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Software · head to head

Elasticsearch vs Vectr

Elasticsearch logo

Elasticsearch

Software

The heart of the Elastic Stack for search and analytics

From
Free
Rated
-
Full reviewWebsite
Vectr logo

Vectr

Software

Free vector graphics editor for everyone

From
Free
Rated
-
Full reviewWebsite

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; Vectr performance issues: slowness during edits is a recurring complaint, especially problematic for complex designs
  • They diverge on capability: Elasticsearch covers Full-text Search, Vectr covers Vector drawing.

Where they differ

Only the attributes on which Elasticsearch and Vectr actually diverge.

Attributes where Elasticsearch and Vectr differ
AttributeElasticsearchVectr
PlatformsLinux, Windows, macOS, Docker, KubernetesWeb, Windows, macOS, Linux, Chromebook
Founded20102014

Identical on both: starting price (Free), pricing model (Unknown), 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 Vectr

  • Vector drawing
  • Shape tools
  • Typography
  • Gradient tools
  • Real-time collaboration
  • Cloud storage
  • Export options
  • Simple interface

Both cover

  • Linux support
  • Windows support
  • Web support

What people use each for

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

Elasticsearch

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

Vectr

  • Logo designnot Elasticsearch
  • Vector illustrationnot Elasticsearch
  • Web graphicsnot Elasticsearch
  • Learning designnot 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

Vectr

  • Performance issues: slowness during edits is a recurring complaint, especially problematic for complex designs
  • Limited advanced features: lacks some features available in paid tools like Adobe Illustrator including complex shape manipulation
  • Internet dependency: requires constant internet connection with no offline capabilities limiting use in unreliable connectivity areas
  • Limited export options: fewer export formats compared to other vector graphics software
  • Limited integration: does not offer seamless integration with other design tools and lacks third-party extension support

Pricing, plan by plan

Elasticsearch

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

Vectr

Free
  • FreeFree
    • 1GB storage
    • Basic tools
    • Limited AI credits
  • Plus$1.99/month
    • 1GB storage
    • 600 AI credits
    • Single-session access
  • Premium$4.99/month
    • 5GB storage
    • 2,400 AI credits
    • Three concurrent sessions

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.
Elasticsearch review

Choose Vectr if

  • You need vector drawing.
  • You want to start without paying.
  • You work on Web, Windows, macOS, Linux, Chromebook.
  • You also want shape tools.
Vectr review

Questions people ask

Is Elasticsearch or Vectr better?
Neither clearly leads. Elasticsearch starts at Free and Vectr at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Elasticsearch or Vectr?
Elasticsearch starts at Free and Vectr at Free.
Does Elasticsearch or Vectr run on more platforms?
Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes. Vectr runs on Web, Windows, macOS, Linux, Chromebook.
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 Vectr is typically brought in for.
What can Elasticsearch do that Vectr cannot?
Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API. Vectr covers Vector drawing, Shape tools, Typography, Gradient tools. Both handle Linux support, 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.

Source
Vectr: Is Vectr free to use?

Vectr offers a free plan with 1GB storage, basic tools, and limited AI credits for essential vector editing. Paid Plus and Premium plans provide additional storage, AI credits, and concurrent sessions.

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
Vectr: Can you collaborate in real-time with Vectr?

Yes, Vectr features built-in real-time collaboration with live workspace sharing through custom URLs and integrated chat for team communication, enabling distributed creative teamwork.

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
Vectr: Does Vectr require an internet connection?

Yes, Vectr requires constant internet connection as it is cloud-based. It does not have offline capabilities, which can be limiting for users in areas with unreliable connectivity.

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
Vectr: What file formats can you export from Vectr?

Vectr supports exporting in SVG, PNG, JPG, and Vectr SVG formats. Compared to other vector graphics software, export options are somewhat limited.

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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