Alluxio Enterprise vs Open Source
Choose the right edition based on your needs
There are several key differences between the enterprise versions of Alluxio and the open source community edition. These differences are across performance, scalability, architecture design, features, deployment options and support.
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Enterprise AI and Enterprise DA
Alluxio Enterprise AI is designed to accelerate model training and serving, with intelligent caching tailored to I/O patterns of AI. Enterprise AI also provides efficient data loading to eliminate data replication, and maximizes the ROI of your AI platform by enabling up to 90% GPU utilization.
Alluxio Enterprise Data accelerates SQL queries, provides a unified data access point, and enables up to 70% in cloud savings. No need to copy data or rewrite your applications. You can spin up compute wherever it’s most cost-effective, enabling true multi-cloud freedom.
Alluxio Community Edition is available for free without support and only recommended for test, dev, and small scale production environments.
Performance & Scalability
Enterprise AI
Enterprise DA
Community Edition
DORA Decentralized Object Repository Architecture
An advanced architecture for metadata and cache management that allows your existing platform to handle up to 100 billion objects.Also provides RESTful API for Python-based applications to interact with storage easily at high speed.
Object Store Performance Enhancements
Alluxio caches both data and metadata for underlying storage systems to provide lower latency (up to 10x) and higher throughput. Learn more
Cloud Storage Operation Cost Reduction
Reduce the number of operations to underlying cloud storage and eliminate associated charges. Learn more
Analytics & ML Boost
Data access patterns for large scale analytics & AI/ML training workloads vary, with data either stored in some large structured files or many small semi-structured/unstructured files.This feature intelligently identifies optimizations for a specific workload dynamically to tune the system for optimal performance based on the split between read & write operations, file sizes, file types, number of files, etc.
Cross Cluster Synchronization (Preview)
This feature allows multiple Alluxio clusters to mount the same (or intersecting) UFS path and keep files synchronized across the clusters. For example, assume there are two Alluxio clusters called C1 and C2. Both clusters mount the S3 bucket s3://my-bucket/ to the folder /mnt in Alluxio. Now when cluster C1 modifies a file on path /mnt the modification will also be visible on cluster C2. Learn More
Performance Comparison
numjobs
Enterprise Edition
Community Edition
FIO Hot Read Sequential Read Performance (direct = 1, bs=256k filesize=100G)
1
2.0 GiB/s
0.6 GiB/s
2
4.3 GiB/s
1.1 GiB/s
4
7.2 GiB/s
2.3 GiB/s
8
7.4 GiB/s
4.5 GiB/s
16
8.1 GiB/s
7.9 GiB/s
32
8.0 GiB/s
8.8 GiB/s
64
8.1GiB/s
NA
FIO Hot Read Random Read Performance (direct = 1, bs=256k filesize=100G)
1
0.1 GiB/s
10.04 GiB/s
2
0.3 GiB/s
0.1 GiB/s
4
0.8 GiB/s
0.1 GiB/s
8
2.1 GiB/s
0.2 GiB/s
16
4.2 GiB/s
0.4 GiB/s
32
7.3 GiB/s
0.3 GiB/s
64
7.4 GiB/s
NA
*N/A: Due to some reasons, the FIO command reports an error
* Benchmark versions and tools
- Alluxio AI
- Libfuse + Linux
- FIO
* Latest Enterprise Edition: AI-3.1 version
* Latest community version: version 2.9.3
* Latest community version: version 2.9.3
* Benchmark environment
- 1 FUSE + 1 Worker (Access worker remotely via FUSE)
- FUSE：AWS c5n.metal - Worker：AWS i3en.metal
Product Support & Services
Enterprise AI
Enterprise DA
Community Edition
24×7 Support
Emergency Patching
Professional Services – Health Check
Services and Best Practices
DevOps Capabilities
Enterprise AI
Enterprise DA
Community Edition
Transparent integration and URIs
Integrate Alluxio into the big data stack without any changes to the location metadata of the Hive Metastore. For example, when use S3, the code path stays as s3:// instead of alluxio:// so that client code or table definition doesn’t need to change. Learn more
Auto-mounting of buckets
Automatically mount folders that don’t exist in Alluxio space without any administrative intervention to simplify operations. With this, admin doesn’t have to manually identify and mount the buckets. Learn more
Enterprise Security & Compliance
Enterprise AI
Enterprise DA
Community Edition
Security audit logging
An audit log of data accesses including the time, user, operation, and success/failure. Learn more
In-Alluxio Kerberos Authentication
Authenticate users through Kerberos to validate identity, so that unauthenticated user cannot access Alluxio. Learn more
S3 Third Party Authentication
By adopting the open authentication protocol for S3 API, user identities will be verified before their requests are processed. User now can leverage SSO system, and provide token to Alluxio to be authenticated and passed onto authorization agent. Learn more
Ranger / OPA for Authorization
Encryption at Rest
Ensures the data is encrypted when on disk, so that attacker cannot access unencrypted data even if they get hold of the disk. Learn more
Transport Layer Security (TLS)
TLS 1.2 support for communication between all the Alluxio components (client, master, worker, job master, and job worker) as well as between Alluxio and the under store. When this enabled, attacker cannot intercept a communication and read unencrypted data. Learn more
Data Management
Enterprise AI
Enterprise DA
Community Edition
Global Unified Namespace
Abstraction that allows applications to access multiple independent storage systems through the same namespace and interface. Learn more
In-Alluxio Intelligent Tiered Store
Manage storage resources with media-aware tiering policies across memory, SSD and HDD within Alluxio. Learn more
Cluster-wide Data Replication
Replicate data to any supported data store to support HA or other operational needs. Learn more
Policy-Based Data Management
Define policies based on date created, updated or accessed and move or migrate data across external storage systems online. One example could be: HDFS to S3 data migration. For example, one can set policy to archive data > 30 days old or haven’t been accessed to to S3, and leave data < 30 days old stays at the default location, while access URI is the same. Learn more
Deployment
Enterprise AI
Enterprise DA
Community Edition
Deploy Alluxio on Kubernetes with Operator
This feature allows user to manage the Alluxio clusters through Alluxio operator. For example, user can deploy the Alluxio cluster with Alluxio operator and understand the resource consumption with consumption report. Learn More