vs

GenomicsDB vs TileDB

GenomicsDB: Sparse-array store for genomic variant data, built on TileDB and shipped inside GATK4. TileDB: Embeddable multidimensional array storage engine for dense and sparse data on object storage.

key differences

  • Transactions: GenomicsDB offers none ACID; TileDB offers limited.
  • Only TileDB has vector search, encryption at rest, time travel.

choose genomicsdb for

  • +Joint genotyping across large cohorts with GATK
  • +Storing and querying gVCFs for population genomics
  • +Region-based variant queries for research pipelines

best at · Scientific, OLAP

choose tiledb for

  • +Population genomics and single-cell datasets
  • +Satellite imagery and raster archives
  • +Large sparse matrices for ML
  • +Vector search over embeddings stored on object storage

best at · Scientific, Geo, Vector search

overview
Primary model
Array / Scientific
Array / Scientific
Also supports
Columnar / OLAP
Vector, Columnar / OLAP
Type
Embedded library
Embedded library
Status
Active
Active
Developer
GenomicsDB project (originally Intel, then Omics Data Automation)
Tile.ai (formerly TileDB, Inc.)
First release
2016
2017
Latest version
1.5.4 (Sep 25, 2024)
2.30.1 (Feb 25, 2026)
License
Open source (permissive)MIT License
Open source (permissive)MIT License
Free tier
✓
✓
popularity
WhichDB Score
4.2
10.5
Rank
#415
#298
GitHub stars
99
2.1K
Stack Overflow questions
–
–
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Manual
Manual
Multi-region
None
None
ACID
None
Limited
Consistency
Strong
Eventual
Schema
Strict
Strict
Architecture
Embedded, Distributed
Embedded, Serverless
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
✓
Serverless
—
—
Embedded
✓
✓
Edge
—
—
Clouds
–
–
capabilities
Transactions
—
—
Joins
—
—
Secondary indexes
—
—
Full-text search
—
—
Vector search
—
✓
Geospatial
—
—
JSON
—
—
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
✓
✓
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
—
✓
Role-based access
—
—
Time travel
—
✓
Branching
—
—
Online schema changes
—
—
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
GenomicsDB query API
TileDB API (subarray queries), SQL via integrations
Client languages
C++, Java, Scala, Python
C, C++, Python, R, Java, Go, C#
Best for
Scientific, OLAP
Scientific, Geo, Vector search, OLAP

GenomicsDB vs TileDB: FAQ

What is the difference between GenomicsDB and TileDB?

GenomicsDB: Sparse-array store for genomic variant data, built on TileDB and shipped inside GATK4. TileDB: Embeddable multidimensional array storage engine for dense and sparse data on object storage. Transactions: GenomicsDB offers none ACID; TileDB offers limited. Only TileDB has vector search, encryption at rest, time travel.

When should I choose GenomicsDB over TileDB?

Choose GenomicsDB for joint genotyping across large cohorts with GATK; storing and querying gVCFs for population genomics; and region-based variant queries for research pipelines. Choose TileDB for population genomics and single-cell datasets; satellite imagery and raster archives; and large sparse matrices for ML.

Is GenomicsDB or TileDB more popular?

TileDB ranks #298 on the WhichDB Score (10.5/100) and GenomicsDB ranks #415 (4.2/100). Popularity is not fit: check the requirements that matter for your project.

Are GenomicsDB and TileDB open source?

Yes. GenomicsDB is open source. License: MIT License. Yes. TileDB is open source. License: MIT License.