Last updated on Jul 28, 2026
Dremio offers a free trial. Information about Dremio pricing, plan availability, and costs is not listed on G2 by the vendor. Buyers typically need to engage directly with the vendor to understand pricing options. Final cost negotiations to purchase Dremio must be conducted with the seller.
*Pricing information is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations must be conducted with the seller.
Averages based on real user reviews.
Dremio does not offer a permanent free plan, but it does provide a free trial that lets users to test the product before committing to a paid plan. Trial availability and duration may vary, so users should review the seller's official pricing page for the most current details.
Dremio's pricing is best suited for mid-market and enterprise data teams running significant query volumes across multiple heterogeneous sources. G2 reviews of Dremio show heavy adoption across financial services, retail, insurance, and information technology, predominantly from enterprise and mid-market segments. A financial services enterprise reviewer reports processing 500,000 queries reading 2PB of data daily. Small businesses with meaningful data lake investments also extract strong value, per multiple G2 reviewers in retail and marketing. Dremio's pricing model is less suited for early-stage startups or small teams without dedicated infrastructure expertise, as G2 reviewers consistently flag Kubernetes management overhead and steep learning curves as barriers at smaller scales.
Dremio's pricing structure on G2 shows a Community Edition available at no cost, which G2 reviewers confirm is suitable for prototyping and validation before committing financially. A small business retail reviewer explicitly used the Community Edition to test capabilities risk-free before upgrading. Dremio's paid enterprise plans add formal support, encrypted ODBC and Arrow Flight connections, Row-Level Security, and fully managed cloud deployment options. One mid-market computer games reviewer notes that Dremio OSS lacks encrypted ODBC or Flight connections, requiring enterprise licensing for those capabilities. Custom quotes apply to enterprise needs, with consumption-based pricing aligning costs to actual workload usage.
G2 reviewers rate Dremio at 4.5/5 overall, with strong value signals across segments. A small business retail reviewer documented 60% storage cost reduction and 40% compute savings after eliminating data duplication across S3, Snowflake, and Redshift. Multiple G2 reviewers highlight query acceleration of 10x to 100x as a core ROI driver. Cost concerns surface mainly at scale: an education management enterprise reviewer noted bills adding up significantly when running on self-managed cloud infrastructure. G2 reviews of Dremio consistently position it as a premium investment that delivers measurable returns for data-heavy organizations, though smaller teams with limited Kubernetes or administrative capacity may find the operational overhead offsets savings.
The following is a quick overview of editions offered by other Big Data Processing And Distribution Systems
| Product | Price | Features |
|---|---|---|
 Standard |
$2Compute/Hour |
Compute usage is billed on a per-second basis, with a minimum of 60 seconds. You can secure price discounts with pre-purchased Snowflake capacity options.
|
| Free |
New customers get $300 in free Google Cloud credits to spend on BigQuery with free trial sign-up.
|
|
 AI Inference |
$0.251 CCU (Hourly rate) |
|
Various alternatives pricing & plans
SQL allows for a lot of flexibility when handling data from various sources. Review collected by and hosted on G2.com.
It's threads can sometimes get stuck, which makes the queries unable to run leading to frustration Review collected by and hosted on G2.com.
Its just how easy it is to use. When we first onboarded, I was surprised at how fast we could connect to, like, multiple data sources. Didn't have a huge setup headache, which was awesome.The implementation wasn't that bad, especially comparing to some other BI tools we used. I mean, it wasn't 100% smooth, had a few little hiccups, but overall we got it running way easier than I expected.
It's got pretty rich feature set—the reflections and acceleration stuff is cool for performance, even if it feels a bit overwhelming at the start. Integrating it with our existing stuff, like our AWS S3 buckets and Snowflake, was pretty straightforward. No major drama there,Oh, and the SQL editor is way better than I thought it'd be..Overall, it just feels like a tool built for speed and flexibility. we use sometimes multiple times a day when I have to do ad-hoc analysis or explore big datasets Yeah, there's definitely a learning curve, no lie. But once you get past that, you realize how powerful it is. Review collected by and hosted on G2.com.
Their customer support is decent. Sometimes they take a bit to get back to you, but most of the time I've gotten a proper solution that actually fixes the problem. The performance is weird sometimes, like one day a query runs blazing fast, and then the next day the exact same query is just... slower. For no obvious reason, The UI also feels a little clunky at times, not gonna lie. Especially when you're trying to handle a really large dataset, it'll just freeze up for a second , laggy . Makes the whole experience feel less smooth than it should.And the documentation... yeah, it could definitely be better. A lot of times I've had to just google around on forums or actually reach out to support just to find some small configuration detail that should really be in the main docs. Wastes a bunch of time.
Also it's not exactly cheap. When you start to really scale it up, especially running on our own cloud infra, the bills start to add up. I feel like for smaller teams, the admin side of things can feel too complex for what you need. Just setting up user permissions and everything is a whole thing. Review collected by and hosted on G2.com.
