AI TOOL PROFILE

scikiq Review: Data Fabric and Integration Platform

scikiq helps enterprise companies and startups manage fragmented data without requiring extensive coding. It is designed for organizations needing to unify SAP data or establish a governed data layer for AI readiness.

Pricing

Pricing is tiered by scale, starting from $30K–$60K/year for Basic, up to $250K+/year for Custom Enterprise. SAP integration is priced at $60K per SAP source per year on a 5-year contract.

At a glance

Best for
Enterprise companies, Startups, C-level executives, Data management teams, Organizations using SAP
Key use cases
Unifying Fragmented Enterprise Data, SAP Data Activation, Conversational Business Intelligence, Establishing Data Lineage, Building Reusable Data Products
Integrations
SAP ECC, SAP S/4HANA, Snowflake, Databricks, Salesforce
Visit scikiqscikiq software interface screenshot

How AI is used

scikiq is a data fabric platform that provides a framework for data integration, curation, and governance. It is designed for enterprises and startups that need to connect disparate data sources—including databases, cloud platforms, and SaaS applications—into a unified data layer.

The platform supports a no-code approach, using a drag-and-drop interface to build ETL pipelines and manage data flows. It specifically supports complex ERP environments and multi-cloud setups, helping businesses manage data silos.

Buyers should note that the platform is geared toward enterprise needs, with pricing tiers that scale based on user count and infrastructure complexity. It is intended for organizations preparing their data infrastructure for GenAI or machine learning workflows.

Key Features

  • Zero-Code Data Integration

    A drag-and-drop visual builder used to create ETL and integration pipelines with over 200 pre-built connectors.

  • Natural Language Query (NLQ)

    A GenAI-powered interface that allows users to access business insights using conversational language.

  • Data Governance Suite

    Tools for managing data lineage, technical and business metadata, policy enforcement, and data quality scorecards.

  • SAP Data Integration

    No-code connectors designed to extract and contextualize data from SAP ECC, S/4HANA, BW, and HANA.

  • Data Product Factory

    A no-code engine designed to convert governed data into reusable data products, such as dashboards or APIs.

  • Multi-Cloud Support

    Architecture that supports data management across AWS, Azure, GCP, and on-premises environments.

Use Cases

  • Unifying Fragmented Enterprise Data

    Connecting data from various clouds and on-premises sources to create a unified data hub.

  • SAP Data Activation

    Integrating SAP ERP systems with other cloud apps like Salesforce or Oracle without custom development.

  • Conversational Business Intelligence

    Using natural language to query data lakes in Snowflake or Databricks for insights.

  • Establishing Data Lineage

    Tracking the journey of data across the organization to support compliance and identify redundancies.

  • Building Reusable Data Products

    Converting raw, governed data into standardized data products for internal or external use.

Integrations

  • SAP ECC
  • SAP S/4HANA
  • Snowflake
  • Databricks
  • Salesforce
  • Oracle
  • MySQL
  • PostgreSQL
  • SQL Server
  • Kafka
  • Amazon S3
  • Excel

FAQ

What does scikiq do?

scikiq is a data fabric platform that provides tools for data integration, governance, and curation to help enterprises unify fragmented data from various sources.

Is scikiq suitable for small businesses?

While designed for enterprises, scikiq offers a 'Launchpad' for startups, though the starting price point is oriented toward mid-sized and large organizations.

How does scikiq handle data security?

scikiq can be deployed within a client's own Virtual Private Cloud (VPC), which is designed to keep data within the organization's trust network.

Which pricing plan is right for me?

The Basic plan ($30K-$60K/yr) supports up to 25 users for integration and governance. For dashboards, data modeling, and Generative AI tools, the Standard plan or higher is required.

Source category: Data & Analytics

Source subcategory: Data Integration

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