Softwr

CRM & Sales · head to head

Apollo.io vs Elasticsearch

Apollo.io logo

Apollo.io

CRM & Sales

Revenue intelligence platform

From
Free
Rated
-
Elasticsearch logo

Elasticsearch

Database & Data Management

The heart of the Elastic Stack for search and analytics

From
Free
Rated
-

The short version

  • Each has a real cost: Apollo.io everything is metered in credits, and the free Starter plan runs on them too, so prospecting volume is capped rather than the feature set; Elasticsearch eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements
  • They diverge on capability: Apollo.io covers Contact database, Elasticsearch covers Full-text Search.

Where they differ

Only the attributes on which Apollo.io and Elasticsearch actually diverge.

Attributes where Apollo.io and Elasticsearch differ
AttributeApollo.ioElasticsearch
Pricing modelsubscriptionUnknown
PlatformsWebLinux, Windows, macOS, Docker, Kubernetes
CategoryCRM & SalesDatabase & Data Management
Founded20202010

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

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 Apollo.io

  • Contact database
  • Email finder
  • Lead search
  • Automation
  • Engagement tracking
  • Reporting
  • Salesforce
  • HubSpot

Only in Elasticsearch

  • Full-text Search
  • Real-time Analytics
  • Distributed Architecture
  • RESTful API
  • Schema-free JSON
  • Aggregations
  • Machine Learning
  • Kibana

Both cover

  • Web support

What people use each for

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

Apollo.io

  • Lead generationnot Elasticsearch
  • Prospect researchnot Elasticsearch
  • Sales automationnot Elasticsearch

Elasticsearch

  • Real-time applicationsnot Apollo.io
  • Content managementnot Apollo.io
  • User profilesnot Apollo.io
  • Mobile backendsnot Apollo.io
  • Cachingnot Apollo.io

Where each one falls short

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

Apollo.io

  • Everything is metered in credits, and the free Starter plan runs on them too, so prospecting volume is capped rather than the feature set
  • Plans described as unlimited are capped in the fair use policy at 10,000 credits a month for non-paying accounts
  • Connecting a mailbox that is not Gmail or Microsoft requires a paid plan
  • How many records can be selected at once varies by tier
  • Running out of credits means buying more rather than waiting for a reset

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

Apollo.io

Free
  • FreeFree
    • Basic contact search
    • Limited searches
  • Starter$49/month
    • Everything in Free
    • Advanced search
    • Email finder
  • Professional$149/month
    • Everything in Starter
    • Automation
    • Advanced analytics

Elasticsearch

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

Which should you pick?

Choose Apollo.io if

  • You need contact database.
  • You want to start without paying.
  • You also want email finder.

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 real-time analytics.

Questions people ask

Is Apollo.io or Elasticsearch better?
Neither clearly leads. Apollo.io 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, Apollo.io or Elasticsearch?
Apollo.io starts at Free and Elasticsearch at Free.
Does Apollo.io or Elasticsearch run on more platforms?
Apollo.io runs on Web. Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes.
Can I use Apollo.io for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apollo.io best used for?
Apollo.io is most often used for lead generation, prospect research, sales automation. Of those, lead generation and prospect research are not what Elasticsearch is typically brought in for.
What can Apollo.io do that Elasticsearch cannot?
Apollo.io covers Contact database, Email finder, Lead search, Automation. Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API. Both handle Web support.

Answered from the vendors’ own pages

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
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

Related pages

Other head to heads