Arc Enterprise: When Your Single Node Isn't Enough Anymore

Photo by Alex Kotliarskyi on Unsplash

Your Arc deployment is humming along. Sensors are flowing in, dashboards are snappy, and the team is happy. Then things start growing.

More facilities come online. More sensors. More teams want access. Someone asks about redundancy. Someone else asks why storage costs keep climbing. And suddenly, that single-node setup that served you well is starting to feel... limited.

This is a good problem to have. It means Arc is working for you.

Arc Enterprise is what comes next.

Same Binary, New Capabilities

Let me be clear about what Arc Enterprise is: it's the same Arc you're already running. Same binary, same APIs, same Parquet storage, same DuckDB query engine. A license key unlocks the enterprise features. No data migration. No forklift upgrade. Just new capabilities when you need them.

What You Get

Clustering & High Availability

When a single node isn't enough, Arc Enterprise lets you run 3+ node clusters with automatic failover. The architecture splits responsibilities: dedicated writers for ingestion, readers for queries, compactors for background work. If a writer goes down, a standby takes over in under 30 seconds.

This isn't about Arc OSS being unreliable. It's about production environments where downtime isn't acceptable. Manufacturing lines. Fleet tracking. Patient monitoring. When the data stops flowing, people notice.

Role-Based Access Control

Your data engineering team needs full access. Your analytics team needs read-only on specific databases. Your operations team should only see production metrics for their facilities.

Arc Enterprise adds organizations, teams, and granular permissions. Database-level access. Measurement-level access. Even row-level security with tag filters. Plus a full audit trail of who did what and when.

Tiered Storage

This one's already implemented and it's a game changer for long-term data retention.

Hot data stays on fast storage for quick queries. Cold data automatically migrates to S3 Glacier or Azure Archive based on age. You configure a threshold (say, 30 days), and Arc handles the rest. Query-time routing is transparent. You query data the same way regardless of where it lives.

We're seeing 60-80% storage cost reduction for customers keeping years of historical data. That's real money back in your pocket.

Automatic Aggregation & Retention

In Arc OSS, you can run continuous queries and retention policies, but you have to trigger them manually or build your own scheduler. Arc Enterprise handles this automatically.

Set up a cascade: raw data rolls up to 1-minute aggregates, then 1-hour, then 1-day. Old raw data gets deleted after 7 days. The scheduler runs in the background, you configure it once, and it just works.

Query Governance

When you have multiple teams hitting the same cluster, resource management matters. Arc Enterprise adds per-user and per-team quotas, rate limiting, query result caching, and cost estimation before queries run. Predictable resource usage, no surprises.

Pricing

We're keeping pricing simple and transparent:

Annual billing only. Multi-year discounts available. No hidden fees.

We're Running Beta

Arc Enterprise is ready for production, and we're looking for companies to run POCs over the coming weeks.

You're a good fit if you have:

• High data volumes (100M+ metrics per day)
• High availability requirements
• Multiple teams needing different access levels
• Storage costs you'd like to reduce

We offer a 14-day trial to evaluate. No credit card required.

If this sounds like you, reach out at enterprise@basekick.net. We'll set up a call, understand your use case, and get you running.

Questions? Drop by our Discord or check out the full feature breakdown at basekick.net/enterprise.