Embeddable vs Logi Symphony

Embeddable is a developer toolkit for adding customer-facing analytics to applications. Teams can create interactive dashboards, self-serve analytics, and AI-powered insights on a governed foundation. Dashboards are embedded through an HTML web component and server-side token, without an iframe. Components, data models, themes, and dashboards can remain in a version-controlled repository and be pushed with the SDK. Teams may assemble dashboards in a no-code builder or define them in code. AI chat accepts plain-language questions and returns text or live charts grounded in a semantic layer, with row-level security applied. Embeddable queries a customer database directly and says it does not store a copy. Deployment choices include managed Cube hosting, self-hosted Cube Core, or Cube Cloud; managed hosting offers EU and US options. The company states SOC 2 Type II certification and GDPR compliance, with read-only transactions, SSL/TLS connections, and AES-128 protection for SSH or database credentials. During proof of concept, supported onboarding includes an account manager plus frontend and data-engineering resources. Pricing is a project-scoped monthly subscription quoted after scoping.

Logi Symphony embeds analytics and reporting in applications for customer-facing products and internal teams. It offers self-service dashboards and reports, custom analytics, and server-generated paginated documents such as invoices, statements, and regulatory materials for scheduled distribution. Users can explore data, run ad hoc queries, and build dashboards, multi-page reports, scorecards, and other views. Developers can embed features with .NET, REST, and JavaScript APIs, extend workflows with custom components, and use Python or R for analytics. Built-in ETL and data-cube tools support data cleansing and combining sources. One deployment can serve multiple client organizations with tenant isolation, white-labeling, and localization. Deployment options include on-premises, private cloud, and hybrid environments. Security features include granular data access controls and SSO; AI features such as natural-language queries require the separate Simba Intelligence module. The vendor says its cloud solutions encrypt data in transit and at rest using TLS ciphers and AES-256, and that its security program aligns with ISO 27001 and SSAE-18 SOC 2 frameworks. Pricing is available on request.