The Vendor Landscape of BI and Analytics

“In God we trust, all others bring data”

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The “Raw Data -> Aggregated Data -> Intelligence -> Insights -> Decisions” is a differentiating causal chain in business today.  To service this “data->decision” chain a very large industry is emerging.

The Business Intelligence, Performance Management and Data Analytics is a large confusing software category with multiple sub-categories — mega-vendors (full stack, niche vendors, data discovery, visualization, data appliances, Open Source, Cloud – SaaS, Data Integration, Data Quality, Mobile BI, Services and Custom Analytics).

But the interest in BI and analytics is surging. Arnab Gupta, CEO of Opera states why analytics are taking center stage, “We live in a world where computers, not people, are in the driver’s seat. In banking, virtually 100% of the credit decisions are made by machines. In marketing, advanced algorithms determine messages, sales channels, and products for each consumer. Online, more and more volume is spurred by sophisticated recommender engines. At Amazon.com, 40% of business comes from its “other people like you bought…” program.”  (Businessweek, September 29, 2009).

Here is a list of vendors who participate in this marketspace:

BI Mega-Vendors (Full Stack)	SAP – Business Objects, Sybase Oracle- Hyperion, Siebel Microsoft – Proclarity, PowerPivot, PerformancePoint IBM – Cognos, SPSS, Netezza SAS Institute
BI Vendors	Microstrategy Information Builders Actuate
Data Discovery and Visualization  In-memory Analytics, Visualization/Dashboards, Usability/self-service, Light footprints/fast to deploy, Fast proof of concepts)	Qliktech Tibco Spotfire Tableau Software KXEN Board International LogiXML ADVIZOR Solutions Arcplan Corda
Integrated BIG Data Appliances (Tera and Petascale In-Memory Data Warehouses)	EMC Greenplum Teradata IBM Netezza Oracle Exadata HP Vertica SAP Sybase/HANA Kognitio Microsoft Fast Datawarehouse; Parallel Datawarehouse Paraccel Analytic Datawarehouse runs on 3rd party hardware
Open Source BI	Actuate BIRT Jaspersoft Pentaho, SpagoBI, Vanilla
Cloud – SaaS	Sales – Salesforce.com Analytics Retail – Salient Management Company Pure Play vendors – 1010data,  Birst, GoodData, Oco, myDials, PivotLink
Data integration software vendors	Informatica IBM (which acquired Ascential Software, Cast Iron Systems, Cognos, Data Mirror, Initiate Systems, and SPSS) Microsoft Oracle (which acquired BEA Systems, GoldenGate Software, Hyperion Solutions, Siebel, SilverCreek, Sun Microsystems, and Sunopsis) SAP (which acquired Sybase, Business Objects( previously acquired FirstLogic)) SAS Institute
Data quality players	Informatica  (which acquired Siperian (Master Data Management (“MDM”)) SAP, Trillium (which is part of Harte-Hanks), SAS Institute
Emerging Mobile BI Vendors	RoamBI, SmartGlance, Transpara, Yellowfin, Webalo, Visual KPI Baseplan Software,  BI Flash, Context!, key2value, PushBI, ReportPad
ETL Vendors	Informatica PowerCenter iWay Software DataMigrator Pervasive Software Data Integrator SyncSort DMExpress Talend Open Studio Oracle Data Integrator (ODI, formerly Sunopsis) Business Objects (SAP) Data Integrator SAS Institute Data Integration Studio Oracle Warehouse Builder (OWB) Ab Initio CoOperating System IBM DataStage/Information Server Microsoft SSIS (SQL Server Integration Services, Formerly DTS) SAP PI (Process Integration, formerly XI/Exchange Infrastructure) Saama – SypherLink (NIEM Standard)
BI and Analytics Services Vendor	Saama Technologies – pure play BI vendor Accenture IBM Opera Solutions Tata Consulting Services (TCS) Deloitte (Custom Analytics)

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Big Data Startup and Existing Companies to Watch

• Emerging Players — Cloudera, DataStax, Northscale, Splunk, Palantir, Factual, Kognitio, Datameer, TellApart, Paraccel,  Hortonworks
• Established Players — EMC Greenplum , HP Vertica,  IBM/Netezza, Microsoft, Oracle ExaData,  SAP HANA, Teradata (acquired Aster Data)
• Big Data as a Service – Opera Solutions

HP Vertica Features – Similar Features offered by other vendors
Low-latency “in-time” analytics Up to 10x better load performance 50–1000x faster query performance than traditional row-stores Hybrid in-memory/on-disk architecture Keep data close to the processor/core	Large scale, multi-use workloads Simple install/use with auto setup and tuning High scalability and full parallelism Runs on Red Hat Enterprise Linux Commodity hardware – ProLiant x86 Hadoop Connector

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The BI and Analytics Stack is getting incredibly complex.  

Given the complexity and the non-linear innovation taking place we expect the market fragmentation to continue for a while before we see a wave of consolidation.