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Database & Data Management · head to head

Apache Druid vs Firestore

Apache Druid logo

Apache Druid

Database & Data Management

Real-time analytics database for sub-second OLAP queries

From
Free
Rated
-
Full reviewWebsite
Firestore logo

Firestore

Database & Data Management

Flexible, scalable NoSQL cloud database from Firebase

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features; Firestore the no-cost Spark plan caps Standard edition at 50,000 document reads, 20,000 writes and 20,000 deletes per day
  • They diverge on capability: Apache Druid covers Real-time Ingestion, Firestore covers Document Model.

Where they differ

Only the attributes on which Apache Druid and Firestore actually diverge.

Attributes where Apache Druid and Firestore differ
AttributeApache DruidFirestore
Pricing modelopen-sourcefreemium
PlatformsDocker, Kubernetes, Native deployment (Java-based)Web, Ios, Android, Flutter
Founded19992011

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 Apache Druid

  • Real-time Ingestion
  • Sub-second Queries
  • Column-oriented Storage
  • Streaming Integration
  • Approximate Algorithms
  • Flexible Schemas
  • Time-based Partitioning
  • Kafka

Only in Firestore

  • Document Model
  • Real-time Updates
  • Offline Support
  • ACID Transactions
  • Expressive Queries
  • Multi-region
  • Security Rules
  • Firebase Auth

What people use each for

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

Apache Druid

  • Real-time analytics platforms ingesting millions of events per second from streaming sourcesnot Firestore
  • Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not Firestore
  • Time-series and event analysis at massive scale with columnar storage efficiencynot Firestore

Firestore

  • Storing structured application data with realtime listenersnot Apache Druid
  • Backing mobile and web apps with a serverless document databasenot Apache Druid
  • Building offline first apps that sync when connectivity returnsnot Apache Druid

Where each one falls short

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

Apache Druid

  • Open-source offering lacks high-availability, distributed architecture, and enterprise security features
  • Requires native integration with Apache Kafka or Amazon Kinesis for real-time ingestion; custom integrations need development
  • High-concurrency query support (hundreds of thousands QPS) requires significant cluster infrastructure investment

Firestore

  • The no-cost Spark plan caps Standard edition at 50,000 document reads, 20,000 writes and 20,000 deletes per day
  • The Spark plan caps storage at 1 GiB and network egress at 10 GiB per month
  • Charging is per document read, so a query returning many documents bills for every one of them
  • Going beyond the free thresholds requires the pay as you go Blaze plan billed at Google Cloud rates with no fixed monthly ceiling

Pricing, plan by plan

Apache Druid

Free

No published plan breakdown. See the Apache Druid review.

Firestore

Free
  • SparkFree
    • 1GB storage
    • 50K reads/day
    • 20K writes/day
  • BlazeFree
    • Pay as you go
    • Unlimited operations
    • Multi-region

Which should you pick?

Choose Apache Druid if

  • You need real-time ingestion.
  • You want to start without paying.
  • You work on Docker, Kubernetes, Native deployment (Java-based).
  • You also want sub-second queries.
Apache Druid review

Choose Firestore if

  • You need document model.
  • You want to start without paying.
  • You work on Web, Ios, Android, Flutter.
  • You also want real-time updates.
Firestore review

Questions people ask

Is Apache Druid or Firestore better?
Neither clearly leads. Apache Druid starts at Free and Firestore at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Druid or Firestore?
Apache Druid starts at Free and Firestore at Free.
Does Apache Druid or Firestore run on more platforms?
Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). Firestore runs on Web, Ios, Android, Flutter.
Can I use Apache Druid for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Druid best used for?
Apache Druid is most often used for real-time analytics platforms ingesting millions of events per second from streaming sources, applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows), time-series and event analysis at massive scale with columnar storage efficiency. Of those, real-time analytics platforms ingesting millions of events per second from streaming sources and applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows) are not what Firestore is typically brought in for.
What can Apache Druid do that Firestore cannot?
Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration. Firestore covers Document Model, Real-time Updates, Offline Support, ACID Transactions.
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