Database & Data Management · head to head
BigQuery vs CouchDB
BigQuery
Database & Data Management
Serverless, highly scalable enterprise data warehouse
- From
- Free
- Rated
- -
CouchDB
Database & Data Management
Seamless multi-master sync with Apache CouchDB
- From
- Free
- Rated
- -
The short version
- Each has a real cost: BigQuery query costs can become substantial for organizations with high query volumes; CouchDB append-only storage model may have performance implications for certain workloads with high update rates
- They diverge on capability: BigQuery covers Serverless Architecture, CouchDB covers Multi-master Replication.
Where they differ
Only the attributes on which BigQuery and CouchDB actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Database & Data Management).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in BigQuery
- Serverless Architecture
- Petabyte Scale
- Real-time Analytics
- Machine Learning
- Geospatial Analysis
- Streaming Ingestion
- Standard SQL
- Looker
Only in CouchDB
- Multi-master Replication
- HTTP/JSON API
- MapReduce Views
- ACID Semantics
- Offline-first
- Conflict Resolution
- Fauxton UI
- PouchDB
What people use each for
The jobs each tool is most often brought in to do.
BigQuery
- Business intelligencenot CouchDB
- Data warehousingnot CouchDB
- Real-time analyticsnot CouchDB
- Reportingnot CouchDB
- Machine learningnot CouchDB
CouchDB
- Offline-first applications requiring seamless replication across mobile and server environmentsnot BigQuery
- Multi-master deployments where data consistency eventually resolves across regionsnot BigQuery
- IoT and edge computing scenarios with intermittent connectivitynot BigQuery
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
BigQuery
- Query costs can become substantial for organizations with high query volumes
- Data egress from Google Cloud incurs additional charges
CouchDB
- Append-only storage model may have performance implications for certain workloads with high update rates
- Requires network synchronisation for cluster data consistency; can introduce latency in multi-master scenarios
- No explicit support for complex joins; MapReduce queries may be inefficient compared to relational databases
Pricing, plan by plan
BigQuery
Free- Free TierFree
- 1TB queries/month
- 10GB storage/month
- Standard support
- On-demand$6.25/TB
- Pay per query
- Pay per storage
- All features
CouchDB
FreeNo published plan breakdown. See the CouchDB review.
Which should you pick?
Choose BigQuery if
- You need serverless architecture.
- You want to start without paying.
- You work on Web, Cloud API.
- You also want petabyte scale.
Choose CouchDB if
- You need multi-master replication.
- You want to start without paying.
- You work on Docker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry Pi.
- You also want http/json api.
Questions people ask
- Is BigQuery or CouchDB better?
- Neither clearly leads. BigQuery starts at Free and CouchDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery or CouchDB?
- BigQuery starts at Free and CouchDB at Free.
- Does BigQuery or CouchDB run on more platforms?
- BigQuery runs on Web, Cloud API. CouchDB runs on Docker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry Pi.
- Can I use BigQuery for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is BigQuery best used for?
- BigQuery is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what CouchDB is typically brought in for.
- What can BigQuery do that CouchDB cannot?
- BigQuery covers Serverless Architecture, Petabyte Scale, Real-time Analytics, Machine Learning. CouchDB covers Multi-master Replication, HTTP/JSON API, MapReduce Views, ACID Semantics.
Answered from the vendors’ own pages
BigQuery: How is BigQuery priced?
BigQuery charges $5 per terabyte of data processed in on-demand queries. Storage is billed separately: active storage is charged per GB, and data inactive for 90+ days moves to long-term storage at reduced rates.
SourceBigQuery: What is BigQuery's architecture?
BigQuery separates compute and storage, using Google's Colossus for distributed storage and Borg for computation, allowing independent scaling of each.
Source