Aiven, CockroachDB, and Elasticsearch all come up when engineering teams are architecting their core data infrastructure, but they answer different questions.…
Best for: Engineering teams that want one managed platform to run multiple open-source data stores like Postgres, Kafka, and OpenSearch across clouds without deep operational overhead
Best for: Teams needing a PostgreSQL-compatible, horizontally scalable SQL database that keeps serving reads and writes through node or regional outages
Open Source / Freemium (free self-managed tier plus paid Elastic Cloud subscriptions) · From Free (self-hosted); Elastic Cloud hosted plans start around $95-99/month
Best for: Teams whose primary need is full-text search, log analytics and observability, or vector search for AI and retrieval-augmented generation applications
At a Glance
Aiven
CockroachDB
Elasticsearch
Primary category
Databases
Databases
Databases
Rating
Not documented
Not documented
Not documented
Pricing model
Free plan + usage-based pricing
Freemium / Usage-based
Open Source / Freemium (free self-managed tier plus paid Elastic Cloud subscriptions)
Starting price
Free
Free
Free (self-hosted); Elastic Cloud hosted plans start around $95-99/month
Free plan
Yes
Yes
Yes
Free trial
Yes
Yes
Yes
Platforms
Web
Web
Web
Team collaboration
Not documented
Not documented
Not documented
AI features
Not documented
Not documented
Yes
Public API
Yes
Yes
Yes
Standout Differences
One platform, many open-source engines
Aiven's core value is running multiple open-source data tools, PostgreSQL, MySQL, Kafka, ClickHouse, OpenSearch, and more, under one API, console, and billing relationship across AWS, Google Cloud, Azure, and DigitalOcean.
Aiven
Built-in multi-region survivability
CockroachDB automatically shards, replicates, and rebalances data using Raft consensus, so a cluster can keep serving reads and writes through a node or even a full regional outage while preserving ACID transaction guarantees.
CockroachDB
The deepest search and observability ecosystem
Elasticsearch anchors the broader Elastic Stack (Logstash, Kibana, Beats) and extends into dedicated Elastic Observability and Elastic Security solutions, plus vector search for AI use cases, going well beyond core database functionality.
Elasticsearch
All three offer a genuinely free entry point
Aiven's free tier, CockroachDB's Basic serverless tier that scales to zero, and Elasticsearch's free self-managed license all let teams start testing without paying, though production workloads scale up in cost differently on each.
Aiven, CockroachDB, Elasticsearch
Different licensing philosophies
Elasticsearch returned to a recognized open-source AGPL license in 2024 after a controversial 2021 relicensing; CockroachDB uses a source-available license that charges companies above $10 million in revenue per CPU core for self-hosting; Aiven monetizes managed hosting of open-source engines rather than the engines' own licensing.
Elasticsearch, CockroachDB, Aiven
Feature-by-Feature
Deployment and Architecture
Feature
Aiven
CockroachDB
Elasticsearch
Fully managed cloud hosting
Available
Available
Available
Self-hosted or on-your-own-infrastructure option
Unavailable
Available
Available
Multi-cloud support across AWS, Google Cloud, and Azure
Available
Available
Limited
Primary Workload Fit
Feature
Aiven
CockroachDB
Elasticsearch
Distributed transactional SQL database
Available
Available
Unavailable
Full-text search and analytics engine
Available
Unavailable
Available
Vector search for AI/RAG workloads
Not documented
Available
Available
Pricing and Licensing
Feature
Aiven
CockroachDB
Elasticsearch
Free tier available without a credit card
Available
Available
Available
Pricing Compared
Starting price reflects the lowest paid tier, not the full cost for every team size or usage level.
Self-Hosted — Free under $10M revenue; per-CPU-core fee above annual/custom
Elasticsearch
Self-Managed (Free) — $0 n/a
Elastic Cloud Standard — From ~$95/month monthly
Elastic Cloud Gold — From ~$114/month monthly
Elastic Cloud Platinum — From ~$131/month monthly
Elastic Cloud Enterprise — From ~$184/month monthly
Pros & Cons
Aiven
Pros
Simplifies operating multiple open-source data tools under one platform and billing relationship
True multi-cloud support avoids vendor lock-in to a single cloud provider
Transparent, all-inclusive usage-based pricing without hidden fees
Free tier lets teams test services without a credit card
BYOC option supports strict data residency requirements
Cons
Production-grade high-availability tiers (Business, Premium) get expensive at scale
Free and Developer tiers are limited to single-node deployments with no integrations
Requires familiarity with the underlying open-source tools (Kafka, PostgreSQL, etc.) to get full value
CockroachDB
Pros
Combines full ACID SQL transactions with true horizontal, multi-region scalability
PostgreSQL wire compatibility simplifies migration from existing Postgres applications
Free self-hosted use for companies under $10M annual revenue under the current licensing model
Serverless Basic cloud tier offers a genuinely free entry point with no credit card commitment for small workloads
Cons
Source-available license (not OSI-approved open source) requires payment for self-hosted use above the $10M revenue threshold
Distributed architecture adds operational complexity and latency considerations compared to single-node databases for small workloads
Standard cloud tier was still in preview as of recent releases, indicating some product maturity gaps
Provisioned compute pricing (Standard/Advanced) can be more expensive than simpler managed Postgres offerings for steady, low-scale workloads
Elasticsearch
Pros
Highly scalable, distributed architecture handles massive datasets and high query volumes across industries.
Broad ecosystem of client libraries, plugins, and integrations, backed by a large and active community.
Combined search, observability, and security solutions reduce the need for separate specialized tools.
Return to AGPL licensing in 2024 restored a recognized open-source option after the 2021 SSPL/Elastic License controversy.
Cons
Operating and tuning a production Elasticsearch cluster requires significant expertise in shard management, memory sizing, and node scaling.
Elastic Cloud production costs can scale into the tens of thousands of dollars per month for large or security-focused deployments.
The 2021 relicensing away from Apache 2.0 caused lasting distrust among parts of the open-source community and drove the creation of the competing OpenSearch fork.
Advanced features like machine learning and certain security capabilities remain behind paid subscription tiers rather than the free license.
Use Cases
Choose Aiven: Engineering teams that want one managed platform to run multiple open-source data stores like Postgres, Kafka, and OpenSearch across clouds without deep operational overhead
Choose CockroachDB: Teams needing a PostgreSQL-compatible, horizontally scalable SQL database that keeps serving reads and writes through node or regional outages
Choose Elasticsearch: Teams whose primary need is full-text search, log analytics and observability, or vector search for AI and retrieval-augmented generation applications
Aiven
Event Streaming Pipelines — Running managed Apache Kafka for real-time data pipelines without operating Kafka clusters in-house.
Multi-Cloud Application Backends — Deploying managed PostgreSQL or MySQL databases that need to run consistently across multiple cloud providers.
Regulated Data Residency — Using BYOC to keep managed data services inside a company's own cloud account for compliance.
CockroachDB
Globally distributed transactional applications — Enterprises run mission-critical banking, retail, or media applications that require strong consistency and continuous availability across multiple regions.
PostgreSQL migration for scale — Teams outgrowing single-node PostgreSQL migrate to CockroachDB to gain horizontal scalability while keeping existing drivers and query patterns.
Regulated, data-residency-sensitive workloads — Organizations use geo-partitioning to keep specific customer data within required jurisdictions while running a single logical database.
Elasticsearch
Enterprise and Application Search — Developers embed Elasticsearch to power full-text search, filtering, and relevance-ranked results within websites and applications.
Centralized Log Analytics and Observability — DevOps and SRE teams use the ELK stack to aggregate, search, and visualize logs and metrics across distributed infrastructure.
Security Information and Event Management — Security teams use Elastic Security, built on Elasticsearch, as a SIEM platform for threat detection and incident investigation.
Frequently Asked Questions
Does Aiven offer Elasticsearch as one of its managed services?
Aiven offers managed OpenSearch, the Apache-licensed fork of Elasticsearch created after Elastic's 2021 relicensing, rather than Elasticsearch itself.
Is CockroachDB a drop-in replacement for PostgreSQL?
It's wire-compatible with PostgreSQL, so most standard drivers, ORMs, and tools work as expected, but its distributed architecture and multi-region survivability model are fundamentally different from a single-node Postgres instance.
Which of the three is free to self-host?
Elasticsearch is free to self-manage under its AGPL, SSPL, or Elastic License options. CockroachDB is free to self-host for companies under $10 million in annual revenue, with per-CPU-core fees above that. Aiven isn't something you self-host; it's a managed platform for hosting the underlying open-source engines.
Which is best for AI and retrieval-augmented generation (RAG) workloads?
Both CockroachDB and Elasticsearch offer vector search capabilities, but Elasticsearch has invested more heavily and for longer in dense vector fields and approximate nearest-neighbor search as part of its core positioning as a vector database.
Do Aiven, CockroachDB, and Elasticsearch actually compete head-to-head?
Not directly in most cases. Aiven can host a Postgres or OpenSearch instance that competes with CockroachDB or Elasticsearch on specific dimensions, but the three are typically evaluated as different pieces of a data infrastructure decision rather than as interchangeable alternatives for the exact same job.