Softwr

Software · head to head

Apache Druid vs Productive

Apache Druid logo

Apache Druid

Software

Real-time analytics database for sub-second OLAP queries

From
Free
Rated
-
Full reviewWebsite
Productive logo

Productive

Software

Run projects, budgets and resources in one place

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Apache Druid has a free tier, so it costs nothing to try first.
  • Each has a real cost: Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features; Productive essential plan is capped at 5 account-level custom fields and 1 CRM pipeline versus 15 fields and 3 pipelines on Professional

Where they differ

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

Attributes where Apache Druid and Productive differ
AttributeApache DruidProductive
Starting priceFreeOn request
Pricing modelopen-sourcequote
Free tierYesNo
PlatformsDocker, Kubernetes, Native deployment (Java-based)Web
Founded1999Unknown

Identical on both: 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 Apache Druid

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

Only in Productive

Nothing recorded that Apache Druid does not also cover.

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 Productive
  • Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not Productive
  • Time-series and event analysis at massive scale with columnar storage efficiencynot Productive

Productive

No use cases recorded yet. See the Productive review.

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

Productive

  • Essential plan is capped at 5 account-level custom fields and 1 CRM pipeline versus 15 fields and 3 pipelines on Professional
  • Ultimate tier for complex organizations is quote-only, listed as Let's talk with no published price

Pricing, plan by plan

Apache Druid

Free

No published plan breakdown. See the Apache Druid review.

Productive

On request

No published plan breakdown. See the Productive review.

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 Productive if

Nothing in the data separates Productive from Apache Druid on the points above - pick on price and on how each one feels to use.

Productive review

Questions people ask

Is Apache Druid or Productive better?
Neither clearly leads. Apache Druid starts at Free and Productive at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Druid or Productive?
Apache Druid has a free tier; the other does not. Paid plans start at Free for Apache Druid and On request for Productive.
Does Apache Druid or Productive run on more platforms?
Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). Productive runs on Web.
Can I use Apache Druid for free?
Yes. Apache Druid has a free tier, so you can try it without paying. Productive starts at On request.
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 Productive is typically brought in for.
What can Apache Druid do that Productive cannot?
Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration.
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on Apache Druid

More on Productive

Keep looking

Other head to heads