Selected technology
Google Cloud Bigtable active Managed wide-column NoSQL database for large-scale operational and analytical workloads.
Available reviewed record details appear below. Fields that have not yet been reviewed are omitted.
Canonical ID tech_000000000000009YBMQKPCCTGY
Kind database
Requires context No
Aliases Bigtable, Cloud Bigtable
Last reviewed 2026-10-05
Sources checked 2026-10-05 Last reviewed 2026-10-05 · Release 2026.10.7 · Methodology
Technology popularity in job advertisements Weekly job advertisements mentioning this technology in Finland, Sweden, Germany, and the United Kingdom. The graph runs from January 1, 2026 through today, or starts later when Queast data begins later.
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Every available weekly observation is included. Popularity here means observed job-ad mentions, not general adoption or market share.
Data provided by best authority for IT sales signals: Queast Record details and sources Overview Bigtable stores data in tables organized by row keys and column families. It is intended for high-throughput workloads such as time-series and other large keyed datasets. Schema and row-key design influence performance.
Pricing and access indicators Qualitative indicators only; exact prices are not tracked.
Access indicator Unknown
Billing indicators None specified
Free trial unknown
Verified on Not verified Technology licensing Google Cloud Terms · license text
Scope: Hosted Bigtable service; open-source client libraries have separate licenses.
This is separate from the taxonomy dataset license (CC-BY-SA-4.0) and from pricing/access.
Deployment options managed service · Vendor-operated service; this does not describe deployment of client SDKs.source 1 Typical use cases Store and query large time-series or keyed operational datasets. source 1 Strengths Provides a managed database designed for high-throughput access. source 1 Limitations Row-key and schema design require care to avoid uneven load and inefficient access. source 1 The API uses the active release. For a reproducible reference, pin the dataset download, version, schema and checksum.
Record JSON Release JSON Version and checksum MCP guide Back to hierarchy API reference GitHub dataset Contribution status 