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

Pyramid Analytics vs Sisense

  • 1.
  • 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 drivenby 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 smalldepartments, with small data and simple requirements. Pyramid Best used everywhere else.