Idera, Inc. Acquires Qubole, Adds Data Lakes to Database Tools Unit

Qubole will join Idera’s database tools business unit that includes AquaFold, IDERA, Webyog, and WhereScape. The merger comes as Qubole hosts …

Idera, Inc. recently announced that it has acquired data lake tools solution provider Quboe, according to a press release. Qubole will join Idera’s database tools business unit that includes AquaFold, IDERA, Webyog, and WhereScape. The merger comes as Qubole hosts The Data Lake Summit in collaboration with AWS and Google Cloud. It also comes on the heels of Qubole’s launch of Qubole Pipelines Service. Unveiled in August, Qubole Pipelines Service enables users to build scalable streaming data pipelines.

Our Buyer’s Guide for Data Management Platforms helps you evaluate the best solution for your use case and features profiles of the leading providers, as well as a category overview of the marketplace.

Qubole’s flagship data management product is its Autonomous Data Platform, a solution that self-manages and self-optimizes by sending alerts and Insights and Recommendations (AIR) based on cloud agents connected to the customer’s data policies and preferences. Qubole uses a combination of heuristics and machine learning for workload continuity as well. Some of Qubole’s most notable customers include Expedia, Disney, ORacle, Fanatics, Activision Blizzard, and Adobe.

Idera offers an array of B2B software tools ranging from database administration to application development and test management. Under its broader data-centric tools umbrella, the vendor touts data warehouse automation, cross-platform database productivity, IT infrastructure monitoring, and database performance tools. Idera also acquired FusionCharts in March 2020 and WhereScape last September.

In a media statement about the news, Idera CEO Randy Jacops said: “Companies generate and store both structured and unstructured data at unprecedented levels. Qubole’s reputation as the leading cross-platform solution focused on unstructured data is a fantastic addition to Idera’s Database Tools division. In particular, it will pair well with Idera’s WhereScape business, the leading provider of data automation solutions for data warehouses.”

Read the official press release or learn more about Idera, Inc.

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Qubole is Latest Acquisition Target

Qubole’s data lake platform supports versions of Airflow, Hive, Presto and Spark, offering data workload capabilities while helping customers reduce …
DataLake

Idera Inc., the software development tool vendor, is acquiring data lake specialist Qubole Inc. as Idera expands its database tools portfolio.

Terms of the transaction were not disclosed.

Houston-based Idera said Tuesday (Oct. 13) Qubole would be folded into its database tool unit that includes AquaFold, Webyog and WhereScape. The deal for Qubole gives Idera a cloud-native data management platform aimed at streaming analytics, data pipelines and machine learning workloads.

Qubole’s data lake platform supports versions of Airflow, Hive, Presto and Spark, offering data workload capabilities while helping customers reduce the cost of cloud data lakes.

“Companies generate and store both structured and unstructured data at unprecedented levels,” Idera CEO Randy Jacops said in announcing the acquisition. “Qubole’s reputation as the leading cross-platform solution focused on unstructured data is a fantastic addition to Idera’s Database Tools division.

Jacops said Qubole would “pair well” with Idera’s WhereScape unit, which specializes in automation tools for data warehouses.

Current Qubole data lake customers include Adobe, Disney, Oracle. It has also partnered with Snowflake to allow Qubole’s big data processing engines, including Apache Spark and TensorFlow, to read and write data to Snowflake’s data warehouse.

The deal for Qubole, Santa Clara, Calif., continues a steady stream of analytics and database acquisitions as buyers seek to expand their big data services portfolios. Idera and other deal makers are looking for synergies among their current offerings and up-and-coming platform specialists like Qubole with growing partner networks.

Qubole aims it data lake platform at “ad hoc” analytics, data streaming and, increasingly, machine learning workloads trained on large volumes of structured and unstructured data. The approach is promoted as allowing data scientists to spin up clusters on public clouds to accelerate development of ad hoc or batch queries. Automation features then scale cloud computing resources as needed.

Along with Snowflake, Qubole has recently announced partnerships with data engineering specialist Ascend.io to create “self-service” data pipelines that run faster while requiring less code.

In releasing the latest version of its data lake platform over the summer, Qubole also announced expansion of its partnership with Informatica and its data integration tools.

Those and other partnerships aim to simplify data lake management as more data is scattered across on-premise and cloud storage.

Prior to its acquisition by Idera, Quoble had raised about $78 million in venture funding, according to the web site Crunchbase.com.

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Idera, Inc. Acquires Qubole, Adding Award-Winning Data Lake Platform to Growing Database …

Qubole is a cloud-native data management platform for data pipelines, streaming analytics, and machine learning workloads that allows enterprises to …

HOUSTON–()–Idera, Inc., parent company of global B2B software productivity brands, today announced the acquisition of Qubole, Inc., a leading provider of open data lake solutions. Qubole will join Idera, Inc.’s Database Tools business unit that includes AquaFold, IDERA, Webyog, and WhereScape, significantly expanding the breadth and depth of the company’s cross-platform data-centric solutions.

Qubole is a cloud-native data management platform for data pipelines, streaming analytics, and machine learning workloads that allows enterprises to quickly harness the power of data to gain valuable business insights. Only Qubole provides a unified environment for all major cloud providers and data processing engines. The company’s unified environment includes optimized versions of Spark, Presto, Hive, and Airflow, with intelligent automation technology that scales usage up or down to meet service-level needs and minimize cloud costs.

Qubole’s award-winning platform offers the most open and flexible data workload capabilities in the market while reducing cloud data lake costs by more than 50 percent and requiring near-zero administration. The solution is trusted by leading brands such as Expedia, Disney, Oracle, Gannett, Fanatics, Activision Blizzard, and Adobe to spur innovation and transform their businesses in the era of big data.

“Companies generate and store both structured and unstructured data at unprecedented levels,” said Randy Jacops, CEO of Idera, Inc. “Qubole’s reputation as the leading cross-platform solution focused on unstructured data is a fantastic addition to Idera’s Database Tools division. In particular, it will pair well with Idera’s WhereScape business, the leading provider of data automation solutions for data warehouses.”

This week, on Oct. 13 and 14, Qubole will host The Data Lake Summit in collaboration with AWS and Google Cloud. The virtual conference will help attendees unlock the power of data lakes through a robust curriculum of interactive sessions, real-life case studies, and standout keynotes from some of the industry’s forward-thinking organizations and leaders. The event invites data professionals from around the world to network with peers and learn how data lakes can ignite growth and transform businesses through data innovation. Register here for free.

To learn more about Qubole, visit: https://www.qubole.com/.

Evercore served as the exclusive M&A advisor to Qubole.

About Idera, Inc.

Idera, Inc. delivers B2B software productivity tools that enable technical users to do more with less, faster. Idera, Inc. brands span three divisions—Database Tools, Developer Tools, and DevOps Tools—with products evangelized by millions of community members and more than 50,000 customers worldwide, including some of the world’s largest health care, financial services, retail, and technology companies. To learn more, visit: https://www.ideracorp.com/.

About Qubole, Inc.

Qubole is the open data lake platform for analytics and machine learning that large enterprises depend on to quickly harness the power of data and gain valuable business insights. Only Qubole provides a truly open platform that works with all major cloud providers and data processing engines. The company’s unified environment includes optimized versions of Spark, Presto, Hive, and Airflow, with intelligent automation that scales usage up or down to meet service-level needs and minimize cloud costs. Based in Santa Clara, Calif., Qubole has offices in New York City, San Francisco, London, Singapore, and Bangalore. For more information, visit: https://www.qubole.com/.

Plain sailing with data lakes

It seems like everywhere you turn, someone is talking about big data this, or data analytics that. Supporting this move to data-driven businesses is a …
About the author

Neil Barton is the Chief Technology Officer of WhereScape.

It seems like everywhere you turn, someone is talking about big data this, or data analytics that. Supporting this move to data-driven businesses is a whole range of different data infrastructures, but it can be difficult to wrap your head around where your data lakes and data warehouses meet, and why you might even need a data vault.

Each of these concepts, though, simply boils down to finding ways to ingest and manage your data in an effective way for today’s level of insight-driven decision-making. So what are the options, how do they relate, and what are they used for?

Data lakes

Data lakes are huge collections of data, ranging from raw data that has not been organised or processed, through to varying levels of curated data sets. One of their benefits from an analytics purpose is that the varying types of consumers can access appropriate data for their needs.

This makes it perfect for some of the newer use cases such as Data Science, AI and machine learning, which are viewed by many companies as the future of analytics work. It is a great way to store masses of raw data on scalable storage solutions without attempting traditional ETL or ELT (extract, transform, load), which can be expensive at this volume.

However, for more traditional analytics, this type of data environment can be unwieldy and confusing – which is why organisations turn to other solutions to manage essential data in more structured environments.

In terms of positioning within a data infrastructure, data lakes are, if you like, up-stream of other data infrastructure, and can be used as a staging area for a more structured approach such as a data warehouse, as well as providing for data exploration and data science.

Data warehouses

A data warehouse, or an enterprise data warehouse as it is sometimes known, is a more curated repository of data. It is invaluable for providing business users with access to the right information in a usable format – and can include both current and historical information.

As data enters the data warehouse environment, it is cleansed, transformed, categorized and tagged – making it easier to manage, use and monitor from a compliance perspective, which is where automation comes in.

The volume and velocity of data experienced by businesses today means that manually ingesting this data, processing it, and making sure it’s stored and accessible in a way that meets compliance requirements within a data warehouse is unfeasible in the modern world.

However, with businesses constantly looking to data as the source of both reports and forecasts, a data warehouse is invaluable. It’s important that data lakes do not subsume the role of a more structure data infrastructure just because of the perceived effort of ingestion. Automation can help speed the ingestion and processing to fast-track time to value with data-driven decision-making in a data warehouse.

Data marts

A data mart is a specific sub-set of a data warehouse, often used for curated data on one specific subject area, which needs to be easily accessible in a short amount of time. Due to its specificity, it is often quicker and cheaper to build than a full data warehouse. However, a data mart is unable to curate and manage data from across the business to inform business decisions.

Data vaults

Data vault modelling is an approach to data warehousing which looks to address some of the challenges posed by transforming data as part of the data warehousing process. One of the great advantages of a data vault is that it makes no assessment as to what data is “valuable” and what isn’t, whereas once data is processed and cleansed into a warehouse environment, this decision has typically been made.

Data vaults have the flexibility to manage this, and to address changing sources of data, leading the data vault approach to be credited with providing a “single version of the facts” rather than a “single version of the truth.”

For enterprises with large, growing and disparate datasets, a data vault approach to data warehousing can help tame the beast of big data into a manageable, business-centric solution, but can take time to set up.

Data vault automation is a critical component to ensuring organizations can deliver and maintain data vaults that adhere to the stringent requirements of the Data Vault 2.0 methodology and will be able to do so in a practical, cost-effective and timely manner.

Understanding the differences

Having a broad understanding of how each of these different data approaches work and fit together could be invaluable to IT managers and business leaders as they grapple with understanding what is and isn’t possible as big data becomes as much a business prerogative as a technology one.

Finding ways to speed up the establishment and management of these practices using technologies such as automation is essential for helping organisations reduce the time to value and succeed in the data-driven business landscape.

Neil Barton is the Chief Technology Officer of WhereScape,