ParAccel vs. Spoom

Actian matrix is not good for small data sets. If you have a limited data pool, or do not plan on having multiple users/clients accessing a data source, stick with a more traditional relational database model - Access for the truly small user base, or a DB2 or Oracle back end if your going to have multiple users, and moderate sized data. Actian is for LARGE data sets (Big Data, in the industry parlance). Millions of rows of data from multiple sources with various down stream systems accessing the database. It is for data analytics of large data groups and intense data mining.

Incentivized

It is well suited when you have several sources of data.

• Super fast. Aggregate query such as SUM(), Count() returns result within seconds from a table with more than billion records.
• Excellent data compression.
• Easy maintenance. We managed this database without having a full time DBA.
• Support ANSI SQL and ODBC/JDBC. It's easy to connect to this database from other systems.

Incentivized

• Easy to use
• Focus on analyzing and not on finding and loading data
• "One version of the truth"

• Some of the bugs were annoying and QA definitely needs improvement
• Connectivity to Informatica and ETL providers
• Workload management could be better like when you compare with Teradata

Incentivized

• I would like to have more modules. Eg. : supply chain tool.

I wish to give higher rating for the speed and efficiency in handling the queries, but only 6 because of consistent bugs we encounter

Incentivized

• Faster initial response
• Trained professionals
• Very helpful in resolving issues

Incentivized

Leader failover setup is the toughest and lack of proper documentation is making things tough.

Incentivized

Actian Matrix is our first big data analytics storage platform, and as I was not involved in the POC process to compare it to other products out on the market, unfortunately I cannot say if it is better than other Big Data storage options. I can say that it out performs products such as Oracle or UDB in regards to the volume of data it can easily index and handle.

Incentivized

Cognos is very expensive and needs heavy IT-team to implement it.

• ROI is great, less spending on full time DBA and that money could be use to add additional node.
• Negative - Not many developers are well aware of this tool, it takes some time to learn.

Incentivized