Software · head to head
Elasticsearch vs Flock

Elasticsearch
Software
The heart of the Elastic Stack for search and analytics
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Elasticsearch eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements; Flock the Starter plan only makes the most recent 10,000 messages searchable and caps public channels at 10
- They diverge on capability: Elasticsearch covers Full-text Search, Flock covers Team chat.
Where they differ
Only the attributes on which Elasticsearch and Flock actually diverge.
| Attribute | Elasticsearch | Flock |
|---|---|---|
| Pricing model | Unknown | subscription |
| Platforms | Linux, Windows, macOS, Docker, Kubernetes | Web, Windows, Macos, Ios, Android |
| Founded | 2010 | 2014 |
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 Elasticsearch
- Full-text Search
- Real-time Analytics
- Distributed Architecture
- RESTful API
- Schema-free JSON
- Aggregations
- Machine Learning
- Kibana
Only in Flock
- Team chat
- Channels
- Threads
- File sharing
- Polls
- Integrations
- Mobile apps
- Slack
Both cover
- Windows support
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Elasticsearch
- Real-time applicationsnot Flock
- Content managementnot Flock
- User profilesnot Flock
- Mobile backendsnot Flock
- Cachingnot Flock
Flock
- Team messaging with channels, direct messages and file sharingnot Elasticsearch
- Running polls, to-dos and reminders inside a chat workspacenot Elasticsearch
- Video conferencing and screen sharing for small teamsnot Elasticsearch
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Flock
- The Starter plan only makes the most recent 10,000 messages searchable and caps public channels at 10
- Starter storage is 5 GB for the entire team, against 10 GB per member on Pro and 20 GB per member on Enterprise
- Starter allows a single team admin and a single approved domain
- Group video calls and screen sharing require the Pro plan; Starter is limited to 1-1 video calls
- Group video calls are capped at 20 participants even on Enterprise
- Single Sign-On and Active Directory sync are Enterprise only
- Enterprise is quote only, with no published rate, and is positioned for organisations with 100 or more members
- Unlimited auto-join and announcement channels require Enterprise; Starter and Pro get one of each
Pricing, plan by plan
Elasticsearch
Free- Self-ManagedFree
- Open source
- Self-hosted
- Elasticsearch Cloud$16.4/month
- Managed service
- 14-day free trial
Flock
Free- FreeFree
- Unlimited chats
- Channels
- File sharing
- Pro$5/month
- Everything in Free
- Advanced search
- API access
Which should you pick?
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.
Choose Flock if
- You need team chat.
- You want to start without paying.
- You work on Web, Windows, Macos, Ios, Android.
- You also want channels.
Questions people ask
- Is Elasticsearch or Flock better?
- Neither clearly leads. Elasticsearch starts at Free and Flock at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Elasticsearch or Flock?
- Elasticsearch starts at Free and Flock at Free.
- Does Elasticsearch or Flock run on more platforms?
- Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes. Flock runs on Web, Windows, Macos, Ios, Android.
- Can I use Elasticsearch for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Elasticsearch best used for?
- Elasticsearch is most often used for real-time applications, content management, user profiles, mobile backends. Of those, real-time applications and content management are not what Flock is typically brought in for.
- What can Elasticsearch do that Flock cannot?
- Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API. Flock covers Team chat, Channels, Threads, File sharing. Both handle Windows support, 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.
SourceElasticsearch: 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.
SourceElasticsearch: 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.
SourceElasticsearch: 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.
SourceElasticsearch: 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.
SourceRelated pages
More on Elasticsearch
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