Description: Obsrv’s planned capabilities for 2026-27, spanning Releases 2.3.0 through 2.6.0.

Labels: [New] = New capability    [AI] = AI-powered capability    [Standard] = Maintenance & upgrades

Features and timelines are indicative and may be adjusted based on client feedback and engineering capacity.

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Release 2.3.0 — December 2026 (Next)

#	Capability	Category	Label
1	Apache Iceberg as default lakehouse format via XTable	Architecture	[New]
2	Iceberg REST Catalog for external engine access	Architecture	[New]
3	Unified query engine: Trino as single query gateway	Architecture	[New]
4	Configurable deployment profiles (real-time analytics on/off, monitoring stack bundled/external)	Architecture	[New]
5	Universal monitoring integration via OpenTelemetry exporters	Observability	[New]
6	End-to-end data lineage with impact analysis	Observability	[New]
7	AI-assisted dataset creation and configuration via conversational interface	AI	[AI]
8	MCP server for AI agent integration (optional add-on)	AI	[New]
9	Software upgrades, bug fixes, vulnerability patches	Maintenance	[Standard]

Release 2.4.0 — April 2027

#	Capability	Category	Label
1	Dataset health monitoring: freshness, volume, schema consistency, error rates	Observability	[New]
2	Data contracts: declarative SLA definitions via UI, enforced through alerting engine	Observability	[New]
3	Pipeline diagnostics: unified error context across pipeline components	Observability	[New]
4	Isolated testing environment for safe pre-production validation	Observability	[New]
5	Dimension-level access filtering via OPA policy engine	Governance	[New]
6	Immutable audit trails for compliance	Governance	[New]
7	Natural language querying: unQuery engine bundled as core capability	AI	[AI]
8	AI-assisted dataset management and operations via conversational interface	AI	[AI]
9	Software upgrades, bug fixes, vulnerability patches	Maintenance	[Standard]

Release 2.5.0 — August 2027

#	Capability	Category	Label
1	Sink connectors to push data to downstream systems (CRMs, databases, APIs)	Platform	[New]
2	Managed job framework: deploy, schedule, monitor custom Flink/Spark jobs	Platform	[New]
3	Query optimization recommendations: routing, aggregation, unused dataset detection	Intelligence	[New]
4	Product usage insights dashboard	Intelligence	[New]
5	Automated infrastructure health reporting	Intelligence	[New]
6	Obsrv CLI for operations, job management, dataset configuration	Developer Exp.	[New]
7	Software upgrades, bug fixes, vulnerability patches	Maintenance	[Standard]

Release 2.6.0 — December 2027

#	Capability	Category	Label
1	Identity-based data deletion for GDPR / DPDP Act compliance	Governance	[New]
2	Automated data lifecycle management: retention, archival, tiered storage	Governance	[New]
3	Capacity forecasting and proactive scaling alerts based on usage trends	Intelligence	[New]
4	Dataset utilization scoring to identify unused datasets and reduce cost	Intelligence	[New]
5	Python / Java SDKs for programmatic integration	Developer Exp.	[New]
6	Software upgrades, bug fixes, vulnerability patches	Maintenance	[Standard]

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See the Feature Appendix for detailed descriptions, implementation scope, and benefits for each capability above.

Features, descriptions, and timelines in this document are indicative and may be adjusted based on client feedback, market conditions, and engineering capacity.