Alternatives to DataSet

Graylog is the AI-powered SIEM and log management platform built to help security and IT operations teams work faster, stay focused, and stay in control. It brings together all your event data in one place so teams can detect real threats quickly, investigate efficiently, and manage data costs predictably—without compromise. Graylog’s explainable AI turns noise into clarity, highlighting what matters most and guiding analysts through consistent, confident response steps. Its open, flexible architecture adapts to any environment, empowering organizations to scale and evolve without being locked into rigid systems or unpredictable pricing. With Graylog Security, Enterprise, API Security, and Open, more than 60,000 organizations worldwide rely on Graylog to deliver faster insight, simpler operations, and a smarter path to SIEM without compromise.

With more than 50,000 customer installations across the five continents, Pandora FMS is a truly all-in-one monitoring solution, covering all traditional silos for specific monitoring: servers, networks, applications, logs, synthetic/transactional, remote control, inventory, etc. Pandora FMS allows you to quickly find and solve problems. It scales them so that they can be derived either from on-premise, multi-cloud, or both. You now have the ability to use your entire IT stack and analytics to solve any problem, even those that are difficult to find. You can control and manage any technology and application with more than 500 plugins, including SAP, Oracle, Lotus or Citrix, Jboss, VMware, AWS and SQL Server.

Sematext Cloud provides all-in-one observability solutions for modern software-based businesses. It provides key insights into both front-end and back-end performance. Sematext includes infrastructure, synthetic monitoring, transaction tracking, log management, and real user & synthetic monitoring. Sematext provides full-stack visibility for businesses by quickly and easily exposing key performance issues through a single Cloud solution or On-Premise.

Splunk Observability Cloud serves as an all-encompassing platform for real-time monitoring and observability, aimed at enabling organizations to achieve complete insight into their cloud-native infrastructures, applications, and services. By merging metrics, logs, and traces into a single solution, it delivers uninterrupted end-to-end visibility across intricate architectures. The platform's robust analytics, powered by AI-driven insights and customizable dashboards, empower teams to swiftly pinpoint and address performance challenges, minimize downtime, and enhance system reliability. Supporting a diverse array of integrations, it offers real-time, high-resolution data for proactive monitoring purposes. Consequently, IT and DevOps teams can effectively identify anomalies, optimize performance, and maintain the health and efficiency of both cloud and hybrid environments, ultimately fostering greater operational excellence.

Hybrid SIEM solutions combine real-time log monitoring with comprehensive system and network monitoring to provide users with a complete view of their servers, endpoints, and networks. The security event log normalization and correlation engine with descriptive emails alerts provides additional context. It presents cryptic Windows security incidents in easy-to-understand reports that provide insight beyond what is available as raw events. EventSentry's NetFlow component visualizes network traffic and can detect malicious activity. It also provides insight into bandwidth usage. EventSentry's ADMonitor component makes it easy to keep track of Active Directory changes. It records all changes to Group Policy objects and provides a complete user inventory that can be used to identify old accounts. There are many integrations and multi-tenancy options.

The Dynatrace software intelligence platform revolutionizes the way organizations operate by offering a unique combination of observability, automation, and intelligence all within a single framework. Say goodbye to cumbersome toolkits and embrace a unified platform that enhances automation across your dynamic multicloud environments while facilitating collaboration among various teams. This platform fosters synergy between business, development, and operations through a comprehensive array of tailored use cases centralized in one location. It enables you to effectively manage and integrate even the most intricate multicloud scenarios, boasting seamless compatibility with all leading cloud platforms and technologies. Gain an expansive understanding of your environment that encompasses metrics, logs, and traces, complemented by a detailed topological model that includes distributed tracing, code-level insights, entity relationships, and user experience data—all presented in context. By integrating Dynatrace’s open API into your current ecosystem, you can streamline automation across all aspects, from development and deployment to cloud operations and business workflows, ultimately leading to increased efficiency and innovation. This cohesive approach not only simplifies management but also drives measurable improvements in performance and responsiveness across the board.

LogicMonitor is the leading SaaS-based, fully-automated observability platform for enterprise IT and managed service providers. Cloud-first and hybrid ready. LogicMonitor helps enterprises and managed service providers gain IT insights through comprehensive visibility into networks, cloud, applications, servers, log data and more within one unified platform. Drive collaboration and efficiency across IT and DevOps teams, in a fully secure, intelligently automated platform. By providing end-to-end observability for enterprise businesses, LogicMonitor connects coders to consumers, customer experience to the cloud, infrastructure to applications and business insights into instant actions. Maximize uptime, optimize end-user experience, predict what comes next, and keep your business fearlessly moving forward.

Coralogix is the most popular stateful streaming platform, providing engineering teams with real-time insight and long-term trend analysis without relying on storage or indexing. To manage, monitor, alert, and manage your applications, you can import data from any source. Coralogix automatically narrows the data from millions of events to common patterns, allowing for faster troubleshooting and deeper insights. Machine learning algorithms constantly monitor data patterns and flows among system components and trigger dynamic alarms to let you know when a pattern is out of the norm without the need for static thresholds or pre-configurations. Connect any data in any format and view your insights anywhere, including our purpose-built UI and Kibana, Grafana as well as SQL clients and Tableau. You can also use our CLI and full API support. Coralogix has successfully completed the relevant privacy and security compliances by BDO, including SOC 2, PCI and GDPR.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

SolarWinds®, Loggly®, is a cost-effective, hosted and scalable multi-source log management system that combines powerful search and analytics with extensive alerting, dashboarding and reporting to help you identify potential problems and reduce Mean Time to Fix (MTTR). LOGGLY AT A GLANCE >> Full-stack log aggregation, log monitoring and data analytics Log analytics provides context and patterns for events, as well as anomalies that can be used to gain deeper insights. >> Highly scalable to ingest large data volumes and enable quick searching across large and complicated environments >> Spot usage patterns with application, service, and infrastructure-aligned historical analysis of user, log, and infrastructure data >> Manage by exception: Identify variations from the norm with powerful log formatting capabilities and analytic search capabilities

Swiftly eliminate threats through immediate detection and lightning-fast search capabilities while minimizing logging expenses. Accelerate your threat detection efforts by analyzing incoming data in less than a second. Identify suspicious behaviors significantly faster than conventional security logging solutions allow. Utilizing a robust, index-free architecture enables you to log all data and keep it for years without facing ingestion delays. This approach allows for the collection of more data for investigations and threat hunting, scaling to over 1 PB of data ingestion daily with minimal impact on performance. Falcon LogScale enhances your searching, hunting, and troubleshooting capabilities through a user-friendly, powerful query language. Explore deeper insights with filtering, aggregation, and regex support to enrich your analysis. Effortlessly execute free-text searches across all events. Both live and historical dashboards empower users to swiftly prioritize threats, observe trends, and address issues. Furthermore, users can seamlessly navigate from visual charts to detailed search results for deeper insights. This holistic approach ensures a comprehensive understanding of your security landscape.

PiaSoft Flow Logs Viewer, available in the AWS Marketplace, is a powerful tool designed to enhance your understanding of data through effective filtering and sorting features that facilitate swift conclusions. This tool is particularly beneficial for managing your security groups by enabling comparisons of rules against your VPC flow logs, allowing for the identification of utilized, unused, and detached security group rules. Flow logs contain a vast amount of valuable information, and PiaSoft Flow Logs Viewer unlocks this data by providing enriched views, practical conversions, and user-friendly filters. The viewer enhances your logs with essential contextual information about your VPC, streamlining your search for specific log streams. With its filtering and sorting capabilities, you can quickly access the data you need, making the analysis process more efficient. As data is immediately available in the Flow Logs Viewer upon receipt, users experience no ingestion delays, ensuring real-time access to essential information for timely decision-making. This combination of features makes PiaSoft Flow Logs Viewer an indispensable tool for anyone looking to optimize their cloud security and data analysis.

Efficient, large-scale log management and analysis in real time. Securely store, search, analyze, and receive alerts for all your log data and events effortlessly. Ingest custom logs from any origin. This is a fully managed service capable of handling exabyte-scale application and infrastructure logs. Experience real-time analysis of your log data. It is compatible with Google Cloud services and seamlessly integrates with Cloud Monitoring, Error Reporting, and Cloud Trace, enabling you to swiftly diagnose issues throughout your applications and infrastructure. With ingestion latency measured in sub-seconds and an impressive ingestion rate of terabytes per second, you can safely accumulate all logs from various sources without any management burden. Enhance your capabilities by merging Cloud Logging with BigQuery for in-depth analysis, and utilize log-based metrics to create real-time dashboards in Cloud Monitoring. Additionally, this comprehensive management solution simplifies the process of maintaining data integrity while optimizing system performance.

Gravwell is an all you can ingest data fusion platform that allows for complete context and root cause analysis for security and business data. Gravwell was created to provide machine data benefits to all customers, large or small, binary or text, security or operational. An analytics platform that can do things you've never seen before is possible when experienced hackers team up with big data experts. Gravwell provides security analytics that go beyond log data to industrial processes, vehicle fleets, IT infrastructure or all of it. Do you need to track down an access breach? Gravwell can run facial recognition machine-learning against camera data to identify multiple subjects who enter a facility with one badge-in. Gravwell can also correlate building access logs. We are here to help people who require more than text log searching and want it sooner than they can afford.

Achieve unparalleled security observability by leveraging insightful data from your logs. Enhance the visibility of your infrastructure while bolstering threat prevention through a flexible, multi-platform solution. With compatibility spanning over 100 operating system versions and more than 120 customizable modules, you can obtain extensive insights and strengthen your overall security posture. Significantly lower the expenses associated with your SIEM solution by effectively minimizing noisy and redundant log data. By filtering events, truncating unnecessary fields, and eliminating duplicates, you can substantially improve the quality of your logs. Unify the collection and aggregation of logs from all systems within your organization using a single, comprehensive tool. This approach simplifies the management of security-related events and accelerates both detection and response times. Additionally, empower your organization to fulfill compliance obligations by centralizing specific logs within a SIEM while archiving others for long-term retention. The NXLog Platform serves as an on-premises solution designed for streamlined log management, offering versatile processing capabilities to meet diverse needs. This powerful tool not only enhances security efficiency but also provides a streamlined approach to managing extensive log data.

SpectX is a powerful log analysis tool for data exploration and incident investigation. It does not index or ingest data, but it runs queries directly on log files in file systems and blob storage. Local log servers, cloud storage Hadoop clusters JDBC-databases production servers, Elastic clusters or anything that speaks HTTP – SpectX transforms any text-based log file into structured virtual views. SpectX query language was inspired by Unix piping. Analysts can create complex queries and gain advanced insights with the extensive library of query functions that are built into SpectX. Each query can be executed via the browser-based interface. Advanced options allow you to customize the resultset. This makes it easy for SpectX to be integrated with other applications that require clean, structured data. SpectX's easy-to-read pattern-matching language can match any data without the need to read or create regex.

You can instantly centralize, monitor, analyze, and report logs from any platform at any volume. Log aggregation, custom-parsing, smart alarming, role-based access controls, real time search, graphs and log analysis are all seamlessly integrated in this suite of tools. Our cloud-based SaaS solution is ready in just two minutes. It collects logs from AWS and Docker, Heroku, Elastic, and other sources. Running Kubernetes? Log in to two kubectl commands. Simple, pay per GB pricing without paywalls or overage charges. Fixed data buckets are also available. Pay only for the data that you use on a monthly basis. We are Privacy Shield certified and comply with HIPAA, GDPR, PCI and SOC2. Your logs will be protected in transit and storage with our military-grade encryption. Developers are empowered with modernized, user-friendly features and natural search queries. We save you time and money with no special training.

Introducing the ultimate multicloud monitoring solution that offers real-time analytics for diverse environments, previously known as SignalFx. This platform enables monitoring across any environment using a highly scalable streaming architecture. It features open, adaptable data collection and delivers rapid visualizations of services in mere seconds. Designed specifically for dynamic and ephemeral cloud-native environments, it supports various scales including Kubernetes, containers, and serverless architectures. Users can promptly detect, visualize, and address issues as they emerge. It empowers real-time infrastructure performance monitoring at cloud scale through innovative predictive streaming analytics. With over 200 pre-built integrations for various cloud services and ready-to-use dashboards, it facilitates swift visualization of your entire operational stack. Additionally, the system can autodiscover, break down, group, and explore various clouds, services, and systems effortlessly. This comprehensive solution provides a clear understanding of how your infrastructure interacts across multiple services, availability zones, and Kubernetes clusters, enhancing operational efficiency and response times.

Capture all logs and respond to inquiries in real-time with cutting-edge log management that includes streaming observability and cost-effective Unlimited Plans. Humio is designed to quickly ingest and preserve streaming data as it arrives, no matter the quantity. Alerts, scripts, and dashboards reflect updates instantly, while both live tail and searches of retained data experience nearly zero latency. With an index-free architecture, Humio accommodates any format, whether structured or unstructured. Users can formulate any question regarding live or archived data without the need to define fields in advance, ensuring rapid response times. Humio’s pricing is competitive, featuring top-tier Unlimited Plans that cater to various needs. Its sophisticated compression techniques and bucket storage approach can reduce compute and storage expenses by up to 70%. Moreover, Humio can be deployed in just a few minutes and requires minimal upkeep. By ingesting unlimited data at any throughput, Humio ensures you have access to the complete dataset necessary for timely incident detection and response, making it a robust solution for modern data management. Its user-friendly interface and efficient architecture position it as a leader in the log management space.

Logmanager is a centralized log management platform enhanced with SIEM capabilities that radically simplifies responses to cyberthreats, legal compliance, and troubleshooting. By transforming diverse logs, events, metrics, and traces into actionable insights, it helps security and operations teams respond swiftly to any incident. Experience effortless self-management and customization, peerless functionality, and the flexibility to take control of your entire technology stack. – Effortlessly aggregate and standardize log files from diverse sources into one unified platform. – Enjoy rapid deployment, 140+ built-in integrations, and effortless scalability. – Get real-time visibility into security events to quickly detect, analyze, and address threats. – Use dozens of predefined security dashboards or customize your own views. – Set up alerts based on multiple trigger conditions or custom-defined rules. – Transparent pricing with no hidden fees. Pay as you go, scale as you grow.

Checkmk is an IT monitoring system that allows system administrators, IT managers and DevOps teams, to quickly identify and resolve issues across their entire IT infrastructure (servers and applications, networks, storage and databases, containers, etc. Checkmk is used daily by more than 2,000 commercial customers worldwide and many other open-source users. Key product features * Service state monitoring with nearly 2,000 checks 'outside the box' * Event-based and log-based monitoring * Metrics, dynamic Graphing, and Long-Term Storage * Comprehensive reporting incl. Accessibility and SLAs * Flexible notifications and automated alert handling * Monitoring business processes and complex systems * Software and hardware inventory * Graphical, rule-based configuration and automated service discovery These are the top use cases * Server Monitoring * Network Monitoring * Application Monitoring * Database Monitoring * Storage Monitoring * Cloud Monitoring * Container Monitoring

LogFusion is an advanced real-time log monitoring tool that caters to the needs of system administrators and developers alike! It offers features like personalized highlighting rules and filtering options, allowing users to customize their experience. Additionally, users can synchronize their LogFusion preferences across multiple devices. The application's robust custom highlighting enables the identification of specific text strings or regex patterns, applying tailored formatting to the relevant log entries. With LogFusion's sophisticated text filtering capability, users can seamlessly filter out and conceal lines that do not correspond with their search criteria, all while new entries are continuously added. The platform supports intricate queries, making it straightforward to refine your search results. Moreover, LogFusion can automatically detect and incorporate new logs from designated Watched Folders; simply choose the folders you want to monitor, and LogFusion takes care of opening any new log files generated in those locations. This ensures that users remain up-to-date with the latest log data effortlessly.

Open source is a passion for engineers. We supercharged the top open-source monitoring tools, including Jaeger, Prometheus and ELK, and combined them into a scalable SaaS platform. You can collect and analyze all your logs, metrics, traces and other data on one platform for end to end monitoring. You can visualize your data using customizable and easy-to-use monitoring dashboards. Logz.io's AI/ML human-coach automatically detects and corrects any errors or exceptions in your logs. Alerting to Slack and PagerDuty, Gmail and other endpoints allows you to quickly respond to new events. Centralize your metrics at any scale on Prometheus-as-a-service. Unified with logs, traces. Just three lines of code are required to add to your Prometheus config file to start forwarding your metrics and data to Logz.io.

Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments.

Leverage the most extensively utilized observability platform, founded on the reliable Elastic Stack (commonly referred to as the ELK Stack), to integrate disparate data sources, providing cohesive visibility and actionable insights. To truly monitor and extract insights from your distributed systems, it is essential to consolidate all your observability data within a single framework. Eliminate data silos by merging application, infrastructure, and user information into a holistic solution that facilitates comprehensive observability and alerting. By integrating limitless telemetry data collection with search-driven problem-solving capabilities, you can achieve superior operational and business outcomes. Unify your data silos by assimilating all telemetry data, including metrics, logs, and traces, from any source into a platform that is open, extensible, and scalable. Enhance the speed of problem resolution through automatic anomaly detection that leverages machine learning and sophisticated data analytics, ensuring you stay ahead in today's fast-paced environment. This integrated approach not only streamlines processes but also empowers teams to make informed decisions swiftly.

You can quickly and easily examine machine data to identify the root cause of IT problems faster. Log aggregation, filtering, filtering, alerting, and tagging are all part of this intuitive and powerfully designed system. Integrated with Orion Platform products, it allows for a single view of IT infrastructure monitoring logs. Because we have experience as network and system engineers, we can help you solve your problems. Log data is generated by your infrastructure to provide performance insight. Log Analyzer log monitoring tools allow you to collect, consolidate, analyze, and combine thousands of Windows, syslog, traps and VMware events. This will enable you to do root-cause analysis. Basic matching is used to perform searches. You can perform searches using multiple search criteria. Filter your results to narrow down the results. Log monitoring software allows you to save, schedule, export, and export search results.

Snare Central serves as a comprehensive log management system that gathers, processes, and archives log data from a multitude of sources throughout an organization's network. This solution offers a secure and adaptable environment for consolidating logs generated by various systems, applications, and devices, thereby facilitating effective monitoring and analysis. With its sophisticated filtering and reporting features, Snare Central empowers organizations to identify security risks, maintain regulatory compliance, and enhance operational efficiency. The platform also allows for integration with external tools to boost analytical capabilities and comes equipped with customizable dashboards that provide immediate insights. Tailored to meet the demands of security, compliance, and IT teams, Snare Central not only delivers a consolidated view of log data but also aids in conducting thorough investigations, thereby fostering a proactive security posture. Ultimately, it plays a crucial role in helping organizations stay ahead of potential threats through efficient log management.

Say goodbye to intricate log management setups and effortlessly retrieve log information from Docker containers, Kubernetes, and remote log files via SSH. With Retrospective, tedious search and monitoring tasks are transformed into a matter of mere minutes, utilizing just your laptop without the need for log collector agents or additional software. This tool allows you to efficiently search and oversee extensive collections of log files from both local and remote origins, ensuring that your servers remain unburdened. You can navigate your files through Retrospective’s sophisticated features to delve into your search and monitoring outcomes. Keep an eye on container log data while easily identifying points of interest within your local container logs using the intuitive search criteria composer. Furthermore, Retrospective provides a consolidated view of your entire setup, accommodating multiple containers operating simultaneously within your Docker environment. The organized data can also be exported in various formats for compatibility with other analytical tools, making it a versatile asset for log management. This streamlined approach not only saves time but also enhances your overall operational efficiency.

VirtualMetric is a comprehensive data monitoring solution that provides organizations with real-time insights into security, network, and server performance. Using its advanced DataStream pipeline, VirtualMetric efficiently collects and processes security logs, reducing the burden on SIEM systems by filtering irrelevant data and enabling faster threat detection. The platform supports a wide range of systems, offering automatic log discovery and transformation across environments. With features like zero data loss and compliance storage, VirtualMetric ensures that organizations can meet security and regulatory requirements while minimizing storage costs and enhancing overall IT operations.

Utilizing log services is essential, yet your teams desire insights at the cluster level. Enhance efficiency and obtain more profound insights with IBM® Log Analysis service, which offers seamless integration with numerous cloud-native runtimes and environments. Experience features such as log collection, log tailing, and rapid log searches. Benefit from natural language queries and a search retention period of up to 30 days. You can set up cluster-level logging for Kubernetes clusters, providing access to logs for various types, including worker, pod, application, and network logs. This data can be monitored from diverse sources, allowing for centralized management of Ubuntu logs on IBM Cloud®. DevOps teams have the capability to archive logs from an IBM Log Analysis instance directly into a bucket within an IBM Cloud Object Storage instance. By aggregating all log data in one central location, you can anticipate compatibility with services like Pager Duty, Slack, webhooks, and many others. The service supports over 30 integrations and ingestion sources, while also offering features like natural language queries and a pay-per-GB pricing model. This comprehensive approach not only simplifies log management but also empowers teams to gain actionable insights quickly.

This tool offers a save scan feature that allows users to access previously saved exchange log files. It enables the export of scanned Exchange files into several formats, including PDF, MSG, EML, and HTML. The Exchange log analyzer also includes a function to repair damaged Exchange log files. Users can analyze Exchange server log files alongside all associated data items without facing any restrictions on the size of the edb.log file. An EDB file is essential for analyzing and accessing the Exchange log files. The software is compatible with multiple versions of Exchange, enabling email extraction from various Exchange database files. Additionally, there is an option to filter Exchange log files based on specific date ranges. By utilizing the Exchange Log Analyzer tool, a user can view and load the transaction edb.log from the Exchange server. Initially, the software analyzes the Exchange log reader file, subsequently presenting a comprehensive view of all necessary data, including emails from transaction log files of Exchange Server versions 2016, 2013, 2010, and 2007. It is crucial to remember that an EDB file is required to carry out a thorough log analysis. Furthermore, this tool enhances the overall efficiency and effectiveness of managing Exchange log files.

In an ideal scenario, there would be no necessity to monitor employee internet usage, but we do not live in such a world. Consequently, in today's environment rife with harmful software, illicit file sharing, spyware, adware, hacking, cracking, and phishing attacks, implementing a robust solution is imperative: bt-LogAnalyzer from Burstek. This software is designed for the analysis of web logs and delivers detailed reporting in a streamlined format. As an integral part of Burstek's suite of enterprise offerings, bt-LogAnalyzer equips businesses with essential security insights and internet log analysis, enabling them to make well-informed choices regarding the management, utilization, and safeguarding of their online and email resources. By optimizing these critical assets, companies can achieve maximum operational efficiency and productivity. The tool meticulously examines internet logs capturing all outgoing web activity and produces categorized graphical and numerical reports that either describe in detail or highlight the entirety of web usage across an organization. Through its comprehensive analysis, organizations can better understand their internet consumption patterns and enhance overall security measures.

VeloDB, which utilizes Apache Doris, represents a cutting-edge data warehouse designed for rapid analytics on large-scale real-time data. It features both push-based micro-batch and pull-based streaming data ingestion that occurs in mere seconds, alongside a storage engine capable of real-time upserts, appends, and pre-aggregations. The platform delivers exceptional performance for real-time data serving and allows for dynamic interactive ad-hoc queries. VeloDB accommodates not only structured data but also semi-structured formats, supporting both real-time analytics and batch processing capabilities. Moreover, it functions as a federated query engine, enabling seamless access to external data lakes and databases in addition to internal data. The system is designed for distribution, ensuring linear scalability. Users can deploy it on-premises or as a cloud service, allowing for adaptable resource allocation based on workload demands, whether through separation or integration of storage and compute resources. Leveraging the strengths of open-source Apache Doris, VeloDB supports the MySQL protocol and various functions, allowing for straightforward integration with a wide range of data tools, ensuring flexibility and compatibility across different environments.

Centralize all your logs in a single location. With Trunc, you can efficiently troubleshoot errors, identify potential attacks, audit user activity, and meet compliance standards. Access all your logs effortlessly using the full-text search feature. Logs are systematically categorized, correlated, and securely stored, while also offering alerts and proactive response capabilities for enhanced security management.

Better Stack brings all your observability needs under one roof to help you build and ship more reliable software, faster. Handle on-call scheduling, get clear, actionable alerts, and resolve issues quickly – all from a single tool that covers incident response, uptime checks, status pages, log management, and infrastructure monitoring. Designed to scale with your team, Better Stack unifies your alerting and monitoring workflows into a clean, powerful interface that boosts visibility and shortens response times. Key capabilities include an OpenTelemetry-native Kubernetes collector powered by eBPF, instant alerting, and dashboards built for collaboration. Powered by ClickHouse, Better Stack enables rapid-fire queries and seamless ingestion of massive, high-cardinality datasets. It turns your logs into structured, searchable data, giving you the ability to query everything using SQL – just like a single, unified database. With 100+ integrations, it fits right into your existing workflow, no extra effort needed.

CLS is packed with a multitude of features such as real-time log collection, structured logging, dependable storage, fast search capabilities, multidimensional analysis, and scheduled log shipping. Additionally, it offers a comprehensive API and user-friendly console for efficient log management. The platform is built on a scalable, distributed architecture that is incredibly flexible, enabling it to handle large volumes of logs simultaneously. This means users can effortlessly process hundreds of millions of log files daily without the typical challenges related to resource allocation. Logs are captured instantaneously, allowing for immediate searching and analysis as they are ingested into CLS. With its robust query engine, the service can sift through hundreds of millions of files in under a second, facilitating the examination and processing of substantial amounts of log data. CLS supports various log aggregation methods, including the LogListener agent, API, and SDK, which streamline the collection and centralized management of logs. Furthermore, the initial setup can be accomplished in as little as five minutes, making it an attractive option for organizations seeking quick deployment. Overall, CLS provides a comprehensive solution for organizations that require efficient log management and analysis.

A Centralized Windows Event Log Management Software Tool for Enterprises. A Centralized Log Consolidator. A real-time Windows Event Log, Syslog, and Application Log Monitor software tool. A Log Analyzer Tool. A Windows Syslog Server. An Azure Active Directory Auditing Software Software Tool. Compliance Reporting Software for JSIG, NIST, CJIS PCI/DSS. HIPAA, SOX. GDPR, CIS Microsoft 365 Security & Compliance and more. 80+ pre-built reports. A Windows Event Log Viewer that is enhanced with advanced search and filtering capabilities. Windows Event Logs, Syslogs and text-based Application Logs on Windows, Linux and the cloud-based Azure Active Directory Audit Logs are supported. Log entries can be saved to a local or remote log repository once they have been harvested. Event Log Manager offers 5 methods to centralize log entries, including MySQL, Microsoft SQL Server and elasiticsearch.

Utilize Azure Table storage to manage petabytes of semi-structured data efficiently while keeping expenses low. In contrast to various data storage solutions, whether local or cloud-based, Table storage enables seamless scaling without the need for manual sharding of your dataset. Additionally, concerns about data availability are mitigated through the use of geo-redundant storage, which ensures that data is replicated three times within a single region and an extra three times in a distant region, enhancing data resilience. This storage option is particularly advantageous for accommodating flexible datasets—such as user data from web applications, address books, device details, and various other types of metadata—allowing you to develop cloud applications without restricting the data model to specific schemas. Each row in a single table can possess a unique structure, for instance, featuring order details in one entry and customer data in another, which grants you the flexibility to adapt your application and modify the table schema without requiring downtime. Furthermore, Table storage is designed with a robust consistency model to ensure reliable data access. Overall, it provides an adaptable and scalable solution for modern data management needs.

Hydrolix serves as a streaming data lake that integrates decoupled storage, indexed search, and stream processing, enabling real-time query performance at a terabyte scale while significantly lowering costs. CFOs appreciate the remarkable 4x decrease in data retention expenses, while product teams are thrilled to have four times more data at their disposal. You can easily activate resources when needed and scale down to zero when they are not in use. Additionally, you can optimize resource usage and performance tailored to each workload, allowing for better cost management. Imagine the possibilities for your projects when budget constraints no longer force you to limit your data access. You can ingest, enhance, and transform log data from diverse sources such as Kafka, Kinesis, and HTTP, ensuring you retrieve only the necessary information regardless of the data volume. This approach not only minimizes latency and costs but also eliminates timeouts and ineffective queries. With storage being independent from ingestion and querying processes, each aspect can scale independently to achieve both performance and budget goals. Furthermore, Hydrolix's high-density compression (HDX) often condenses 1TB of data down to an impressive 55GB, maximizing storage efficiency. By leveraging such innovative capabilities, organizations can fully harness their data potential without financial constraints.

As organizations increasingly rely on data for their operations, the integration of this data has emerged as a critical component in achieving successful digital transformation, emphasizing that such transformation cannot occur without the effective handling of data. To navigate this landscape, organizations face several challenges: eliminating information silos within their systems, ensuring agile and rapid processing of diverse and expanding data types—including structured, semi-structured, and unstructured data—managing high data loads, and enabling real-time data ingestion for timely decision-making. Furthermore, they must also keep a close watch on the costs associated with data infrastructure. In this scenario, Stambia offers a comprehensive solution that caters to various data processing needs, capable of being deployed both in the cloud and on-premises, while ensuring effective management and optimization of data ownership and transformation expenses, ultimately empowering organizations to thrive in a data-centric environment. This adaptable approach allows for the seamless integration of data across different platforms, enhancing the overall efficiency of digital operations.

OpenText™ Security Log Analytics offers a powerful and scalable security operations stack designed to improve log management, threat hunting, and compliance efforts across organizations. Its intuitive natural language-like interface allows analysts to perform fast, hypothesis-driven queries without needing complex syntax, reducing the time and effort to identify threats. The platform is built on a columnar database that ensures data immutability, safeguarding log integrity against unauthorized changes. Security teams benefit from automated workflows that minimize exposure time by handling tedious remediation tasks quickly and efficiently. With support for ingesting and normalizing data from more than 480 sources, it provides comprehensive visibility across diverse security environments. Compliance is simplified through automated and customizable reports tailored for regulatory requirements including GDPR, PCI, and FIPS 140-2. The solution is designed to scale effortlessly, allowing organizations to expand their infrastructure by adding nodes as needed. OpenText also offers flexible deployment options, including on-premises and managed services, to fit various operational needs.

RushDB is an innovative, open-source graph database that requires no configuration and rapidly converts JSON and CSV files into a fully normalized, queryable Neo4j graph, all while avoiding the complexities associated with schema design, migrations, and manual indexing. Tailored for contemporary applications as well as AI and machine learning workflows, RushDB offers an effortless experience for developers, merging the adaptability of NoSQL with the organized capabilities of relational databases. By incorporating automatic data normalization, ensuring ACID compliance, and featuring a robust API, RushDB streamlines the often challenging processes of data ingestion, relationship management, and query optimization, allowing developers to direct their energies toward building applications rather than managing databases. Some notable features include: 1. Instantaneous data ingestion without the need for configuration 2. Storage and querying capabilities powered by graph technology 3. Support for ACID transactions and seamless schema evolution 4. A developer-friendly API that facilitates querying akin to an SDK 5. High-performance capabilities for search and analytics 6. Flexibility to be self-hosted or cloud-compatible. This combination of features positions RushDB as a transformative solution in the realm of data management.

A cloud database that can scale to handle large streaming data sets. Kinetica harnesses modern vectorized processors to perform orders of magnitude faster for real-time spatial or temporal workloads. In real-time, track and gain intelligence from billions upon billions of moving objects. Vectorization unlocks new levels in performance for analytics on spatial or time series data at large scale. You can query and ingest simultaneously to take action on real-time events. Kinetica's lockless architecture allows for distributed ingestion, which means data is always available to be accessed as soon as it arrives. Vectorized processing allows you to do more with fewer resources. More power means simpler data structures which can be stored more efficiently, which in turn allows you to spend less time engineering your data. Vectorized processing allows for incredibly fast analytics and detailed visualizations of moving objects at large scale.

Enhance your decision-making process with a smarter and quicker approach using our Enterprise Document Intelligence Platform, designed to transform raw data into actionable insights. This adaptable platform leverages advanced cognitive Machine Learning and Natural Language Processing algorithms to automatically classify, extract, enrich, and integrate pertinent, timely, and accurate information from various documents. Delivered as a service, this solution minimizes ownership costs and accelerates the realization of value. The platform operates through a systematic process: first, it CLASSIFIES by ingesting structured, semi-structured, or unstructured documents and utilizing semantic understanding alongside visual cues to identify and categorize them. Next, it EXTRACTS essential words, phrases, and text segments from both printed and handwritten materials while detecting signatures or annotations on pages, allowing for easy review and corrections of the extracted content. Furthermore, the AI system learns and improves from human corrections, enhancing its accuracy over time. Finally, the platform offers ENRICHMENT through customizable data verification, validation, standardization, and normalization, ensuring that the information you rely on is both reliable and relevant. With this comprehensive approach, organizations can unlock the full potential of their documents and drive informed decisions.

A data lake serves as a comprehensive repository designed for handling extensive data and artificial intelligence operations, accommodating both structured and unstructured data at any volume. It is essential for organizations looking to harness the power of Data Lake Formation (DLF), which simplifies the creation of a cloud-native data lake environment. DLF integrates effortlessly with various computing frameworks while enabling centralized management of metadata and robust enterprise-level permission controls. It systematically gathers structured, semi-structured, and unstructured data, ensuring substantial storage capabilities, and employs a design that decouples computing resources from storage solutions. This architecture allows for on-demand resource planning at minimal costs, significantly enhancing data processing efficiency to adapt to swiftly evolving business needs. Furthermore, DLF is capable of automatically discovering and consolidating metadata from multiple sources, effectively addressing issues related to data silos. Ultimately, this functionality streamlines data management, making it easier for organizations to leverage their data assets.