Best Data Management Software for Amazon CloudWatch

Cloud-based solution for observability that helps businesses manage and track workload and performance through a single dashboard. Monitor all the services you run on your cloud without compromising cost, granularity or scale. Groundcover is a cloud-native APM solution that makes observability easy so you can focus on creating world-class products. Groundcover's proprietary sensor unlocks unprecedented granularity for all your applications. This eliminates the need for costly changes in code and development cycles, ensuring monitoring continuity.

Access and access management today have become more complex and frustrating. strongDM redesigns access around the people who need it, making it incredibly simple and usable while ensuring total security and compliance. We call it People-First Access. End users enjoy fast, intuitive, and auditable access to the resources they need. Administrators gain precise controls, eliminating unauthorized and excessive access permissions. IT, Security, DevOps, and Compliance teams can easily answer who did what, where, and when with comprehensive audit logs. It seamlessly and securely integrates with every environment and protocol your team needs, with responsive 24/7 support.

Build and share real-time business dashboards without the hassle. Geckoboard integrates with over 80 tools and services to help you pull in your data and get a professional-looking dashboard in front of others in a matter of minutes. Create dashboards directly in your browser with a straightforward, drag-and-drop interface, and bring important numbers, metrics and KPIs out of lifeless reports. When ready, share your dashboard with a link, invite your teammates, schedule email and Slack updates to go out automatically. For maximum visibility, Geckoboard has ‘Send to TV’, allowing you to pair your account with a browser on a large screen or TV, and pick which dashboards you’d like displayed on there. It can even loop through several dashboard on one screen. We’ve got easy-to-follow instructions for how to achieve this in an afternoon using affordable off the shelf hardware.

InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 250 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on-premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University.

Kapacitor serves as a dedicated data processing engine for InfluxDB 1.x and is also a core component of the InfluxDB 2.0 ecosystem. This powerful tool is capable of handling both stream and batch data, enabling real-time responses through its unique programming language, TICKscript. In the context of contemporary applications, merely having dashboards and operator alerts is insufficient; there is a growing need for automation and action-triggering capabilities. Kapacitor employs a publish-subscribe architecture for its alerting system, where alerts are published to specific topics and handlers subscribe to these topics for updates. This flexible pub/sub framework, combined with the ability to execute User Defined Functions, empowers Kapacitor to function as a pivotal control plane within various environments, executing tasks such as auto-scaling, stock replenishment, and managing IoT devices. Additionally, Kapacitor's straightforward plugin architecture allows for seamless integration with various anomaly detection engines, further enhancing its versatility and effectiveness in data processing.

Sedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos.

Enhance your operational efficiency by leveraging a widely-used open-source solution managed by AWS. Implement auditing and data security measures with an architecture that includes built-in certifications for both data centers and networks. Proactively identify potential threats and respond to system conditions by utilizing machine learning, alert notifications, and visualization tools. Streamline your time and resources to focus on strategic initiatives. Gain secure access to real-time search capabilities, monitoring, and analysis of both business and operational data. Amazon OpenSearch Service simplifies the process of conducting interactive log analytics, monitoring applications in real-time, and enabling website search functionalities. As an open-source, distributed search and analytics suite that evolved from Elasticsearch, OpenSearch allows for extensive data exploration. Amazon OpenSearch Service provides users with the latest releases of OpenSearch, compatibility with 19 different versions of Elasticsearch (ranging from 1.5 to 7.10), and visualization features through OpenSearch dashboards and Kibana, ensuring a comprehensive toolkit for data management. This versatile service empowers organizations to harness data insights efficiently while maintaining a robust security posture.

Effortlessly capture, modify, and transfer streaming data in real time. You can create a delivery stream, choose your desired destination, and begin streaming data with minimal effort. The system automatically provisions and scales necessary compute, memory, and network resources without the need for continuous management. You can convert raw streaming data into various formats such as Apache Parquet and dynamically partition it without the hassle of developing your processing pipelines. Amazon Data Firehose is the most straightforward method to obtain, transform, and dispatch data streams in mere seconds to data lakes, data warehouses, and analytics platforms. To utilize Amazon Data Firehose, simply establish a stream by specifying the source, destination, and any transformations needed. The service continuously processes your data stream, automatically adjusts its scale according to the data volume, and ensures delivery within seconds. You can either choose a source for your data stream or utilize the Firehose Direct PUT API to write data directly. This streamlined approach allows for greater efficiency and flexibility in handling data streams.

Our platform allows businesses to use data, including its application in advanced analysis, machine learning and AI, to do great things without worrying that customers, employees or intellectual property are at risk. The Protegrity Data Protection Platform does more than just protect data. It also classifies and discovers data, while protecting it. It is impossible to protect data you don't already know about. Our platform first categorizes data, allowing users the ability to classify the type of data that is most commonly in the public domain. Once those classifications are established, the platform uses machine learning algorithms to find that type of data. The platform uses classification and discovery to find the data that must be protected. The platform protects data behind many operational systems that are essential to business operations. It also provides privacy options such as tokenizing, encryption, and privacy methods.

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.

Centralize, transform, and store your data seamlessly. Logstash serves as a free and open-source data processing pipeline on the server side, capable of ingesting data from numerous sources, transforming it, and then directing it to your preferred storage solution. It efficiently handles the ingestion, transformation, and delivery of data, accommodating various formats and levels of complexity. Utilize grok to extract structure from unstructured data, interpret geographic coordinates from IP addresses, and manage sensitive information by anonymizing or excluding specific fields to simplify processing. Data is frequently dispersed across multiple systems and formats, creating silos that can hinder analysis. Logstash accommodates a wide range of inputs, enabling the simultaneous collection of events from diverse and common sources. Effortlessly collect data from logs, metrics, web applications, data repositories, and a variety of AWS services, all in a continuous streaming manner. With its robust capabilities, Logstash empowers organizations to unify their data landscape effectively. For further information, you can download it here: https://sourceforge.net/projects/logstash.mirror/

Empower individuals to explore and analyze streaming data effectively. By sharing, documenting, and organizing your data, you can boost productivity by as much as 95%. Once you have your data, you can create applications tailored for real-world use cases. Implement a security model focused on data to address the vulnerabilities associated with open source technologies, ensuring data privacy is prioritized. Additionally, offer secure and low-code data pipeline functionalities that enhance usability. Illuminate all hidden aspects and provide unmatched visibility into data and applications. Integrate your data mesh and technological assets, ensuring you can confidently utilize open-source solutions in production environments. Lenses has been recognized as the premier product for real-time stream analytics, based on independent third-party evaluations. With insights gathered from our community and countless hours of engineering, we have developed features that allow you to concentrate on what generates value from your real-time data. Moreover, you can deploy and operate SQL-based real-time applications seamlessly over any Kafka Connect or Kubernetes infrastructure, including AWS EKS, making it easier than ever to harness the power of your data. By doing so, you will not only streamline operations but also unlock new opportunities for innovation.

Designed specifically for cloud-native environments, EraSearch offers a versatile data fabric that utilizes separate storage and processing capabilities, a genuine zero-schema architecture, and smart indexing to provide a log management solution that scales infinitely while significantly lowering both cost and complexity. Unlike many log management tools built on Elasticsearch, EraSearch was developed from the ground up to address its major shortcomings. By adopting a stateless architecture for its essential components, EraSearch allows for seamless management through Kubernetes, making it a pleasure to operate. The innovative coordination-free ingest method enables EraSearch to manage data at a much lower cost, setting it apart from traditional solutions. Additionally, with EraSearch, you can enjoy a fully automated experience, eliminating any concerns about maintaining the health of your cluster. Ultimately, this cutting-edge approach redefines log management for modern applications.

Amazon FinSpace streamlines the deployment of kdb Insights applications on AWS, making the process significantly easier. By automating the routine tasks necessary for provisioning, integrating, and securing the infrastructure needed for kdb Insights, Amazon FinSpace simplifies operations for its users. Furthermore, it offers intuitive APIs that enable customers to set up and initiate new kdb Insights applications in just a matter of minutes. This platform allows users the flexibility to transition their existing kdb Insights applications to AWS, harnessing the advantages of cloud computing without the burden of managing complex and expensive infrastructure. KX's kdb Insights serves as a robust analytics engine, tailored for the examination of both real-time and extensive historical time-series data. Frequently utilized by clients in Capital Markets, kdb Insights supports essential business functions such as options pricing, transaction cost analysis, and backtesting. Additionally, it eliminates the need to integrate more than 15 AWS services for the deployment of kdb, streamlining the entire process further. Overall, Amazon FinSpace empowers organizations to focus on their analytics while minimizing operational overhead.

Monitoring and visualization of real-time operations, including KPIs and dashboards. Also includes trends, analytics, hierarchy, alerts, and analytics. All data sources (industrial and IoT, business, and external) are gathered. It displays data in real-time on any device, without the need to move it.

An advanced machine learning monitoring system is designed to simplify the oversight and troubleshooting of numerous models. With unmatched explainability accuracy and exclusive analytical capabilities, data scientists can effectively navigate challenges without encountering false alarms or dead ends, enabling them to swiftly tackle critical issues. This ensures that your machine learning models remain fine-tuned, ultimately optimizing your business performance. TruEra's solution is powered by a state-of-the-art explainability engine that has been honed through years of meticulous research and development, showcasing a level of accuracy that surpasses contemporary tools. The enterprise-grade AI explainability technology offered by TruEra stands out in the industry. The foundation of the diagnostic engine is rooted in six years of research at Carnegie Mellon University, resulting in performance that significantly exceeds that of its rivals. The platform's ability to conduct complex sensitivity analyses efficiently allows data scientists as well as business and compliance teams to gain a clear understanding of how and why models generate their predictions, fostering better decision-making processes. Additionally, this robust system not only enhances model performance but also promotes greater trust and transparency in AI-driven outcomes.

Connect your systems to facilitate a seamless exchange of data in real-time. Streamline workflows to minimize the potential for human mistakes. With our ready-made integration templates, you can quickly set up, adjust, and initiate your integrations with just a few clicks. Foster collaboration across teams by linking various systems together. Instantly send and receive updates while ensuring that all comments, attachments, and associated data are transferred to your systems without delay. By integrating your systems, you can automate many of the most tedious tasks, resulting in significant savings on operational expenses. Additionally, safeguard your data during any system outages. ZigiOps operates without a database, ensuring that none of the transferred data is stored. Our integration solution features sophisticated data mapping and filtering capabilities, allowing users to connect entities at any hierarchical level, enhancing the overall efficiency of your processes. This powerful tool not only simplifies integration but also empowers teams to work more effectively together.

Circonus IRONdb simplifies the management and storage of limitless telemetry data, effortlessly processing billions of metric streams. It empowers users to recognize both opportunities and challenges in real time, offering unmatched forensic, predictive, and automated analytics capabilities. With the help of machine learning, it automatically establishes a "new normal" as your operations and data evolve. Additionally, Circonus IRONdb seamlessly integrates with Grafana, which natively supports our analytics query language, and is also compatible with other visualization tools like Graphite-web. To ensure data security, Circonus IRONdb maintains multiple copies across a cluster of IRONdb nodes. While system administrators usually oversee clustering, they often dedicate considerable time to its upkeep and functionality. However, with Circonus IRONdb, operators can easily configure their clusters to run autonomously, allowing them to focus on more strategic tasks rather than the tedious management of their time series data storage. This streamlined approach not only enhances efficiency but also maximizes resource utilization.

QueryPie serves as a unified platform that consolidates diverse data sources and security protocols into a single interface. Accelerate your company's journey toward achievement without altering your current data infrastructure. In an era driven by data, effective data governance has become essential. Make certain that you adhere to data governance regulations while simultaneously granting multiple users access to an increasing volume of essential data. Formulate data access policies by incorporating crucial factors such as IP addresses and time of access. You can create various privilege types based on SQL commands categorized into DML, DCL, and DDL, allowing for secure data analysis and modifications. Effortlessly monitor SQL event details and analyze user behavior along with potential security threats by examining logs filtered by permissions. Furthermore, all historical data can be exported for comprehensive reporting, ensuring that you have a clear view of your data usage and security practices. This holistic approach not only enhances oversight but also supports informed decision-making for future strategies.

TROCCO is an all-in-one modern data platform designed to help users seamlessly integrate, transform, orchestrate, and manage data through a unified interface. It boasts an extensive array of connectors that encompass advertising platforms such as Google Ads and Facebook Ads, cloud services like AWS Cost Explorer and Google Analytics 4, as well as various databases including MySQL and PostgreSQL, and data warehouses such as Amazon Redshift and Google BigQuery. One of its standout features is Managed ETL, which simplifies the data import process by allowing bulk ingestion of data sources and offers centralized management for ETL configurations, thereby removing the necessity for individual setup. Furthermore, TROCCO includes a data catalog that automatically collects metadata from data analysis infrastructure, creating a detailed catalog that enhances data accessibility and usage. Users have the ability to design workflows that enable them to organize a sequence of tasks, establishing an efficient order and combination to optimize data processing. This capability allows for increased productivity and ensures that users can better capitalize on their data resources.

Observo AI is an innovative platform tailored for managing large-scale telemetry data within security and DevOps environments. Utilizing advanced machine learning techniques and agentic AI, it automates the optimization of data, allowing companies to handle AI-generated information in a manner that is not only more efficient but also secure and budget-friendly. The platform claims to cut data processing expenses by over 50%, while improving incident response speeds by upwards of 40%. Among its capabilities are smart data deduplication and compression, real-time anomaly detection, and the intelligent routing of data to suitable storage or analytical tools. Additionally, it enhances data streams with contextual insights, which boosts the accuracy of threat detection and helps reduce the occurrence of false positives. Observo AI also features a cloud-based searchable data lake that streamlines data storage and retrieval, making it easier for organizations to access critical information when needed. This comprehensive approach ensures that enterprises can keep pace with the evolving landscape of cybersecurity threats.

Onum serves as a real-time data intelligence platform designed to equip security and IT teams with the ability to extract actionable insights from in-stream data, thereby enhancing both decision-making speed and operational effectiveness. By analyzing data at its origin, Onum allows for decision-making in mere milliseconds rather than taking minutes, which streamlines intricate workflows and cuts down on expenses. It includes robust data reduction functionalities that smartly filter and condense data at the source, guaranteeing that only essential information is sent to analytics platforms, thus lowering storage needs and related costs. Additionally, Onum features data enrichment capabilities that convert raw data into useful intelligence by providing context and correlations in real time. The platform also facilitates seamless data pipeline management through effective data routing, ensuring that the appropriate data is dispatched to the correct destinations almost instantly, and it accommodates a variety of data sources and destinations. This comprehensive approach not only enhances operational agility but also empowers teams to make informed decisions swiftly.