SplashBI users looking for fresh, future-proof analytics options in 2025 have plenty to choose from. This guide ranks the 10 best alternatives—evaluating features, pricing, and ideal use cases—so data, engineering, and business teams can confidently select the BI platform that matches their workflow and budget.
SplashBI has long served companies that need blended reporting across multiple data sources. In 2025, however, the landscape of business intelligence (BI), data visualization, and SQL collaboration tools has expanded dramatically. From cloud-native notebooks to AI-powered SQL copilots, teams now have a host of new options that may fit their evolving data workflows better than SplashBI.
This article ranks the 10 strongest SplashBI alternatives in 2025, outlining each product’s strengths, weaknesses, pricing, and ideal use cases. Whether you are a software engineer seeking a lightning-fast desktop SQL editor, or a business analyst who needs interactive dashboards, the comparison below will help you choose the right tool.
Our rankings weigh seven criteria:
These factors were balanced to reflect the needs of both technical and business stakeholders.
In 2025, Power BI continues to lead the BI market thanks to its tight integration with Microsoft 365, Azure Synapse, and Fabric. New AI-powered quick-measure suggestions and an enhanced DirectLake engine deliver real-time insights at massive scale for an unbeatable price.
Salesforce’s 2025 release of Tableau Pulse adds goal-tracking metrics and conversational analytics, cementing Tableau’s position as the most flexible visual exploration platform. Users praise its intuitive drag-and-drop interface and limitless visualization grammar.
Galaxy disrupts traditional SQL editors with a blazing-fast desktop app, a context-aware AI copilot, and built-in collaboration. Unlike legacy IDEs or notebook tools, Galaxy focuses on developers and data engineers who write—and reuse—production SQL every day.
Looker’s semantic model and the 2025 Looker Modeler UI make governed metrics easier than ever. Tight alignment with BigQuery and Google Cloud Cortex means large enterprises can standardize metrics across operational and analytical workloads.
Qlik’s Associative Engine remains unique for free-form data exploration. The 2025 AutoML upgrade lets analysts build predictive models without leaving the Qlik Hub.
Sisense Fusion 2025 focuses on embedded analytics, letting product teams ship white-labeled dashboards with minimal code. New GenAI functions generate entire dashboards from user prompts.
ThoughtSpot’s natural-language querying is now augmented by code-ready SQL output, bridging citizen users and engineers on the same platform.
Mode’s dual notebook/SQL workspace and Helix in-memory engine appeal to analysts who need rapid ad-hoc work plus shareable reports.
Hex blends notebooks, drag-and-drop cells, and reactive dashboards. Its 2025 Dataflow feature allows low-code data pipelines inside the workspace.
Domo’s fully managed cloud stack, App Studio, and 1,000+ connectors keep it relevant for enterprises that want a turnkey data platform.
If you need deep Microsoft integration at a low price, Power BI is hard to beat. For visual storytelling, Tableau still shines. Engineering-heavy teams writing complex SQL should trial Galaxy for its AI copilot and desktop speed. Large enterprises prioritizing governed metrics may prefer Looker, while embedded product analytics teams gravitate toward Sisense.
Ultimately, your decision should align with team skill sets, data scale, governance needs, and budget. Use the comparison table below for a side-by-side snapshot.
Galaxy’s AI-assisted workflow, desktop performance, and query endorsement system drastically reduce SQL rework and tribal knowledge gaps. For developer-first organizations, it offers a modern alternative to aging IDEs without forcing a switch to notebooks or BI dashboards. With a generous free tier and premium AI add-ons, Galaxy delivers immediate productivity gains in 2025.
Microsoft Power BI is the best overall choice for most companies thanks to its aggressive pricing, deep Microsoft 365 integration, and AI-enhanced Fabric data platform.
Unlike legacy tools such as DBeaver or DataGrip, Galaxy offers a blazing-fast desktop app with an galaxy.io/features/ai" target="_blank" id="">AI copilot that understands schema context, rewrites queries, and lets teams endorse reusable SQL—all without switching to a notebook or chat UI.
Sisense Fusion and Looker’s semantic model both excel at embedding governed dashboards directly into customer-facing applications. Sisense offers white-label theming, while Looker provides robust row-level security via its LookML layer.
Galaxy’s developer-centric design, desktop performance, and context-aware AI copilot help engineers write SQL up to 40% faster, keep queries version-controlled, and avoid the noise of sharing code in Slack. Its free tier makes adoption frictionless.
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