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Database & Data Management · head to head

BigQuery vs RavenDB

BigQuery logo

BigQuery

Database & Data Management

Serverless, highly scalable enterprise data warehouse

From
Free
Rated
-
Full reviewWebsite
RavenDB logo

RavenDB

Database & Data Management

The fully transactional NoSQL document database

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: BigQuery query costs can become substantial for organizations with high query volumes; RavenDB the free Developer licence bars commercial use and expires every 6 months, requiring renewal
  • They diverge on capability: BigQuery covers Serverless Architecture, RavenDB covers ACID Transactions.

Where they differ

Only the attributes on which BigQuery and RavenDB actually diverge.

Attributes where BigQuery and RavenDB differ
AttributeBigQueryRavenDB
Pricing modelusage-basedfreemium
PlatformsWeb, Cloud APILinux, Windows, Mac, Docker, Web
Founded20082010

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 RavenDB

  • ACID Transactions
  • Auto-indexing
  • Full-text Search
  • Graph Queries
  • Distributed Counters
  • Time Series
  • Document Compression
  • .NET

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

BigQuery

  • Business intelligencenot RavenDB
  • Data warehousingnot RavenDB
  • Real-time analyticsnot RavenDB
  • Reportingnot RavenDB
  • Machine learningnot RavenDB

RavenDB

  • Running a distributed document database with ACID transactionsnot BigQuery
  • Self hosting a multi node database cluster on your own hardwarenot BigQuery
  • Replicating operational data out to analytics systems through ETLnot 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

RavenDB

  • The free Developer licence bars commercial use and expires every 6 months, requiring renewal
  • The free Community licence caps a customer at 60 cores and forces you to stay on the latest major version
  • The Professional licence is limited to a single database, a 5 node cluster, 40 cores and 240 GB RAM
  • Sharding across nodes, ETL to OLAP, Elasticsearch and Kafka, and data archival are Enterprise only
  • Enterprise and AI licence pricing is contact us only with no published rate

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

RavenDB

Free
  • CommunityFree
    • 3 cores
    • 6GB RAM
    • Community support
  • Professional$499/year
    • Production use
    • Professional support
    • Advanced features

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.
BigQuery review

Choose RavenDB if

  • You need acid transactions.
  • You want to start without paying.
  • You work on Linux, Windows, Mac, Docker, Web.
  • You also want auto-indexing.
RavenDB review

Questions people ask

Is BigQuery or RavenDB better?
Neither clearly leads. BigQuery starts at Free and RavenDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or RavenDB?
BigQuery starts at Free and RavenDB at Free.
Does BigQuery or RavenDB run on more platforms?
BigQuery runs on Web, Cloud API. RavenDB runs on Linux, Windows, Mac, Docker, Web.
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 RavenDB is typically brought in for.
What can BigQuery do that RavenDB cannot?
BigQuery covers Serverless Architecture, Petabyte Scale, Real-time Analytics, Machine Learning. RavenDB covers ACID Transactions, Auto-indexing, Full-text Search, Graph Queries. Both handle Web support.

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.

Source
BigQuery: 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
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