Why Speed and Efficiency Are the Natural Outcome of an Enterprise Ready Platform: A Comparison of Cost and Performance of Snowflake and Databricks

By:  James Dinkel

In enterprise data platforms, performance problems rarely show up as slow queries.

They show up as missed SLAs, unpredictable costs, operational overhead, and risk at scale. Speed and cost matter — but for enterprises, they are not the objective. Enterprise readiness is.

Platforms architected from the ground up for enterprise requirements — security, governance, reliability, interoperability, and operational simplicity — deliver predictable performance and lower cost as a natural outcome. Platforms that are not require constant tuning, oversizing, and intervention just to stay within acceptable bounds.

This architectural difference explains a consistent pattern we see across customer evaluations and standardized benchmarks: Snowflake delivers faster performance at lower cost than Databricks — not through tuning or resource inflation, but through enterprise-ready design.

Purpose-Built for Performance vs. Performance by Adding Resources

Snowflake and Databricks were built with fundamentally different design goals. Snowflake was architected from the start to support:

  • A highly optimized planner and execution engine
  • Automatic concurrency and workload management
  • A fully managed, serverless operating model
  • Built-in security and governance

Databricks evolved from Apache Spark, originally designed for batch processing and data engineering. While used for engineering-centric use cases, performance remains closely tied to:

  • Cluster sizing and auto-scaling behavior
  • Runtime configuration
  • DBU consumption

Databricks has invested in improving these areas (e.g., Serverless SQL, Photon); however, the availability and strength of these capabilities are inconsistent across its platform.

The result: performance in Snowflake is predictable and automatic, whereas in Databricks it is conditional and, in many cases, operationally intensive.

Enterprises Run Mixed, Concurrent Workloads

Real enterprise environments don’t optimize for one query or one user. They run mixed workloads simultaneously,

  • Short, high-concurrency BI queries
  • Medium analytical exploration
  • Large, complex joins and aggregations
  • Data pipelines, ML training, AI-powered queries

In customer evaluations, enterprises frequently replay real “busy hour” production workloads on both platforms. Across these mixed workloads and standardized TPC-DS tests, the outcome is consistent: Snowflake performs faster across workload types, with lower total cost and far less variance.

Same Size on Paper. Different Compute. Different Results.

Enterprise teams often assume that similarly named tiers deliver similar performance. In practice, that assumption doesn’t hold.

Across customer evaluations and standardized benchmarks, platforms with the same nominal tier size can deliver meaningfully different compute capacity, leading to different performance and cost outcomes.

At comparable “X-Large” tiers, results consistently show:

  • Large queries (>10 seconds): Snowflake is ~1.7x faster and ~1.5x lower cost per query
  • Small queries (<10 seconds):Snowflake is ~1.4x faster and ~1.2x lower cost
  • Across all queries: Snowflake is ~1.5x faster overall and ~1.3x lower total cost

Why is it important for enterprises?

Enterprise performance challenges rarely arise from a single query—they arise from concurrency, complexity, and scale occurring simultaneously. And a platform that is performant and cost-effective under different scenarios ensures a customer’s deployment is future-proof.

When Similar Sizes Deliver Different Outcomes

To isolate platform efficiency, both platforms were tested using comparable compute tiers (Snowflake Gen2 XXL and Databricks SQL Serverless XL) on a 10TB TPC-DS workload.

Despite similar underlying infrastructure:

  • Snowflake completed workloads 1.8x to 2.15x faster
  • Performance variance was minimal
  • Total cost was lower — even when Snowflake’s hourly rate was higher

Warm power run results:

Comparable Compute

Databricks XL

Snowflake Gen2 XXL

Warm Power Run Duration

915 – 1,150 seconds

509 – 534 seconds

Warehouse Hourly Rate (SE)

$56.00

$86.40

Cost of Run (Standard Edition)

$17.89

$12.82

For enterprises, this translates directly into:

  • Easier SLA compliance
  • Lower resource consumption resulting in lower costs

More predictable operations at scale

Matching SLAs Reveals Platform Efficiency

Enterprises don’t buy platforms to win benchmarks — they buy them to meet SLAs consistently.

When Databricks is scaled up to match Snowflake’s performance, the performance gap narrows — but the cost gap widens dramatically. Achieving equivalent performance for Databricks requires significantly more compute, driving materially higher costs. Snowflake, by contrast, meets the same SLAs with fewer resources and costs remain 2x lower under Standard Edition (SE) pricing and 1.5x under Enterprise Edition (EE) pricing.

Warm power run results:

Performance Matching

Databricks XXXL

Snowflake Gen2 XXL

Warm Power Run Duration

522 seconds

518 seconds

Cost of Run (SE):

$27.60

$12.43

This highlights a core enterprise principle: efficiency matters more than flexibility at scale.

Enterprise Readiness Is the Differentiator

Performance and cost are not the definition of enterprise readiness — they are the result of it. Snowflake’s architecture includes:

As enterprise usage grows, these capabilities help reduce operational risk, simplify management, and support predictable outcomes—without constant tuning or oversight. Across customer evaluations and standardized benchmarks, Snowflake consistently delivers strong performance at lower total cost—not because of tuning techniques or oversized clusters, but because enterprise readiness is built into the architecture.

All performance and cost comparisons in this article are based on specific customer evaluations and benchmark tests conducted under defined configurations and assumptions, including TPC-DS workloads. Results may vary based on workload characteristics, data volumes, configuration choices, pricing agreements, and cloud environments. The findings reflect our professional analysis and experience and are not intended to represent universal performance outcomes. If you would like to discuss your situation, please feel free to reach out to us at info@squadrondata.com

Appendix

TPS-DS results for XL / XL Run

The individual query IDs (Q_01–Q_99) shown below correspond to standard TPC-DS query templates and variants. While the semantics of each query differ, they collectively represent a realistic mix of joins, aggregations, filters, and data access patterns typical of enterprise analytical workloads.

Rather than focusing on a single query, this appendix aims to demonstrate the distribution and consistency of performance and cost outcomes across the full workload. The aggregated results in the article above summarize these patterns.  Furthermore, we have grouped the queries into large (>10 seconds) and small (<10 seconds) and have notated the price per query for both platforms using standard pricing for each platform as follows:

Snowflake:  XL Gen2, 21.6 Hourly Credits, $3/credit = $64.80/hr

Databricks:  Serverless SQL XL, 80 DBU/hr, $.70/DBU = $56.00/hr 

Detail:

QUERY

Big/Small

Snowflake Duration Milliseconds

Snowflake Cost

Databricks Duration Milliseconds

Databricks Duration Cost

Q_01

small

1907

$34.33

4930

$70.12

Q_02

small

5576

$100.37

5942

$92.43

Q_03

small

1541

$27.74

1671

$25.99

Q_04

big

36988

$665.78

56455

$878.19

Q_05

big

4959

$89.26

12685

$197.32

Q_06

small

1478

$26.60

1736

$27.00

Q_07

small

4555

$81.99

8553

$133.05

Q_08

small

1611

$29.00

2376

$36.96

Q_09

big

23421

$421.58

13211

$205.50

Q_10

small

2842

$51.16

2838

$44.15

Q_11

big

19986

$359.75

21649

$336.76

Q_12

small

921

$16.58

1211

$18.84

Q_13

small

5934

$106.81

5574

$86.71

Q_14P1

big

28700

$516.60

22587

$351.35

Q_14P2

big

25937

$466.87

18275

$284.28

Q_15

small

2271

$40.88

2411

$37.50

Q_16

small

2458

$44.24

4648

$72.30

Q_17

big

6123

$110.21

24762

$385.19

Q_18

small

4458

$80.24

5084

$79.08

Q_19

small

1601

$28.82

2424

$37.71

Q_20

small

722

$13.00

1264

$19.66

Q_21

small

832

$14.98

1573

$24.47

Q_22

small

1036

$18.65

1721

$26.77

Q_23P1

big

33679

$606.22

45265

$704.12

Q_23P2

big

33285

$599.13

36046

$560.72

Q_24P1

big

16244

$292.39

41193

$640.78

Q_24P2

big

15342

$276.16

20525

$319.28

Q_25

small

3455

$62.19

4738

$73.70

Q_26

small

2622

$47.20

3338

$51.92

Q_27

small

4179

$75.22

5262

$81.85

Q_28

big

28852

$519.34

32901

$511.79

Q_29

big

8780

$158.04

10622

$165.23

Q_30

small

1549

$27.88

3137

$48.80

Q_31

big

6323

$113.81

21350

$332.11

Q_32

small

1320

$23.76

1244

$19.35

Q_33

small

3299

$59.38

3613

$56.20

Q_34

small

2878

$51.80

4233

$65.85

Q_35

small

6340

$114.12

5188

$80.70

Q_36

small

5122

$92.20

8124

$126.37

Q_37

small

2570

$46.26

2022

$31.45

Q_38

big

9525

$171.45

11626

$180.85

Q_39P1

small

1272

$22.90

2776

$43.18

Q_39P2

small

1100

$19.80

5209

$81.03

Q_40

small

3614

$65.05

4249

$66.10

Q_41

small

210

$3.78

538

$8.37

Q_42

small

852

$15.34

1033

$16.07

Q_43

small

3066

$55.19

3338

$51.92

Q_44

big

9923

$178.61

16228

$252.44

Q_45

small

2714

$48.85

3058

$47.57

Q_46

small

5921

$106.58

4320

$67.20

Q_47

big

24918

$448.52

13957

$217.11

Q_48

small

5994

$107.89

3815

$59.34

Q_49

small

7689

$138.40

5428

$84.44

Q_50

big

13639

$245.50

16642

$258.88

Q_51

big

11111

$200.00

6293

$97.89

Q_52

small

710

$12.78

1278

$19.88

Q_53

small

2233

$40.19

2543

$39.56

Q_54

small

2147

$38.65

2420

$37.64

Q_55

small

811

$14.60

960

$14.93

Q_56

small

2772

$49.90

3751

$58.35

Q_57

small

7886

$141.95

8418

$130.95

Q_58

small

1749

$31.48

1710

$26.60

Q_59

small

4443

$79.97

9340

$145.29

Q_60

small

3042

$54.76

4700

$73.11

Q_61

small

2874

$51.73

3899

$60.65

Q_62

small

3114

$56.05

3374

$52.48

Q_63

small

2480

$44.64

2867

$44.60

Q_64

big

27077

$487.39

29278

$455.44

Q_65

big

9016

$162.29

17368

$270.17

Q_66

big

4921

$88.58

21056

$327.54

Q_67

big

26810

$482.58

61871

$962.44

Q_68

small

2225

$40.05

3347

$52.06

Q_69

small

3076

$55.37

2893

$45.00

Q_70

small

4173

$75.11

8066

$125.47

Q_71

small

2482

$44.68

4408

$68.57

Q_72

small

8067

$145.21

9780

$152.13

Q_73

small

1229

$22.12

1662

$25.85

Q_74

big

14666

$263.99

14855

$231.08

Q_75

big

31029

$558.52

45041

$700.64

Q_76

big

15469

$278.44

14932

$232.28

Q_77

small

2242

$40.36

2374

$36.93

Q_78

big

137355

$2,472.39

61750

$960.56

Q_79

small

4309

$77.56

3690

$57.40

Q_80

big

11246

$202.43

15181

$236.15

Q_81

big

2671

$48.08

11723

$182.36

Q_82

small

3535

$63.63

7474

$116.26

Q_83

small

1216

$21.89

1838

$28.59

Q_84

small

1262

$22.72

2572

$40.01

Q_85

small

4408

$79.34

3884

$60.42

Q_86

small

2674

$48.13

4942

$76.88

Q_87

big

12528

$225.50

9446

$146.94

Q_88

big

10652

$191.74

42824

$666.15

Q_89

small

4626

$83.27

4204

$65.40

Q_90

small

3832

$68.98

3435

$53.43

Q_91

small

1130

$20.34

2043

$31.78

Q_92

small

845

$15.21

1349

$20.98

Q_93

small

343

$6.17

385

$5.99

Q_94

big

3479

$62.62

13908

$216.35

Q_95

small

5394

$97.09

5370

$83.53

Q_96

small

7280

$131.04

5848

$90.97

Q_97

big

26874

$483.73

26264

$408.55

Q_98

small

1383

$24.89

2105

$32.74

Q_99

small

5299

$95.38

5558

$86.46