Hide+ BI & Analytics
Are you sure you need another IT fabric like Hadoop or Teradata, an in-memory or columnar database like HANA or Vertica, a DB or ELT appliance like Exadata or Netezza, or a complex ETL tool like Informatica or Ab Initio? And do you have the time, money and expertise to take that on?
If your answer is no, or maybe not, know that 5-figure IRI software integrates and transforms big data in the file systems you already have. IRI CoSort is extremely fast, proven, and has a low learning curve.
If you answered yes -- because you want to leverage the power of Hadoop on commodity hardware -- try the new IRI Voracity platform. Combining data discovery, integration, migration, governance, and analytics, Voracity gives you big data manipulation and masking options not only through CoSort, but also through MR2, Spark, Storm and Tez.
Click the box below to see the seamless processing choices that only IRI Voracity delivers for big data transformation, masking, and generation. Whether you run in your existing file system or HDFS, you will use the same data and job definition metadata -- and the same free Eclipse IDE to manage it all, IRI Workbench!
IRI Voracity leverages the performance, scalability, load balancing, and automatic failover capabilities of MapReduce 2 (MR2), Spark, Storm, or Tez. Voracity runs most CoSort (SortCL) jobs in these engines based on availability and need. Voracity works in Cloudera, HortonWorks, and MapR distributions. IRI will also provide its own Hadoop distribution on-premise or in the cloud, and later in a hardware appliance that includes everything.
IRI CoSort, the proven big data processing alternative, provides fast, intuitive, inexpensive, and non-disruptive processes. It removes the skills gap and mitigates the failure risks of Hadoop, and it does not require the time, money, or manpower to leverage big data. CoSort is a low-cost, low-impact, and low-risk option essential for small and medium-sized business or enterprise line of business teams.
With Voracity, it's no longer a matter of homogeneous data processed heterogeneously, or vice versa. It's about having a seamless, unified, metadata-driven enterprise information architecture ... one that gives you control over heterogeneous data sources and processing engines ... and one that meets changing data integration, governance, and analytic needs.