Synabi Logo
Customer Satisfaction
3.9/10
3.9
User Experience
5.7/10
5.7
Technical Foundation
4.3/10
4.3
Business Value
3.2/10
3.2

D-QUANTUM

What is D-QUANTUM?

Customizable data governance solution with features for data cataloging, collaboration, marketplaces, and data as well as AI governance.

Data Management & Storage
– Databases & Access Engines
● Data Intelligence, Data Catalogs and Marketplaces
– Data Operations
– Data Pipelining and Data Quality

= covered

About D-QUANTUM

The information in this section has been provided by the vendor of D-QUANTUM.

Self-description of the vendor

No vendor self-description available

D-QUANTUM screenshots

D-QUANTUM videos

References
Deutsche Bahn, Commerzbank, DKV Mobility, Sparkassen Kreditpartner, KfW, pbb Deutsche Pfandbriefbank
Partners
Deloitte, b.telligent, KPMG, RFD Professionals, Roosi, ADWEKO, bluetelligence

D-QUANTUM BARC Review & Rating

This section contains our independent analyst views on D-QUANTUM.

Provider and product description

Founded in 2016, Synabi is a German technology and service provider with headquarters in Munich. The company currently has around 50 employees and operates mainly in the DACH region. Originally a spin-off of a consulting company, Synabi started out with customers in the banking sector before branching out into other industries. The company offers a data intelligence solution primarily, but also provides business and technical consulting, and educational services.

D-QUANTUM is a data catalog and data governance solution used by both IT and business users. It was initially developed as project solution and then brought to the next level as a highly customizable tool that grows with the customer’s needs. Today, customers can choose to use predefined use cases, specific out-of-the box solutions or to configure the solution to get an individualized catalog.

The tool is a web-based data catalog with a PostgreSQL database. It is available on premises, as a service or in hybrid scenarios. Synabi connects to a range of source systems from databases to analytical software to business applications. The basic connection to other systems is done via D-QUANTUM Connect, which supports asynchronous exchange of CSV, XML, JSON and JDBC and provides an SDK. Real-time exchange to other systems is provided via REST API. D-QUANTUM Connect is basically a framework that provides ready-to-use connectors to extract metadata from various source systems or to build new connectors.

D-QUANTUM covers a full branch of catalog use cases including search & discovery, business glossary, lineage, data products & marketplace functionality and of course data governance capabilities. Supportive features like the configurable workflow engine and the integrated CMS help to shape and personalize the user experience. For metadata curation, D-QUANTUM supports users with algorithms, clear structures and an Excel interface to export/import metadata information. Providing an intuitive and familiar interface to business users via Excel is a good option to increase catalog adoption in the company and to collect business knowledge. The idea is quite simple: D-QUANTUM generates an Excel sheet with a predefined structure. Users can edit this sheet by adding metadata information for tables, logic and more into the structure. After editing, the sheet can be re-imported and loaded into the catalog.

The tool itself is geared towards flexibility. Synabi provides an open and extendable metadata model to store and expose various metadata objects. An out-of-the-box business model can be adapted or redesigned by customers, and workflows can be easily customized. Of course, customizable role-specific and individual views on metadata (with some built-in roles, such as owner and steward) are provided, but the metadata model remains the same for all users.

In terms of ecosystem integration, the solution can be integrated with surrounding processes and tools to support, for example, direct data access if required.

Strengths and challenges of D-QUANTUM

BARC’s viewpoint on the product’s strengths and challenges.

Strengths
  • Synabi D-QUANTUM offers extensive data catalog and governance functionality. What makes it somewhat unique is its high degree of flexibility by configuration. Most content can be easily individualized (e.g., metadata model, workflows, user, pages) and adapted to the needs of the company.
  • Synabi integrates a CMS with catalog functionality. Pages can be freely designed combining catalog functions and wiki functions such as writing and linking text/images or other content pieces with each other. This can be a great opportunity to design easy user journeys through the catalog (e.g., leading a non-technical business user through a requirements analysis of a data shopping process by displaying additional information and explanations).
  • Synabi has a proven track record of supporting customers in highly regulated verticals with their data governance strategies.
Challenges
  • Synabi D-QUANTUM focuses on cataloging and governance and lacks some trending features in areas such as data marketplace, data quality and data observability.
  • Flexibility is both a blessing and a curse. Increased flexibility can lead to greater initial effort and time due to configuration, but it can quickly pay off when implementing individual requirements. Nevertheless, Synabi also tries to support quick starts by making certain use cases available out of the box.
  • The company is quite small in terms of the number of employees, and is currently rather focused on the German-speaking market.
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D-QUANTUM User Reviews & Experiences

The information contained in this section is based on user feedback and actual experience with D-QUANTUM.

The information and figures are largely drawn from BARC’s The BI & Analytics Survey, The Planning Survey, The Financial Consolidation Survey and The Data Management Survey. You can find out more about these surveys by clicking on the relevant links.

Summary of user review highlights from D-QUANTUM

What users like about D-QUANTUM and where the product scores best in a user comparison.

This year, Synabi has achieved 5 top ranks and 11 leading positions within the peer groups for Data Intelligence and Data Catalogs. Users particularly appreciate the solution‘s adaptability and extensibility, allowing it to meet individual business needs. Over 80% of users confirm this adaptability and extensibility, rating Synabi‘s solution as either „excellent“ or „good“ in these categories. Synabi also received its highest score in Sales Experience, with 89% of users acknowledging the company‘s ability to understand complex business requirements and translate them effectively into solutions. The combination of Synabi‘s functional strengths, tailored capabilities and deep expertise ensures that their offerings are well-aligned with user needs, resulting in highly effective and customized solutions for a variety of industries.

Why users buy D-QUANTUM and what problems they have using it

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Individual user reviews for D-QUANTUM

Role
Data Manager
Number of employees
100 - 2.500
Industry
Banking and finance
Source
Invited by the vendor, The Data Management Survey 25, 03/2024
What do you like best?

Flexibilität in der eigenständigen Konfiguration und die vollumfängliche offenen Unterstützung durch den Anbieter. Das Tool ist einfach auf eigene Modellierungen und Definitionen anpassbar.

What do you like least/what could be improved?

Dokumentation des Prozesses zur Anbindung von Schnittstellen, vor allem von On-Prem zu SaaS. Übersichtlichkeit des Rollenmodells.

What key advice would you give to other companies looking to introduce/use the product?

Grundsätzlich kann kein Tool des Marktes die unternehmensinternen Vorarbeiten ersetzen. Welche Businessdefinition wie mit der Technik verknüpfbar ist, ist eine notwendige Leistung eines jeden Unternehmens, die in ein solches Tool investiert werden muss.

How would you sum up your experience?

Sehr gut.

Role
Head of business department
Number of employees
100 - 2.500
Industry
Banking and finance
Source
Invited by the vendor, The Data Management Survey 25, 02/2024
What do you like best?

Layout und Framework.

What do you like least/what could be improved?

Wenig fachliche Standartisierung.

What key advice would you give to other companies looking to introduce/use the product?

Klare Absprache, dass D-Quantum einen Standard über alle Nutzer anbietet.

How would you sum up your experience?

Direkter Kontakt sehr positiv, USP nicht ganz klar.

Role
Enterprise architect
Number of employees
More than 2.500
Industry
Banking and finance
Source
BARC Panel, The Data Management Survey 25, 03/2024
What do you like best?

Flexibilität des Metamodells.

What do you like least/what could be improved?

Visualisierung, Erfassung.

What key advice would you give to other companies looking to introduce/use the product?

Standardmodell von Synabi verwenden.

How would you sum up your experience?

Insgesamt positiv, ein sehr flexibles Tool, schnelle Einsatzbereitschaft. Berücksichtigung der Anforderungen der Anwender ist verbesserungswürdig.

Role
Data steward
Number of employees
100 - 2.500
Industry
Banking and finance
Source
Invited by the vendor, The Data Management Survey 25, 03/2024
What do you like best?

Übersichtliche Seiten und Kennzahlenbäume.

What do you like least/what could be improved?

Konnektoren funtkonieren nicht zufriedenstellend.

What key advice would you give to other companies looking to introduce/use the product?

Beim Standard bleiben.

How would you sum up your experience?

-

Role
Chief data officer
Number of employees
100 - 2.500
Industry
Banking and finance
Source
Invited by the vendor, The Data Management Survey 25, 03/2024
What do you like best?

Tolles, flexibles Team. Angenehme Zusammenarbeit.

What do you like least/what could be improved?

Softwareanpassungen kundenorientiert vorantreiben, Templates und Good Practices oft zu wenig.

What key advice would you give to other companies looking to introduce/use the product?

Vorausschauende Entwicklung nach Marktbeobachtung. Aufbau Beratungskompetenzen im Bankwesen.

How would you sum up your experience?

-

Role
Head of Data Governance
Number of employees
More than 2.500
Industry
Banking and finance
Source
BARC Panel, The Data Management Survey 25, 02/2024
What do you like best?

Hohe Konfigurierbarkeit. Guter Kontakt zum Hersteller.

What do you like least/what could be improved?

Zunehmende Qualitätsprobleme / viele Bugs. Produkt-Roadmap geht zu wenig auf Kunden-Prioritäten ein.

What key advice would you give to other companies looking to introduce/use the product?

Eigene Kompetenz in Konfiguration des Tools aufbauen.

How would you sum up your experience?

-

Role
Consultant
Number of employees
100 - 2.500
Industry
Banking and finance
Source
Invited by the vendor, The Data Management Survey 25, 02/2024
What do you like best?

Klare Roadmap, guter deutschsprachiger Support.

What do you like least/what could be improved?

Performace und Ästhetik könnten besser sein.

What key advice would you give to other companies looking to introduce/use the product?

Alternativen genau prüfen.

How would you sum up your experience?

Solides Tool, erfüllt alle gängigen Anforderungen an Data Governance.

Role
Project manager for BI/analytics from IT
Number of employees
More than 2.500
Industry
Transportation and logistics
Source
Invited by the vendor, The Data Management Survey 25, 03/2024
What do you like best?

Sehr gute, moderne Visualsierungsfunktionalitäten für Data Lineage. Management von Metadaten kann sehr gut organisiert werden.

What do you like least/what could be improved?

Integration von Data Exploration Funktionen wäre eine logische Erweiterung.

What key advice would you give to other companies looking to introduce/use the product?

Ohne Klarheit über die eigene Daten-Architektur & -Prozesse wird es schwierig die Software effizient einzuführen. Lassen sich von den Synabi-Experten zu eine effizienten Vorgehensmodell beraten.

How would you sum up your experience?

Innovatives Produkt & kundenorientierte Experten haben einen positiven Eindruck hinterlassen. Wir würden uns jederzeit wieder für die Software entscheiden.

Role
Consultant
Number of employees
100 - 2.500
Industry
Consulting
Source
Invited by the vendor, The Data Management Survey 25, 03/2024
What do you like best?

Nutzung und Erweiterung ist im Allgemeinen sehr flexibel gestaltet. Support und Unterstützung zeitnah gegeben. Kundenwünsche und -anforderungen können schnell bewertet und beantwortet werden.

What do you like least/what could be improved?

Die Konfiguration komplexer Sachverhalte könnte für den Anwender an einigen Stellen besser und intuitiver gestaltet werden.

What key advice would you give to other companies looking to introduce/use the product?

Der entscheidende Faktor für eine hohe Akzeptanz, Usability und durchgängige Datentransparenz ohne weitere Nutzungseinschränkungen, ist ein gutes Metadatenmodell. Es stellt die grundlegende Basis für D-QUANTUM dar und sollte ausreichend Zeit für die Entwicklung erhalten.

How would you sum up your experience?

D-QUANTUM ist ein äußerst flexibel erweiterbares Werkzeug, um nahezu alle Kundenanforderungen erfüllen zu können. Auch für den Experten, der das Tool konfigurieren und bedienen soll, ist es verständlich aufgebaut und erlaubt ein zügiges produktives Arbeiten.

Awards
Survey Information
Number of reviews for D-QUANTUM
24
Reviewed versions
35% Version 5, 30% Version 5.3, 22% Version 5.4, 9% Version 5.5, 4% Version 5.2
Peer groups in the survey
Data Catalogs, Data Intelligence Platforms & Marketplaces, Data Intelligence Platforms (Small Scenarios)
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