Fivetran built the modern managed-ELT category. It's a fundamentally different architecture from Zipline - batch replication on a schedule vs continuous streaming. Both have a place. Here's how to tell which is which.
If your downstream consumers are dashboards refreshed daily and your sources are SaaS APIs (Salesforce, HubSpot, Stripe), Fivetran is excellent. If your sources are production databases, your latency target is sub-second, and your data leaving the VPC is a compliance problem, Zipline is built for that.
| Capability | Zipline | Fivetran |
|---|---|---|
| Replication model | Continuous streaming, log-based CDC | Batch micro-extracts on a schedule (1 min – 24 hr) |
| P50 latency, source → sink | 142ms | 5min – 24hr depending on plan |
| Data leaves your network | No - runs in your VPC | Yes - passes through Fivetran's infrastructure |
| SaaS source connectors | ~12 (Stripe, Shopify, etc.) | 300+ |
| Database CDC connectors | 15 (Postgres, MySQL, Mongo, Oracle, …) | 12, but log-based for fewer of them |
| Streaming sinks (Kafka, PubSub, Kinesis) | Yes | No - warehouse-only |
| Pipelines as code | YAML / HCL, version-controlled | UI-first; Terraform provider exists |
| Pricing model | $0.05 / 1M events | MAR (monthly active rows) - opaque, deduplication-aware |
| Cost at 100M rows/month, 5 sources | ~$150/month | $2,000–$8,000/month, plan-dependent |
| SOC 2 / HIPAA / FedRAMP | SOC 2 Type II, HIPAA-ready, FedRAMP In Process | SOC 2 Type II, HIPAA, GDPR |
Fivetran's lowest-tier sync interval is 1 minute. Most teams run on 5 or 15. That's fine for analyst dashboards. It's not fine for an ML model that needs to react to a row change in seconds, or a fraud system that decides on yesterday's transaction. Zipline's median latency is 142ms because it never batches - it streams the WAL.
Fivetran extracts data, sends it to Fivetran's network, and writes it to your warehouse. For most teams that's an acceptable tradeoff for the convenience. For teams with VPC-only data residency, regulated industries, or strict egress policies, it's a non-starter - and the SOC 2 review will catch it. Zipline ships as a binary that runs inside your network; data flows source to sink without passing through us.
Service plane runs in your VPC. We see metadata (config, telemetry). We don't see your data.
Data is processed by Fivetran's infrastructure. They do this securely and have the certs, but it's a different threat model.
Fivetran has 300+ connectors and we're not pretending to match that. If you need to pull data from 8 different SaaS tools and dump it in BigQuery for the analytics team, Fivetran is the right tool. Zipline focuses on the connectors that are hard to get right - production databases with complex schemas, low-latency streaming sinks, and the operational guarantees those require.
If your primary use case is SaaS-to-warehouse for BI dashboards, your data team is small, and managed-everything is the right tradeoff for your cost/staffing structure - Fivetran. If you need real-time, you have CDC sources, you sink to streaming infrastructure, or your security team has questions about data egress - Zipline.
Most teams move only the latency-critical pipelines first and leave Fivetran for SaaS sources. Talk to us - we'll help you draw the line and migrate just what makes sense.