Sisense pricing is a black box.
Yurbi shows you everything upfront.
Sisense is a capable analytics platform with genuine AI/ML strengths. But for ISVs embedding analytics in a product they sell, the combination of hidden pricing, customer-reported OEM costs of $60K–$150K/year, and per-tenant infrastructure costs makes the evaluation more complicated than their marketing suggests.
Four things ISVs need to know before embedding Sisense
These aren't reasons to automatically rule it out. They're questions worth asking with clear answers before you commit to embedding a platform in a product your customers depend on.
Pricing requires a sales call — and the number is rarely what you expect
Sisense doesn't publish pricing — it removed its Launch ($399/mo) and Grow ($1,299/mo) list prices on June 1, 2026. For OEM embedded use — the scenario where your customers access dashboards inside your product — customer-reported (anecdotal) costs land between $60K and $150K/year for mid-size SaaS companies. You can't model budget fit without entering a sales process, and you have no benchmark for the negotiation.
April 2024: CISA issued a public warning after a Sisense data breach
Attackers accessed Sisense's internal GitLab repository and reportedly exfiltrated millions of access tokens, SSL certificates, and credentials. CISA issued a public alert on April 11, 2024 — a rare response — and urged all Sisense customers to immediately rotate credentials used in their Sisense deployments. Security researcher Marc Rogers described it as a "worst-case scenario" for Sisense customers: their access tokens were the keys to their customers' data. For ISVs whose customers' data flows through an embedded Sisense deployment, this is a direct supply chain risk — a breach of Sisense is a breach of the door to your customers' data.
Per-tenant ElastiCube architecture means costs scale with your customer count
Sisense's data engine (ElastiCube) requires a separate instance for each customer tenant when you need genuine data isolation. Each ElastiCube carries its own cost and operational overhead. For an ISV with 20 enterprise customers each needing self-service analytics and isolated data, that's 20 ElastiCubes before counting platform fees. Sisense doesn't publish per-ElastiCube costs (anecdotal user reports cite around $10,000 each). This is the cost structure that can turn a modest starting quote into a much larger annual commitment.
Company instability: workforce halved, strategy pivoted multiple times
Sisense employed around 800 people in 2022. Three rounds of layoffs — roughly 800 to 600 in 2022, about 100 in July 2023, then about 60 in January 2024 — reduced headcount to approximately 400. In parallel, the company shifted strategy multiple times: from internal BI tool to enterprise-only to "infusing analytics" for product teams to the current "Analytics Platform as a Service" positioning. On May 28, 2025 they relaunched as an AI-first platform with Sisense Intelligence. Each shift changes who Sisense is building for and what support mid-market ISVs can expect.
Sisense vs Yurbi — for ISVs embedding analytics in their product
Sisense pricing based on publicly reported ISV evaluations and community data as of October 2026; ranges are customer-reported and anecdotal. Sisense removed its published Launch/Grow prices on June 1, 2026 and does not publish pricing — verify directly with Sisense before budgeting. Yurbi pricing is published here.
Which one is actually right for your product?
We're not going to claim Yurbi wins every use case. Here's a direct read on when each platform is genuinely the better fit.
Choose Sisense if:
- Your product's analytics use case is AI or ML-heavy — natural language queries, predictive analytics, or data science notebooks are core requirements, not nice-to-haves
- You're happy with Sisense-hosted cloud delivery, or you have the Kubernetes expertise in-house to run Sisense's self-hosted deployment
- Your budget is enterprise-level (customer reports suggest $100K+/year for embedded use) and you have dedicated analytics engineering resources to implement and maintain it
- Your customers are large enterprises who have already vetted Sisense and consider it a requirement in your product
Choose Yurbi if:
- You need to embed analytics in a customer-facing product on a published, predictable annual budget — no sales call, no negotiation
- Your customers require self-hosted deployment — their data stays in their infrastructure, full stop
- You need multi-tenant isolation, per-customer white-label branding, and dynamic data source routing without per-tenant licensing overhead
- You want to evaluate on your own infrastructure before committing — download the full trial today, connect to your database, and have a working embed in days
- You're a mid-market ISV (11–250 people) where vendor stability, transparent pricing, and talking to engineers directly are advantages — not negotiables
Sisense vs Yurbi — questions answered directly
Sisense doesn't publish pricing today. Until June 1, 2026 it listed Launch ($399/month) and Grow ($1,299/month) plans; those were removed and pricing is now quote-only (as of October 2026). For OEM embedded use — where your customers access analytics inside your product — the picture is different. Customer-reported (anecdotal) figures place mid-size SaaS ISV deployments at $60,000–$150,000/year once OEM licensing, per-tenant ElastiCube costs, and implementation are included.
Those are anecdotal figures, and we can't give you a number Sisense themselves won't confirm. The practical implication: you can't evaluate budget fit without entering a sales process. With Yurbi, you can see every price here before making any contact.
In April 2024, attackers compromised Sisense's internal GitLab repository and, according to unnamed sources cited by KrebsOnSecurity, exfiltrated millions of access tokens, SSL certificates, and credentials. The U.S. Cybersecurity and Infrastructure Security Agency (CISA) issued a public alert on April 11, 2024 — which is rare — and urged all Sisense customers to immediately rotate credentials across their Sisense deployments. Sisense's CISO sent customers a detailed list of what needed to be reset: Active Directory credentials, Git credentials, SSO tokens, web access tokens, and more.
For ISVs, the specific concern is this: Sisense's role in your architecture is to connect to your customers' databases and surface their data in dashboards embedded in your product. The credentials Sisense holds to do that job were what was reportedly exposed. A breach of Sisense's infrastructure is a potential breach of the access path to your customers' data. That's a supply chain risk that affects every company in the chain — including your customers and, by extension, your business.
Yurbi is self-hosted: it runs inside your infrastructure, has no required outbound connections to 5000fish servers, and cannot contact our infrastructure during normal operation. Your deployment is not in a shared cloud environment that can be breached at the vendor level.
Yes. Sisense Enterprise is offered as SaaS, as a dedicated cloud, or on-premise — on Linux (RKE2), managed Kubernetes (EKS/AKS/GKE), OpenShift, and offline/air-gapped environments. That's a real self-hosted option.
The trade-off is operational: Sisense self-hosting is Kubernetes-based, so you (or your customers) run and upgrade a Kubernetes cluster. Yurbi is self-hosted by design and lighter to operate. It installs on Windows Server, Linux, or Docker inside your infrastructure, uses Microsoft SQL Server or PostgreSQL as its backend database, and your customers' data never leaves their environment. That's the architecture, not a feature toggle.
No, and we won't pretend otherwise. In May 2025 Sisense launched Sisense Intelligence — a suite of GenAI-powered tools including a natural language "Assistant" for end-to-end analytics creation, "Explanation" for surfacing data drivers, and "Forecast" for trend prediction. These are genuine differentiators if your product's analytics use case is AI-heavy.
Yurbi's AI roadmap is built on our semantic layer, which already understands your data model and security policies. We're being deliberate about it: AI-generated queries that ignore tenant boundaries in a multi-tenant product aren't a feature — they're a data breach. We'll ship AI when it's safe to put in front of your customers. If AI analytics are critical to your product today, Yurbi is not the right fit right now, and we'd rather tell you that than have you find out after you've built on us.
Sisense's proprietary data engine is called ElastiCube. When you need genuine data isolation between tenants — which most ISVs do — the standard approach is one ElastiCube per tenant. Each ElastiCube carries its own cost and management overhead. Sisense doesn't publish per-ElastiCube pricing; anecdotal user reports cite around $10,000 per ElastiCube, so per-tenant costs can add up quickly before counting the base platform fee, OEM licensing, or implementation.
This is the mechanism that takes Sisense's headline starting number and multiplies it as your ISV scales. Yurbi handles multi-tenant isolation at the platform level — tenant groups, row-level security, and dynamic data source routing are all included at a flat tier price. Adding a new customer doesn't change your annual subscription.
Being direct: Yurbi has no AI or NLP analytics features yet. Embedding is iframe and API only (developer docs) — there's no JS SDK for in-page programmatic interactivity the way Sisense's Compose SDK supports. SSO is session-token based via our DoLogin API, not SAML or OIDC — native SAML/OIDC is in development. Sign-in does include two-factor (app, email, or text), Cisco Duo, breached-password screening, and account lockout. Dashboard interactivity is parameter and global-filter driven; there's no associative click-through between widgets. Mobile is functional but not a selling point. ARM architecture is not supported.
If those gaps are blockers for your use case, tell us in a demo and we'll give you an honest fit assessment. We'd rather you find out now.
Download the Yurbi trial today. Connect it to your database. Configure your tenant structure. You can have a working embedded dashboard in your product within days. Full production deployment — with your branding, your SSO configuration, and your customer data — typically takes 2–6 weeks depending on data architecture complexity.
Sisense offers a 7-day self-serve trial, but a production OEM deployment typically moves through a sales conversation and a scoped implementation engagement. One customer-reported (anecdotal) account describes a 14-week timeline and about $89,000 in first-year implementation costs before the first production embed. Yurbi's trial is the full self-hosted platform, downloaded and installed on your own infrastructure with no sales call.
