YouTube Video
OpenSearch has grown from 700 million to 2.4 billion downloads and is now positioned as a unified AI data infrastructure layer, and Bianca Lewis, Executive Director of the OpenSearch Software Foundation, explains exactly what is driving that momentum and where the platform is heading.
Full article and transcript: [https://tfir.io/opensearch-ai-data-infrastructure-opensearch-foundation/]
Five years after a license change forced a community to rebuild from scratch, the stakes around open, vendor-neutral data infrastructure have never been higher. Organizations running AI workloads at scale face ballooning costs, compliance pressure, and the real risk of re-architecting everything if a proprietary vendor changes pricing.
Bianca Lewis joins Swapnil Bhartiya in this exclusive interview to break down what the OpenSearch Software Foundation's landmark 2026 Open Data Infrastructure Research Report reveals, why 83% of surveyed organizations are running or planning AI workloads, and what the latest OpenSearch 3.8 release delivers for teams operating at AI scale.
Key Topics Covered:
- Why unified AI data infrastructure replaces siloed observability, search, and security stacks
- Research findings: production adoption nearly doubled, 81% of non-users willing to evaluate OpenSearch
- Vendor neutrality as a strategic priority: 71% of organizations now treat it as non-negotiable
- OpenSearch 3.8: vector ingestion 4.16x faster, radial search throughput more than doubled, MCP integrations expanded
- Community growth: 400+ contributing companies, 3,000 contributors, contributor diversity up 31% in one year
00:00 Five Years of OpenSearch: From Fork to Foundation
01:48 OpenSearchCon North America and Community Loyalty
03:03 New Members, LTS Vendors, and OpenSearch 3.8 Launch
05:56 What Is Fueling OpenSearch's Growth Momentum
09:25 2026 Open Data Infrastructure Report: Key Findings
10:59 Vendor Neutrality as a Strategic Priority for AI Scale
13:17 OpenSearch 3.8: Vector Search, MCP, and Log Analysis
#OpenSearch #AIInfrastructure #OpenSource #VectorSearch #DataInfrastructure
Full article and transcript: [https://tfir.io/opensearch-ai-data-infrastructure-opensearch-foundation/]
Five years after a license change forced a community to rebuild from scratch, the stakes around open, vendor-neutral data infrastructure have never been higher. Organizations running AI workloads at scale face ballooning costs, compliance pressure, and the real risk of re-architecting everything if a proprietary vendor changes pricing.
Bianca Lewis joins Swapnil Bhartiya in this exclusive interview to break down what the OpenSearch Software Foundation's landmark 2026 Open Data Infrastructure Research Report reveals, why 83% of surveyed organizations are running or planning AI workloads, and what the latest OpenSearch 3.8 release delivers for teams operating at AI scale.
Key Topics Covered:
- Why unified AI data infrastructure replaces siloed observability, search, and security stacks
- Research findings: production adoption nearly doubled, 81% of non-users willing to evaluate OpenSearch
- Vendor neutrality as a strategic priority: 71% of organizations now treat it as non-negotiable
- OpenSearch 3.8: vector ingestion 4.16x faster, radial search throughput more than doubled, MCP integrations expanded
- Community growth: 400+ contributing companies, 3,000 contributors, contributor diversity up 31% in one year
00:00 Five Years of OpenSearch: From Fork to Foundation
01:48 OpenSearchCon North America and Community Loyalty
03:03 New Members, LTS Vendors, and OpenSearch 3.8 Launch
05:56 What Is Fueling OpenSearch's Growth Momentum
09:25 2026 Open Data Infrastructure Report: Key Findings
10:59 Vendor Neutrality as a Strategic Priority for AI Scale
13:17 OpenSearch 3.8: Vector Search, MCP, and Log Analysis
#OpenSearch #AIInfrastructure #OpenSource #VectorSearch #DataInfrastructure