Pricing
Elastic Cloud Serverless
Build powerful search experiences, monitor cloud native environments with ease, and enhance security with AI-driven analytics. Enjoy simplified APIs, workload-based autoscaling, and no infrastructure management hassle. Get started quickly and pay only for what you use.
Elasticsearch Serverless pricing components
Elasticsearch Serverless charges separately for compute resources scaled to your workloads and storage. Compute resources are measured in Virtual Compute Units (VCUs). One VCU contains 1GB of RAM and corresponding compute resources. Storage is measured in GB.
Base cost
Hourly minimum compute resources include 4 Ingest VCUs and 8 Search VCUs. Larger workloads may require additional VCUs. See VCU pricing table below for more information.
Ingest
Ingest VCUs are compute resources that index data into the Search AI Lake. Ingest VCUs are automatically scaled to accommodate your ingest workloads. Elasticsearch Serverless maintains minimum Ingest VCUs over time to ensure constant availability for ingestion.
Search
Search VCUs are compute resources that handle search queries against data in the Search AI Lake by API calls and Kibana. Search VCUs are automatically scaled based on data size to cache data from persistent storage locally and support low latency searches.
Machine learning
ML VCUs are compute resources that handle Inference and ELSER workloads as well as other machine learning jobs in Elasticsearch Serverless. ML VCUs are automatically scaled based on workloads such as trained models and machine learning jobs and do not incur costs if these processes and models are not deployed.
Storage & retention
Elasticsearch Serverless uses object stores for persistent storage in the Search AI Lake. All data, regardless of type, recency, and frequency of use, is accessible from the Search AI Lake. The size of the Search AI Lake can be controlled with manual or managed data retention policies.
Data transfer
Data ingress into Elasticsearch Serverless is free of charge. Data egress from Elasticsearch to the internet is billable in GBs, with a free allowance to start.
Pricing details
General purposeBest for general search use cases across various data types. Try for freeBase cost
$1.28 Per hour
Base cost Hourly minimum compute resources* Ingest
$0.14 Per VCU-hour
Ingest VCUs for indexing data Search
$0.09 Per VCU-hour
Search VCUs for querying data ML
$0.07 Per VCU-hour
ML VCUs for trained models and ML jobs Storage
$0.047 Per GB-month
Persistent storage in Search AI Lake Egress
Free duringData transfer out of project technical preview period |
Vector searchBest for semantic search use cases using vectors with near-real-time retrieval. Try for freeBase cost
$1.28 Per hour
Base cost Hourly minimum compute resources* Ingest
$0.14 Per VCU-hour
Ingest VCUs for indexing data Search
$0.09 Per VCU-hour
Search VCUs for querying data ML
$0.07 Per VCU-hour
ML VCUs for trained models and ML jobs Storage
$0.047 Per GB-month
Persistent storage in Search AI Lake Egress
Free duringData transfer out of project technical preview period |
Time seriesBest for retention and analysis of high volume time series data, such as logs of other data streams. Base cost
Coming soon
Base cost Hourly minimum compute resources* Ingest
Coming soon
Ingest VCUs for indexing data Search
Coming soon
Search VCUs for querying data ML
Coming soon
ML VCUs for trained models and ML jobs (Per VCU-hour) Storage
Coming soon
Persistent storage in Search AI Lake (Per GB-month) Egress
Coming soon
Data transfer out of project |
|
| Base costBase cost Hourly minimum compute resources* | $1.28 Per hour |
$1.28 Per hour |
Coming soon |
| IngestIngest VCUs for indexing data | $0.14 Per VCU-hour |
$0.14 Per VCU-hour |
Coming soon |
| SearchSearch VCUs for querying data | $0.09 Per VCU-hour |
$0.09 Per VCU-hour |
Coming soon |
| MLML VCUs for trained models and ML jobs | $0.07 Per VCU-hour |
$0.07 Per VCU-hour |
Coming soon |
| StoragePersistent storage in Search AI Lake | $0.047 Per GB-month |
$0.047 Per GB-month |
Coming soon |
| Egress(Data transfer out of project) | Free during technical preview period |
Free during technical preview period |
Coming soon |
Support package
Limited support is included with a Standard subscription; all other support pricing is based on the percentage of your consumption. For more information on what's included in each support level, please go to elastic.co/support.
| Elastic Cloud organization subscription level* | Standard | Gold | Platinum | Enterprise |
|---|---|---|---|---|
| Support and total bill | ||||
| Support level | Limited | Base | Enhanced | Premium |
| % of charge | Included | 5% | 10% | 15% |
*Subscription level is selected during sign up
The same Elasticsearch, just easier
Frequently asked questions
Serverless projects use the core components of the Elastic Stack, such as Elasticsearch and Kibana, and are based on Elastic’s Search AI Lake architecture that decouples compute and storage. Search and indexing operations are separated, which offers flexibility for scaling your workloads while ensuring a high level of performance.
Enjoy the following benefits with Elasticsearch Serverless:
- Management free. Elastic manages the underlying Elastic cluster, so you can focus on your data. With serverless projects, Elastic is responsible for automatic upgrades, data backups, and business continuity.
- Autoscaled. To meet your performance requirements, the system automatically adjusts to your workloads.
- Optimized data storage. Your data is stored in the Search Lake of your project, which serves as a cost-efficient and performant storage. A high performance layer is available on top of the Search Lake for your most queried data.
- Pay per usage. Pay for ingest, search, and ML resources separately as needed by the workloads you run.
Elastic Cloud is a powerful platform that accommodates many computing needs. Serverless is a simplified deployment that is fully managed and flexibly autoscaled, and it provides dedicated project types for use cases — this is what sets Elasticsearch Serverless apart from Elastic Cloud Hosted today.
Elasticsearch Serverless is currently available for technical preview, and is not recommended for production, business critical workloads. Additionally, we recommend checking the documentation for technical compatibility such as security, compliance, and availability.
It's simple to get started on Elasticsearch Serverless:
- Create Elasticsearch Serverless projects in the Cloud Console
- Choose the use case-optimized project type that is most fitting for your needs
We recommend sending data directly from your application or using Connector clients. For sending data in an existing Elasticsearch instance, we recommend using Logstash to migrate large volumes.
- Minimum Ingest VCUs: Elasticsearch Serverless maintains minimum Ingest VCUs over time to ensure constant availability for ingestion, sized at 4 VCUs per hour.
- Minimum Search VCUs: Elasticsearch Serverless maintains minimum Search VCUs over time to ensure data cache from persistent storage locally and support low latency searches, sized at 8 VCUs per hour.
*Minimum Ingest and Search VCUs are billed at regular prices per VCU hour. Include an estimated cost of 1.28 ECU per hour. See pricing details.
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