Apache Spark is a unified engine for large-scale data processing and analytics.
Open source
24 alternativesadam
ADAM analyzes genomics data with specialized file formats built on Apache Spark, Avro, and Parquet.
About adam
ADAM is an open-source genomics analysis platform built on Apache Spark, Apache Avro, and Apache Parquet. It operates as both a library and command line tool to parallelize genomic data analysis across cluster and cloud computing environments, supporting legacy genomic file formats including SAM/BAM/CRAM, BED/GFF3/GTF, and VCF, as well as data stored in the columnar Parquet format. ADAM provides APIs for Scala, Java, Python, R, and SQL, and can be installed via Conda, Homebrew, Docker, or built from source using Apache Maven.
Key features
- Parallelizes genomic analysis across cluster/cloud via Apache Spark
- Supports legacy genomic formats: SAM/BAM/CRAM, BED/GFF3/GTF, VCF
- Handles columnar Apache Parquet genomic data storage
- Offers APIs for Scala, Java, Python, R, and SQL
- Installable via Conda, Homebrew, or Docker
- Scales to clusters with more than 1000 cores
Best for: Researchers and data analysts conducting large-scale genomic or transcriptomic sequencing analysis across distributed computing environments.
Good for
- Enables fault-tolerant distributed genomic analysis without intermediate disk I/O
- Delivers competitive performance on single-node systems
- Integrates with common data science tools for downstream genomic analysis
Watch out for
- Requires Apache Spark to be installed on the system
- Building from source requires Apache Maven 3.3.9 or later
adam at a glance
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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adam FAQ
How can ADAM be installed?
ADAM can be installed via Conda (Bioconda), Homebrew (Brewsci/bio), Docker (BioContainers), or built from source using Apache Maven.
What genomic file formats does ADAM support?
ADAM supports legacy formats including SAM/BAM/CRAM, BED/GFF3/GTF, and VCF, as well as Apache Parquet.
What programming languages can be used with ADAM's APIs?
ADAM's APIs are available for Scala, Java, Python, R, and SQL.
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