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Datazip vs Databricks

Choose Datazip’s current OLake product for self-hosted replication into Apache Iceberg; choose Databricks for a cloud platform that also covers analytics, dashboards, and AI. Datazip’s website now directs visitors to OLake, so the former all-in-one Datazip description should not be treated as a description of its current offering.

Last updated October 24, 2026.

At a glance

Datazip compared with Databricks, one row per dimension
DimensionDatazipDatabricks
Current offeringOLake Go ingestion and OLake Fusion maintenanceData, analytics, and AI platform
DeploymentSelf-hosted in cloud or on-premisesAWS, Azure, and Google Cloud
LicenseOLake Go: Apache 2.0NA
PriceOLake Go: free software; infrastructure costs applyUsage-based, pay as you go
Paid plansNAPay as you go or committed use
Data sourcesEight listed sources, including databases, Kafka, and S3Database, SaaS, event-stream, and cloud-storage connectors
DestinationsApache Iceberg or Parquet on S3Databricks lakehouse
Data processingReplication and Iceberg table maintenanceIngestion, transformation, and orchestration
Built-in BINAAI/BI Dashboards
Machine learningNAModel development and deployment
SupportCommunity channels; custom enterprise support by inquiryTechnical support; contact sales for details
Free-use limitsNAFree Edition: daily quotas and one workspace

Scroll the table sideways to compare each row.

Which should you choose?

Datazip logo

Choose Datazip if

  • Teams replicating source data into Apache Iceberg
  • Organizations that want self-hosted ingestion
  • Engineers seeking an Apache 2.0-licensed ingestion tool
  • Teams maintaining Iceberg tables with OLake Fusion
See Datazip — 20% CASHBACK
Databricks logo

Choose Databricks if

  • Teams combining data engineering, analytics, and AI
  • Organizations deploying on AWS, Azure, or Google Cloud
  • Analysts who need built-in BI dashboards
  • Data scientists building and managing ML applications
See Databricks

The verdict

The deciding factor is scope. OLake is the better fit if your team wants to run an open-source ingestion tool on its own infrastructure and use other tools to query the resulting data. Databricks is the better fit if you want ingestion, processing, BI, and machine learning in one cloud platform. Confirm any legacy Datazip subscription or marketplace deal directly before relying on it; Datazip’s current site does not publish those terms.

Datazip vs Databricks: common questions

Is Datazip still the all-in-one platform described in older listings?
Datazip’s website currently directs visitors to OLake, which it presents as software for data ingestion and Apache Iceberg table maintenance. The current site does not publish the older all-in-one platform’s features or subscription terms.
Does Datazip offer a free option?
Datazip’s current OLake Go product is open source under the Apache 2.0 license and can be self-hosted without a software license fee. You pay for the infrastructure you use.
Is Databricks free?
Databricks offers a no-cost Free Edition for non-commercial learning and experimentation, subject to usage and feature limits. Its business trial includes usage credits valid for 14 days; paid use is available afterward.
Which one can I run on my own infrastructure?
Datazip says OLake can be self-hosted in your cloud or on-premises environment. Databricks offers cloud workspaces on AWS, Azure, and Google Cloud, including configurations with resources in your cloud account.
Which one includes dashboards?
Databricks publishes a built-in AI/BI Dashboards product. Datazip’s current OLake product pages focus on ingestion and Iceberg maintenance and do not publish a built-in BI dashboard offering.
Can OLake and Databricks work together?
Yes. Datazip lists Databricks among the query engines that can read results from OLake’s Iceberg ingestion workflow. Check the relevant catalog and deployment requirements for your setup.
Does the listed Datazip cashback deal apply to OLake?
Datazip’s current OLake website does not publish the older Datazip pricing or the NachoNacho cashback terms. Confirm deal eligibility and the product covered with the seller before subscribing.