Datameer X makes it easy for data engineers to ingest and export structured and unstructured data in and out of a Hadoop data lake, curate data sets from Hadoop for business team consumption, for data scientists to prep, cleanse, and pre-process large Hadoop data sets to feed machine learning models, and for business teams to perform analytics on large data sets in a simple spreadsheet-like UI. Extract value out of your Hadoop data lake with Datameer X today!
Curate analytics-ready datasets out of Hadoop via a point and click interface. Save hours of coding. Support all sorts of data sources and destinations.
Build robust data pipelines in and out of Hadoop. Directly upload data, or use unique data links to pull data on demand. Datameer X integration process is optimized with robust sampling, parsing, scheduling, and retention tools.
Business analysts can slice data using any attribute and aggregate any value with immediate results. No need for predefined indexes. No running jobs. Our schema-less architecture, dynamic indexing, and rapid micro-scans mean data loads instantaneously.
Data Scientists use Datameer X to extract the data they need from the Hadoop data lake, clean, pre-process large data sets for training models. They can code in Python and R or use pre-built data science functions such as pivot tables, one-hot encoding, text analysis, and more.
Datameer X’s unique native-on-Hadoop architecture gives you the power of Hadoop while abstracting away the complexity, eliminating the need for complex programming and maintenance.
Datameer processes data natively in the Hadoop cluster so that you can scale out on large data sets. Don’t suffer the latency of having to move your data first.
Datameer’s architecture is designed to discover your schema on-the-fly allowing for quick integration of new data sets. Our easy spreadsheet-style transformations put your data in the hands of analysts without writing any code.
Separation of storage and compute for cost savings in the cloud. Datameer enables dynamic elasticity with an architecture that separates storage from compute. Scale-out jobs on large data sets. Compute power is then deallocated when the job is done to reduce costs.
Easily spin up new environments for workloads. Meet every SLA. Instantaneously deploy new environments for new business and/or analytics initiatives. We deliver the power and reliability needed for the most data-intensive jobs.
Democratize data with strong yet flexible governance. Leverage advanced governance with fine-grained security with plug-in integration to enterprise access control in LDAP, Active Directory, and Kerberos. Datameer also integrates into other user management systems.