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  • What is data warehouse automation?
  • Why not just Azure Data Factory?
  • Compared with other tools
  • Yres compared with TimeXtender
  • Yres compared with AnalyticsCreator
  • Yres or building it yourself on Azure
  • A data foundation for AI
  • Yres and Microsoft Fabric

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The comparison at a glance/TimeXtender

Yres or TimeXtender? The differences at a glance

Yres and TimeXtender both automate a data warehouse on Azure, but at a different scale. Yres runs without a server of its own on Azure Data Factory and Azure SQL, costs €350 to €997 per month, has its own connectors for AFAS and Exact Online and deploys per change. TimeXtender is a broader suite from €34,000 per year, with field-level lineage, an MCP server in Early Access, SOC 2 and ISO 27001, a free academy with exam and eleven partners in the Netherlands. Its own reference architecture adds a VM that must remain running, plus a Windows desktop client.

Discuss your situation with a data architect

Last checked: 2026-09-22

The differences that matter most

  • Yres costs €350 to €997 per month, fixed and public; TimeXtender starts, per its own pricing page, at €34,000 per year, including Orchestration Lite.
  • TimeXtender has field-level lineage and an MCP server in Early Access; Yres has lineage at object level and an MCP server planned for October 2027.
  • Yres needs no server of its own; TimeXtender, per its own Azure reference architecture, comes with a VM that must remain running, plus a Windows desktop client and the vendor's portal.
  • TimeXtender is certified for SOC 2 Type II and ISO 27001:2022 and offers seven authentication methods for REST; Yres has ISO 27001 and three authentication methods plus free-form headers.
  • Yres deploys per change to test and production; TimeXtender migrates the whole instance, and per-object promotion is, per TimeXtender itself, 'not yet supported'.

Everything side by side

The same rows as on the full comparison, now only Yres and TimeXtender.

✅ yes · ◐ partly or through a workaround · ❌ no · – not publicly documented

YresTimeXtender
Sources and connectors
REST APIs✅Anonymous, Basic, OAuth2 client credentials and any token or API key through free headers; 6 pagination forms; endpoints picked from an OpenAPI specification; nested JSON becomes a table automatically, up to 10 levels deep[49][50]✅None, Basic, Bearer, OAuth2, OAuth refresh token, Authentication endpoint and Azure service principal; configurable pagination; OpenAPI import; nested JSON through XSLT table flattening[27]
OData✅OData v2 and v4; anonymous, Basic or OAuth2 (client credentials or authorization code with refresh token)[51][52]✅Own OData data source[7]
Files✅CSV, Excel and Parquet; from Azure Blob Storage, Azure Data Lake, a file server or SharePoint[53][54][55]✅CSV, Excel, XML/JSON and Parquet (own providers)[7]
Databases✅SQL Server, Azure SQL, PostgreSQL, MySQL, Oracle, IBM DB2 and Snowflake[56]✅Among others SQL Server, MySQL and Oracle (own providers)[7]
SAP✅Official SAP partner. S/4HANA and SAP ERP through OData services; SAP HANA through XS OData; SAP Analytics Cloud, Datasphere and Business Data Cloud. Without third-party middleware[57][58][59][60]✅Own SAP Table data source[7]
Microsoft✅SQL Server, Azure SQL, SharePoint, Teams and Microsoft 365 through Microsoft Graph, Azure Blob Storage, Azure Data Lake and Power BI; Dynamics 365 Business Central through OData (OAuth2 sign-in in development)[61][55][62]✅Among others SQL Server, Excel and Dynamics 365 Business Central (own providers)[7]
Oracle✅Oracle Database; Oracle NetSuite is planned for October 2027[63]✅Oracle Database (own provider)[7]
Dutch business software✅AFAS and Exact Online with their own connection (official partner of both); also TOPdesk and Simplicate[64][65]◐Exact Online as an own data source; for AFAS a partner guide (May 2024) describes connecting via the generic REST source[8][9]
Type mapping✅Organisation-wide + per source + per column, travels along with changes[66]✅'Override Data Type' rules per data source and per field[18]
Loading and history
Load types7: FULL, DELTA, DELTAIMAGE, IMAGE, OVERWRITE, RELOAD, ADDITIONAL[67]3 modes: Automatic, Incremental, Full[29]
History (SCD2)✅Default for 6 of the 7 load types, set per table[68]✅Type 0/I/II per field[10]
Rows that disappear from the source✅Keep / close / close within the delta window[67]◐Soft deletes (tombstone) supported; per the sources below hard deletes cannot be combined with history tables, and incremental loading over REST cannot handle updates and deletes[28][30]
Change detection✅Hashes (SHA2-512) on key and content. A field can be kept out of the comparison: if only that field changes, the row is not updated and the new value only comes along when another field changes[67]✅Hash keys for SCD I/II; SHA-1 default, SHA-2 512 optional[31][14]
Two delta columns✅12 source types[67]◐Multiple incremental rules[28]
Override the load type per run✅"Alternative load"[67]✅A full load can be forced per table or per Ingest task[29][15]
Delta after a failed load✅Watermark only advances after success[67]–Not publicly documented
Roll back a table to a point in time✅Per table to a point in time; dry run via the stored procedure[69]–Not publicly documented; there is an open customer request (May 2026) about rolling back product upgrades[43]
Large tables✅Paginated merge, 100M+ rows[67]✅Batch data cleansing, table partitioning and compression[16][17]
Modelling and delivery
Have the model generated (Kimball, Data Vault)❌Deliberately not. Yres delivers the layer with full history; you build the model on top yourself, in the method of your choice[70]Dimensional; Data Vault not publicly documented[2]
Your own model on top of the data✅Any method, from Kimball to Data Vault, is built with your own views and procedures on the history layer. Views can be persisted as tables, and your own objects travel to test and production through changes[71][72]✅Your own views and procedures[35]
Generate a semantic model❌No✅Power BI, Tableau, Qlik[2]
Lineage◐Object level + impact analysis[73]✅Field-level lineage and impact documentation[11]
Data quality / enrichment❌Not as a module✅Separate products[1][3]
Target platformsAzure SQL, with a Parquet feed to the Data Lake that Fabric, Databricks and Synapse can read. Microsoft Fabric as a target platform is planned for the end of 2027[82][74]Azure, Fabric, SQL Server, Snowflake, AWS[2]
MCP server for AIAnnounced, October 2027✅MCP Server 2.0 available via Early Access (May 2026); Xpilot Analytics in Private Preview[4][13]
Changing and deploying
Environments✅Release → import → install, incl. ADF; 1 environment in Essentials, 2 in Advanced, 6 in Ultimate[75][85]✅Migration of the whole instance with preview; restore a version[12]
Deploy only the change you want✅Per change (changes system: Advanced and up)[76]❌Per the source below: 'promotion of individual objects within instances is not yet supported'; customer requests for this are still open[41][42]
Changes recorded automatically✅Per change, within a project (changes system: Advanced and up)[76]◐Work items are created manually ('like Post-it notes'); automatic version notes are an open customer request (May 2026)[19][44]
Block on unreleased dependencies✅Yes (changes system: Advanced and up)[75]–Not publicly documented
Impact analysis before installing✅Yes (also: print the SQL first)[75]◐Review changes before transfer[12]
Deployment safeguards◐Impact analysis, review the SQL beforehand✅Preview, restore a version[12]
Name translation per environment✅Rules per environment[77]◐Mapping of sources and endpoints[12]
Audit of changes made directly in the database✅Every DDL: who, when, full command[78]–Not publicly documented
Compare versions of an object✅Diff between two versions of an object[72]◐Per the source below: open a previous instance version to compare; a diff feature is an open customer request[45]
Compare definitions between environments✅Yes[72]–Not publicly documented
Track source changes✅Source ↔ dictionary ↔ STAGE ↔ HIS; automatic adjustment; REST grows along[66]✅The 'Import Metadata' task synchronizes the structure of the source with the metadata stored in the Ingest instance[15]
Running and operating
Scheduling and orchestration✅Visual master pipeline with 7 building blocks and paths on success and failure. Refreshing your Power BI models is one of those blocks: the report refreshes right after the data has loaded[79]◐In-product Jobs are deprecated; scheduling runs via TimeXtender Orchestration (Lite version included)[25][1]
Maintenance included✅Four maintenance pipelines (cleanup, log retention, archiving, index maintenance), which you combine into a master pipeline yourself[80]◐Index automation, automatic log truncation and a storage management task[21][15]
Monitoring per table✅Status, counts, steps, planned/skipped, locks, slow queries[79][78]✅Execution log with counts and steps; Gantt view to compare two executions[33]
Health checks✅About 80 checks in 9 groups; some with a ready-made fix script[77]◐'Performance Recommendations': 8 recommendations applied with one click; a broader analyzer is an open customer request (2024)[20][47]
Test suite in the product✅±1,655 checks / 195 objects[81]–Not publicly documented
Scale the database up and down✅From Advanced up, with arbitration between concurrent workflows[82][85]◐Via Orchestration's Azure Cloud Optimizer package; per the source below not in the Lite version; the reference architecture names PowerShell as the alternative[26][23]
Archiving✅Per table, old history moves to Parquet in the Data Lake, by age or by a date field. Deleting from the database only happens after the number of copied rows matches exactly, and is off by default[83]◐The storage management task moves old Ingest versions to 'cool' storage (with Azure Data Lake storage); archiving of history tables is not documented[15][46]
Database and Data Lake as one dataset✅One view combines the table in the database with the archive in the Data Lake. Reports keep seeing the full dataset, even after old data has been archived[83]–Not publicly documented
Log retention✅Per log table, dry run[78]◐Ingest service log default 7 days; execution log default 90 days, adjustable[32][34]
What you have to run yourselfNo server of its own: Yres runs on Azure Data Factory and Azure SQL. Only for sources inside your own network do you install a Microsoft self-hosted integration runtime[82]Per the Azure reference architecture (2023) a VM for the Ingest and Execution services that 'must remain running for TimeXtender Data Integration to function'; plus a Windows desktop client and the vendor's portal[23][6]
Security and ownership
What is stored whereData, metadata, credentials and secrets live in the customer's Azure tenant, in the region you choose yourself. Yres only holds the settings of the web app (Azure West Europe), never customer data or credentials[82][84]Data in your own environment; metadata and portal at the vendor[22][6]
Secrets✅Key Vault only; managed identity[82]❌Per the sources below no managed identity for Azure SQL storage; Entra service principal is supported, but not together with ADF; customer requests for this are open[37][38][39][40]
CertificationsISO 27001. Plainwater, the maker of Yres, is a Microsoft Solutions Partner for Data & AI (Azure)[84]✅SOC 2 Type II and ISO 27001:2022[24]
Web application firewall✅In every plan[85]–Not publicly documented; TLS 1.2+ and AES-256 for credentials are[22]
What remains when you stop✅Everything keeps running in your own tenant, and your own data engineers can continue developing on it–Not publicly documented
Getting started, support and cost
Installation (with the right permissions in Azure in place)✅Automated in your own tenant, ±20 min[86]Server, services and desktop client[6]
DocumentationExtensive knowledge base in Dutch and English, with an AI assistant that answers your questions[87]English-language knowledge base, active community[6]
TrainingAcademy: 3 public courses, quizzes, simulators, verifiable certificates[88]✅Free online training; 75-minute certification exam, pass mark 80%[36]
The NetherlandsDutch product and team11 partners based in the Netherlands in the partner finder[5]
Price (public)Essentials €350, Advanced €674, Ultimate €997 per month; fixed and public. Per year: €4,200 to €11,964[85]Starter €34,000, Standard €45,000, Premium €76,000, Enterprise €150,000, including Orchestration Lite. Per year: €34,000 to €150,000[1]
Ongoing Azure costsSmall default database; scales up only while loading[82]Reference architecture: DS2_v2 VM; production Hyperscale from 4 vCores; development serverless[23]
Independent reviews❌None yetBARC Data Fabric Survey 26: first in Recommendation (9.3) and Ease of Use (8.5) in the DWH Automation and Data Engineering Tools peer groups[48]

See the full comparison with all alternatives

Which one fits you?

TimeXtender

Choose TimeXtender if you want a broad suite with data quality and enrichment as separate products, several target platforms such as Fabric, Snowflake and AWS, field-level lineage and an MCP server in Early Access. You will need the infrastructure for the VM and the desktop client, and a budget from €34,000 per year. A large partner network in the Netherlands and a free academy with exam help with the setup.

Yres

Choose Yres if AFAS, Exact Online, SAP and your other sources must sit with full history in your own Azure, without a VM or desktop client. You deploy per change, you also see what someone changes directly in the database, and operations such as health checks, the test suite and database scaling are part of the product. You run that with a small team, at a fixed price of €350 to €997 per month.

Frequently asked questions

What is the price difference between Yres and TimeXtender?

Yres costs €350 (Essentials), €674 (Advanced) or €997 (Ultimate) per month, fixed and public; €4,200 to €11,964 per year. TimeXtender starts, per its own pricing page (as of 2026-09-22), at €34,000 per year for Starter, up to €150,000 for Enterprise, including Orchestration Lite. With both, the Azure costs in your own tenant come on top.

What do I have to run myself with Yres and with TimeXtender?

Yres runs on Azure Data Factory and Azure SQL in your own tenant and needs no server of its own; only for sources inside your own network do you install a Microsoft self-hosted integration runtime. TimeXtender, per its own Azure reference architecture (as of 2026-09-22), comes with a VM that 'must remain running', plus a Windows desktop client and the vendor's portal.

Do Yres and TimeXtender support AFAS and Exact Online?

Yres has its own connector for both and is an official partner of AFAS and Exact. TimeXtender has its own Exact Online data source; for AFAS we found no dedicated source in TimeXtender's documentation on 2026-09-22, but a partner guide (May 2024) that describes connecting through the generic REST source.

Where is TimeXtender ahead of Yres?

Per TimeXtender's own public material (as of 2026-09-22): field-level lineage, a semantic model for Power BI, Tableau and Qlik, data quality and enrichment as separate products, more target platforms (Fabric, Snowflake, AWS), an MCP server in Early Access, SOC 2 Type II alongside ISO 27001, a free academy with exam and eleven partners in the Netherlands. Yres deliberately generates no model and has lineage at object level.

Sources

Everything about the other vendor comes from that vendor's own public material or from a named analyst. We only use ❌ when the vendor itself or an open customer request says so; otherwise it reads 'not publicly documented'. Is something incorrect or out of date? Email us: feedback@yres.app.

  1. [1] TimeXtender — Pricing (pricing page). https://www.timextender.com/pricing · checked 2026-09-21
  2. [2] TimeXtender — Data Integration product page. https://www.timextender.com/data-integration · checked 2026-09-21
  3. [3] TimeXtender — Data Enrichment product page. https://www.timextender.com/data-enrichment · checked 2026-09-21
  4. [4] TimeXtender — MCP Server. https://www.timextender.com/mcp-server · checked 2026-09-21
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  10. [10] TimeXtender — Use history to implement slowly changing dimensions. https://support.timextender.com/prepare-108/use-history-to-implement-slowly-changing-dimensions-998 · checked 2026-09-21
  11. [11] TimeXtender — Lineage and visualization. https://support.timextender.com/documentation-and-lineage-114/lineage-and-visualization-827 · checked 2026-09-21
  12. [12] TimeXtender — Migrate instances across environments. https://support.timextender.com/add-and-configure-instances-127/migrate-instances-across-environments-1527 · checked 2026-09-21
  13. [13] TimeXtender — MCP 2.0 and Xpilot Analytics early access. https://support.timextender.com/setup-configuration-168/timextender-mcp-2-0-xpilot-analytics-early-access-3971 · checked 2026-09-21
  14. [14] TimeXtender — Custom hash fields. https://support.timextender.com/prepare-108/custom-hash-fields-1036 · checked 2026-09-21
  15. [15] TimeXtender — Tasks in an Ingest instance. https://support.timextender.com/ingest-107/tasks-in-an-ingest-instance-704 · checked 2026-09-21
  16. [16] TimeXtender — Batch data cleansing. https://support.timextender.com/prepare-108/batch-data-cleansing-1035 · checked 2026-09-21
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  19. [19] TimeXtender — Using work items as part of team development. https://support.timextender.com/prepare-108/using-work-items-as-part-of-team-development-980 · checked 2026-09-21
  20. [20] TimeXtender — Performance recommendations. https://support.timextender.com/prepare-108/performance-recommendations-1021 · checked 2026-09-21
  21. [21] TimeXtender — Indexes. https://support.timextender.com/prepare-108/indexes-1138 · checked 2026-09-21
  22. [22] TimeXtender — Portal security. https://support.timextender.com/managing-your-account-162/portal-security-947 · checked 2026-09-21
  23. [23] TimeXtender — Azure SQL Database reference architecture. https://support.timextender.com/reference-architectures-125/azure-sql-database-reference-architecture-803 · checked 2026-09-21
  24. [24] TimeXtender — Security and compliance. https://www.timextender.com/security · checked 2026-09-21
  25. [25] TimeXtender — Scheduling executions using Jobs (deprecated). https://support.timextender.com/deprecated-154/scheduling-executions-using-jobs-722 · checked 2026-09-21
  26. [26] TimeXtender — Configuring the Azure Cloud Optimizer package (article and author replies). https://support.timextender.com/timextender-orchestration-139/configuring-azure-cloud-optimizer-package-2454 · checked 2026-09-21
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  29. [29] TimeXtender — Incremental load in Prepare instances. https://support.timextender.com/prepare-108/incremental-load-in-prepare-instances-710 · checked 2026-09-21
  30. [30] TimeXtender — Settings related to incremental load (community answer, Sep 2025) (community). https://support.timextender.com/prepare-90/settings-related-to-incremental-load-3641 · checked 2026-09-21
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  32. [32] TimeXtender — Execution queue, logs and statistics. https://support.timextender.com/ingest-107/execution-queue-logs-and-statistics-1005 · checked 2026-09-21
  33. [33] TimeXtender — Execution performance monitoring and troubleshooting. https://support.timextender.com/executions-110/execution-performance-monitoring-and-troubleshooting-624 · checked 2026-09-21
  34. [34] TimeXtender — Repository cleanup. https://support.timextender.com/general-104/repository-cleanup-1355 · checked 2026-09-21
  35. [35] TimeXtender — Customized code and custom scripting. https://support.timextender.com/prepare-108/customized-code-and-custom-scripting-1145 · checked 2026-09-21
  36. [36] TimeXtender — Certification exam study guide. https://support.timextender.com/initial-setup-start-here-115/certification-exam-study-guide-703 · checked 2026-09-21
  37. [37] TimeXtender — Azure SQL managed identity authentication (staff answer, Apr 2024) (vendor answer in the community). https://support.timextender.com/prepare-90/azure-sql-managed-identity-authentication-2072 · checked 2026-09-21
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  42. [42] TimeXtender — Idea: selective environment transfer (partial release) (open customer request). https://support.timextender.com/ideas/selective-environment-transfer-partial-release-1211 · checked 2026-09-21
  43. [43] TimeXtender — Idea: roll back in TDI v21 (open customer request). https://support.timextender.com/ideas/roll-back-in-tdi-v21-3954 · checked 2026-09-21
  44. [44] TimeXtender — Idea: structured, automated or suggested version notes (open customer request). https://support.timextender.com/ideas/structured-automated-suggested-version-notes-in-tdi-3949 · checked 2026-09-21
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  51. [51] Yres — OData source. https://yres.eu/en/wiki/integraties/bronnen/odata · checked 2026-09-21
  52. [52] Yres — OData with OAuth. https://yres.eu/en/wiki/integraties/bronnen/odata-oauth · checked 2026-09-21
  53. [53] Yres — Azure Blob Storage source (file formats). https://yres.eu/en/wiki/integraties/bronnen/azure-blob-storage · checked 2026-09-21
  54. [54] Yres — File server source. https://yres.eu/en/wiki/integraties/bronnen/file-server · checked 2026-09-21
  55. [55] Yres — SharePoint source. https://yres.eu/en/wiki/integraties/bronnen/sharepoint · checked 2026-09-21
  56. [56] Yres — Integration catalogue (all sources). https://yres.eu/en/wiki/integraties/catalogus · checked 2026-09-21
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  58. [58] Yres — SAP HANA. https://yres.eu/en/wiki/integraties/bronnen/sap-hana · checked 2026-09-21
  59. [59] Yres — SAP Analytics Cloud. https://yres.eu/en/wiki/integraties/bronnen/sac · checked 2026-09-21
  60. [60] Yres — SAP Datasphere. https://yres.eu/en/wiki/integraties/bronnen/sap-datasphere · checked 2026-09-21
  61. [61] Yres — Microsoft Graph. https://yres.eu/en/wiki/integraties/bronnen/microsoft-graph · checked 2026-09-21
  62. [62] Yres — Dynamics 365. https://yres.eu/en/wiki/integraties/bronnen/dynamics-365 · checked 2026-09-21
  63. [63] Yres — Oracle. https://yres.eu/en/wiki/integraties/bronnen/oracle · checked 2026-09-21
  64. [64] Yres — AFAS. https://yres.eu/en/wiki/integraties/bronnen/afas · checked 2026-09-21
  65. [65] Yres — Exact Online. https://yres.eu/en/wiki/integraties/bronnen/exact-online · checked 2026-09-21
  66. [66] Yres — Data sources screen (type mapping, metadata compare). https://yres.eu/en/wiki/frontend/data-sources · checked 2026-09-21
  67. [67] Yres — Load types. https://yres.eu/en/wiki/concepten/load-types · checked 2026-09-21
  68. [68] Yres — History (SCD2). https://yres.eu/en/wiki/concepten/historie-scd2 · checked 2026-09-21
  69. [69] Yres — Rollback and reset. https://yres.eu/en/wiki/concepten/rollback-reset · checked 2026-09-21
  70. [70] Yres — Data flow: STAGE, HIS and views. https://yres.eu/en/wiki/concepten/gegevensstroom · checked 2026-09-21
  71. [71] Yres — SQL interaction. https://yres.eu/en/wiki/referentie/sql-interaction · checked 2026-09-21
  72. [72] Yres — Data engineering (views, persisted views, compare). https://yres.eu/en/wiki/frontend/data-engineering · checked 2026-09-21
  73. [73] Yres — Features (lineage and impact analysis). https://yres.eu/en/wiki/product/features · checked 2026-09-21
  74. [74] Yres — Lake feed (Parquet change feed). https://yres.eu/en/wiki/concepten/lake-feed · checked 2026-09-21
  75. [75] Yres — CI/CD and DTAP. https://yres.eu/en/wiki/architectuur/cicd-dtap · checked 2026-09-21
  76. [76] Yres — Change process. https://yres.eu/en/wiki/concepten/wijzigingsproces · checked 2026-09-21
  77. [77] Yres — Admin (health checks, settings, environments). https://yres.eu/en/wiki/frontend/admin · checked 2026-09-21
  78. [78] Yres — Monitoring and logging. https://yres.eu/en/wiki/referentie/monitoring-logging · checked 2026-09-21
  79. [79] Yres — Load management (master pipelines, monitoring). https://yres.eu/en/wiki/frontend/load-management · checked 2026-09-21
  80. [80] Yres — Maintenance master pipeline. https://yres.eu/en/wiki/setup/onderhouds-master-pipeline · checked 2026-09-21
  81. [81] Yres — Test suite. https://yres.eu/en/wiki/referentie/testsuite · checked 2026-09-21
  82. [82] Yres — Azure architecture. https://yres.eu/en/wiki/referentie/azure-architectuur · checked 2026-09-21
  83. [83] Yres — Archiving. https://yres.eu/en/wiki/concepten/archivering · checked 2026-09-21
  84. [84] Yres — FAQ (security, certification). https://yres.eu/en/wiki/faq · checked 2026-09-21
  85. [85] Yres — Pricing and packages. https://yres.eu/en/wiki/prijzen · checked 2026-09-21
  86. [86] Yres — Installation. https://yres.eu/en/wiki/setup/installatie · checked 2026-09-21
  87. [87] Yres — Knowledge base. https://yres.eu/en/wiki/ · checked 2026-09-21
  88. [88] Yres — Yres Academy. https://yres.eu/academy/en · checked 2026-09-21

Data warehouse automation that runs in your own Azure

Built for organisations on Azure and Power BI. Yres connects your sources, keeps the history and promotes changes in a controlled way, without manual work.

Talk to a data architectSee how it works