Macrometa Edge Compute

Paid#15 of 30 in Edge Hosting

Macrometa Edge Compute: A broad edge platform for enterprises running data-intensive, globally distributed workloads. Ranked #15 of 30 in Edge Hosting by our editors (7.7/10); pricing: Pricing on request; best for data-intensive enterprise edge platforms.

7.7/10★★★★☆Editor score

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At a glance

• Editor score
  7.7 / 10
• Pricing
  Pricing on request
• Best for
  Data-intensive enterprise edge platforms
• Founded
  2017 · Palo Alto, California, United States
• Facts checked
  20 Sep 2026

• Where it wins

  • Combines serverless functions, containers, and event processing
  • Supports geo-replicated data, caching, routing, scaling, and load balancing
  • Connects with BigQuery, MongoDB, Kafka, MQTT, and other data systems

• Where it doesn't

  • Pricing is handled through contact sales
  • The published offering is centered on an Enterprise plan
  • Platform support is listed for web and API workloads

Our verdict on Macrometa Edge Compute

Macrometa Edge Compute is a cloud platform for enterprises running real-time applications, APIs, microservices, event-driven workloads, and serverless functions close to users and data. Its scope is broader than a single-purpose edge runtime: teams can deploy JavaScript-based serverless functions, container-based applications, and microservices while using geo-distributed data access. The platform is designed for globally distributed services with low-latency requirements and data-intensive operating patterns.

Its feature depth is the main reason to consider it. Query Workers target REST APIs, while Stream Workers support complex event processing and stream processing. The platform also combines automatic data replication, request routing, scaling, and load balancing with geo-replicated caching for applications and APIs. Its multi-model edge database supports key-value, JSON, graph, and stream data, and in-region processing can be paired with configurable replication boundaries. These capabilities give enterprise teams multiple ways to place compute and data near users or within defined regions.

Macrometa also fits environments that need connections across established data and messaging systems, including BigQuery, MongoDB, OracleDB, PostgreSQL, Snowflake, Kafka, and MQTT. The Enterprise plan includes complete access to the Global Data Network, data locality policies, private data center support, and top-tier priority support available 24x7x365. Pricing is handled through contact sales, so the product is best suited to organizations evaluating an enterprise edge architecture rather than teams seeking a self-serve entry point. Choose it for globally distributed APIs, event processing, containers, and edge data; choose an alternative if you need a simpler edge deployment or a publicly priced plan.

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Macrometa Edge Compute pricing

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Macrometa Edge Compute fact sheet

Macrometa Edge Compute integrations

Macrometa Edge Compute lists 7 integrations on its own site.

• BigQuery
• MongoDB
• OracleDB
• PostgreSQL
• Snowflake
• Kafka
• MQTT

Alternatives to Macrometa Edge Compute

• EdgeA broad edge stack for teams that want delivery, compute, storage, and databases together.9.4
• KoyebA flexible platform for deploying and scaling containerized applications across regions.9.2
• Fly.ioA flexible edge cloud for teams deploying containerized workloads across regions.9.0

See all Macrometa Edge Compute alternatives →

Featured on iTechGuides

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update