SAP IQ can support selected SAP Information Lifecycle Management and data-archiving architectures, but it is not a required component of SAP ILM and it is not automatically the best storage choice for every landscape. Its fit depends on the required SAP release, licensed options, archive-access pattern, operational skills and long-term platform strategy.

What role can SAP IQ play?

Official SAP documentation describes two roles that are related but technically different:

  • Database for ILM Store: ILM Store can retain archive files and their indexes in an SAP database, including SAP IQ or SAP HANA, through a WebDAV-based interface. It is an SAP-managed alternative to a compatible third-party WebDAV store, not the only supported retention architecture.
  • Secondary database for archive infostructures: where the relevant SAP release and function support it, Archive Information System (AS) structure tables can be placed on SAP IQ instead of the application system’s standard database. Those structures are indexes used to find and display archived data; they are not the ADK archive files themselves.

An organization may use either role, both roles or neither. Treat them as separate design decisions with separate capacity, recovery and access requirements.

Reference architecture

In an ILM Store design, the source SAP system creates archive files using the applicable archiving and ILM processes. SAP ILM Retention Management supplies lifecycle information such as minimum and maximum retention dates and legal holds. The ILM Store service exposes the supported storage interface and persists content and indexes in the configured storage layer. SAP documentation also describes alternatives including SAP HANA, file-system or Hadoop storage, Microsoft Azure Blob storage and ILM-compliant third-party stores, depending on the applicable product version and design.

In the secondary-database design, the Archive Retrieval Configurator creates an archive infostructure whose table resides in IQ through a configured database connection. Archive Explorer and supported application reporting use that index to locate archived objects. The actual archive remains in its designated content store. For broader access patterns, see reporting from historical data.

Prerequisites must be verified for the target release

SAP’s current ILM Store configuration documentation lists prerequisites that include the relevant SAP_BASIS level, activated ILM and ILM Store business functions, a supported database and database connection. For an IQ-backed ILM Store, SAP identifies SAP IQ Enterprise Edition and calls out the unstructured data analytics option (IQ_UDA) and the ENABLE_LOB_VARIABLES setting. The Storage and Retention Service, ICF services, authorizations and applicable SAP Notes also form part of the implementation.

For an Archive Information System secondary database, SAP documents a licensed IQ Enterprise Edition system, an activated ILM business function, the required database connection and suitable administrative authorizations. Connection changes for an already active infostructure can require deactivation, deletion and recreation of its generated artifacts. Do not generalize prerequisites from one SAP release to another: confirm the current product availability matrix, installation guide, notes and licensing terms for the exact landscape.

Use cases where IQ may be a good fit

  • A large archive-index footprint is placing avoidable capacity or query load on the transactional database.
  • Users need frequent, selective searches across sizable archive infostructures using supported SAP access paths.
  • The organization already operates SAP IQ—for example, for a supported BW near-line storage scenario—and can responsibly share infrastructure while maintaining workload isolation.
  • An SAP-contained, database-backed ILM Store is preferred and IQ aligns with the organization’s existing licensing, platform and support model.
  • Long-running historical workloads justify a column-oriented analytical database and the team can meet its operational obligations.

IQ is less compelling when archive access is rare, indexes are small, the platform would be introduced only for this workload, or a simpler supported store satisfies retention and retrieval needs.

Reporting expectations

Moving archive infostructures to IQ may relieve the source database and improve supported archive searches, but it does not turn every archived field into an unrestricted analytics model. Available fields depend on the archiving object, field catalog and infostructure design. Some reports read archive files directly; others require application-specific support. Before selection, prototype the business questions, response-time targets, concurrent users and authorization behavior with representative volumes.

For system retirement, decide whether users need SAP-style archive retrieval or a broader independent historical application. An IQ-backed store alone does not remove all dependencies on the original application. See SAP ILM Retention Warehouse for system decommissioning.

Sizing and operations

Size from measurements, not a generic compression claim. Model archive-file inflow, index growth, retention periods, legal-hold extensions, reloads, temporary space, concurrent retrieval, backup staging and expected annual growth. ILM Store content and secondary infostructures have different growth drivers and should be forecast separately.

SAP publishes an IQ hardware sizing guide, but its figures are general guidelines and must be validated against the workload. Establish monitoring for dbspace consumption, load failures, connection health, query performance, logs and backup status. Document patching, high availability, disaster recovery, restore testing and ownership across the SAP Basis, database, storage and records teams. SAP’s IQ backup documentation identifies the catalog store, transaction log, main-store dbspaces and related files that must be protected; a successful backup job is not evidence of a recoverable service until restore tests pass.

Lifecycle and security controls

The architecture must preserve retention rules, legal holds, authorized destruction and an evidentiary audit trail. Test the complete chain: creation, transfer, storage, search, display, hold, expiration and destruction. Reconcile archive objects and indexes so that an index cannot suggest availability when underlying content is missing.

Apply least privilege to database, service and administrative accounts; segregate operators from policy approvers; protect credentials and certificates; and restrict network paths. SAP IQ supports TLS and database or column encryption, while some capabilities can require separately licensed options. Backups are not encrypted by default, so backup encryption, key custody and media access must be explicit decisions. Align these measures with the wider historical-data security model.

Decision criteria and alternatives

QuestionWhat to establish
Which IQ role is proposed?ILM Store content, archive infostructures, or both.
Is it supported?Exact source release, SAP_BASIS level, database version, options, notes and licenses.
What access is required?Transactions, Archive Explorer, audit retrieval, operational reports or independent analytics.
What is the operating case?Measured volume, concurrency, recovery objectives, skills and total lifecycle cost.
What is the exit path?Retention completion, destruction, migration and platform retirement responsibilities.

Compare IQ with the standard SAP database, SAP HANA-backed ILM Store, supported file or object-storage configurations, an ILM-compliant third-party WebDAV store, and an independent historical-data platform where decommissioning or cross-application access is the primary goal. The right comparison is end-to-end capability and cost—not storage price alone. Review on-premise and cloud storage choices or begin with an application assessment.

Official SAP references

Practical conclusion: SAP IQ remains a documented option for specific ILM Store and archive-index scenarios. Select it only after validating support, workload value, lifecycle controls and the full operating model against current alternatives.