HPCC Systems
7.5#1 in data lake softwareFree planFree planWebAPIExtensionLinux
VisitHPCC Systems vs lakeFS
What both publish
| Fact | HPCC Systems | lakeFS |
|---|---|---|
| Founded | 2000 | 2020 |
| Integrations | Official integrations include Spark, Kafka, Couchbase, Redis, Memcached, Pentaho, R, JDBC, Java APIs and Tableau data connectors. | The integrations documentation lists tools including Spark, Trino, DuckDB, Databricks, MLflow, SageMaker, Vertex AI, Kubeflow, Airflow, and Airbyte. |
| Purpose | HPCC Systems is an open-source, data-intensive supercomputing platform for enterprise big-data problems. | lakeFS provides governed access to petabyte-scale multimodal data and records data changes for auditability. |
| Storage | The cloud-native storage plane supports AWS S3, Azure Blob Storage, AWS Elastic Block Store, Azure Files and Azure Disks. | lakeFS supports AWS S3, Azure Blob, Google Cloud Storage, and on-premises object stores such as MinIO. |
HPCC Systems plans
- Community EditionFree
- Open sourceFree
- Enterprise subscriptionPriced on request
lakeFS plans
- lakeFS EnterprisePriced on request
Pick HPCC Systems if…
HPCC Systems suits organizations building data lakes or processing large, mixed-schema datasets that can manage a self-hosted platform. It may also fit teams that need parallel processing, query interfaces, or ECL-accessible machine-learning algorithms.
Pick lakeFS if…
lakeFS is aimed at data engineers, data scientists, ML engineers, and ML platform teams managing governed data workflows. It also describes use for agentic AI initiatives.