Databases · head to head
LanceDB vs ScyllaDB

LanceDB
Databases
Embedded retrieval library over the Apache 2.0 Lance columnar format, with proprietary Cloud and Enterprise tiers for serving at scale.
- From
- On request
- Rated
- -

ScyllaDB
Databases
The real-time big data database compatible with Cassandra
- From
- Free
- Rated
- -
The short version
- Only ScyllaDB has a free tier, so it costs nothing to try first.
- Each has a real cost: LanceDB the open source build is a library with no network endpoint, authentication or tenancy model, so exposing it to more than one application means writing your own service in front of it and handing every consumer credentials to the bucket.; ScyllaDB enterprise tier requires custom quote from sales
- They diverge on capability: LanceDB covers Embedded operation, ScyllaDB covers Cassandra Compatible.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which LanceDB and ScyllaDB actually diverge.
Identical on both: user rating (Not yet rated), category (Databases).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in LanceDB
- Embedded operation
- Lance columnar format
- Object storage native
- Multimodal storage
- Vector indexes
- Full-text and hybrid search
- Scalar filtering
- Dataset versioning
Only in ScyllaDB
- Cassandra Compatible
- DynamoDB Compatible
- 10x Throughput
- Low Latency
- Auto-tuning
- Lightweight Transactions
- Change Data Capture
- Cassandra Drivers
What people use each for
The jobs each tool is most often brought in to do.
LanceDB
- Retrieval over a dataset that includes images, audio or video, where keeping the embeddings and the source media in one format avoids a second storage systemnot ScyllaDB
- A training and retrieval pipeline that must read the same rows for both purposes without maintaining two copies and a sync jobnot ScyllaDB
- Prototyping search locally with the same code path that later runs against S3, with no local server to installnot ScyllaDB
- Keeping a large, mostly cold vector corpus on object storage rather than paying to hold it in memory in a conventional vector databasenot ScyllaDB
ScyllaDB
- Real-time applicationsnot LanceDB
- Content managementnot LanceDB
- User profilesnot LanceDB
- Mobile backendsnot LanceDB
- Cachingnot LanceDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
LanceDB
- The open source build is a library with no network endpoint, authentication or tenancy model, so exposing it to more than one application means writing your own service in front of it and handing every consumer credentials to the bucket.
- Queries that miss the cache pay object storage round trips, so interactive latency depends on local SSD caching or the Enterprise serving tier rather than on the library itself.
- Concurrent writers to the same dataset coordinate through commits on the object store, so multi-writer setups can conflict and the safe pattern is a single writer per table, which is an architectural constraint on your ingest design.
- Newly written rows are not in the index until the index is rebuilt or updated, and until then they are searched by brute force, so recall and latency drift between reindexing jobs that you have to schedule and pay for.
- The capabilities that make it operable at scale, distributed index building, managed caching and hosted serving, live in the proprietary Cloud and Enterprise tiers, so the open licence protects the data but not the production deployment.
ScyllaDB
- Enterprise tier requires custom quote from sales
- Pricing varies by cloud provider, storage, and instance configuration
- Contracts available but commitment required for subscription discounts
Pricing, plan by plan
LanceDB
On requestNo published plan breakdown. See the LanceDB review.
ScyllaDB
Free- ScyllaDB Cloud Standard$null/variable
- Usage-based billing: vCPU, RAM, NVMe SSD storage
- 2-hour P1 support response time
- 99.9% uptime SLA
- ScyllaDB Cloud Professional$null/variable
- Enterprise-grade scalability
- 1-hour P1 support response
- Enhanced features included
- ScyllaDB Cloud Premium$null/variable
- Custom security and networking
- 15-minute P1 support response
- 99.99% uptime SLA
- ScyllaDB Enterprise$null/quote
- Self-managed deployment
- On-premise or private cloud
- Custom quote required
Which should you pick?
Choose ScyllaDB if
- You need cassandra compatible.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes, Web.
- You also want dynamodb compatible.
Questions people ask
- Is LanceDB or ScyllaDB better?
- Neither clearly leads. LanceDB starts at On request and ScyllaDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, LanceDB or ScyllaDB?
- ScyllaDB has a free tier; the other does not. Paid plans start at On request for LanceDB and Free for ScyllaDB.
- Does LanceDB or ScyllaDB run on more platforms?
- LanceDB runs on Web. ScyllaDB runs on Linux, Docker, Kubernetes, Web.
- Can I use ScyllaDB for free?
- Yes. ScyllaDB has a free tier, so you can try it without paying. LanceDB starts at On request.
- What is LanceDB best used for?
- LanceDB is most often used for retrieval over a dataset that includes images, audio or video, where keeping the embeddings and the source media in one format avoids a second storage system, a training and retrieval pipeline that must read the same rows for both purposes without maintaining two copies and a sync job, prototyping search locally with the same code path that later runs against s3, with no local server to install, keeping a large, mostly cold vector corpus on object storage rather than paying to hold it in memory in a conventional vector database. Of those, retrieval over a dataset that includes images, audio or video, where keeping the embeddings and the source media in one format avoids a second storage system and a training and retrieval pipeline that must read the same rows for both purposes without maintaining two copies and a sync job are not what ScyllaDB is typically brought in for.
- What can LanceDB do that ScyllaDB cannot?
- LanceDB covers Embedded operation, Lance columnar format, Object storage native, Multimodal storage. ScyllaDB covers Cassandra Compatible, DynamoDB Compatible, 10x Throughput, Low Latency.
Answered from the vendors’ own pages
LanceDB: Is LanceDB open source?
The LanceDB library and the underlying Lance format are Apache 2.0. LanceDB Cloud and LanceDB Enterprise are proprietary managed products built on top of them.
ScyllaDB: How is ScyllaDB Cloud pricing calculated?
ScyllaDB Cloud uses transparent, resource-based billing based on instance type (vCPU and RAM), NVMe SSD storage, service plan tier, deployment model, and cloud provider costs.
SourceLanceDB: Do I need the managed service?
Not for development or for embedded use in a single application. You typically need it when many clients must query concurrently with predictable latency, or when index builds outgrow one machine.
ScyllaDB: Does ScyllaDB offer a free trial?
ScyllaDB offers a 30-day developer trial on smaller instances and a 48-hour production evaluation trial with full-grade instances.
SourceLanceDB: Can other tools read my data?
Yes. Lance datasets are readable from DuckDB, Polars, Pandas, PyArrow and PyTorch, which is the main practical difference from a vector database that owns its own storage.
ScyllaDB: What cost savings are available for long-term ScyllaDB commitments?
ScyllaDB subscription contracts provide up to 70% or more in savings compared to on-demand hourly billing. 1-year and 3-year contract options are available.
SourceLanceDB: How does it compare to pgvector?
pgvector keeps vectors next to relational data in a database you already run. LanceDB keeps them in object storage in a format built for random access and multimodal payloads, and scales storage independently of any server.
ScyllaDB: How much cheaper is ScyllaDB than DynamoDB?
Unlike DynamoDB which charges per read/write unit, ScyllaDB charges based on resource usage only, potentially delivering 50% or greater cost reduction for high-throughput workloads.
SourceLanceDB: What happens to updates and deletes?
Writes append new fragments and mark old rows deleted, with compaction reclaiming space later, so a workload with heavy in-place updates accumulates overhead until compaction runs.
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