Stackable provides a Kubernetes‑native, open‑source platform that bundles data services such as Apache Kafka, Druid, Trino, and Spark into modular components deployable via a single CLI tool. It enables enterprises to build and reconfigure data pipelines, lakehouses, or mesh nodes across on‑prem, multi‑cloud, and edge environments while maintaining data sovereignty and compliance. Optional managed‑service and support subscriptions deliver enterprise SLAs and security hardening.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often need to assemble complex data pipelines that combine event streaming, analytical workloads, and machine‑learning components. Existing solutions are typically monolithic, vendor‑locked, or require extensive custom integration, making it difficult to maintain data sovereignty, achieve cloud‑agnostic deployments, and adapt architectures quickly to evolving business needs.
Solution
Stackable delivers a Kubernetes‑native, open‑source data platform that aggregates best‑in‑class open‑source data services—such as Apache Kafka®, Apache Druid®, Trino, and Apache Spark™—into a single, modular stack. Users can compose and re‑compose data architectures (e.g., data lakehouses, event‑streaming pipelines, or data‑mesh nodes) by selecting the required components from a curated catalog and deploying them with a single command‑line tool (stackablectl). The platform abstracts underlying infrastructure, enabling deployments on‑premises, in public clouds, or at the edge while preserving data sovereignty and compliance with standards like NIS2 and DORA. Optional managed‑service and support subscriptions provide enterprise‑grade SLAs, security hardening, and expert assistance, allowing organizations to focus on data‑driven outcomes rather than platform maintenance.
Target Audience
The primary customers are data engineering and platform teams in enterprises—particularly in financial services, manufacturing, urban data platforms, and open‑data initiatives—that require a flexible, standards‑compliant data infrastructure.
Features
- Kubernetes‑native operator that automates lifecycle management of integrated data services.
- Modular component catalog (Kafka, Druid, Trino, Spark, etc.) with versioned releases and one‑click installation via stackablectl.
- Unified monitoring, logging, and alerting interfaces that expose metrics through Prometheus and logs via standard Kubernetes mechanisms.
- Policy‑as‑code enforcement using Open Policy Agent (OPA) for fine‑grained access control and compliance automation.
- Cloud‑agnostic deployment model supporting on‑prem, multi‑cloud, and edge environments while ensuring data sovereignty.
- Built‑in support for data‑mesh patterns, including federated governance and self‑serve data product capabilities.
- Continuous interoperability testing across component versions to guarantee stable integrations.
- Optional managed service, subscription‑based support, and professional expertise packages for enterprise customers.