---
layout: doc_page
title: "Hadoop-based Batch Ingestion VS Native Batch Ingestion"
---

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# Comparison of Batch Ingestion Methods

Druid basically supports three types of batch ingestion: Hadoop-based
batch ingestion, native parallel batch ingestion, and native local batch
ingestion. The below table shows what features are supported by each
ingestion method.


|   |Hadoop-based ingestion|Native parallel ingestion|Native local ingestion|
|---|----------------------|-------------------------|----------------------|
| Parallel indexing | Always parallel | Parallel if firehose is splittable | Always sequential |
| Supported indexing modes | Replacing mode | Both appending and replacing modes | Both appending and replacing modes |
| External dependency | Hadoop (it internally submits Hadoop jobs) | No dependency | No dependency |
| Supported [rollup modes](http://druid.io/docs/latest/ingestion/index.html#roll-up-modes) | Perfect rollup | Best-effort rollup | Both perfect and best-effort rollup |
| Supported partitioning methods | [Both Hash-based and range partitioning](http://druid.io/docs/latest/ingestion/hadoop.html#partitioning-specification) | N/A | Hash-based partitioning (when `forceGuaranteedRollup` = true) |
| Supported input locations | All locations accessible via HDFS client or Druid dataSource | All implemented [firehoses](./firehose.html) | All implemented [firehoses](./firehose.html) |
| Supported file formats | All implemented Hadoop InputFormats | Currently only text file format (CSV, TSV, JSON) | Currently only text file format (CSV, TSV, JSON) |
| Saving parse exceptions in ingestion report | Currently not supported | Currently not supported | Supported |
| Custom segment version | Supported, but this is NOT recommended | N/A | N/A |