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Ratings and Reviews 0 Ratings
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ManageEngine EventLog AnalyzerManage Engine's EventLog Analyzer stands out as the most cost-effective security information and event management (SIEM) software in the market. This secure, cloud-based platform encompasses vital SIEM functionalities such as log analysis, log consolidation, user activity surveillance, and file integrity monitoring. Additional features include event correlation, forensic analysis of logs, and retention of log data. With its robust capabilities, real-time alerts can be generated, enhancing security response. By utilizing Manage Engine's EventLog Analyzer, users can effectively thwart data breaches, uncover the underlying causes of security challenges, and counteract complex cyber threats while ensuring compliance and maintaining a secure operational environment.
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FastBoundSince its inception in 2010, FastBound has successfully handled over one billion transactions through its Electronic A&D and Electronic 4473 FFL software, serving countless Federal Firearms Licensees (FFLs). Rather than diversifying into many areas, FastBound has honed its focus on becoming a leader in firearms compliance software. The company's deep expertise and attentive customer support are key factors that lead software companies to prefer FastBound over any other provider for their firearms compliance needs. FastBound boasts a powerful API that integrates seamlessly with an expanding array of point of sale (POS), enterprise resource planning (ERP), and various other software solutions. Additionally, it offers a compliance guarantee backed by legal expertise, ensuring peace of mind for its users. Proudly developed and supported entirely within the United States, FastBound continues to set the standard for excellence in its niche market. The commitment to quality and customer satisfaction further reinforces its reputation as a trusted partner in the firearms industry.
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StarTreeStarTree Cloud functions as a fully-managed platform for real-time analytics, optimized for online analytical processing (OLAP) with exceptional speed and scalability tailored for user-facing applications. Leveraging the capabilities of Apache Pinot, it offers enterprise-level reliability along with advanced features such as tiered storage, scalable upserts, and a variety of additional indexes and connectors. The platform seamlessly integrates with transactional databases and event streaming technologies, enabling the ingestion of millions of events per second while indexing them for rapid query performance. Available on popular public clouds or for private SaaS deployment, StarTree Cloud caters to diverse organizational needs. Included within StarTree Cloud is the StarTree Data Manager, which facilitates the ingestion of data from both real-time sources—such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda—and batch data sources like Snowflake, Delta Lake, Google BigQuery, or object storage solutions like Amazon S3, Apache Flink, Apache Hadoop, and Apache Spark. Moreover, the system is enhanced by StarTree ThirdEye, an anomaly detection feature that monitors vital business metrics, sends alerts, and supports real-time root-cause analysis, ensuring that organizations can respond swiftly to any emerging issues. This comprehensive suite of tools not only streamlines data management but also empowers organizations to maintain optimal performance and make informed decisions based on their analytics.
What is Graph Engine?
Graph Engine (GE) is an advanced distributed in-memory data processing platform that utilizes a strongly-typed RAM storage system combined with a flexible distributed computation engine. This RAM storage operates as a high-performance key-value store, which can be accessed throughout a cluster of machines, enabling efficient data retrieval. By harnessing the power of this RAM store, GE allows for quick random data access across vast distributed datasets, making it particularly effective for handling large graphs. Its capacity to conduct fast data exploration and perform distributed parallel computations makes GE a prime choice for processing extensive datasets, specifically those with billions of nodes. The engine adeptly supports both low-latency online query processing and high-throughput offline analytics, showcasing its versatility in dealing with massive graph structures. The significance of schema in efficient data processing is highlighted by the necessity of strongly-typed data models, which are crucial for optimizing storage and accelerating data retrieval while maintaining clear data semantics. GE stands out in managing billions of runtime objects, irrespective of their sizes, and it operates with exceptional efficiency. Even slight fluctuations in the number of objects can greatly affect performance, emphasizing that every byte matters. Furthermore, GE excels in rapid memory allocation and reallocation, leading to impressive memory utilization ratios that significantly bolster its performance. This combination of capabilities positions GE as an essential asset for developers and data scientists who are navigating the complexities of large-scale data environments, enabling them to derive valuable insights from their data with ease.
What is Apache Giraph?
Apache Giraph is a robust framework that enables scalable iterative processing of graphs, making it ideal for managing extensive datasets. A prime example of its application is Facebook, where it is employed to analyze the complex social graph that emerges from user interactions and relationships. Originally created as an open-source counterpart to Google's Pregel, which was introduced in a 2010 paper, Giraph embodies the principles laid out in Leslie Valiant's Bulk Synchronous Parallel model for distributed computing. Besides the core functionalities inherited from Pregel, Giraph boasts several improvements, including master computation, sharded aggregators, edge-centric input methods, and support for out-of-core processing. Thanks to its ongoing development, driven by an active global community, Giraph stands out as an exceptional choice for harnessing the capabilities of structured datasets on a large scale. Furthermore, its seamless integration into the Apache Hadoop ecosystem enhances its attractiveness for developers and data scientists, making it a versatile tool for various data processing tasks. This adaptability ensures that Giraph remains at the forefront of graph processing technology.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
www.graphengine.io
Company Facts
Organization Name
Apache Software Foundation
Date Founded
1999
Company Location
United States
Company Website
giraph.apache.org
