This is a short deck comparing Pyramid Analytics to Sisense, focusing on the core differences showing strengths and weaknesses.

1. Pyramid vs Sisense

2. Data Engine & Scalability
Sisense
• ElastiCube: single, proprietary choice
• 500GB limit
• Single node only per cube; limited scale out options
• Ingestion only. No true direct querying options
Pyramid
• Multiple, mix-and-match, ‘open’ engines
• Unlimited Sizing
• Multiple scale up or out strategies
• Ingestion or true direct querying
ElastiCube In-Memory:
Pyramid, SAP Hana
MS OLAP/Tabular
MPP:
Teradata, Exadata
Veritica, Netezza
Relational:
Oracle, SQL Server,
DB2, Sybase, Postgres
Cloud:
Redshift, Snowflake
BigQuery, SQL Azure
Big Data / Unstructured:
Apache Presto / Drill,
Mongo
Data Engine ≠ Data Source
Data sources are required to
populate data engines.
Data
Sources

3. Visualizations & Analytics
Sisense
• Simple things are easier
• Time to basics = VERY FAST
• Advanced Analytics ONLY through code
• Requires a developer
• Time to real world analytics = VERY LONG
Pyramid
• Simple things are easy
• Time to basics = FAST
• Advanced Analytics requires NO CODE
• Point-and-Click
• Time to real world analytics = VERY SHORT

4. Publishing, Data Prep & Extensibility
Sisense
• Solid REST API Framework
• Embedding via IFRAMES: old & unscalable
• Basic data preparation tools without ML
• No Publishing or Printing capabilities
Pyramid
• Extensive REST API Framework
• Embedding via DIV tags: modern HTML5 & scales
• Comprehensive data preparation tools with ML
• End-user report publisher with pixel perfect printing
< />
ML
< />
API Embed
Data Prep Publishing
API Embed
Data Prep Publishing

5. Governance & Management
Sisense
• Basic content management
• No data lineage, no content versioning
• No multi-tenancy, rights control; limited security options
• No meta data layering. Data security for ElastiCube only
Pyramid
• Powerful content management
• Data lineage, versioning
• Multi-tenant, deep rights control and security options
• Meta data layering with complete data security on all sources
Content Management Data Lineage, Versioning
Multi-tenancy +
Central Security
Metadata for
All data sources
Content Management Data Lineage, Versioning
Multi-tenancy +
Central Security
Metadata for
All data sources

6. Price
Sisense
• Cost driven by users and data
• Cost increases based on data footprint size
• Pay MORE to use more
• Deployments start at $20k/year minimum
Pyramid
• Cost driven by user only
• No cost change for data footprint
• Pay the SAME to use more
• The first 3 users are free.

7. Conclusion
Sisense
Best used in
small departments,
with small data
and simple requirements.
Pyramid
Best used
everywhere else.