Antfly vs Databricks
The Data + AI Platform, built on an open lakehouse architecture
Feature Comparison
| Feature | ||
|---|---|---|
| Price | ||
| Price | $ Open source (Apache-2.0), self-hosted | $$ Free Edition for learning; pay-as-you-go per DBU, e.g. Jobs $0.15, Serverless SQL $0.70 (AWS Premium, US East) |
| Search | ||
| Vector Search | Native Built-in vector engine with hybrid search | Native AI Search (formerly Vector Search), billed per endpoint unit |
| Full-Text Search | Native BM25 + semantic hybrid search | Partial BM25 keyword search in AI Search, in Beta |
| Hybrid Search | Native Unified BM25 + vector scoring in a single query | Native AI Search hybrid queries fuse vector and keyword results with RRF |
| Inference Models | ||
| Model Execution | Native Antfly Inference runs embedders, rerankers, chunkers locally | Native Model Serving deploys custom and foundation models on CPU or GPU endpoints |
| Re-ranking | Native Built-in cross-encoder reranking via Antfly Inference | Native Built-in Databricks reranker in AI Search, billed per 1k queries |
| End-to-End RAG | Native Ingest, embed, store, retrieve, rerank, generate | Native Managed document Q&A agents with citations (Knowledge Assistant, Genie Agents) |
| Modalities | ||
| Text | Native Built-in text embeddings via Antfly Inference | Native Text embedding via Model Serving and Foundation Models |
| Image | Native CLIP image embeddings via Antfly Inference | Partial Image embedding models run on Model Serving; AI Search computes embeddings from text only |
| Audio | Native Audio embeddings via Antfly Inference | Partial Audio models possible via Model Serving at additional cost |
| Video | Native Video frame embeddings via Antfly Inference | Partial Video models possible via Model Serving at additional cost |
Native PDF chunking and embedding via Antfly Inference | Native ai_parse_document parses PDF, Office files, and images | |
| Storage | ||
| Structured Data / ACID | Native Full document store with ACID transactions | Native Delta Lake provides ACID on top of data lake storage |
| Distributed Clusters | None No multi-node clusters; a standalone server with an optional hot standby | Native Distributed Spark clusters managed by the platform |
| Multi-Tenancy | Native Namespace-level tenant isolation | Native Unity Catalog with workspace and catalog-level isolation |
| Hosting | ||
| Self-Hosted | Native A Lite file or a standalone server | None Managed service on AWS, Azure, or GCP; no on-prem option |
| Cloud-Hosted | Native Antfly Cloud, from $20/mo, first year free | Native Fully managed on AWS, Azure, and GCP |
| Operations | ||
| Operational Simplicity | Native Single binary, zero-config standalone mode | Partial Managed platform with serverless options; each product is configured and metered separately |
Why Antfly
- Single binary replaces an entire platform of billable services
- Built-in ML inference eliminates separate Model Serving costs
- Predictable pricing vs. complex DBU-based billing across multiple SKUs
- Self-hosted option: no cloud vendor lock-in
- Operational simplicity: zero-config standalone mode vs. managing Spark clusters
No DBU metering · No cloud markup · No dual billing
+ your hardware costs (same as Databricks requires)
Databricks cost estimates based on public rates. Antfly cloud estimates are representative; actual costs depend on usage. View full pricing.
Deep Dive
Databricks is a powerful unified analytics platform, but that power comes with sprawling complexity and cost. A typical AI workload touches Jobs Compute, SQL Warehouses, Vector Search, Model Serving, Feature Store, Unity Catalog, and cloud infrastructure, each billed separately in DBUs with different rates.
Antfly collapses this stack into a single binary. Vector search, full-text search, ML inference (via Antfly Inference), and document storage all run together with zero configuration. There's no DBU metering, no warehouse spin-up time, and no separate model serving infrastructure to manage.
For teams that need Spark-scale batch analytics, Databricks is purpose-built. But for AI-powered search and retrieval (the workloads where vector search, embeddings, and RAG matter), Antfly delivers the same capabilities at a fraction of the operational complexity and cost.
Replace 8 services with one platform.
Download Antfly + Antfly Inference and build your first AI search pipeline in under five minutes.
antfly standalone