Solanica offers a Kubernetes‑native control plane that turns any self‑hosted cluster into a managed database, vector store, and GPU‑accelerated inference platform. It automates day‑2 operations such as backups, high‑availability failover, and cost‑governance while providing built‑in observability and self‑service APIs for platform engineers and AI architects.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises that run stateful workloads such as databases and AI models on Kubernetes often face fragmented tooling, complex day‑2 operations, and vendor lock‑in to cloud‑managed services. This leads to high operational overhead, unpredictable costs, and limited data sovereignty.
Solution
Solanica provides a unified control plane that runs on customers’ own Kubernetes clusters—whether on public clouds, on‑premises, or at the edge. Built on the open‑source OpenEverest project, the platform standardizes the lifecycle of databases, vector stores, and GPU‑accelerated inference services through native CRDs, APIs, and a self‑service UI. It automates backups, point‑in‑time recovery, high‑availability failover, rolling upgrades, and cost‑governance policies such as TTLs and GPU slicing. Observability is delivered via pre‑configured Prometheus/Grafana dashboards that correlate Kubernetes metrics with database and AI performance data. Optional professional services add custom plugins for legacy engines or specialized hardware, ensuring full coverage of an organization’s data stack while keeping data inside the customer’s perimeter.
Target Audience
Primary customers are platform engineering teams, SRE/DBRE groups, and AI architects who need a self‑hosted, production‑grade DBaaS and AI platform that runs on their existing Kubernetes infrastructure.
Features
- Kubernetes‑native control plane with CRD‑first orchestration for databases, vector stores, and LLM inference
- Multi‑pattern support: DBaaS, internal developer platform integration, and AI infrastructure with GPU slicing and vector index sharding
- Automated day‑2 operations: backups, PITR, rolling upgrades, leader‑election handling, and zero‑downtime patching
- Policy engine for cost control (TTL, scale‑to‑zero) and security (RBAC, SSO/OIDC, BYOK)
- Built‑in observability stack (Prometheus + Grafana) linking cluster and workload metrics
- Flexible delivery models: web UI, REST API, or GitOps‑compatible Helm/ArgoCD workflows
- Enterprise extensions: MS SQL Server support, custom legacy adapters, 24/7 SLA backing, and professional services for bespoke integrations