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Databases · head to head

Aiven vs Keras

Aiven logo

Aiven

Databases

Fully managed open source data infrastructure cloud

From
Free
Rated
-
Full reviewWebsite
Keras logo

Keras

Machine Learning

Deep learning API for humans

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Aiven the free plan gives 1 VM with 1 CPU, 1 GB RAM and 1 GB storage, and cannot pick a specific cloud or region; Keras limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
  • They diverge on capability: Aiven covers Multi-cloud Support, Keras covers Sequential and Functional API.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Aiven and Keras actually diverge.

Attributes where Aiven and Keras differ
AttributeAivenKeras
Pricing modelusage-basedopen-source
PlatformsWeb, Aws, Azure, Gcp, DoPython, Google Colab, Jupyter
CategoryDatabasesMachine Learning
Founded20162015

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 Aiven

  • Multi-cloud Support
  • Automated Backups
  • Seamless Upgrades
  • VPC Peering
  • End-to-end Encryption
  • Compliance
  • Observability
  • PostgreSQL

Only in Keras

  • Sequential and Functional API
  • Pre-built neural network layers
  • Model training and evaluation
  • Transfer learning
  • Model serialization
  • TensorFlow
  • JAX
  • PyTorch

What people use each for

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

Aiven

  • Running managed open source databases without operating themnot Keras
  • Multi-cloud deployment across AWS, Google Cloud, Azure, DigitalOcean, OVH and UpCloudnot Keras
  • Highly available data services with automatic failovernot Keras
  • Prototyping on a small free instance before scaling upnot Keras

Keras

  • Machine learningnot Aiven
  • Data analysisnot Aiven
  • Model trainingnot Aiven
  • Predictive analyticsnot Aiven

Where each one falls short

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

Aiven

  • The free plan gives 1 VM with 1 CPU, 1 GB RAM and 1 GB storage, and cannot pick a specific cloud or region
  • Free and Developer tiers have no integrations and no connection pooling
  • Connection pooling, database forks and dynamic disk sizing need the Business or Premium plan
  • A 99.99 percent uptime SLA starts at the Startup plan from $75 a month
  • High availability with automatic failover starts at Business from $180 a month

Keras

  • Limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
  • Error messages can be vague and unhelpful, making debugging challenging
  • Smaller ecosystem and fewer pre-trained models than TensorFlow or PyTorch

Pricing, plan by plan

Aiven

Free
  • Free TrialFree
    • $300 credits
    • 30 day trial
    • All services
  • Startup$19/month
    • Single node
    • Basic support
    • Daily backups

Keras

Free
  • Open SourceFree
    • High-level API
    • Pre-built layers
    • Model serialization

Which should you pick?

Choose Aiven if

  • You need multi-cloud support.
  • You want to start without paying.
  • You work on Web, Aws, Azure, Gcp, Do.
  • You also want automated backups.
Aiven review

Choose Keras if

  • You need sequential and functional api.
  • You want to start without paying.
  • You work on Python, Google Colab, Jupyter.
  • You also want pre-built neural network layers.
Keras review

Questions people ask

Is Aiven or Keras better?
Neither clearly leads. Aiven starts at Free and Keras at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Aiven or Keras?
Aiven starts at Free and Keras at Free.
Does Aiven or Keras run on more platforms?
Aiven runs on Web, Aws, Azure, Gcp, Do. Keras runs on Python, Google Colab, Jupyter.
Can I use Aiven for free?
Both have a free tier, so you can try either at no cost before committing.
What is Aiven best used for?
Aiven is most often used for running managed open source databases without operating them, multi-cloud deployment across aws, google cloud, azure, digitalocean, ovh and upcloud, highly available data services with automatic failover, prototyping on a small free instance before scaling up. Of those, running managed open source databases without operating them and multi-cloud deployment across aws, google cloud, azure, digitalocean, ovh and upcloud are not what Keras is typically brought in for.
What can Aiven do that Keras cannot?
Aiven covers Multi-cloud Support, Automated Backups, Seamless Upgrades, VPC Peering. Keras covers Sequential and Functional API, Pre-built neural network layers, Model training and evaluation, Transfer learning.

Answered from the vendors’ own pages

Aiven: What does Aiven's free tier include and does it have any time limit?

The free tier includes PostgreSQL with 1 VM, 1 CPU, 1 GB RAM, and 1 GB storage with access to limited cloud and region selections. There are no time limitations on the free tier, though Aiven reserves the right to shut down accounts that violate policies or remain unused for extended periods.

Source
Keras: What is Keras?

Keras is a high-level deep learning API built on top of TensorFlow that simplifies building and training neural networks. Keras 3 supports multiple backends including TensorFlow, PyTorch, and JAX, making it backend-agnostic.

Source
Aiven: How is Aiven billed and what are the monthly costs for each tier?

Aiven bills services by the hour and invoices monthly, charging only for what you actually run. PostgreSQL pricing starts at 5 dollars per month for Developer, 12 dollars per month for Hobbyist, 75 dollars per month for Startup, 180 dollars per month for Business, and 270 dollars per month for Premium. All paid tiers offer hourly billing options as well.

Source
Keras: What model architectures does Keras support?

Keras supports the Sequential model for linear stacks of layers, the Functional API for arbitrary graph architectures, and model subclassing for custom implementations. All approaches provide access to layers, optimizers, metrics, and callbacks.

Source
Aiven: What backup retention periods are included at different Aiven tiers?

Backup retention increases with tier level: Startup tier provides 2 days of backup retention, Business tier offers 14 days, and Premium tier includes 30 days. Point-in-time restore is available on all paid tiers.

Source
Keras: Can Keras models run on TPUs and GPUs?

Yes, Keras models can run on TPU Pods or large GPU clusters, be exported to run in browsers or on mobile devices, and be served via web APIs.

Source
Aiven: Is high availability included in Aiven pricing or charged separately?

High availability, backups, and routine maintenance are all included in the tier costs with no separate charges. The Business tier includes 2 VMs with automatic failover, and Premium includes 3 VMs with a second standby node.

Source
Keras: Does Keras offer pre-trained models?

Yes, Keras provides pre-trained models through KerasHub and Keras Applications for common deep learning tasks like image classification, object detection, and NLP.

Source
Aiven: Does Aiven offer a trial period to test premium features?

Aiven offers a 30-day free trial to access premium features beyond what the free plan provides.

Source
Keras: Who should use Keras?

Keras is ideal for beginners and rapid prototyping due to its simplicity and user-friendly interface. Advanced users and production deployments may benefit more from lower-level frameworks like TensorFlow or PyTorch for greater customization.

Source
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