Software · head to head
Oracle Analytics Cloud vs Sisense
The short version
- Each has a real cost: Oracle Analytics Cloud no dedicated mobile application for on-the-go access; Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
- They diverge on capability: Oracle Analytics Cloud covers Self-service Analytics, Sisense covers Embedded Analytics.
Where they differ
Only the attributes on which Oracle Analytics Cloud and Sisense actually diverge.
| Attribute | Oracle Analytics Cloud | Sisense |
|---|---|---|
| Starting price | $16/month | $10000/year |
| Pricing model | subscription | Unknown |
| Platforms | Web | Web, Cloud, On-premises |
| Founded | 2016 | 2004 |
Identical on both: free tier (No), user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Oracle Analytics Cloud
- Self-service Analytics
- Augmented Analytics
- Data Preparation
- Natural Language
- Mobile
- Oracle Database
- Oracle ERP
- Workday
Only in Sisense
- Embedded Analytics
- AI/ML Integration
- In-chip Technology
- White-labeling
- REST API
- AWS
- Azure
- Google Cloud
Both cover
- Salesforce
- Snowflake
- Web support
- Mobile support
What people use each for
The jobs each tool is most often brought in to do.
Oracle Analytics Cloud
- Self-service analytics
- Data exploration
- Ad-hoc reporting
- Collaborative analysis
- Embedded analytics
Sisense
- Self-service analytics
- Data exploration
- Ad-hoc reporting
- Collaborative analysis
- Embedded analytics
Both are used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis, embedded analytics, on those jobs the choice comes down to price and fit rather than capability.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Oracle Analytics Cloud
- No dedicated mobile application for on-the-go access
- Limited documentation for collecting data from on-premise services
- Performance issues and occasional software glitches requiring re-login
- Expensive for small businesses and organizations with limited budgets
Sisense
- Pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
- Limited connector ecosystem compared to competitors; missing native connectors to many data sources
- Dashboard customization options are limited; widgets cannot span multiple rows, restricting layout possibilities
- Performance issues reported with large datasets and stability problems with data cubes
Pricing, plan by plan
Oracle Analytics Cloud
$16/month- Professional$16/month
- Self-service Analytics
- Reporting
- Dashboards
- Enterprise$80/month
- Advanced Analytics
- ML Models
- Premium Support
Sisense
$10000/year- Small Team$10000/year minimum
- Basic analytics dashboards
- Limited data sources
- Mid-Market$null/custom
- Advanced analytics
- Multiple data sources
- Custom integrations
- Enterprise$60000/year+
- Advanced AI analytics
- Premium support
- Custom development
Which should you pick?
Choose Oracle Analytics Cloud if
- You need self-service analytics.
- You also want augmented analytics.
Choose Sisense if
- You need embedded analytics.
- You work on Web, Cloud, On-premises.
- You also want ai/ml integration.
Questions people ask
- Is Oracle Analytics Cloud or Sisense better?
- Neither clearly leads. Oracle Analytics Cloud starts at $16/month and Sisense at $10000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Oracle Analytics Cloud or Sisense?
- Oracle Analytics Cloud starts at $16/month and Sisense at $10000/year.
- Does Oracle Analytics Cloud or Sisense run on more platforms?
- Oracle Analytics Cloud runs on Web. Sisense runs on Web, Cloud, On-premises.
- What is Oracle Analytics Cloud best used for?
- Oracle Analytics Cloud is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis.
- What can Oracle Analytics Cloud do that Sisense cannot?
- Oracle Analytics Cloud covers Self-service Analytics, Augmented Analytics, Data Preparation, Natural Language. Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling. Both handle Salesforce, Snowflake, Web support, Mobile support.
Answered from the vendors’ own pages
Oracle Analytics Cloud: What data sources does Oracle Analytics Cloud support?
Oracle Analytics Cloud connects to relational databases, cloud applications, and big data platforms. It integrates with Salesforce, Snowflake, Azure Synapse Analytics, Google BigQuery, Amazon Redshift, and the Oracle ecosystem.
SourceSisense: What is Sisense primarily used for?
Sisense is an embedded analytics platform that combines data ingestion, modeling, and dashboarding, allowing organizations to embed analytics and insights directly into their applications and workflows.
SourceOracle Analytics Cloud: What are the pricing tiers for Oracle Analytics Cloud?
Oracle Analytics Cloud offers a Professional plan at $16/user/month and an Enterprise plan at $80/user/month. BYOL pricing is $0.3226/OCPU/hour base plus $1.0753/hour (Professional) or $2.1506/hour (Enterprise).
SourceSisense: Does Sisense have a transparent pricing model?
Sisense pricing is not publicly listed and requires contacting sales. Typical costs start at $10,000 per year for small teams but can scale to $60,000+ annually depending on users, data volume, number of data sources, and complexity. AI capabilities typically add 20-30% to base costs.
SourceOracle Analytics Cloud: Does Oracle Analytics Cloud have a mobile app?
No, Oracle Analytics Cloud lacks a dedicated mobile application, which is considered a significant limitation by users who need mobile access to dashboards and reports.
SourceSisense: What data sources can Sisense connect to?
Sisense provides pre-built connectors for popular applications including Salesforce, Google Analytics, Zendesk, and others. It also supports custom connections through APIs and SDKs for specialized data sources.
SourceSisense: Is Sisense easy to use for non-technical users?
Sisense requires significant technical expertise to set up, particularly for creating Elasticubes (database caches) which often need SQL code. While it promotes codeless reporting, typical implementations require a technical resource.
SourceRelated pages
More on Oracle Analytics Cloud
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