Sisense vs SPS Analytics
Sisense
sisense.comSPS Analytics
spscommerce.comSide by side
| Figure | Sisense | SPS Analytics |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 3 | 3 |
| Spec score · Business Intelligence Tools | 9.0 (#7) | 7.8 (#50) |
| Deployment | hybrid | cloud |
| Rating on G2 | 4.2 out of 5 from 1,064 reviews | 4.5 out of 5 from 27 reviews |
| Rating on GetApp | 4.5 out of 5 from 378 reviews | 4.2 out of 5 from 528 reviews |
| Rating on Trustpilot | 0 out of 5 from 0 reviews | 2.5 out of 5 from 22 reviews |
| Security | Sisense lists ISO 27001, ISO 27701, SOC 2 Type 2, HIPAA, GDPR, and CCPA among its compliance frameworks. | SPS’s Trust Center describes its data protection program and lists controls including audit logging, role-based access control, backups, and encryption at rest. |
| Security certifications | Sisense lists SOC 2 Type 2, ISO/IEC 27001, ISO/IEC 27701, ISO/IEC 42001:2023 and HIPAA in its Trust Center. | SPS says its security framework is based on ISO/IEC 27001 and that it maintains ISO/IEC 27001:2013, SOC 1 Type 2 and SOC 2 Type 2 certifications. |
| Self-hosting | Enterprise customers can deploy Sisense on SaaS, their own AWS, Azure or GCP cloud, or on-premises. | The product is described as cloud hosted, with no self-hosted deployment option stated. |
| Support | The Enterprise plan includes premium support and a dedicated customer success manager. | Analytics support is offered by email and phone in the US, Europe and Australia; SPS also advertises 24/7/365 global support for its products. |
| What it does | Sisense is an embedded AI analytics platform that puts governed analytics and AI inside customer-facing products and workflows. | SPS Analytics, now presented as Decision Intelligence, connects retail sales, inventory and item-performance data so suppliers can make operational decisions. |
Plans
SPS Analytics
- Decision IntelligencePriced on request
- SPS Analytics PlusPriced on request
- SPS Analytics SelectPriced on request
In their own words
Sisense
Sisense is an AI analytics platform for modeling, visualizing, and embedding analytics in applications. It supports web, API, and self-hosted use, with hybrid deployment and real-time data refresh. Teams can connect through live, ElastiCube, or hybrid approaches; listed data sources include Snowflake, Amazon Redshift, Google BigQuery, and Azure Synapse. Analytics can be embedded with iframes, SDKs, or APIs, including Compose SDK. Its AI features include natural-language queries, narratives, forecasts, and trend analysis. Governed semantics, semantic enrichment, and access controls help align analytics and AI with consistent business definitions. Sisense also says MCP can let tools such as ChatGPT and Claude access governed data models and return structured insights. Row-level security and scheduled reports are available. The Self-Serve plan is intended for startups and growing teams and includes data connections, natural-language queries, auto-narratives, an assistant, and embedding. Enterprise adds SaaS, dedicated cloud, or on-premises deployment, column-level security, SSO, a 99.99% Premium SLA, and the full Sisense Intelligence AI suite. Sisense offers a full-featured 7-day trial; there is no free plan, and pricing is available on request.
SPS Analytics
SPS Analytics is a cloud, web-based Decision Intelligence platform from SPS Analytics in Minneapolis, Minnesota. It connects retail sales, inventory, and item-performance data for supplier decisions. SKU- and location-level sales across retailers and channels are linked with sell-through and inventory information to support forecasting, replenishment, and allocation. Users can monitor days of supply, distribution gaps, and performance changes while working to rebalance inventory, reduce excess stock, prevent stockouts, and avoid markdowns. SPS retrieves, validates, and standardizes data from trading partners, then matches enriched performance data to a supplier’s catalog. Results can appear in dashboards, scheduled reports, files, or cloud integrations with business-intelligence and planning systems. Customers using Snowflake or Databricks can receive validated retail data in those environments. Refreshes are daily where retailers provide daily data and weekly for many others; store-level and margin visibility depend on available data. Implementation varies by data sources and scope, with structured onboarding. Pricing is on request.