Every page answers the same nine questions for the vendor and for Lima master data, from the vendor's own pages and documentation checked on September 17, 2026, and says when the vendor is the better choice.
| Question | Lima master data |
|---|---|
| Where the master data lives | Golden records are governed views over the sources, read in place through the federated engine, and materialised only where latency needs it, in your lake, under the same keys. The transactions sit in the same bed, so a merged customer and its orders change together. |
| Reaching SAP, Oracle and the lakes | SAP S/4HANA and ECC through released read interfaces and change capture; Oracle Fusion through REST and BI Cloud Connector extracts, E-Business Suite through JDBC and open interfaces; Snowflake, Databricks and Fabric read in place; Salesforce, ServiceNow and Workday through their APIs. Write-back through BAPIs, IDocs, REST and web services, acknowledged and logged. |
| Golden record: matching and survivorship | Strong keys first (VAT ID, DUNS, GTIN, manufacturer part number), then standardised attribute and address matching, with a language model for the hard pairs; two thresholds per rule (review, merge); survivorship per field by source rank, recency, verification and steward override; unmerge restores the sources; every value keeps its source, rule and time. |
| Hierarchies and reference data | Levels and several hierarchies per entity, kept as versions with validity dates and validated against the facts they aggregate; reference data and crosswalks kept as small domains with the same history, rules and security. |
| Rules, security and audit | Column, row and business rules in one language, evaluated on save and on demand, including rules over aggregates and across tables; twelve security layers for read, write and delete; an append-only audit trail with point-in-time reads and logged reads of sensitive columns. |
| APIs and data services | REST, SOAP, SQL (JDBC and ODBC), events and an agent endpoint over one policy engine; the golden-record lookup answers with the record, the cross-reference and live related facts; page sizes and rate limits published per endpoint. |
| Analytics: pivots, measures, transactions | Pivots on any hierarchy level with time on the columns and measures in the cells; calculated measures; data entry with disaggregation by weights, equal shares or a time profile; drill-down from a cell to the transactions and to the source row; charts beside grids; natural-language and SQL querying. |
| Pricing unit and trial | Platform capacity tiers (32C to 128C); domains, records, attributes and users included; the price is written before the work starts; a guided first domain on your data in one day; the showcase estate for demonstrations; a self-service sandbox tier is a decision pending (see the review notes). |
| Analyst placements 2025–26 | Analyst evaluation is the purpose of this page set; placements to date: none. The platform pages are organised on Gartner's eight mandatory features and four implementation styles so a briefing lands in the right market. |
The 2026 Gartner Magic Quadrant Leaders first, then Challengers, Visionaries and Niche Players, then the free incumbent.
Informatica's MDM SaaS runs on the Intelligent Data Management Cloud with 360 applications for customer, product, supplier, finance and reference data.
Nine questions →Reltio is a cloud-native multidomain MDM built on a graph of entities, relationships and interactions, sold as the Reltio Data Cloud with the AgentFlow agents.
Nine questions →Profisee is an independent multidomain MDM platform aligned with the Microsoft ecosystem, available as SaaS, PaaS, IaaS, hybrid or on-premises, with the Aisey assistant and agents and an MCP server.
Nine questions →Semarchy's Data Platform (formerly xDM, xDI and xDG) is an independent MDM whose hub lives in a customer-owned PostgreSQL, Oracle or SQL Server database, with SemQL for matching, rules and security, and a 30-day trial.
Nine questions →Stibo Systems' STEP is a multidomain platform with its roots in product information management, delivered as multi-tenant SaaS on Azure, with ProductGen AI, machine-learning match recommendations and an MCP server launched on June 29, 2026.
Nine questions →EBX is the model-driven, multidomain platform for master, reference and metadata that Orchestra Networks built, TIBCO acquired in 2018 and Cloud Software Group carved out as the autonomous unit 'ON EBX' on March 26, 2026.
Nine questions →SAP Master Data Governance runs inside S/4HANA (and as a cloud edition on BTP) with central governance, consolidation and mass processing.
Nine questions →Oracle's master data capabilities are split across Fusion Cloud.
Nine questions →Ataccama ONE is a data-quality-led platform with an MDM module, a catalogue, lineage and observability, and the ONE AI Agent.
Nine questions →Boomi DataHub is the master-data hub inside the Boomi integration platform.
Nine questions →IBM's master data line spans InfoSphere MDM (on-premises, 11.6 on a five-plus-three support policy) and the cloud-native Match 360, renamed IBM Master Data Management v5.3 on December 10, 2025, on Cloud Pak for Data and IBM Cloud.
Nine questions →CluedIn is a graph-native 'agentic data management platform' with schemaless ingestion, golden records as projections over per-source data parts, seven named agents, a public price list and a 60-second deployment with 15,000 free records.
Nine questions →Tamr is an 'AI-native' mastering product: a model trained on expert-labelled pairs clusters records, match and split rules refine the clusters, consolidation rules build golden records, and pricing is per golden record (Tamr ID).
Nine questions →Master Data Services is the master-data feature that shipped free with SQL Server and that many mid-market teams started on.
Nine questions →Facts come from the vendor's product pages, documentation, release notes, marketplace listings and press releases, with a numbered source per cell and the date it was checked; review-site figures are labelled as review sites; items the research could confirm only from third parties are left out or marked. Vendor cells describe; Lima's cells describe; no adjectives are used for either. Each page ends with the situations in which the vendor is the better choice. Facts change: re-check the sources at each review and re-date the page.
Buyers and analysts read the whole quadrant; a complete set shows where Lima sits in the market's terms.
Each is tied to a dated source; unconfirmed items are excluded. Legal review before publication is in the review notes.
They are named on the analytics question where relevant: pivots and disaggregation live there today, and Lima adds the golden record underneath.
Bring two systems that hold the same customers, suppliers or materials. In one working day we connect them, run the match on live rows, review the queue with your steward and publish the first golden view with its API.
