SAP Datasphere alternatives

3 tools to consider instead of SAP Datasphere, shown against it.

SAP Datasphere Snowflake Microsoft Fabric Teradata VantageCloud
Vendor SAP SE Snowflake Inc. Microsoft Corporation Teradata Corporation
Pricing model Quote only Usage-based Usage-based Quote only
Free tier No No Yes No
Deployment Cloud Cloud Cloud Cloud
Open source No No No No
Best for SAP-centric enterprises needing governed access to S/4HANA and BW data alongside external sources. Teams wanting a fully managed, multi-cloud SQL warehouse with strong concurrency isolation and native data sharing. Microsoft-centric organizations wanting warehouse, lakehouse, and BI on one capacity and one copy of the data. Large enterprises with complex, high-concurrency SQL workloads who need proven mixed-workload management at scale.
Pricing

Sold in Capacity Unit Blocks covering compute, storage, and integration; SAP's pricing page requires contacting sales or a partner for a quote and did not return published figures when checked.

Pricing has not been verified yet — see the vendor's site.

Billed in per-second Snowflake credits whose price depends on edition (Standard, Enterprise, Business Critical, VPS), plus separate storage charges; a free trial is offered but there is no ongoing free tier.

Standard $2.00 per credit
Enterprise $3.00 per credit
Business Critical $4.00 per credit

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Billed as reserved or pay-as-you-go Fabric capacity units (F2 through F8192+), shared across warehouse, lakehouse, pipeline, and Power BI workloads; a free trial capacity is offered, and 1-/3-year reservations discount the pay-as-you-go rate by roughly 41%.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Priced through a unified Teradata Unit consumption model combining base and on-demand capacity; the pricing page provides a cost calculator and directs prospects to a sales specialist rather than publishing figures.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Features
  • Data virtualization and federation across SAP and non-SAP sources
  • Built on SAP HANA Cloud in-memory engine
  • Business layer semantic modeling shared with SAP Analytics Cloud
  • Prebuilt connectivity to S/4HANA, BW/4HANA, and SAP applications
  • Data cataloging and lineage across connected sources
  • Replication flows for near-real-time data movement
  • Space-based multitenancy for governed, team-level data domains
  • Storage-compute separation with independently scalable virtual warehouses
  • Multi-cluster warehouses for concurrency scaling
  • Snowpark for Python, Java, and Scala pipelines
  • Native cross-account and cross-cloud data sharing
  • Time Travel and Fail-safe for data recovery
  • Automatic query optimization and result caching
  • Semi-structured data support (JSON, Avro, Parquet) via VARIANT
  • Support for external tables over cloud object storage
  • Unified OneLake storage layer built on open Delta Lake tables
  • SQL-based Warehouse item alongside a Spark-based Lakehouse item
  • Shared F-SKU capacity across warehouse, lakehouse, and BI workloads
  • Native Power BI integration with Direct Lake mode
  • Real-Time Intelligence with KQL databases and eventstreams
  • Data Factory-style pipelines and dataflows for ingestion
  • Copilot-assisted data engineering and report authoring
  • Massively parallel processing (MPP) SQL engine tuned for high concurrency
  • VantageCloud Lake (public cloud) and Enterprise (managed private cloud) deployment models
  • Unified Teradata Unit consumption pricing across compute and features
  • In-database machine learning and graph analytics functions
  • Workload management for prioritizing mixed, concurrent queries
  • ClearScape Analytics for in-platform data science
  • Multi-cloud support across AWS, Azure, and Google Cloud

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