Loading ranking table…
Loading the latest published snapshot and its supporting evidence.
LIVE RANKINGS & DATA
Loading the latest published snapshot and its supporting evidence.
Ranks Data Platforms prompts by how differently the configured engines surface the reviewed brand universe.
Compare one brand with up to three competitors across the exact public prompt × engine matrix behind this leaderboard.
| Brand | Presence | Vs. primary | Selected share | Mentions | Cited answers | Owned URL signals | Engine breadth |
|---|---|---|---|---|---|---|---|
| Databricksdatabricks.com | 50.0%18/36 | +13.9 pp | 33.3% | 63 | 8 | 10 | 3/3 |
| Google BigQuerycloud.google.com | 38.9%14/36 | +2.8 pp | 25.9% | 45 | 2 | 2 | 3/3 |
| Snowflakesnowflake.com | 36.1%13/36 | BASE | 24.1% | 54 | 2 | 2 | 3/3 |
| Amazon Redshiftaws.amazon.com | 25.0%9/36 | -11.1 pp | 16.7% | 11 | 2 | 2 | 3/3 |
12 prompts · 36 immutable answer hashes · empty cells mean no compared brand was detected.
| Public prompt | OpenAIopenai/gpt-4o-mini | Anthropicanthropic/claude-haiku-4-5 | Geminigoogle/gemini-2.5-flash |
|---|---|---|---|
| 01 Which cloud data platforms are best for a global enterprise that needs high-concurrency analytics, workload isolation, governance, and predictable performance?recommendation | SnowflakeDatabricksGoogle BigQueryAmazon Redshift | SnowflakeDatabricks · C3Google BigQueryAmazon Redshift | Snowflake · C1DatabricksGoogle BigQueryAmazon Redshift |
| 02 Recommend a data lakehouse for analytics, machine learning, generative AI, open data formats, notebooks, and production model workflows.recommendation | SnowflakeDatabricks · C1 | SnowflakeDatabricks · C1 | Databricks · C1Google BigQuery · C1 |
| 03 Which serverless data warehouse is best for bursty workloads, minimal administration, elastic scaling, and usage-based pricing?recommendation | SnowflakeDatabricksGoogle BigQueryAmazon Redshift | SnowflakeDatabricksGoogle BigQueryAmazon Redshift · C1 | SnowflakeDatabricks · C1Google BigQueryAmazon Redshift |
| 04 Recommend a platform for real-time event streaming, stream processing, low-latency analytics, data contracts, and operational reliability.recommendation | No selected brand | No selected brand | No selected brand |
| 05 Which data platforms work best with open table formats and object storage while preserving interoperability, catalog governance, and query performance?recommendation | Databricks | Snowflake · C1Databricks · C1Google BigQuery | DatabricksAmazon Redshift · C1 |
| 06 Recommend a data platform for operational AI applications that need fresh application data, vector search, transactions, and low-latency serving.recommendation | No selected brand | No selected brand | Databricks · C1 |
| 07 Which data platform is strongest for multi-cloud governance, fine-grained access control, lineage, data sharing, privacy, and regulatory compliance?recommendation | Databricks · C1 | Databricks | No selected brand |
| 08 What data platform should a startup or small analytics team choose for fast setup, simple operations, familiar SQL, and controlled early-stage cost?recommendation | Google BigQuery | SnowflakeDatabricksGoogle BigQuery | No selected brand |
| 09 Compare modern data platforms on performance, concurrency, openness, governance, developer experience, AI readiness, reliability, and ecosystem depth.commercial | SnowflakeDatabricksGoogle BigQueryAmazon Redshift | SnowflakeDatabricksGoogle BigQueryAmazon Redshift | SnowflakeGoogle BigQuery |
| 10 How should a buyer compare data-platform total cost across storage, compute, data movement, concurrency, idle capacity, support, and administration?commercial | No selected brand | No selected brand | Google BigQuery · C1 |
| 11 Create a proof-of-concept scorecard for data platforms using ingestion, transformation, mixed queries, governance, recovery, and cost-control tests.commercial | No selected brand | No selected brand | No selected brand |
| 12 Which criteria expose data-platform migration complexity, egress cost, proprietary interfaces, skills risk, workload portability, and vendor lock-in?commercial | No selected brand | No selected brand | No selected brand |
Hostnames are derived from validated public HTTP(S) URLs, not provider-supplied domain labels.
| Source hostname | Cited answers | Distinct URLs | Engine breadth | Best position | Evidence |
|---|---|---|---|---|---|
| medium.com | 8 | 8 | 3 | #3 | Open source ↗ |
| databricks.com | 7 | 7 | 3 | #1 | Open source ↗ |
| reddit.com | 6 | 6 | 3 | #1 | Open source ↗ |
| striim.com | 6 | 4 | 3 | #2 | Open source ↗ |
| ovaledge.com | 6 | 3 | 3 | #1 | Open source ↗ |
| linkedin.com | 5 | 5 | 3 | #2 | Open source ↗ |
| learn.microsoft.com | 4 | 6 | 2 | #1 | Open source ↗ |
| motherduck.com | 4 | 4 | 3 | #2 | Open source ↗ |
| dremio.com | 4 | 3 | 2 | #1 | Open source ↗ |
| gartner.com | 4 | 3 | 3 | #2 | Open source ↗ |
| atlan.com | 3 | 3 | 2 | #1 | Open source ↗ |
| confluent.io | 3 | 2 | 3 | #1 | Open source ↗ |
| domo.com | 3 | 2 | 2 | #1 | Open source ↗ |
| starburst.io | 3 | 2 | 3 | #2 | Open source ↗ |
| athena-solutions.com | 3 | 1 | 3 | #1 | Open source ↗ |
| docs.databricks.com | 2 | 2 | 2 | #1 | Open source ↗ |
| singlestore.com | 2 | 2 | 2 | #1 | Open source ↗ |
| aws.amazon.com | 2 | 2 | 2 | #2 | Open source ↗ |
| cloud.google.com | 2 | 2 | 1 | #2 | Open source ↗ |
| cloudoptimo.com | 2 | 2 | 2 | #2 | Open source ↗ |
Derives prompt-level brand leaders and cross-engine brand-set disagreement from the complete public Rank.ai benchmark cohort.
Some explanation inputs are unavailable Missing: comparablePriorRanking.
| Component | Value | Weight | Contribution | Evidence | Status |
|---|---|---|---|---|---|
| public prompt brand presence events | 3 | 0% | — | 1 | available |
| public prompt citation urls | 15 | 0% | — | 1 | available |
| public prompt distinct reviewed brands |
| 1 |
| 0% |
| — |
| 1 |
| available |
| public prompt engine disagreement | 0 | 100% | 0 | 1 | available |
|---|
| public prompt leading brand consensus | 100 | 0% | — | 1 | available |
|---|
no_prior_published_snapshot
No comparable component drivers were published.
{"promptSlug":"best-real-time-streaming-platform","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["775b31ef-cc7b-4773-9cb7-691d1ea04c6c","a079c3a7-86c2-4caa-93ae-09f5ff6025aa","1afca896-aee2-4742-8e3e-62b2c93edcce"],"parentSnapshotId":"f40337c9-0e3c-4141-8e5c-1e8d9ba2ecf8","providerMatrixVersion":"64232fd32583"}{"promptSlug":"best-real-time-streaming-platform","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["775b31ef-cc7b-4773-9cb7-691d1ea04c6c","a079c3a7-86c2-4caa-93ae-09f5ff6025aa","1afca896-aee2-4742-8e3e-62b2c93edcce"],"parentSnapshotId":"f40337c9-0e3c-4141-8e5c-1e8d9ba2ecf8","providerMatrixVersion":"64232fd32583"}{"promptSlug":"best-real-time-streaming-platform","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["775b31ef-cc7b-4773-9cb7-691d1ea04c6c","a079c3a7-86c2-4caa-93ae-09f5ff6025aa","1afca896-aee2-4742-8e3e-62b2c93edcce"],"parentSnapshotId":"f40337c9-0e3c-4141-8e5c-1e8d9ba2ecf8","providerMatrixVersion":"64232fd32583"}{"promptSlug":"best-real-time-streaming-platform","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["775b31ef-cc7b-4773-9cb7-691d1ea04c6c","a079c3a7-86c2-4caa-93ae-09f5ff6025aa","1afca896-aee2-4742-8e3e-62b2c93edcce"],"parentSnapshotId":"f40337c9-0e3c-4141-8e5c-1e8d9ba2ecf8","providerMatrixVersion":"64232fd32583"}{"promptSlug":"best-real-time-streaming-platform","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["775b31ef-cc7b-4773-9cb7-691d1ea04c6c","a079c3a7-86c2-4caa-93ae-09f5ff6025aa","1afca896-aee2-4742-8e3e-62b2c93edcce"],"parentSnapshotId":"f40337c9-0e3c-4141-8e5c-1e8d9ba2ecf8","providerMatrixVersion":"64232fd32583"}