Likelihood to Recommend 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.
Read full review It is well organized. One can use it for the company's portfolio management. Various tasks can be done for managerial purposes. One can track the material from start to end product: for example, raw material, packing material & consumable material to formulated bulk and formulated drug product. This can help to manage spending as well as finding costing of the product.
Read full review Pros 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. Read full review Real-time reporting and analytics on data: because of its in-memory architecture, it is perfect for businesses that need to make quick decisions based on current information. Managing workload with complex data: it can handle a vast range of data types, including relational, documental, geospatial, graph, vector, and time series data. Developing and deploying intelligent data applications: it provides various tools for such applications and can be used for machine learning and artificial intelligence to automate tasks, gain insights from data, and make predictions. Read full review Cons 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 Read full review Requires higher processing power, otherwise it won't fly. How ever computing costs are lower. Incase you are migrating to cloud please do not select the highest config available in that series . Upgrading it later against a reserved instance can cost you dearly with a series change Lack of clarity on licensing is one major challenge Unless S/4 with additional features are enabled mere migration HANA DB is not a rewarding journey. Power is in S/4 Read full review Likelihood to Renew At this moment we are not focusing on SAP, however would love to in the future. This is primarily because of our limited ability to generate more revenue to fund for SAP partnerships and products. Our initial tryst with SAP Partneredge open ecosystem didn't go as planned and we have shelved that for now. Hope we can revive in the future
Read full review Usability I wish to give higher rating for the speed and efficiency in handling the queries, but only 6 because of consistent bugs we encounter
Read full review In addition to the points described in the previous parts of the review, I believe that as I gain more experience with the product over time, I will be able to better describe my experience with this tool. Meanwhile, I can confirm that the possibilities presented to my organization by the change to SAP HANA, at the moment, have been very important to evolve the analytical and strategic field towards a new path.
Read full review Support Rating Faster initial response Trained professionals Very helpful in resolving issues Read full review One specific example of how the support for SAP HANA Cloud impacted us is in our efforts to troubleshoot and resolve technical issues. Whenever we encountered an issue or had a question, the support team was quick to respond and provided us with clear and actionable guidance. This helped us avoid downtime and keep our analytics operations running smoothly.
Read full review Implementation Rating Leader failover setup is the toughest and lack of proper documentation is making things tough.
Read full review Professional GIS people are some of the most risk-averse there are, and it's difficult to get them to move to HANA in one step. Start with small projects building to 80% use of HANA spatial over time.
Read full review Alternatives Considered 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.
Read full review I have deep knowledge of other disk based DBMSs. They are venerable technology, but the attempts to extend them to current architectures belie the fact they are built on 40 year old technology. There are some good columnar in-memory databases but they lack the completeness of capability present in the HANA platform.
Read full review Scalability Limitation of training deliverable by organization
Read full review Return on Investment 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. Read full review ROI has always been high in terms of the functionality that it offers and the security features it comes with. Managing large volumes of data in real-time is not an easy task, but it does it pretty well with faster data processing. Read full review ScreenShots