OLAP Database Awesome

Database

• clickhouse
  • ClickHouse/clickhouse-js
    • ClickHouse 官方 JavaScript client。
• kylin
• trinodb/trino
  • 之前的 presto
• greenplum
• apache/pinot
• prestodb/presto distributed SQL query engine

BI and Analytics

• BEE - http://bee.insightstrategy.cz/en/index.html
• BIRT - http://www.eclipse.org/birt
• JasperSoft – http://www.jaspersoft.com
• MarvelIT - http://www.marvelit.com/dash.html
• OpenI – http://openi.sourceforge.net
• OpenReports – http://oreports.com
• Orange - http://www.ailab.si/orange
• Palo – http://www.palo.net
• Pentaho - http://www.pentaho.com
• R - http://www.r-project.org
• SpagoBI – http://spagobi.eng.it
• Weka - http://www.cs.waikato.ac.nz/~ml/index.html
• VitalSigns - http://vitalsigns.sourceforge.net/

Integration

• Apatar - http://www.apatar.com
• CloverETL - http://cloveretl.berlios.de/
• JitterBit - http://www.jitterbit.com/
• KETL - http://www.ketl.org
• Octopus - http://www.enhydra.org/tech/octopus/index.html
• OSDQ - http://sourceforge.net/projects/dataquality
• Pentaho - http://www.pentaho.com
• Red Hat – http://www.redhat.com
• Saga.M31 Galaxy - http://galaxy.sagadc.com
• Talend - http://www.talend.com
• SnapLogic – http://www.snaplogic.com

参考

• https://stackoverflow.com/a/3350180/1870054
• Building a Data Warehouse
  1. Understand the Data Sources
  2. Compare the Data
  3. Modify the Data Warehouse Model
  4. Test Performance
  5. Rinse and Repeat