an AWS Advanced Tier Services Partner with Amazon OpenSearch Service Delivery designation and AWS AI Services Competency, members of the OpenSearch Software Foundation under the Linux Foundation, and an accredited OpenSearch LTS support provider. We commit to specific platforms in depth rather than offering a generic consulting catalog.

The OpenSearch Software Foundation accredits commercial support providers through its Long-Term Support program. BigData Boutique was the first accredited provider in that program and offers 24/7 OpenSearch support for both self-managed OpenSearch and Amazon OpenSearch Service, with an official OpenSearch Ambassador on the team. Amazon OpenSearch Service customers can also use AWS Support for the managed service itself.

Yes. We offer enterprise-grade 24/7 production support for Elasticsearch, OpenSearch, ClickHouse, Apache Flink, and the broader big data stack, including SLAs, on-call coverage, and proactive monitoring through our Pulse platform.

Yes. Cost and performance optimization is one of our most common engagements. We routinely cut Elasticsearch and OpenSearch infrastructure spend through index design, sharding strategy, hardware right-sizing, hot/warm/cold tiering, query optimization, and migration between Elastic Cloud, Amazon OpenSearch Service, and self-managed deployments.

Through AI Launchpad, the path is about eight weeks: use-case fit in week 1, building on your real data in weeks 2 to 5, and hardening for production in weeks 6 to 8, followed by launch and ongoing support. Your data, integrations and security review set the exact scope.

Yes. A named senior data or AI engineer can work part-time or full-time inside your team, your repositories and your on-call for a quarter or longer, backed by our specialists. You interview the engineer first. Some teams call this role a forward deployed engineer.