Softwr

Database & Data Management · head to head

BigQuery vs Elasticsearch

BigQuery logo

BigQuery

Database & Data Management

Serverless, highly scalable enterprise data warehouse

From
Free
Rated
-
Full reviewWebsite
Elasticsearch logo

Elasticsearch

Database & Data Management

The heart of the Elastic Stack for search and analytics

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; Elasticsearch eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements
  • They diverge on capability: BigQuery covers Serverless Architecture, Elasticsearch covers Full-text Search.

Where they differ

Only the attributes on which BigQuery and Elasticsearch actually diverge.

Attributes where BigQuery and Elasticsearch differ
AttributeBigQueryElasticsearch
Pricing modelusage-basedUnknown
PlatformsWeb, Cloud APILinux, Windows, macOS, Docker, Kubernetes
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
  • Geospatial Analysis
  • Streaming Ingestion
  • Standard SQL
  • Looker
  • Data Studio
  • Dataflow

Only in Elasticsearch

  • Full-text Search
  • Distributed Architecture
  • RESTful API
  • Schema-free JSON
  • Aggregations
  • Kibana
  • Logstash
  • Beats

Both cover

  • Real-time Analytics
  • Machine Learning
  • Web support

What people use each for

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

BigQuery

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

Elasticsearch

  • Real-time applicationsnot BigQuery
  • Content managementnot BigQuery
  • User profilesnot BigQuery
  • Mobile backendsnot BigQuery
  • Cachingnot 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

Elasticsearch

  • Eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements
  • No support for ACID transactions or rollbacks; updates delete and re-insert documents
  • JVM-dependent architecture requires careful memory management and monitoring to prevent garbage collection issues at scale

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

Elasticsearch

Free
  • Self-ManagedFree
    • Open source
    • Self-hosted
  • Elasticsearch Cloud$16.4/month
    • Managed service
    • 14-day free trial

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 Elasticsearch if

  • You need full-text search.
  • You want to start without paying.
  • You work on Linux, Windows, macOS, Docker, Kubernetes.
  • You also want distributed architecture.
Elasticsearch review

Questions people ask

Is BigQuery or Elasticsearch better?
Neither clearly leads. BigQuery starts at Free and Elasticsearch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or Elasticsearch?
BigQuery starts at Free and Elasticsearch at Free.
Does BigQuery or Elasticsearch run on more platforms?
BigQuery runs on Web, Cloud API. Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes.
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 Elasticsearch is typically brought in for.
What can BigQuery do that Elasticsearch cannot?
BigQuery covers Serverless Architecture, Petabyte Scale, Geospatial Analysis, Streaming Ingestion. Elasticsearch covers Full-text Search, Distributed Architecture, RESTful API, Schema-free JSON. Both handle Real-time Analytics, Machine Learning, 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
Elasticsearch: Is Elasticsearch free?

Yes, Elasticsearch can be deployed as free and open-source software for self-managed installations. Elastic Cloud managed service starts at $16.40 per month, with a free 14-day trial available.

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
Elasticsearch: Can I use Elasticsearch without Kibana?

Yes, Elasticsearch is a search engine independent of Kibana. Kibana is a visualization and analytics tool that works with Elasticsearch but is optional. You can use the Elasticsearch API directly for searching.

Source
Elasticsearch: Does Elasticsearch support real-time indexing?

Elasticsearch indexes data with a refresh interval, typically 1 second. Data becomes searchable after the refresh cycle, making it near-real-time but not instantaneous. This can be configured but impacts performance.

Source
Elasticsearch: What are Elasticsearch's scaling limitations?

Elasticsearch requires careful operational management at scale, including shard balancing, heap sizing, and monitoring. Large clusters can suffer from garbage collection issues and become expensive to operate.

Source
Elasticsearch: Does Elasticsearch support transactions and rollbacks?

No, Elasticsearch does not support ACID transactions or rollbacks. Updates are expensive operations that delete and re-insert documents, making it unsuitable for transactional workloads.

Source
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