Exploring Holistics, Sisense & Visivo

Holistics vs. Sisense vs. Visivo

Compare key features, capabilities, and differentiators between Holistics, Sisense, Visivo. This comprehensive analysis will help you make an informed decision for your data visualization needs.

Quick Comparison

Key features and capabilities at a glance

Feature	Holistics	Sisense	Visivo
Deployment Model	Cloud SaaS (Holistics 4), On-prem enterprise, Private cloud	Windows/Linux on-prem, Sisense Cloud (managed), Private cloud	Open-source, Cloud Service, Self-hosted
Pricing	Commercial (proprietary). Free trial available.	Commercial (Proprietary). Pricing by seat and consumption.	Open source (GPL-3.0)
Cost	$$$$	$$$$$	$
Git Integration
CI/CD & Testing
Real-time
AI Features
Visual to Code
DAG-Based

Target Users & Use-Cases

Each BI tool is designed with specific user personas in mind.

Holistics

Data teams (analytics engineers)Business users exploring defined dataData-driven organizations

Sisense

Product teams (embedded analytics)Enterprise analystsOEM partners

Visivo

Analytics EngineersData teamsBusiness usersEngineers

Ease of Development & Deployment

Development experience directly impacts team productivity and time-to-value.

Holistics

3/5

Sisense

3/5

Visivo

5/5

Key Integrations & Ecosystem

A robust ecosystem of integrations is essential for modern BI tools.

Holistics

SQL databases (Snowflake, BigQuery, PostgreSQL, etc.). dbt integration: Yes – can import dbt models and exposures, aligning Holistics model with dbt transforms.SQL databases (SnowflakeBigQueryPostgreSQLetc.). dbt integration: Yes – can import dbt models and exposuresaligning Holistics model with dbt transforms.

Sisense

SQL and cloud data warehousesSaaS applicationsJS embedding SDK

Visivo

dbt coreAll major databasesCustom connector frameworkSlack for alertsGithub

Visualization Capabilities

The ability to create compelling visualizations is key to data storytelling.

Holistics

Combines a code-based 'data modeling layer' with a drag/drop UI for end users. Data team defines datasets, dimensions, measures in YAML (or UI), then business users create charts by selecting those fields. Visualization options cover common needs (charts, pivots) with moderate customization. Focus is on accuracy & consistency over flashy visuals.

Sisense

Two flavors merged: traditional dashboard builder (drag-drop charts, with advanced widget for custom UI via scripting) and a notebook-style interface (from acquired Periscope Data) for SQL/Python. Visualizations include a wide range of widgets and the special Sisense BloX for custom coded infographic-like blocks. Highly customizable via JavaScript (for those inclined).

Visivo

Highly custom UI with easy defaults

Detailed Differentiators

Each platform's unique strengths and limitations.

Holistics

Unified metrics layer: define once in code, use anywhere – similar to LookML but using SQL and a simpler DSL. This ensures a single source of truth across charts.

Requires data modeling effort upfront; not as plug-and-play. Smaller community (less third-party resources than bigger tools).

Sisense

Strong embedding and customization – you can integrate analytics into your product with full control (white-label). Now with modern DevOps support (Git, CI/CD) making it enterprise-friendly.

Can be complex to administrate; the full platform (with Elasticube manager, etc.) has a learning curve. Some legacy vs new UI inconsistencies after merging Periscope.

Visivo

BI-as-code approach enables version control, collaboration, and CI/CD workflows. DAG-based architecture provides powerful data transformation capabilities and dependency management. Seamless visual-to-code workflow allows both technical and non-technical users to build dashboards effectively.

Requires understanding of data concepts; not a pure drag-and-drop tool like Tableau. Initial setup requires technical knowledge for optimal configuration.

Security & Architecture

Critical considerations for enterprise deployments.

Holistics

DB Access: Yes, queries run on your DB. Optionally can cache query results in its warehouse for speed. Virtualization: Holistics does not store data long-term; it queries live or caches in temp tables. Push: No, it's pull (with ability to schedule cache refresh). Other: Supports row-level security definitions in the modeling layer; robust role-based view permissions.

Sisense

DB Access: Depending on setup – Live mode: Sisense queries your DB on the fly (needs access); Elasticube mode: data is extracted into Sisense's proprietary in-memory cube (so queries don't hit source DB at runtime). Virtualization: Allows combining multiple sources in one view via its cubes (not exactly virtualization, more like federation into a single cache). Push: In Elasticube mode, data is essentially pushed into Sisense's storage on a refresh schedule. Other: Robust security – single sign-on, row-level security in Elasticubes, and extensive admin controls.

Visivo

No db access required. Very strong security features due to the DAG-based access controls and the push based deployment model.

Why Visivo Stands Out

While each platform has its strengths, Visivo offers unique advantages for modern data teams.

DAG-Based Architecture for complex data transformations

Visual to Human-readable Code conversion

Multiple development approaches for all skill levels

AI-Powered dashboard creation

Full Git integration and version control

Open-source with enterprise features

Ready to Experience Modern BI?

Try Visivo today and see how it transforms your data analytics workflow.

$ curl -fsSL https://visivo.sh | bash

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