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Data & AI Platform

Antfly vs Databricks

The Data + AI Platform, built on an open lakehouse architecture

Feature Comparison

Feature
AntflyAntfly
DatabricksDatabricks
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

PDF
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
Select Your Scale
Databricks services in use (toggle what applies to you)
Estimated Savings with Antfly
94%
lower monthly cost
$1,473
saved per month
$17,676
saved per year
Databricks
$1,568
Antfly
$95
Databricks Monthly Bill Breakdown
74%
26%
Compute
$1,165
AI / ML
$403
Total Databricks$1,568
Antfly Monthly Cost
$95
Team tier · Usage-based
Vector search engine
Antfly Inference model execution
Full-text + hybrid search
Re-ranking & NER
Document & structured storage
Multi-tenant namespaces
Dedicated support & SLAs

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