Compare AtScale Adaptive Analytics (A3) vs. Collibra Lineage

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Top Answer: The solution has very good online assistance.
Top Answer: While I do not have too much insight into the licensing aspect of the solution, I can say that we are not charged monthly. We might have to pay on a yearly basis. I can't speak to the pricing. I'm… more »
Top Answer: Right now, its maturity is at, I would say, a moderate level. The plan is to expand it to use it for full maturity. It cannot be directly integrated as a data quality tool, for example. Collibra… more »
Ranking
17th
out of 39 in Data Governance
Views
1,313
Comparisons
875
Reviews
0
Average Words per Review
0
Rating
N/A
11th
out of 39 in Data Governance
Views
1,208
Comparisons
1,045
Reviews
1
Average Words per Review
1,240
Rating
7.0
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.



Data lineage reveals how data transforms through its life cycle across interactions with systems, applications, APIs and reports. Collibra Lineage automatically maps relationships between data to show how data sets are built, aggregated, sourced and used.

Offer
Learn more about AtScale Adaptive Analytics (A3)
Learn more about Collibra Lineage
Sample Customers
Rakuten, TD Bank, Aetna, Glaxo-Smith Kline, Biogen, Toyota, Tyson
AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
Top Industries
VISITORS READING REVIEWS
Computer Software Company33%
Financial Services Firm17%
Comms Service Provider10%
Insurance Company8%
VISITORS READING REVIEWS
Computer Software Company25%
Financial Services Firm13%
Comms Service Provider12%
Insurance Company9%
Find out what your peers are saying about Collibra, erwin, Inc., SAS and others in Data Governance. Updated: September 2021.
535,919 professionals have used our research since 2012.

AtScale Adaptive Analytics (A3) is ranked 17th in Data Governance while Collibra Lineage is ranked 11th in Data Governance with 1 review. AtScale Adaptive Analytics (A3) is rated 0.0, while Collibra Lineage is rated 7.0. On the other hand, the top reviewer of Collibra Lineage writes "User-friendly with good metadata management but needs more time to mature". AtScale Adaptive Analytics (A3) is most compared with Dremio, Denodo, Alteryx, Looker and Oracle Essbase, whereas Collibra Lineage is most compared with Microsoft Azure Purview, Alation Data Catalog, erwin Data Intelligence (DI) for Data Governance, OneTrust DataGovernance and SAS Data Governance.

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