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Arenadata Enterprise Data Platform

Single platform to handle Big Data complexity

Arenadata Enterprise Data Platform (EDP) enables native integration of services and components, centralized monitoring, and cluster management.
Arenadata Enterprise Data Platform (EDP) is an Open Source based solution easy to install, configure, manage, and use that can handle any workload and process large data volumes in any environment, including public and private clouds.
SOURCES
data & cluster managment
Arenadata Cluster Manager (ADCM) is a universal hybrid landscape orchestrator that helps promptly deploy, configure, and manage all of a company’s data services, regardless of infrastructure.
STREAMING
ESB / MB / MQ
Arenadata Streaming (ADS) is a scalable, fault-tolerant solution for data stream processing in real time, adapted for corporate use and built on Apache Kafka and Apache Nifi.
STORE and data marts
RELATIONAL DBMS
DBMS for efficient work with loads of different profiles (primarily OLTP), with additional Enterprise functionality, as well as corporate support and documentation.
Fast flat marts
Arenadata QuickMarts (ADQM) is a cluster column-oriented DBMS that is built on ClickHouse and is dramatically faster than traditional DBMS solutions.
big data warehouse
Arenadata DB (ADB) is a distributed analytical MPP DBMS based on an open source Greenplum database. ADB is built on a cluster of servers and designed to store and process large data volumes (up to dozens of petabytes).
cold / unstructed
Arenadata Hadoop (ADH) is an enterprise distribution package based on Apache Hadoop and designed for storing and processing semi-structured and unstructured data.
usage and visualization
Any BI tools compatible with JDBC/ODBC, BI/ Reporting
Ad-hoc
Data Science
Other solutions and services
Hover over a platform component to learn more about it.

Digital Company Platform

Arenadata EDP provides technology basis for a modern digital enterprise, helping implement relevant data management scenarios. Arenadata cooperates with the largest companies across different sectors, thus increasing its expertise and offering customers advanced methodologies for a smart digital enterprise.

Typical use cases

Large enterprise data storages
Alternative to expensive engineering systems
Machine Learning and Artificial Intelligence
Data Lakes and Data Factories
Large enterprise data storages
  • Traditional enterprise data storages and large data warehouses being updated in real and near-real time
  • Data virtualization and federation, single point of access to all data (SQL queries)
Alternative to expensive engineering systems
  • Moving to domestic hardware and software complexes powered by open-source-based massively parallel Arenadata DB and Arenadata QuickMarts
  • Transparent migration approach and minimum risks while retaining all benefits
Machine Learning and Artificial Intelligence
  • Support of R, Python, and Madlib, including CUDA-enabled computing on GPU
  • Spark-based distributed ML
  • Effective model operation in SQL environment using Madlib built-in functions
Data Lakes and Data Factories
  • Single hub for all company data
  • Fast deployment and configuring of sandboxes for pilot projects and statistical hypothesis checks
  • All analytical tools accessible in unified environment

Why Arenadata EDP

Implementation of the most demanded business scenarios
Storage of all types of data: structured, semi-structured, unstructured and any type of load: OLAP, OLTP, Streaming
Single management and monitoring system for the entire platform
Support of Multi-clouds, a hybrid platform for both on-premise and cloud deployments
Simple integration with external systems
Custom component for each load type
High performance thanks to linear scaling and cluster technology
Native fault tolerance of all components

Arenadata EDP vs. Open Source Builds



Each added Open Source component is already adapted to the unified Enterprise Data Platform.

Capabilities:

Mature data ecosystem with unified monitoring and management across all platform clusters
Modular structure and replaceable components for streamlined integration into existing landscape
Components for any tasks
Single entry point for all SQL queries thanks to native data virtualization and parallel pushdown optimization across all storage components
Truly END-TO-END solution
Code analysis
Integration with monitoring module
Fault-tolerance checks
Recruitment of competent support personnel
Further development of parallel integration capabilities
Many other checks and improvements

Data storage and processing software

Arenadata DB (ADB)

It is a distributed analytical MPP DBMS built on a cluster of servers and designed to store and process large data volumes (up to dozens of petabytes).
more

Arenadata Hadoop (ADH)

It is an enterprise distribution package based on Apache Hadoop and designed for storing and processing semi-structured and unstructured data.
more

Arenadata QuickMarts (ADQM)

It is a cluster column-oriented DBMS to promptly analyze large data volumes while also reducing the load of your data storage system.
more

Data streaming software

Arenadata Streaming (ADS)

It is a scalable, fault-tolerant solution for data stream processing in real time, adapted for corporate use.
more

Data landscape management software

Arenadata Cluster Manager (ADCM)

It is a universal hybrid landscape orchestrator that helps promptly deploy, configure, and manage all data services, regardless of infrastructure.
more

Arenadata Services

Digital landscape audit

Company’s IT specialists and management learn how to: optimize data and digital service landscape to meet current and future business needs.
more

Architectural Control

We provide a proven vendor opinion on the implementation project, so that you can make the right architectural decision in a tricky situation either working with a contractor or helping your own team.
more

Smart Start

A service package that covers Arenadata platform installation and configuring, Arenadata product integration into customers’ data infrastructure,briefings for administrators, and some other less critical but useful activities.
more

DBA as a service

Each DBMS needs highly skilled database administrators, but such specialists are hard to find and train. DBAaaS provides non-stop support for your clusters, with no human errors.
more

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