AtScale Adaptive Analytics (A3) vs Datameer comparison

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Ranking
3rd
out of 8 in BI on Hadoop
Views
40
Comparisons
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1st
out of 8 in BI on Hadoop
Views
52
Comparisons
49
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0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
AtScale, AtScale Intelligence Platform
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Overview

AtScale is the leading provider of intelligent data virtualization for big data analytical workloads, empowering citizen data scientists to accelerate and scale their business’ data analytics and science capabilities and ultimately build insight-driven 

AtScale connects people to live disparate data without the need to move or extract it, leveraging existing investments in big data platforms, applications and tools. AtScale creates automated data engineering using a single set of semantics so consumers can query live data (either on premise or in the cloud) in seconds without having to understand how or where it is stored—providing security, governance and predictability in data usage and storage costs.

Benefits:

No data movement: AtScale is agnostic to data platforms and data location, whether on-premises or in the cloud, in a data lake or a data warehouse.

Automatic “smart” aggregate creation: AtSacle’s intelligent aggregates adapt to the data model and how it is used, automating the data engineering tasks required to support those activities and reducing time spent from weeks to hours.

Use your existing BI and AI tools: AtScale provides access to live, atomic-level data without the user needing to understand where or how to access the data, so you can keep using your tools of choice.

No more extracts or shadow IT: AtScale eliminates the need for extracts with a single, consistent, governed view of live data, regardless of which BI and AI tools are used.

Data-as-a-service: AtScale allows metadata to be created once, with centrally defined business rules and calculations, exposing data assets as a service.

Data platform portability: Models built in AtScale are portable, with no need to recreate them for different platforms. AtScale can easily be repointed to new data platforms, making migration seamless to business users.

Faster time-to-insight: AtScale reduces time-to-insight from weeks and months to minutes and hours. AtScale virtual models can be created and deployed in no time, with no ETL or data engineering.

Future-proof your data architecture: AtScale alleviates the complexities of data platform and analytics tool integration, making cloud, hybrid-cloud and multi-cloud data architectures a reality without compromising performance, security, agility or existing governance and security policies.

Features:

Design CanvasTM: AtScale’s Design Canvas visually and intuitively connects to any data platform, allowing you to create virtual multidimensional cubes without ETL.

Autonomous Data Engineering: Just-in-time query optimization that anticipates the needs of the data consumer.

Universal Semantic LayerTM: A workspace with a Design Canvas for your data consumers to define business meaning and get a single-source-of-truth.

Security & Data Governance: Centralized security policy to decentralize access using the tenants of Zero Trust.

Virtual Cube Catalog: A gateway to data that is easily discoverable and frictionless—and available to use every day, en masse.

AtScale connects people to live disparate data without the need to move or extract it, leveraging existing investments in big data platforms, applications and tools. AtScale creates automated data engineering using a single set of semantics so consumers can query live data (either on premise or in the cloud) in seconds without having to understand how or where it is stored—providing security, governance and predictability in data usage and storage costs.



Datameer specializes in analysis of large volumes of data for business users of Apache Hadoop. The company's product, Datameer Analytics Solution (DAS), is a business integration platform for Hadoop and includes data source integration, an analytics engine with a spreadsheet interface designed for business users with over 200 analytic functions and visualization including reports, charts and dashboards. DAS is available for major Hadoop distributions including Apache, Cloudera, EMC Greenplum HD, IBM BigInsights, MapR, Yahoo! and Amazon.
Sample Customers
Rakuten, TD Bank, Aetna, Glaxo-Smith Kline, Biogen, Toyota, Tyson
Trustev, DetroitCrime Commission, Sears, Visa, citi, vivint, workday, Kabam, USA Olympic Team, CDW, BT, at&t, Bank of America, NetApp., expresso
Top Industries
VISITORS READING REVIEWS
Financial Services Firm26%
Manufacturing Company11%
Computer Software Company8%
Healthcare Company7%
No Data Available
Company Size
VISITORS READING REVIEWS
Small Business16%
Midsize Enterprise8%
Large Enterprise75%
No Data Available

AtScale Adaptive Analytics (A3) is ranked 3rd in BI on Hadoop while Datameer is ranked 1st in BI on Hadoop. AtScale Adaptive Analytics (A3) is rated 5.0, while Datameer is rated 7.2. The top reviewer of AtScale Adaptive Analytics (A3) writes "The GUI interface is nice and easy to use, but the organization of the icons is not saved across users". On the other hand, the top reviewer of Datameer writes "It has got basic and advanced functions of SQL, but there are issues when saving the workbook or applying any filtering criteria". AtScale Adaptive Analytics (A3) is most compared with Denodo, Dremio, SAP BusinessObjects Business Intelligence Platform, ThoughtSpot and Alation Data Catalog, whereas Datameer is most compared with Databricks.

See our list of best BI on Hadoop vendors.

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