Implementation status

This page summarizes the features supported by different Parquet implementations.

Note: If you find out of date information, please help us improve the accuracy of this page by opening an issue or submitting a pull request.

Legend

The value in each box means:

✅: supported. Footnote added when support is partial. When data is available, links to release notes are provided on the implementing version.
❌: not supported
(R): only read support
(W): only write support
(blank): no data

Implementations

arrow (C++)
parquet-java (Java)
arrow-go (Go)
arrow-rs (Rust)
cudf (cuDF C++)
hyparquet (JavaScript)
duckdb (C++)

Physical types

Physical types are defined by the enum Type in parquet.thrift

Data Type	arrow	parquet-java	arrow-go	arrow-rs	cudf	hyparquet	duckdb
BOOLEAN	✅	✅	✅	✅	✅	✅	✅
INT32	✅	✅	✅	✅	✅	✅	✅
INT64	✅	✅	✅	✅	✅	✅	✅
INT96¹	✅	✅	✅	✅	✅	(R)	(R)
FLOAT	✅	✅	✅	✅	✅	✅	✅
DOUBLE	✅	✅	✅	✅	✅	✅	✅
BYTE_ARRAY	✅	✅	✅	✅	✅	✅	✅
FIXED_LEN_BYTE_ARRAY	✅	✅	✅	✅	✅	✅	✅

Notes:

(1) This type is deprecated, but as of 2024 it's common in currently produced parquet files

Logical types

Logical types are defined by the union LogicalType in parquet.thrift and described in LogicalTypes.md

Data Type	arrow	parquet-java	arrow-go	arrow-rs	cudf	hyparquet	duckdb
STRING	✅	✅	✅	✅	✅	✅	✅
ENUM	❌	✅	✅	✅(1)	❌	✅	✅
UUID	❌	✅	✅	✅(1)	❌	✅	✅
8, 16, 32, 64 bit signed and unsigned INT	✅	✅	✅	✅	✅	✅	✅
DECIMAL (INT32)	✅	✅	✅	✅	✅	✅	✅
DECIMAL (INT64)	✅	✅	✅	✅	✅	✅	✅
DECIMAL (BYTE_ARRAY)	✅	✅	✅	✅	✅	✅	(R)
DECIMAL (FIXED_LEN_BYTE_ARRAY)	✅	✅	✅	✅	✅	✅	✅
FLOAT16 (2023)	✅	✅(1)	✅	✅	✅	✅	✅
DATE	✅	✅	✅	✅	✅	✅	✅
TIME (INT32)	✅	✅	✅	✅	✅	✅	✅
TIME (INT64)	✅	✅	✅	✅	✅	✅	✅
TIMESTAMP (INT64)	✅	✅	✅	✅	✅	✅	✅
INTERVAL	✅	✅(1)	✅	✅	❌	✅	✅
JSON	✅	✅(1)	✅	✅(1)	❌	✅	✅
BSON	❌	✅(1)	✅	✅(1)	❌	❌	❌
VARIANT (2025)		✅	✅	✅	❌	❌	✅
GEOMETRY (2025)	✅	✅	❌	✅	❌	✅	✅
GEOGRAPHY (2025)	✅	✅	❌	✅	❌	✅	✅
LIST	✅	✅	✅	✅	✅	(R)	✅
MAP	✅	✅	✅	✅	✅	(R)	✅
UNKNOWN (always null)	✅	✅	✅	✅	✅	✅	✅

Notes:

(1) Only supported to use its annotated physical type

Encodings

Encodings are defined by the enum Encoding in parquet.thrift and described in Encodings.md

Encoding	arrow	parquet-java	arrow-go	arrow-rs	cudf	hyparquet	duckdb
PLAIN	✅	✅	✅	✅	✅	✅	✅
PLAIN_DICTIONARY	✅	✅	✅	✅	✅	✅	(R)
RLE_DICTIONARY	✅	✅	✅	✅	✅	✅	✅
RLE	✅	✅	✅	✅	✅	✅	✅
BIT_PACKED (deprecated)	✅	✅	✅	❌(1)	(R)	(R)	❌
DELTA_BINARY_PACKED	✅	✅	✅	✅	✅	(R)	✅
DELTA_LENGTH_BYTE_ARRAY	✅	✅	✅	✅	✅	(R)	✅
DELTA_BYTE_ARRAY	✅	✅	✅	✅	✅	(R)	✅
BYTE_STREAM_SPLIT (2020)	✅	✅	✅	✅	✅	(R)	✅
BYTE_STREAM_SPLIT (Additional Types) (2024)	✅	✅	✅	✅			✅

Notes:

(1) Partial read support, but only in the case of level data with a bitwidth of 0

Compression Codecs

Compressions are defined by the enum CompressionCodec in parquet.thrift and described in Compression.md

Compression	arrow	parquet-java	arrow-go	arrow-rs	cudf	hyparquet	duckdb
UNCOMPRESSED	✅	✅	✅	✅	✅	✅	✅
BROTLI	✅	✅	✅	✅	(R)	(R)	✅
GZIP	✅	✅	✅	✅	(R)	(R)	✅
LZ4 (deprecated)	✅	❌	❌	✅	❌	(R)	❌
LZ4_RAW	✅	✅	✅	✅	✅	(R)	✅
LZO	❌	❌	❌	❌	❌	❌	❌
SNAPPY	✅	✅	✅	✅	✅	✅	✅
ZSTD	✅	✅	✅	✅	✅	(R)	✅

Other format level features

Feature	arrow	parquet-java	arrow-go	arrow-rs	cudf	hyparquet	duckdb
xxHash-based bloom filters (2019)	(R)	✅	✅	✅	(R)		✅
Bloom filter length¹	(R)	✅	✅	✅	(R)		✅
Statistics min_value, max_value	✅	✅	✅	✅	✅	✅	✅
Page index (2018)	✅	✅	✅	✅	✅	(R)	(R)
Page CRC32 checksum	✅	✅	❌	✅	❌	❌	(R)
Modular encryption (2019)	✅	✅	✅	✅^R	❌	❌	✅(2)
Size statistics (2023)³	✅	✅	(R)	✅	✅		(R)
Data Page V2⁴	✅	✅	✅	✅	✅	✅	✅

Notes:

(1) In parquet.thrift: ColumnMetaData->bloom_filter_length

(2) Partial support

(3) In parquet.thrift: ColumnMetaData->size_statistics

(4) In parquet.thrift: DataPageHeaderV2

High level data APIs for Parquet feature usage

Feature	arrow	parquet-java	arrow-go	arrow-rs	cudf	hyparquet	duckdb
External column data¹	✅	✅	❌	❌	(W)	✅	❌
Row group "Sorting column" metadata²	✅	❌	✅	✅	(W)	❌	(R)
Row group pruning using statistics	❌	✅	✅(3)	✅	✅	❌	✅
Row group pruning using bloom filter	❌	✅	✅(3)	✅	✅	❌	✅
Reading select columns only	✅	✅	✅	✅	✅	✅	✅
Page pruning using statistics	❌	✅	✅(3)	✅	❌	❌	❌

Notes:

(1) In parquet.thrift: ColumnChunk->file_path

(2) In parquet.thrift: RowGroup->sorting_columns

(3) Partial support

Minimum Version for Read Support by Year

This table shows the minimum engine version required to read Parquet files using features introduced in each year. Only includes compression, encodings, physical types, and logical types. Features without a specified format version are assumed to have been added prior to 2023.

Note: This data was originally collected in December 2025, and not all data was backfilled. It is likely older releases of each engine support reading all features for 2023 and before. As volunteers have time they are invited to add more granular details on releases. Generally, versions are expected to be accurate for any year 2025 and after.

Note: The following features are excluded from this table: ENUM, UUID, INTERVAL, JSON, BSON, BIT_PACKED (deprecated), LZ4 (deprecated), LZO.

Engine	≤2023 Features	2024 Features	2025 Features
Apache Arrow C++	18.0.0 (2024-10-28)	18.0.0 (2024-10-28)	❌
Parquet Java	1.14.1 (2024-07-16)	1.14.1 (2024-07-16)	1.16.0 (2025-09-03)
Apache Arrow Go	18.4.0 (2025-07-21)	18.4.0 (2025-07-21)	❌
Apache Arrow Rust	52.2.0 (2024-07-28)	53.0.0 (2024-08-31)	57.0.0 (2025-10-19)
cuDF	25.12.00 (2025-12-10)	❌	❌
Hyparquet	1.23.0 (2025-12-10)	❌	❌
DuckDB	1.4.0 (2025-09-16)	1.4.0 (2025-09-16)	1.4.0 (2025-09-16)

Last modified December 19, 2025: Add dates for implementation features. (#144) (562de32)