Canner Enterprise

Self-service data from warehouses, lakes, databases and NoSQL

Governed, self-service data access for your whole organization. Canner Enterprise is fully supported for our enterprise customers.

Solution architecture

One governed layer between every data source and every data consumer.

Consumers

  • Analytical applications

    BI tools, SQL IDEs, ETL, ODBC / JDBC

    PostgreSQL wire protocol

  • Operational applications

    Dashboards, reports, internal tools

    RESTful API

  • Intelligent services

    Python, Spark, notebooks, ML pipelines

    JDBC, Python and Scala SDK

  • Dedicated connectors

    Tableau, Power BI

    Push data

Context layer

Canner Enterprise

  • Data consumption

    • Postgres protocol
    • Dedicated BI connectors
    • API endpoints
  • Data productization

    • Data catalog
    • Data discovery
    • Virtual workspaces
  • Data virtualization

    • Heterogeneous sources
    • Metadata manager
    • Schema history

Data authorization

  • Layered data access control
  • Data API access token
  • Column-based access control

Sources

  • Files

    CSV, JSON, Excel, FTP

  • Data lake

    S3, Azure Blob, GCS, Hive, Parquet, ORC

  • Data warehouse

    BigQuery, Teradata

  • Databases

    PostgreSQL, MySQL, Oracle, SQL Server, DB2

  • NoSQL

    MongoDB, Elasticsearch, Cassandra

What Canner Enterprise does

Data Virtualization

Virtualize and normalize metadata from sources.

  • Heterogeneous sources

    Aggregate data across multiple data models with a virtualization layer over data lakes, data warehouses and siloed SQL sources.

  • Metadata Manager

    Scan and map schemas and types in one place so definitions stay consistent across tools and storages.

  • Schema change history

    Track upstream schema changes to prevent unpredictable downtime in downstream services.

Data Product Management

Enable self-service for business teams and users.

  • Data catalog

    Add descriptions and labels to databases, tables and columns so data is discoverable.

  • Data discovery

    A built-in search engine with per-group visibility controls for datasets.

  • Virtual workspaces

    Compose analytic metrics with operational datasets owned by data domain owners.

  • Data caches

    Configure ad-hoc, batch or incremental caching per business scenario.

Data Security

Unified authorization and policy across sources and applications.

  • Data access control

    Govern collaborative datasets for authorized users and revoke rights as they propagate.

  • Data masking

    Global and local masking rules based on the consumer's profile.

  • API access tokens

    Personal access tokens replace password authentication for external API access.

  • Activity logs

    Logins, operations and queries are logged so data use follows company policy.

Data Serving

Standardize metric definitions and business logic.

  • Output formats

    RESTful API, Python, JDBC/ODBC, CSV and Excel for every kind of consumer.

  • Canner Protocol

    PostgreSQL wire-protocol compatible, so any tool with a PostgreSQL connector works natively.

  • Dedicated BI connectors

    First-class connectors for popular BI tools such as Tableau, with built-in refresh automation.

Improve data efficiency and reduce cost

  • Eliminate data copying

    Reduce duplicate datasets and data engineering load.

  • Create data products

    Achieve self-service analytics and higher analyst productivity.

  • Up-to-date reports

    Agile, accurate reporting for executive decision-making.

Already a Canner Enterprise customer?

The documentation covers installation, configuration and every connector. For anything else, our support team is one email away.