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Akkio vs disy Cadenza

Akkio

akkio.com

disy Cadenza

disy.net

Side by side

FigureAkkiodisy Cadenza
Price from——
Free plan——
Free trialYesYes
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · Augmented Analytics Software8.1 (#9)8.8 (#1)
CompanyAkkio was founded in 2019 and is based in Cambridge, Massachusetts.Disy Informationssysteme GmbH is located in Karlsruhe, Germany, and describes itself as a research-based spin-off founded to develop and launch Cadenza; the page says it has 150 employees and does not state a founding year.
HeadquartersCambridge, Massachusetts, United StatesKarlsruhe, Germany
IntegrationsListed integrations include Databricks, MongoDB, Amazon Redshift, PostgreSQL, MySQL, MariaDB, Google Analytics 4, HubSpot, Airtable, Snowflake, BigQuery, Salesforce, Google Sheets, and Zapier.Disy lists Oracle, PostgreSQL, Microsoft SQL Server, SAP HANA, Elasticsearch, WFS, WMS, ArcGIS Server REST, and WMTS among supported connections; SAP HANA support is identified as beta.
What it doesAkkio is an AI platform that automates campaign workflows for media agencies and data providers.disy Cadenza combines business intelligence, reporting, geographic information systems and advanced analytics for public-sector organizations.

Plans

Akkio

  • Enterprise AI Analytics PlatformPriced on request

Akkio pricing →

disy Cadenza

  • disy CadenzaPriced on request

disy Cadenza pricing →

In their own words

Akkio

Akkio has no write-up on Specifiction yet; its figures are above.

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disy Cadenza

disy Cadenza combines analytics, reporting, and location intelligence to support data-driven decisions across an organization. Users can create interactive dashboards with tables, charts, maps, indicators, images, and text, and refresh analyses when queried. Reports can be generated on a schedule or in response to events, then distributed to employees. For geospatial work, Cadenza maps and analyzes data, including temporal-spatial analysis with automated animations. It also offers AI-based analysis methods, automated insights, and forecasting. Users can upload Excel, CSV, Shapefile, KML, GeoPackage, and GPX files for self-service analysis. Connections include Oracle, PostgreSQL, Microsoft SQL Server, SAP HANA, Elasticsearch, WFS, WMS, ArcGIS Server REST, and WMTS; SAP HANA is identified as beta. Security features include fine-grained roles and privileges, access controls, LDAP and OpenID Connect authentication, and audit logging. Deployment options include on-premises, private cloud, or a hyperscaler, with container and Kubernetes operation described in documentation. Disy offers a fully functional trial package with documentation and tutorials, but registry download requires credentials from an account representative. Pricing is on request.

Visit disy.net