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RavenDB vs BigQuery

RavenDB logo

RavenDB

Software

The fully transactional NoSQL document database

From
Free
Rated
-
BigQuery logo

BigQuery

Software

Serverless, highly scalable enterprise data warehouse

From
Free
Rated
-

The short version

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

Where they differ

Only the attributes on which RavenDB and BigQuery actually diverge.

Attributes where RavenDB and BigQuery differ
AttributeRavenDBBigQuery
Pricing modelfreemiumusage-based
PlatformsLinux, Windows, Mac, Docker, WebWeb, Cloud API
Founded20102008

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

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 RavenDB

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

Only in BigQuery

  • Serverless Architecture
  • Petabyte Scale
  • Real-time Analytics
  • Machine Learning
  • Geospatial Analysis
  • Streaming Ingestion
  • Standard SQL
  • Looker

Both cover

  • Web support

What people use each for

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

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

BigQuery

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

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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

BigQuery

  • Query costs can become substantial for organizations with high query volumes
  • Data egress from Google Cloud incurs additional charges

Pricing, plan by plan

RavenDB

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

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

Which should you pick?

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.

Choose BigQuery if

  • You need serverless architecture.
  • You want to start without paying.
  • You work on Web, Cloud API.
  • You also want petabyte scale.

Questions people ask

Is RavenDB or BigQuery better?
Neither clearly leads. RavenDB starts at Free and BigQuery at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, RavenDB or BigQuery?
RavenDB starts at Free and BigQuery at Free.
Does RavenDB or BigQuery run on more platforms?
RavenDB runs on Linux, Windows, Mac, Docker, Web. BigQuery runs on Web, Cloud API.
Can I use RavenDB for free?
Both have a free tier, so you can try either at no cost before committing.
What is RavenDB best used for?
RavenDB is most often used for running a distributed document database with acid transactions, self hosting a multi node database cluster on your own hardware, replicating operational data out to analytics systems through etl. Of those, running a distributed document database with acid transactions and self hosting a multi node database cluster on your own hardware are not what BigQuery is typically brought in for.
What can RavenDB do that BigQuery cannot?
RavenDB covers ACID Transactions, Auto-indexing, Full-text Search, Graph Queries. BigQuery covers Serverless Architecture, Petabyte Scale, Real-time Analytics, Machine Learning. 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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