Tinybird 每月有 85,443 次造訪，月增率 -24.7%，定價模式為免費增值。UltiHash 每月有 4,910 次造訪，成長率 +56.4%，定價模式為免費增值、付費、需聯絡報價。
Tinybird is a data platform that pairs managed ClickHouse® with a hosted API, ingestion and MCP layer so engineering teams can build and ship real-time analytics products without operating database clusters themselves. It combines sub-second SQL querying, streaming and batch ingestion connectors, branching workflows and AI-agent tooling in one workflow.
UltiHash is high-throughput, S3-compatible object storage engineered for AI workloads. It accelerates inference, training and RAG pipelines, cuts storage costs with binary-level deduplication, and deploys either as a managed serverless service or self-hosted on Kubernetes.
| 面向／指標 | | |
|---|---|---|
| 官方網域 | tinybird.co | ultihash.io |
| 定價模式 | 免費增值 | 免費增值、付費、需聯絡報價 |
| 每月造訪次數 | 8.54萬 (85,443) | 4910 (4,910) |
| 月流量變化量 | -2.8萬 (-24.7%) | +1771 (+56.4%) |
| 主要市場與市佔 | 🇪🇸 西班牙 (15%) | 🇺🇸 美國 (82.2%) |
| 每月直接造訪 | 2.26萬 | 1952 |
| 使用者評分 | 4.6 | 4.4 |
| 支援平台 | 網站 | 網站 |
Tinybird is a data platform that pairs managed ClickHouse® with a hosted API, ingestion and MCP layer so engineering teams can build and ship real-time analytics products without operating database clusters themselves. It combines sub-second SQL querying, streaming and batch ingestion connectors, branching workflows and AI-agent tooling in one workflow.
Write SQL and publish it as low-latency HTTP endpoints, backed by columnar storage and serverless scaling, without managing clusters, sharding or Zookeeper.
Stream events over an HTTP Events API, Kafka, S3, GCS, DynamoDB or URLs in Parquet, CSV and NDJSON, so telemetry, transactions and logs land where you can query them.
Create zero-copy, full-stack environments with production data for testing, and roll out schema changes as safe migrations without taking the system offline.
A CLI plus TypeScript and Python SDKs, along with agent skills and a remote MCP server, let AI coding assistants build and deploy analytics pipelines directly.
UltiHash is high-throughput, S3-compatible object storage engineered for AI workloads. It accelerates inference, training and RAG pipelines, cuts storage costs with binary-level deduplication, and deploys either as a managed serverless service or self-hosted on Kubernetes.
Optimized throughput keeps GPUs and TPUs fed during training and inference so compute is not wasted on I/O bottlenecks.
Binary-level deduplication detects duplicate byte strings and versions, lowering the total cost of ownership for large datasets.
Drop into existing pipelines without changing your stack, working with Parquet, Iceberg and standard S3 tools.
Choose a managed serverless service hosted in EU Tier 1 datacenters, or deploy the Kubernetes-native Self-Hosted edition anywhere.
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