Buyers look past Databricks when the bill follows several DBU meters on top of a separate cloud invoice, when the platform is far wider than the SQL warehouse they came for, or when only a trial and a learning edition are free. Most go to Snowflake, BigQuery or Redshift for a like-for-like warehouse, and to MotherDuck for a small one.
Visibility in our rankings can be paid for. Payment moves a vendor's position within
the shortlist; it never adds a vendor, and it never changes a word of the review or of this page. The first three alternatives
go to challengers, vendors outside the best-known brands in a category, wherever the category has them; the
established names follow in their ranked order. How it works:
placement disclosure · editorial process.
What each alternative does differently
1. Snowflake
Credit-metered cloud data warehouse and platform · United States
The closest like-for-like warehouse: the same dominant-platform class, billed in credits across four editions with virtual warehouses that suspend when idle. It centers on SQL, sharing and a marketplace, where Databricks starts from notebooks and pipelines, so data science teams may find less for their own work.
Switch from Databricks if you want a SQL-first platform from a vendor that does not sell notebooks as its core.
Pricing: Consumption-based: compute is billed in credits on Standard, Enterprise, Business Critical or Virtual Private Snowflake editions, plus monthly storage on-demand or pre-paid; the credit rates sit in a separate consumption table. (free trial)
Full review: #4 of 12 in our ranking ·
Visit Snowflake →
2. Google BigQuery
Serverless warehouse billed by data scanned or slot-hours · United States
Serverless, so no clusters or warehouse sizes to choose, and queries on demand are charged by data scanned rather than time. That changes the habit: wide queries cost more, idle time costs nothing. It lives inside Google Cloud, whereas Databricks runs on AWS, Azure and Google Cloud.
Switch from Databricks if your data is on Google Cloud and you want no clusters to size.
Pricing: On-demand queries cost $6.25 per TiB scanned with the first 1 TiB per month free; capacity pricing is per slot-hour under editions; the first 10 GiB of storage each month is free. (free plan)
Full review: #5 of 12 in our ranking ·
Visit Google BigQuery →
3. Amazon Redshift
AWS data warehouse, provisioned or serverless · United States
A warehouse sold by the cloud that hosts it, with provisioned clusters and a Serverless option counted in RPU-hours. Permissions and S3 access follow AWS accounts, which suits a team already standardized on AWS. It is less useful on another cloud, and machine learning work sits in other AWS services.
Switch from Databricks if your estate is on AWS and you want warehouse and storage under one account.
Pricing: Provisioned starts at $0.543 per hour; Serverless starts at $1.50 per hour, billed per second in RPU-hours with a 60-second minimum; a $300 trial credit lasts 90 days. (free trial)
Full review: #7 of 12 in our ranking ·
Visit Amazon Redshift →
4. Starburst
Trino-based query layer across many data sources · United States
A Trino-based query layer that reads data where it lives, so nothing has to be copied into a new platform first. It builds its lakehouse on Iceberg, and federation is its main idea. It is not a notebook or machine learning environment, which is where Databricks is strongest.
Switch from Databricks if you cannot consolidate data and want to query it across systems.
Pricing: Galaxy has a free tier of up to 3 clusters; Pro starts at $0.50 per credit, Enterprise at $0.75 and Mission-Critical at $1.00; a 30-day trial includes $500 in compute. (free plan)
Full review: #9 of 12 in our ranking ·
Visit Starburst →
5. MotherDuck
Hosted DuckDB for small and mid-sized analytics · United States
A hosted DuckDB for small analytics, run by one person rather than a platform team. It is built on a single node, so very large queries and company-wide user counts are outside its design. In exchange, you give up the pipelines, governance and AI surfaces Databricks bundles.
Switch from Databricks if your data fits on one large node and you want a few dashboards.
Pricing: Lite starts at $0 (3 internal active users, 10 GB storage, 10 hours of Pulse compute a month); Business is $250 per organization per month plus usage; Enterprise is quoted. (free plan)
Full review: #1 of 12 in our ranking ·
Visit MotherDuck →
6. Firebolt
Fast analytical database for data-intensive applications · United States
An engineering-led analytical database for data products and customer-facing analytics, with Postgres-compatible SQL and engines that scale to zero. It reads Parquet and Iceberg, so open storage stays possible. Its scope is narrow: it does not offer a notebook workspace or a model training environment.
Switch from Databricks if you serve analytics inside your own product and care about query latency.
Pricing: Compute is billed per second in Firebolt Units: $0.23 per FBU hour on Standard and $0.35 on Enterprise in US regions; storage passes through at $27.07 per TiB a month in US East; $200 in free credits. (open source)
Full review: #2 of 12 in our ranking ·
Visit Firebolt →
7. SingleStore
Real-time SQL database for apps and analytics · United States
A SQL database that mixes transactional and analytical work in one engine, with MySQL wire compatibility. It suits applications that need live answers on fresh rows. Batch reporting over history is a poorer fit, and the hourly floors make an always-on workspace a standing cost.
Switch from Databricks if your application needs analytics and transactions on the same fresh data.
Pricing: Helios Cloud has a free shared workspace for non-production use, Standard from $0.99 per hour and Enterprise from $1.49 per hour; self-managed and BYOC are quoted; new accounts get $500 in credits. (free plan)
Full review: #8 of 12 in our ranking ·
Visit SingleStore →
8. Yellowbrick
Warehouse software for your own cloud or data center · United States
Software that runs in your own cloud account or data center, licensed per vCPU instead of metered in DBUs. That gives a predictable software line and keeps data residency in your hands. You carry the infrastructure bill and the operations, and you get no data science workbench with it.
Switch from Databricks if you need a warehouse in your own data center and a fixed software price.
Pricing: Software only: $613 per vCPU per year on a one-year term, $482 on three years, or $0.28 per vCPU per hour on demand, plus your own cloud or on-premises infrastructure costs. (free trial)
Full review: #10 of 12 in our ranking ·
Visit Yellowbrick →
9. Exasol
Analytics database from Nuremberg, cloud or on premises · Germany
A German in-memory analytics database that indexes itself and deploys in the cloud, on premises or both. It is sold by quote, so a cost comparison needs a sales call. It aims at fast SQL on structured data and carries none of the machine learning breadth Databricks offers.
Switch from Databricks if you want fast SQL on structured data and the option to run on premises.
Pricing: Quote only: the pages we fetched call pricing simple but publish no figures. Exasol Personal is free for individuals and runs in the user's own AWS account. (none)
Full review: #3 of 12 in our ranking ·
Visit Exasol →
10. Teradata
Enterprise warehouse vendor, cloud or on premises · United States
The long-established enterprise warehouse, now on a committed baseline plus elastic capacity, available in the cloud, in a customer's cloud or on premises. It targets large regulated estates and sells by quote. Databricks itself publishes a Teradata migration guide, so expect it on the other side of some moves.
Switch from Databricks if you run a large regulated estate and want a vendor with decades of warehouse history.
Pricing: Fixed + Flex: a committed baseline plus elastic on-demand capacity, all counted in Teradata Units, with three packages and two storage options; figures come from sales. (free trial)
Full review: #12 of 12 in our ranking ·
Visit Teradata →
11. Actian Analytics AI Platform
Vectorized warehouse with built-in data integration · United States
A vectorized columnar warehouse from a division of HCLSoftware, bundled with no-code data integration and a desktop loader. Pricing counts Actian Units whose dollar value needs a quote. It is a narrower SQL product, so engineering and machine learning teams would keep Databricks next to it.
Switch from Databricks if you want loading tools bundled with a mid-sized warehouse and can ask for a quote.
Pricing: Hourly Actian Units: Enterprise is 2.50 AU per hour and Enterprise+ is 5.00 AU per hour, with storage priced separately; the dollar value of an AU is not shown on the page we fetched. (none)
Full review: #11 of 12 in our ranking ·
Visit Actian Analytics AI Platform →
Questions and answers
Can I get my data out of Databricks in an open format?
Yes: the documentation says all Databricks tables are Delta Lake tables by default, which are Parquet files plus an open transaction log. The product page also lists Apache Iceberg format compatibility. We found no page that prices or limits a bulk export, so ask your account team about egress charges first.
Can I cancel Databricks at any time?
On pay as you go, yes: the pricing page says you can cancel at any time, and usage up to the termination date is charged in full. Committed-use contracts are governed by your own agreement, which the public pages do not reproduce, so read the notice and renewal terms before planning a date.
Will I still pay my cloud provider after I leave?
Compute your workspace ran in your own cloud account is billed by that provider, not Databricks, per the pricing FAQ, and so is the storage that holds your tables. Delete or move those buckets deliberately, because ending the Databricks subscription does not remove what sits in your account.
Can I query Databricks and my new warehouse together during the move?
Yes, in one direction: Lakehouse Federation lets Databricks query Snowflake, Google BigQuery, Amazon Redshift, PostgreSQL, MySQL and other systems without copying data. That helps a phased move, since you can compare results on the same tables before switching dashboards.
What do I lose if I move off the Databricks lakehouse?
You lose the shared platform rather than the SQL: the same product also provides pipelines, Unity Catalog governance, notebooks, apps and model work. Replace each of those with a separate tool, or the target warehouse will cover only the reporting part.
Is Free Edition a safe place to keep a small workload?
No for a business, since its FAQ says it is for students, hobbyists and aspiring professionals and bars production or commercial use. Compute and warehouse sizes are limited. A small company that wants a free tier should compare the standing free plans among the alternatives.
