BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Cribl and Cloudian Offer S3 Data Lake-based Observability Platform for Modern Data Analytics

Cribl | October 12, 2022 | Read time : 02:50 min

Cribl
Cribl and Cloudian® today announced a modern data analytics solution that integrates Cribl Stream and Cloudian HyperStore® object storage to provide an observability platform on an on-premises, S3-compatible data lake. The joint solution enables organizations to ingest, parse, restructure and enrich large data volumes in flight, ensuring they get the right data in the formats they need — all securely behind their firewall. Users can convert logs into metrics, reduce cost, and increase search speed.

The Need for an Observability Platform
Monitoring solutions alone only help enterprises answer well-known questions about their infrastructure and environment. To get new signals or opportunities, they also need an observability platform that can ingest and store data from multiple sources with full fidelity and can replay the relevant data into various analytics tools without adding new infrastructure and agents. This allows IT teams to perform advanced analytics, getting full visibility and insight into their environment, from applications to infrastructure assets.

The Cribl-Cloudian Solution
Cribl Stream is an observability pipeline that collects data from any source and can send and replay data to a Cloudian HyperStore S3-compatible data lake. The data is stored in HyperStore with full fidelity and is always available to search and analyze. HyperStore can scale up to thousands of nodes across multiple data centers, supporting millions of users and hundreds of petabytes of data.

Other solution benefits include:

  • Cost-effective, limitless scalability for long-term compliance – Data can be reformatted via a pre-parser, helping users mask, reduce, or restructure and route it to multiple destinations, such as low-cost Cloudian storage (½¢/GB/month or less) for long-term retention.
  • Replay data – Customers can replay multiple data formats stored in the data lake to popular analytics and search platforms.
  • Hybrid cloud ready ��� Users can employ policy-based tools to replicate or tier data to AWS, GCP, Azure, or another Cloudian HyperStore cluster for offsite disaster recovery, capacity expansion or data analysis in the cloud, enabling cost-effective storage across environments but managed as a single pool.
  • Military-grade security and ransomware protection – Features include AES-256 server-side encryption for data stored at rest, SSL for data in transit (HTTPS), role-based access controls with specified levels of access, audit trail logging and data immutability for protection against ransomware.
  • Data resiliency – The solution provides up to 14 nines of resiliency and supports administrator-selectable storage policies based on replication or erasure coding, along with fine grain control of data placement across data centers.

“Giving our customers freedom and control over their data is the core of Cribl. “When customers use Cloudian and Cribl together, they can collect the largest amounts of data in any format with Cribl Stream and store and replay full fidelity data leveraging Cloudian HyperStore, saving costs and optimizing performance.”

Zac Kilpatrick, vice president, Global Channels & Alliances, Cribl

“Organizations are continually striving to gain deeper insights from their data to drive greater business and operational advancements,” said Larry Meese, vice president, Products and Solutions, Cloudian. “The Cribl-Cloudian solution enables them to easily and cost-effectively apply modern analytics applications to their on-prem data with the same scalability and flexibility of public cloud services while avoiding the cost and performance issues of moving large data volumes to the cloud.”

About Cribl
Cribl makes open observability a reality for today’s tech professionals. The Cribl product suite defies data gravity with radical levels of choice and control. Wherever the data comes from, wherever it needs to go, Cribl delivers the freedom and flexibility to make choices, not compromises. It’s enterprise software that doesn’t suck, enables tech professionals to do what they need to do, and gives them the ability to say “Yes.” With Cribl, companies have the power to control their data, get more out of existing investments, and shape the observability future. Founded in 2017, Cribl is a remote-first company with an office in San Francisco, CA.

About Cloudian
Cloudian is the leader in data management software for the hybrid cloud. With military-grade security, limitless scalability and seamless cloud integration, Cloudian’s S3-compatible object storage lets users optimize data access, meet data sovereignty requirements and cut costs by consolidating information to a single, cloud-like platform. Cloudian’s geo-distributed architecture manages and protects object and file data at the edge, core, and in the cloud, for both conventional and modern applications.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Neo4j Announces General Availability of its Next-Generation Graph Database Neo4j 5

Neo4j | November 09, 2022

Neo4j®, the leader in graph technology, announced today the general availability of Neo4j 5, the next-generation cloud-ready graph database. Neo4j 5 widens the performance lead of native graphs over traditional databases while providing easier scale-out and scale-up across any deployment, whether on-premises, in the cloud, hybrid, or multi cloud. The result empowers organizations to more quickly create and deploy intelligent applications at large scale and achieve greater value from their data. "Graph technology adoption is accelerating as organizations seek better ways to leverage connections in data to solve complex problems at scale," said Emil Eifrem, CEO and Co-founder of Neo4j. "We designed Neo4j 5 to deliver the type of scalability, agility, and performance that enable organizations to push the envelope on what's possible for their data and their business." Neo4j 5's specific benefits include: Query language improvements and up to 1000x faster query performance. New syntax makes it even easier to write complex pattern-matching queries. Improvements in indexes, query planning, and runtime make Neo4j 5 the fastest implementation ever. For example, multi-hop queries can now be executed up to 1000x faster than Neo4j 4. These improvements are above and beyond the already exponentially faster Neo4j's graph results over traditional databases. Together, these benefits enable more real-time results at scale. Automated scale-out across hundreds of machines, enabling self-managed customers to grow and handle a massive number of queries with little manual effort and significantly less infrastructure cost. This benefit is achieved via new and enhanced features like Autonomous Clustering and Fabric, enabling organizations to efficiently operate very large graphs and scale out in any environment. Neo4j 5 also automates the allocation and reassignment of computing resources. Continuous updates across all deployments, whether in the cloud, multi-cloud, hybrid, or on-prem. Neo4j 5 ensures ongoing compatibility between self-managed and Aura workloads managed by Neo4j. In addition, a new tool called Neo4j Ops Manager provides a unified single pane for easy monitoring and management of global deployments, giving customers full control over their environments. Neo4j 5 performance lead sets a new industry bar More than 1,300 organizations trust Neo4j's technology to power mission-critical applications while maintaining performance, security, and data integrity. Neo4j 5 extends the company's leadership even further at a time when graph adoption is exploding. "Switching to Neo4j was a huge win for us," said David Fox, Senior Software Engineer at Adobe and Co-founder & Engineering Lead at devRant. "We've seen significant performance improvements, and a great reduction in complexity, storage, and infrastructure costs. Staff now focus on improving the infrastructure, versus spending time frustratingly micro-managing it." For more information To learn more about Neo4j 5, visit the Neo4j 5 web page, read "Scale New Heights with Neo4j 5 Graph Database," or register for the following sessions at the upcoming online developer conference NODES 2022: "What's New in Neo4j 5 and Aura 5 for Developers" and "Introducing Neo4j 5 for Administrators." About Neo4j Neo4j is the world's leading graph data platform. We help organizations – including Comcast, ICIJ, NASA, UBS, and Volvo Cars – capture the rich context of the real world that exists in their data to solve challenges of any size and scale. Our customers transform their industries by curbing financial fraud and cybercrime, optimizing global networks, accelerating breakthrough research, and providing better recommendations. Neo4j delivers real-time transaction processing, advanced AI/ML, intuitive data visualization, and more.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Dynatrace Extends Grail to Power Business Analytics with Speed and Precision

Dynatrace | November 16, 2022

Software intelligence company Dynatrace announced today that it is extending its Grail™ causational data lakehouse to power business analytics. As a result, the Dynatrace® platform can instantly capture business data from first and third-party applications at a massive scale without requiring engineering resources or code changes. It prioritizes business data separately from observability data and stores, processes, and analyzes this data while retaining the context of the complex cloud environments where it originated. Dynatrace designed these enhancements to enable business and IT teams to drive accurate, reliable, cost-effective automation and conduct efficient ad hoc analytics covering a wide range of business processes. Examples include order fulfillment and bill payments, service activation and customer onboarding workflows, and the impact on revenue from new digital services. Today’s announcement builds on capabilities that Dynatrace launched in October 2022, leveraging Grail to power log analytics and management. The company expects to continue to extend Grail to power additional development, security, IT, and business solutions. Organizations depend on digital services to drive revenue, customer satisfaction, and competitive differentiation. To optimize these services and user experiences, business and IT teams increasingly rely on insights from various business data, including application usage, conversion rates, and inventory returns. Yet, traditional business intelligence tools lack the speed, scale, flexibility, and granularity required to deliver insights about services built on complex cloud architectures. In fact, according to a study from Deloitte, two-thirds of organizations are not comfortable accessing or using data from their business intelligence tools. Business analytics in modern cloud environments requires a new approach. “Dynatrace gives us valuable insight into the business impact of our applications’ performance and enables our teams to proactively solve problems, deliver better customer experiences, and drive more value for our organization,” said Stephen Evans, Head of Quality, Monitoring, SRE/DevOps Technology at PVH. “This enhanced capability to access and store all of our business data provides the scalability our business needs. It also frees our teams from the constraints of sifting through data to determine what is valuable and what should be stored. Dynatrace’s unique ability to analyze all this data and deliver precise and contextualized answers in real time enables us to improve our digital landscape.” “To drive digital transformation at scale, organizations need trustworthy and real-time insights from their business data. Existing solutions often rely on stale data, fail to deliver precise answers in IT-context, and require manual maintenance and coding from engineers. “The Grail causational data lakehouse uniquely positions the Dynatrace platform to overcome these hurdles. By elevating the priority of business data to ensure it arrives unsampled and with lossless precision, even from third-party applications where developers are not accessible, business and IT teams using the Dynatrace platform can now easily access valuable business insights on demand. This has the capability to unlock nearly unlimited business analytics use cases, allowing our customers to instantly answer their most challenging questions with accuracy, clarity, and speed.” Bernd Greifeneder, Founder and Chief Technical Officer at Dynatrace About Dynatrace Dynatrace exists to make the world’s software work perfectly. Our unified software intelligence platform combines broad and deep observability and continuous runtime application security with the most advanced AIOps to provide answers and intelligent automation from data at an enormous scale. This enables innovators to modernize and automate cloud operations, deliver software faster and more securely, and ensure flawless digital experiences. That’s why the world’s largest organizations trust the Dynatrace® platform to accelerate digital transformation.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

EY announces alliance with Databricks to help companies solve data, analytics and AI challenges

EY | December 13, 2022

The EY organization today announces an alliance between Databricks, a data lakehouse company, and Ernst & Young LLP (EY US) to help organizations simplify and democratize data, analytics and artificial intelligence (AI). Combining the knowledge, business insights and consulting capabilities of EY data scientists with Databricks' Lakehouse Platform, the alliance will help enable massive-scale data engineering, machine learning (ML) and business analytics for organizations across nearly every industry. Databricks has become a cornerstone for companies looking to put data at the center of their business strategy by pioneering the data lakehouse category and providing advanced technologies that analyze and transform complex data sets into insights and solutions. The Databricks Lakehouse Platform brings together the best qualities of data warehouses and data lakes to help organizations accelerate innovation through critical data-driven use cases — from data warehousing and data streaming to data science and ML — on an open unified platform. As a long-time consumer of Databricks, EY US has seen first-hand the platform's immense value, having implemented it for a number of internal use cases. One notable example, the EY organization's proprietary solution, Trusted Data Fabric, is underpinned by Databricks. Together, the technology embeds trust to reduce the risk of data misuse, providing a platform for secure and ethical use of intelligence-enriched assets. Greg Sarafin, EY Global Partner Ecosystem Leader Entering into an alliance with Databricks strengthens our ability to address the needs of clients seeking to gain significant business benefits from their data, whether for operational efficiency, stakeholder experiences, risk mitigation or creating entirely new sources of revenue. EY teams offer the breadth of services necessary to turn data insights at scale into enterprise value, enabled by Databricks' Lakehouse and the extraordinary AI and ML capabilities of that platform. Kori O'Brien, SVP, Global Consulting & SI Partners at Databricks "We are thrilled to welcome EY US to the Databricks partner ecosystem to help data-driven organizations adopt the Lakehouse Platform and deliver more value to their businesses with data, analytics and AI. We look forward to continuing to innovate with EY teams and provide new capabilities, services and tailored industry solutions for our joint customers to unlock the power of their data with a lakehouse." About EY EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Wiz and BigID Expand Partnership to Extend Visibility and Control for Enterprise Data to Prevent Breaches

BigID | November 30, 2022

BigID, the leading data platform that enables organizations to know their enterprise data and take action for privacy, security, compliance, and governance, today announced an expanded partnership with Wiz, the leading cloud security platform that rapidly enables customers to find and remove critical cloud risks. Wiz and BigID bring together Cloud-Native Application Protection (CNAPP) and Data Security Posture Management (DSPM) to reduce cloud risk and accelerate cloud security strategies. The partnership enables customers to continuously monitor for critical data exposure to help prevent breaches. Customers can take a data-driven approach when automating security controls in the cloud: making it easy to prioritize risk management based on deep data insight, with the granularity customers need to both protect data and enable secure analytics. With this integration, customers can automatically discover their data across their entire data ecosystem, prioritize vulnerable data, and mitigate potential attacks based on recommended best practices and playbooks. Wiz and BigID accelerate visibility and data protection in the cloud: Automatically discover, identify, and classify their most sensitive and vulnerable data Identify which data stores are exposed to the internet or have other cloud risks like misconfigurations, vulnerabilities, and overly permissive identities, and alert on potential exfiltration paths. Improve their security and compliance posture by prioritizing high risk data, continuously assessing and enforcing security and business policies, and blocking the attack path to sensitive data. "BigID's deep data discovery and actionable insights empowers customers to proactively protect and govern their structured and unstructured data across the public cloud, SaaS, and data center. "Our partnership with Wiz gives their CNAAP customers deeper, wider and more granular data visibility and control." Dimitri Sirota, CEO at BigID "Together with our integration and partnership, customers gain visibility and context to solve a broader set of security use cases such as preventing and investigating data breaches, complying with privacy requirements, enabling secure analytics, deleting duplicate and ROT (redundant, obsolete, and trivial) data and more," said Assaf Rappaport, CEO at Wiz. About BigID BigID is a leader in data security, privacy, compliance, and governance: enabling organizations to proactively discover, manage, protect, and get more value from their data in a single platform for data visibility and control. Customers use BigID to reduce their data risk, automate security and privacy controls, achieve compliance, and understand their data across their entire data landscape: including multicloud, hybrid cloud, IaaS, PaaS, SaaS, and on-prem data sources. BigID has been recognized as a leader in data security, compliance, privacy, and governance as CNBC's 2022 top 25 startups for the enterprise, placed #21 on the 2022 Deloitte 500, featured on the Inc 5000 for two years running, and was a 2018 RSA sandbox innovation winner. Learn more at www.bigid.com, and get started for free at www.smallid.com. About Wiz Wiz secures everything organizations build and run in the cloud. Founded in 2020, Wiz is the fastest-growing software company in the world, scaling from $1M to $100M ARR in 18 months. Wiz enables hundreds of organizations worldwide, including 30 percent of the Fortune 100, to rapidly identify and remove critical risks in cloud environments. Its customers include Salesforce, Slack, Mars, BMW, Avery Dennison, Priceline, Cushman & Wakefield, DocuSign, Plaid, and Agoda, among others. Wiz is backed by Sequoia, Index Ventures, Insight Partners, Salesforce, Blackstone, Advent, Greenoaks and Aglaé.

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