Visibility in this ranking 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. The largest vendors in data warehouse software
cannot hold places 1 to 3. Places 1 to 3 go to challengers, vendors outside the best-known brands in a category,
wherever the category has them; the established names follow from place 4 in their ranked order. How it works: placement disclosure ·
editorial process.
The 12 tools, reviewed
#1 MotherDuck
Hosted DuckDB for small and mid-sized analytics · United States · motherduck.com
DuckDB Single node Per-second billing
MotherDuck takes the DuckDB engine many analysts already run on a laptop and hosts it, with sharing between users and compute billed by the second.
- Pricing: Flat monthly + usage. Lite starts at $0 (3 internal active users, 10 GB storage, 10 hours of Pulse compute a month). Free plan: free plan.
- Best for: Small teams with modest data volumes
- Strengths: DuckDB-based engine; Free Lite plan; Read-scaling replicas on Business.
Where it falls short
The design is single-node on purpose, a trade its own customers praise but which caps how large one query can grow. Business allows 10 internal active users, so a company-wide analytics rollout means the quoted Enterprise tier.
Wrong for
Companies with hundreds of concurrent analysts or petabyte-scale tables, and teams that need an enterprise governance suite on day one.
Visit MotherDuck →
#2 Firebolt
Fast analytical database for data-intensive applications · United States · firebolt.io
Open source Postgres SQL Per-second billing
Firebolt aims at the gap between a general warehouse and a hand-built serving layer: sub-second queries behind a customer-facing dashboard or an API. Its price page is unusually plain. A calculator shows one small compute-optimized node holding 1 TB at about $699 a month if left running around the clock, and per-second billing lets engines stop when idle.
- Pricing: Usage-based. Compute is billed per second in Firebolt Units: $0.23 per FBU hour on Standard and $0.35 on Enterprise in US regions. Free plan: open source.
- Best for: Engineering teams building data products
- Strengths: Postgres-compatible SQL; Per-second compute billing; Engines that scale to zero.
Where it falls short
The open source edition is labeled Preview, with general availability described as coming soon, and the docs ask for an email to get code access. The managed service lists only AWS regions on its pricing page.
Wrong for
Business analysts who want a BI layer bundled in, and companies standardized on Azure or Google Cloud, since the managed regions listed are AWS only.
Visit Firebolt →
#3 Exasol
Analytics database from Nuremberg, cloud or on premises · Germany · exasol.com
German vendor On-premises option Self-indexing
Exasol began as a university research project at Erlangen-Nuremberg and became Exasol AG in 2000. The pitch is analytics speed per euro of hardware, with automatic self-indexing taking tuning work off the administrator.
- Pricing: Quote only. Quote only: the pages we fetched call pricing simple but publish no figures. Free plan: none.
- Best for: Mid-sized firms needing on-premises analytics
- Strengths: Automatic self-indexing; Cloud, on-premises and hybrid deployment; Exasol Personal free edition.
Where it falls short
No prices are published, so you cannot set it beside the metered vendors without a quote.
Wrong for
Startups that want to enter a card number and load data this afternoon, and teams that prefer a serverless pay-per-query model.
Visit Exasol →
#4 Snowflake
Credit-metered cloud data warehouse and platform · United States · snowflake.com
Credit billing Four editions Data sharing
Snowflake separates storage from compute and lets each team run its own virtual warehouse, which solved the contention that made shared on-premises warehouses painful. Its about page cites 12,062 customers. The editions are clear: Standard covers core functionality, Enterprise adds multi-cluster compute and longer Time Travel, and Business Critical adds Tri-Secret Secure, private connectivity and failover.
- Pricing: Usage-based. 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. Free plan: free trial.
- Best for: Mid-sized firms with several data teams
- Strengths: Four editions; Virtual warehouses with auto-suspend; Multi-cluster compute on Enterprise.
Where it falls short
Credits tie cost to warehouse size, runtime and query habits, so a forgotten warehouse or an inefficient dashboard turns into an invoice line.
Wrong for
Teams with a few hundred gigabytes and one analyst, or finance owners who want a fixed monthly price.
Visit Snowflake →
#5 Google BigQuery
Serverless warehouse billed by data scanned or slot-hours · United States · cloud.google.com
Serverless Pay per scan Google Cloud
BigQuery has no servers to size. You load data, run SQL and pay for bytes scanned, with the first terabyte of queries each month free and a sandbox available for trying it. For a company with lumpy, unpredictable query volume it is the cheapest honest way to start, and it connects to Looker, Sheets and Google's AI tooling.
- Pricing: Usage-based. On-demand queries cost $6.25 per TiB scanned with the first 1 TiB per month free. Free plan: free plan.
- Best for: Google Cloud teams with spiky workloads
- Strengths: Serverless architecture; On-demand and slot pricing; BigQuery editions.
Where it falls short
On-demand billing rewards careful column selection, and a SELECT * over a wide table behind a dashboard gets expensive after the fact. Switching between on-demand and capacity models takes planning.
Wrong for
Multi-cloud shops that want one portable warehouse, and teams that want a flat price from day one.
Visit Google BigQuery →
#6 Databricks
Lakehouse platform for data engineering, SQL and AI · United States · databricks.com
DBU billing Lakehouse Machine learning
Databricks began with Spark and notebooks and now sells a warehouse (Databricks SQL), pipelines, governance and machine learning on one platform over open formats. If your company already has data scientists and engineers who live in notebooks, one copy of the data serving them and the BI team is a real simplification.
- Pricing: Usage-based. Pay as you go with per-second billing in Databricks Units (DBUs), a 14-day free trial and committed-use contracts for discounts. Free plan: free trial.
- Best for: Teams combining warehousing with machine learning
- Strengths: Databricks SQL serverless warehouse; DBU per-second billing; Committed-use contracts.
Where it falls short
DBU rates vary by product, tier and cloud, and each workload type (SQL, jobs, serverless) has its own meter, so forecasting needs the cost calculator. The Free Edition is explicitly not for production or commercial use.
Wrong for
Small finance or marketing teams that only need dashboards on a few SaaS exports.
Visit Databricks →
#7 Amazon Redshift
AWS data warehouse, provisioned or serverless · United States · aws.amazon.com
AWS Provisioned Serverless
Redshift is the sensible default for a company whose data, identity and bills already sit inside AWS. The choice between a provisioned cluster with predictable hourly pricing and Serverless, billed per second of RPU use with no charge for start-up, is its main strength: steady reporting loads suit the first, intermittent ones the second.
- Pricing: Usage-based. Provisioned starts at $0.543 per hour. Free plan: free trial.
- Best for: AWS-native teams with steady workloads
- Strengths: Provisioned and Serverless options; RPU-hour billing; Base capacity of 4 to 1,024 RPUs.
Where it falls short
Provisioned clusters need sizing and resize planning, and Serverless starts at $1.50 an hour, more than the entry price of some rivals for light use.
Wrong for
Companies on Azure or Google Cloud, and small teams without anyone to manage AWS accounts.
Visit Amazon Redshift →
#8 SingleStore
Real-time SQL database for apps and analytics · United States · singlestore.com
Real-time MySQL compatible Hourly pricing
SingleStore, formerly MemSQL and founded in 2011, combines row and column storage behind a MySQL-compatible interface so one system can take writes and answer aggregate queries quickly. That suits a product team serving live dashboards inside an application, the use where a batch-loaded warehouse feels slow. Prices are published by the hour, and a free shared workspace exists for evaluation.
- Pricing: Usage-based. Helios Cloud has a free shared workspace for non-production use, Standard from $0.99 per hour and Enterprise from $1.49 per hour. Free plan: free plan.
- Best for: Apps needing live analytics on fresh data
- Strengths: MySQL wire compatibility; Universal Storage; Vector matching functions.
Where it falls short
The free workspace is for evaluation, development and non-production testing only. Hourly floors of $0.99 or $1.49 add up to a few hundred dollars a month if left on, which is wasted on batch BI work.
Wrong for
A finance or operations team wanting a nightly-loaded reporting warehouse behind ordinary dashboards.
Visit SingleStore →
#9 Starburst
Trino-based query layer across many data sources · United States · starburst.io
Trino Federation Iceberg
Starburst answers a different question than the rest of the list: what if the data cannot or should not move. Built around Trino, it queries Snowflake, Databricks, Redshift, PostgreSQL and more than 50 other sources with one SQL statement, and it can build an Iceberg lakehouse when you do decide to consolidate.
- Pricing: Usage-based. Galaxy has a free tier of up to 3 clusters. Free plan: free plan.
- Best for: Firms with data spread over many systems
- Strengths: Trino-based engine; Federated queries across 50+ sources; Apache Iceberg lakehouse.
Where it falls short
Federated query speed depends on the systems underneath, so a slow source database slows the answer. Converting credits to dollars requires the consumption table, which varies by workload.
Wrong for
Companies starting from nothing with a handful of SaaS sources, since they gain little from federation.
Visit Starburst →
#10 Yellowbrick
Warehouse software for your own cloud or data center · United States · yellowbrick.com
Self-hosted Per vCPU Data residency
Yellowbrick prices software by vCPU and lets the buyer decide where it runs: a public cloud account, a private cloud, a data center or the edge. That appeals to a company with residency rules, sovereignty clauses or hardware it already owns, and the three price points (one-year subscription, three-year guaranteed price, hourly on-demand) sit on the page without credits or formulas.
- Pricing: Per vCPU / year. 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 plan: free trial.
- Best for: Regulated firms keeping data in-house
- Strengths: Runs in your cloud account or data center; Kubernetes-based architecture; Streaming analytics.
Where it falls short
The listed price excludes the cloud or hardware underneath, so a full quote needs your own infrastructure estimate. There is no free plan, only a trial request. A smaller buyer base means fewer community answers when something breaks.
Wrong for
Small teams without infrastructure staff, or anyone wanting a managed serverless service with one bill.
Visit Yellowbrick →
#11 Actian Analytics AI Platform
Vectorized warehouse with built-in data integration · United States · actian.com
Vectorized Actian Units HCLSoftware
Actian packages a vectorized, columnar warehouse with data integration and quality tools, so a small team gets load, transform and query in one console. The two plans are legible: Enterprise at 2.50 AU per hour with gold support and a 99.5 SLA, Enterprise+ at 5.00 AU per hour with platinum support, PrivateLink on AWS and Azure and multi-region failover.
- Pricing: Usage-based. Hourly Actian Units: Enterprise is 2.50 AU per hour and Enterprise+ is 5.00 AU per hour, with storage priced separately. Free plan: none.
- Best for: Mid-sized teams wanting integration bundled
- Strengths: Vectorized warehouse engine; Columnar storage; Separate compute and storage.
Where it falls short
The dollar price of an Actian Unit is not shown, so comparing it with other vendors needs a quote. The page offers a demo rather than a free plan.
Wrong for
Buyers who want to test on a free tier or see a dollar price before talking to sales.
Visit Actian Analytics AI Platform →
#12 Teradata
Enterprise warehouse vendor, cloud or on premises · United States · teradata.com
Enterprise Fixed + Flex On-premises
Teradata is the vendor that made enterprise data warehousing a category, and it still sells to banks, retailers and others with very large estates. Its current pricing model, Fixed + Flex, answers the complaint that pure consumption bills spike: commit to a baseline, pay on demand above it, and count everything in one unit.
- Pricing: Quote only. Fixed + Flex: a committed baseline plus elastic on-demand capacity, all counted in Teradata Units, with three packages and two storage options. Free plan: free trial.
- Best for: Large regulated enterprises
- Strengths: Fixed + Flex pricing; Teradata Units; Cloud, customer cloud and on-premises.
Where it falls short
No prices are published, and the page sends readers to a pricing specialist. The commitment model means paying for a fixed baseline in slow months, and its FAQ says downgrades take effect only at renewal.
Wrong for
Startups, small teams and anyone wanting self-serve signup with a card.
Visit Teradata →
Questions and answers
What is the best data warehouse software in 2026?
MotherDuck ranks first of 12, best for small teams with modest data volumes. Firebolt is second (engineering teams building data products) and Exasol third (mid-sized firms needing on-premises analytics). Places 1 to 3 go to challengers, vendors outside the best-known brands, wherever the category has them.
What is the difference between a data warehouse and a data lakehouse?
A warehouse stores structured, modeled tables behind a SQL engine, while a lakehouse keeps files in open formats such as Parquet and Iceberg on object storage and adds a query engine and catalog on top.
Snowflake or Databricks: which should a mid-sized company choose?
Choose Snowflake if the main users are analysts and BI developers who think in SQL, and choose Databricks if data scientists and engineers working in notebooks share the same data. Both bill by consumption and both are dominant platforms.
Do I need a data warehouse if I already have Postgres or MySQL?
Not at first. A reporting replica of Postgres handles analytics for a few million rows.
How much does a data warehouse cost for a small company?
It can be nothing, or a few hundred dollars a month. MotherDuck's Lite plan costs $0 and Business is $250 per organization per month plus usage.
Should I use BigQuery on-demand or capacity pricing?
Start on-demand and switch only when the bill is large and predictable. On-demand charges $6.25 per TiB scanned, with the first 1 TiB each month free, and gives access to up to 2,000 concurrent slots per project.
Can a small business use a data warehouse for free?
Yes, for learning and light production. MotherDuck Lite, the BigQuery free tier, Starburst's free cluster tier and SingleStore's shared workspace are free, though SingleStore's is for non-production use only. Firebolt Core is a free self-managed edition.
How hard is it to migrate from one data warehouse to another?
Moving tables is routine and moving logic is the real cost. Every major vendor documents bulk export, BigQuery to Avro, JSON or Parquet, Redshift UNLOAD to S3, Snowflake unload to S3, Google Cloud Storage or Azure.
Which warehouses can run in my own cloud account or data center?
Yellowbrick runs in your cloud account, private cloud or data center and is priced per vCPU. Exasol and Teradata offer on-premises deployment, Starburst Enterprise is self-managed software, and Firebolt Core runs on a laptop, a server or Kubernetes.
What does a data warehouse need besides the warehouse itself?
It needs a way to load data, a way to model it and a way to show it.
Is there a data warehouse that keeps my data in Europe?
Yes, several. Exasol is a German company headquartered in Nuremberg and can run in your own environment. MotherDuck lists a Frankfurt region, Firebolt lists Frankfurt and Ireland, and Starburst publishes an EU data addendum for Galaxy.
