DATA IN MOTION
Anatella handles tables with billions of rows and thousands of columns even on small infrastructures.
Develop complex data transformations faster using an intuitive interface that requires no code.
Automate any digital process. In a few clicks, put your graphs into production to execute them automatically at recurring time intervals.
With more than 400 boxes available, anything is possible. If necessary, use the collaborative framework to easily create new boxes (in R,Python,JS).
Fast data management
Extract, clean, aggregate or join any datasets faster than ever and easily inject them into a RDBMS, a BI tool, a modeling tool or into R/Python.
Perform any data quality and data cleaning tasks on large data volumes. Anatella cleaning procedures are optimized to work on several billion rows.
R and Python integration
Anatella offers an abstraction layer around the code that allows analysts and coders to communicate smoothly and make progress in a collaborative way. Everybody can bring meaningful contributions to solve the analytical problem at hand, without any technological barriers.
Automatically updates for you all the charts and graphs of your MS Office reports at very high speed (and with a system that you can easily maintain and improve!).
Built for Machine Learning
Anatella includes advanced Text Mining, Data mining and Graph Mining capabilities. Anatella also includes many functionalities tailored for predictive modeling such as feature engineering, meta-data-free transformations, etc.
Built For Iterative Work
BI, Analytics and Predictive Analytics projects are characterized by their “exploratory” nature. That’s why Anatella allows quick iteration over different variations of your data transformations.
Run Social Network Analytics (SNA) and Graph Mining algorithms on large graphs with several dozens millions of nodes and several billions of arcs (to compute Communities, Social Leaders, etc.).
Store vast amount of data with less disk space thanks to Anatella’s exclusive .gel and .cgel file formats (2 TB in a data base is equivalent to 20 GB in .gel format).
Hadoop & Spark Integration
Easily integrates with Hadoop&Spark with the fastest code inside the ecosystem to read/write .parquet files. However, we suggest that you avoid using these technologies because they are very inefficient: more details here.
Inject practically any type of data inside your Data WareHouse (based on MS_SQLServer, Oracle, Teradata, etc.) and the other way around. Anatella fully supports even the most exotic database engines.
Deploy & Execute your data transformations on your production server/cluster in a few mouse-clicks. Your Anatella graphs runs on both Windows and Linux servers (using Wine).
(IoT and Http)
Anatella works both in classical “batch mode”, but also in real-time streaming mode. Anatella makes direct connection to common IoT brokers straightforward and easy, while sustaining practically unlimited simultaneous connections.
& No Cloud required.
The dataset sizes that you can manipulate with Anatella are only limited by the size of your drive and not by your RAM. For 99% of the companies, Anatella’s engine is so efficient (both in terms of computation speed and in terms of data compression for storage) that one ordinary laptop is more than enough to handle all the tasks at hand (and thus no cloud is required!).
It takes less than a minute to install or update the TIMi Suite. Thanks to the portable version of Anatella (on a USB stick), you can safely run Anatella anywhere.
Low licensing cost
With Anatella, you can process all your data as often as you need it (i.e. no “data tax” and the “cloud costs” are reduced to the minimum).
“The optimal solution to extract advanced Social Network Algorithms metrics out of gigantic social data graphs.”
“We reduced by 10% the churn on the customer-segment with the highest churn rate.”
“TIMi framework includes a very flexible ETL tool that swiftly handles terabyte-size datasets on an ordinary desktop computer.”