Software Editions in CelerData Cloud Serverless

CelerData Cloud Serverless offers two software editions to choose from, ensuring that your usage fits your organization’s specific requirements:

  • CelerData Cloud Serverless Standard Edition
  • CelerData Cloud Serverless Premium Edition

Premium Edition builds on Standard Edition through the addition of edition-specific features and/or higher levels of service. As your organization’s needs to change and grow, changing editions is easy.

When you create an account in CelerData, you need to define the software edition of the account.

Standard Edition

Customer benefits:

  • Provides the compute engine for your data lake at minimum cost
  • Stores in open standard formats
  • Easy to query directly against AWS S3 or AWS Glue
  • One-click migration from Trino, Presto, or Athena
  • Provides a unified query layer to build reports based on multiple data sources

In Standard Edition, CelerData will not provide managed storage volumes for customers, which means that CelerData can be used as a query engine to conduct low-latency interactive analysis of your data lake, but not store data locally within CelerData.

Premium Edition

Customer benefits:

  • Everything included in Standard Edition
  • Higher performance queries for low-latency customer-facing workloads
  • Pipeline-free query acceleration using materialized views for simplified architecture/maintenance
  • Real-time low-latency workloads

In Premium Edition, CelerData provides managed storage for customers, which means data can be stored persistently within CelerData instead of, or in addition to, data in your data lake. So, in this edition, CelerData can be used as a query engine, and also as an analytical database. Import from your data lake into CelerData further accelerates analysis and supports business scenarios with more stringent latency and concurrency requirements.

Feature comparison

FeatureStandard EditionPremium Edition
Integrate with external metastore (AWS Glue or Hive metastore) and query data in external data system (Apache Hudi, Apache Iceberg, Apache Hive, or Deltalake)
Table creation and data processing in external data system (Apache Hudi, Apache Iceberg, Apache Hive, or Deltalake)
Query load isolation based on multi-warehousing
Warehouse compute node scale-in and scale-out
Warehouse auto-suspend
Use local-disk cache to speed up queries
Table creation in CelerData managed storage volumes
Batch data ingestion from cloud storage (customer managed AWS S3) into CelerData managed tables
Integrate with Confluent cloud and routinely load data into CelerData managed tables
Use HTTP Streaming API to push data from local sources into CelerData managed tables
Incrementally load Parquet or ORC files from customer-managed AWS S3 buckets into CelerData managed tables
Accelerate queries and build models with materialized views
Integration with BI tools
Role-based access control
Audit log
Private link
IP address whitelist