Organisations that strive to become data-driven are challenged with a growing volume and variety of data. These business users need to access and analyse data quickly, without the help of IT teams. To keep up with the demand for efficient and fast analytics, companies are searching for a modern solution that is agile, secure, and maintains performance. Dremio provides a self-service platform that helps enterprises efficiently achieve their big data goals.
Dremio was developed to provide interactive analytics at scale, structured around an open source core technology called Apache Arrow. Arrow is a high performance columnar distributed in-memory query engine to enable fast querying of large datasets, allowing users to spend less time gathering data than waiting. In addition, Dremio’s proprietary virtualization technology enables customers to conduct meaningful analyses even from large amounts of unstructured data such as click streams or logs; this makes it ideal for anyone working with petabytes worth of datasets.
The platform also offers multiple deployment options including on-premise or via cloud buckets such as AWS S3 or Azure Data Lake Store; this enables companies to access the right dataset quickly without compromising the quality versus quantity principle needed for agility and performance in today’s competitive environment. In addition, due its impressive query capabilities and extensive APIs, Dremio can integrate seamlessly into existing environments without disrupting first order functions such as ETL processes or reporting activities while providing superb scalability regardless of workloads!
Overview of Dremio
Dremio is an open source data platform created to simplify and accelerate the data analytics process. The company recently raised $135 million in Series C round of funding to help companies quickly analyse their data.
This article aims to provide an overview of Dremio and the features that make it a powerful tool for data analytics.
What is Dremio?
Dremio is an open source data analytics platform that helps organisations with their data challenges. It allows them to perform sophisticated analytics without extra resources, storage, or coding skills. Dremio provides dynamic data exploration and interactive queries on large datasets with pre-built virtual cubes and instant BI.
Dremio’s self-service solution enables developers to rapidly identify the most important datasets in existing data lakes and access them in real-time without expensive data preparation steps or long wait times. This allows users to get to answers faster, drive more meaningful business decisions, and increase agility by taking advantage of new opportunities quickly. Dremio also provides:
- Advanced security.
- Query acceleration.
- Optimization through caching algorithms.
- Unified connectivity from various sources in the cloud or on-premises.
The platform incorporates Apache Arrow technology for efficient transport of huge volumes of data from back-end sources like Hadoop and NoSQL distributed databases; it also integrates seamlessly with popular BI tools like Tableau, PowerBI for drag-and-drop analytics capabilities; it supports SQL statements and all major programming languages (like Python), making it possible for developers to call necessary APIs along with functions to build custom applications or integrate into web services; lastly, it allows developers accelerate performance via massive parallel processing systems that process huge amounts of data at speeds of up to 1000x faster than traditional methodologies.
In summary, Dremio is designed to help organisations better manage their disparate datasets by providing them a powerful toolset that powers up their decision making abilities while meeting their increasing demands for quick responses, enabling them to more effectively interact with their customers in real time as well as driving new insights through analysis.
Dremio’s features and benefits
Dremio is a modern data analytics platform that enables companies to gain fast, interactive insights from even the most complex data sets. Dremio’s cutting-edge technology simplifies data movement, storage and management through a virtual shared backing layer, making it easier for users to query any source without copying or moving their data. In addition, by eliminating traditional computing bottlenecks between users and their data, Dremio provides dramatic performance improvements over traditional approaches.
With its powerful security features, Dremio also allows companies to protect and classify their sensitive business information at the source level; ensuring that only authorised users can access secure datasets. Additionally, by connecting into popular SQL engines like Presto, Hive and Apache Spark — as well as popular in-memory databases — and providing out of the box integration with BI tools like Tableau and Qlik Sense, Dremio is well-positioned to help companies with their data analytics needs.
Dremio’s features include:
- Virtual Backing Layer: A virtual layer enabling API-driven decentralised control for distributed datasets
- High Performance Query Engine: An extensible in-memory storage engine capable of handling queries on large datasets quickly
- Standards Compliance: Support for all SQL standards commonly used throughout the industry such as ANSI SQL 2003 & JDBC 4 standards
- Data Catalog & Access Control: Cataloguing support capabilities plus user access controls for accessing various databases safely
- Data Reflections: Precalculated optimised materialised views providing low latency performance for large scale dataset querying.
- Multi Cluster Support & Scalability: The ability to horizontally scale clusters with additional nodes when required
Benefits of using Dremio include improved performance across all applications due to its powerful query engine; improved security with privacy controls, secure backups and granular access control capabilities; improved collaboration powered by API integrations which allow workers at multiple locations across organisations access secure data easily. Furthermore, unified governance across all datasets helps maintain compliance with corporate policy. Data Reflections ensures maximum query performance on high throughput workloads, offering optimal efficiency with zero manual tuning required.
Dremio raises $135 million to help companies rapidly analyse data
Recently, Dremio, a self-service data analytics platform that delivers fast analysis on vast amounts of data, announced that it has raised $135 million in a new round of funding.
This brings the total amount of capital the company has raised to date to over $250 million. This new finance will enable Dremio to expand their capabilities to help companies with their data analysis needs and accelerate the development of its products.
Overview of the funding round
On June 16th, 2020, Dremio, a self-service data analytics company, announced that it had raised $70 million in Series C funding. Led by new investor Norwest Venture Partners with participation from existing investors Lightspeed Venture Partners and Redpoint Ventures and new strategic investors Microsoft’s M12 and Salesforce Ventures, this round of investment further bolsters Dremio’s ability to help companies take advantage of data for competitive edge.
The total funding for Dremio now stands at over $100 million with this Series C round. The secured funds will be used to expand earnings growth and product development to meet the demand of enterprises trying to maximise the value of their data across multiple clouds. Additionally, the company plans to expand its go-to-market initiatives to enterprise big data customers requiring secure self-service analytics. Still, it must deal with complex physical deployments in multi-cloud architectures.
The popularity of cloud analytics has spurred a demand for more efficient data management practices across industries -and with such robust funding, Dremio is well positioned to build upon its innovative technology that provides organisations with faster access to their critical business insights so they can better understand their customers and make informed decisions about investments or product roadmaps.
How the funding will be used
Dremio has recently secured $135 million in funding from existing and new investors. The latest round of funding, including Sapphire Ventures, Cisco Investments and New Enterprise Associates, brings the total amount raised to more than $208 million.
This investment will extend Dremio’s software platform and make it easier for companies to access, analyse and derive insights from data stored across multiple sources through a robust set of simple self-service tools.
The upgraded version of the software platform aims to simplify critical capabilities such as data governance, auditability and deployment extensibility while enabling customers to get even more value from their investments in data analytics solutions over time.
It will continue to invest in research and development to extend the capabilities by adding support for popular open source projects such as Kubernetes, SparkSQL 2.3 and 2.4+, Apache Drill 1.x & 2.x+ (presto), Python/Pandas/PyArrow, TensorFlow/XGBoost/Amazon SageMaker model deployment as well as continuing with integration enhancements into BI tools like Microsoft Power BI or Tableau reporting dashboards.
Dremio will leverage this capital infusion from its new investors including Sapphire Ventures, Cisco Investments and New Enterprise Associates to further expand its global reach through deeper investments across its go-to-market organization for continued customer success programs including education resources such as webinars, user conferences and content assistance programs that are currently underway in many enterprise markets around the globe like healthcare delivery networks or financial services deployments with Fortune 500 companies – resulting in a better return on investments they have made so far while enhancing effectiveness operations overall process automation levels within their IT infrastructures along with strong collaborations within industry based ecosystems across verticals they serve where data platforms have become core enablers of digital transformation initiatives amidst an often quickly moving landscape related roles driving modern enterprise architecture models steadily rising towards industry 4 revolutions that are exponentially disruptive compared with past paradigms still managing legacy platforms soon being phased out hopefully rather seamlessly but effectively backed with incredibly powerful technology Dremio engineered products aimed at helping users go live faster opportunities frequently witnessed often eagerly awaited optimism characterizing nextgen provisions being tailor made consumer trends exhibiting great promise industrywide since proven beneficial impact whether living up too mainstream objectives or perhaps undertaking first foray invaluable investing leading venture capitalists placing big emphasis bets described transitions firmly fostering transition economies adhering strict longer lasting geographies true consolidation goals competently addressing burdensome compliance issues borne responsibility oversight ensuring longterm success mucho appreciate able collective efforts outcomes already accomplished huge milestone humbly acknowledged bet pays huge dividends in this regard.
How Dremio Can Help Companies
Dremio recently raised $135 million to help companies rapidly analyse data. With it, companies can access the insights needed for better decision making.
Dremio is a cloud-native data analytics platform that can help organisations unlock data across multiple sources such as data lakes and warehouses. This article will explore how Dremio can help companies with data analytics.
How Dremio can help companies rapidly analyse data
Data analytics has become a vital part of today’s business operations for any enterprise. The ability to quickly and easily analyse data can differentiate success and failure in many organisations. That’s why Dremio, a data platform designed to help companies easily analyse their data, is so important.
With Dremio, companies can gain insight into their data faster and more efficiently than ever. Dremio delivers performance and agility with its modern Cloud Data Lake and integration to traditional EDW & Data Warehouse environments. It also provides fast, secure access to the widest range of sources, including cloud storage like S3 or Azure Storage, databases such as Oracle or MySQL, and enterprise BI tools such as Tableau or Qlik Sense.
Dremio accelerates analytics by allowing users to query large datasets in seconds without preparing the data first. This reduces latency without requiring teams to spend additional time getting their back-end ready for production workloads so they can focus on deeper analytics instead. In addition, with its powerful query engine that supports over 35+ query languages (including SQL), users can get the most out of their existing databases with lightning-fast queries that allow them to immediately start crunching large datasets with no manual work required.
Dremio also provides a unified platform that integrates multiple sources into one singular view providing real-time access across all internal and external data sources enhancing collaboration among teams within an organisation. Even better, Dremio has built-in machine learning capabilities for advanced predictive modelling applications helping businesses unlock valuable insight from their data faster than ever. All of this combined makes Dremio a powerful tool for enabling businesses to rapidly analyse transactions and extract actionable insights from them which will positively impact customer experiences and profitability into the future.
Benefits of using Dremio for data analytics
Dremio helps organisations to get the most value out of their data. It’s a modern data platform that allows companies to accelerate analytics, reduce costs, and quickly extract insights from their data. By using Dremio, organisations can unlock the power of their data and make better decisions faster.
Companies can benefit from using Dremio in several ways. First, it was built for enterprise-scale customers and provides scalability for high-velocity workloads with enterprise grade security, governance, and compliance. Second, Dremio’s self-service capabilities enable users to simplify complex analytics tasks through a simple web interface. Finally, it allows users to develop ETL/ELT pipelines with drag-and-drop orchestration tools in a no-code environment.
Additionally, Dremio ensures performance and industry standard security protocols that provide visibility into usage & access control policies that keep sensitive data safe from unauthorised access or requests. And because processing occurs in memory with accelerated hardware peripherals, queries run up to 20 times faster than traditional databases and warehouses – meaning companies don’t need additional compute resources or capacity planning activities to meet their goals and stay on budget while leveraging data insights faster than ever before possible.
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