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Ratings and Reviews 0 Ratings
Alternatives to Consider
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Google Cloud BigQueryBigQuery serves as a serverless, multicloud data warehouse that simplifies the handling of diverse data types, allowing businesses to quickly extract significant insights. As an integral part of Google’s data cloud, it facilitates seamless data integration, cost-effective and secure scaling of analytics capabilities, and features built-in business intelligence for disseminating comprehensive data insights. With an easy-to-use SQL interface, it also supports the training and deployment of machine learning models, promoting data-driven decision-making throughout organizations. Its strong performance capabilities ensure that enterprises can manage escalating data volumes with ease, adapting to the demands of expanding businesses. Furthermore, Gemini within BigQuery introduces AI-driven tools that bolster collaboration and enhance productivity, offering features like code recommendations, visual data preparation, and smart suggestions designed to boost efficiency and reduce expenses. The platform provides a unified environment that includes SQL, a notebook, and a natural language-based canvas interface, making it accessible to data professionals across various skill sets. This integrated workspace not only streamlines the entire analytics process but also empowers teams to accelerate their workflows and improve overall effectiveness. Consequently, organizations can leverage these advanced tools to stay competitive in an ever-evolving data landscape.
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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.
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Google Cloud PlatformGoogle Cloud serves as an online platform where users can develop anything from basic websites to intricate business applications, catering to organizations of all sizes. New users are welcomed with a generous offer of $300 in credits, enabling them to experiment, deploy, and manage their workloads effectively, while also gaining access to over 25 products at no cost. Leveraging Google's foundational data analytics and machine learning capabilities, this service is accessible to all types of enterprises and emphasizes security and comprehensive features. By harnessing big data, businesses can enhance their products and accelerate their decision-making processes. The platform supports a seamless transition from initial prototypes to fully operational products, even scaling to accommodate global demands without concerns about reliability, capacity, or performance issues. With virtual machines that boast a strong performance-to-cost ratio and a fully-managed application development environment, users can also take advantage of high-performance, scalable, and resilient storage and database solutions. Furthermore, Google's private fiber network provides cutting-edge software-defined networking options, along with fully managed data warehousing, data exploration tools, and support for Hadoop/Spark as well as messaging services, making it an all-encompassing solution for modern digital needs.
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SatoriSatori is an innovative Data Security Platform (DSP) designed to facilitate self-service data access and analytics for businesses that rely heavily on data. Users of Satori benefit from a dedicated personal data portal, where they can effortlessly view and access all available datasets, resulting in a significant reduction in the time it takes for data consumers to obtain data from weeks to mere seconds. The platform smartly implements the necessary security and access policies, which helps to minimize the need for manual data engineering tasks. Through a single, centralized console, Satori effectively manages various aspects such as access control, permissions, security measures, and compliance regulations. Additionally, it continuously monitors and classifies sensitive information across all types of data storage—including databases, data lakes, and data warehouses—while dynamically tracking how data is utilized and enforcing applicable security policies. As a result, Satori empowers organizations to scale their data usage throughout the enterprise, all while ensuring adherence to stringent data security and compliance standards, fostering a culture of data-driven decision-making.
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DataBuckEnsuring the integrity of Big Data Quality is crucial for maintaining data that is secure, precise, and comprehensive. As data transitions across various IT infrastructures or is housed within Data Lakes, it faces significant challenges in reliability. The primary Big Data issues include: (i) Unidentified inaccuracies in the incoming data, (ii) the desynchronization of multiple data sources over time, (iii) unanticipated structural changes to data in downstream operations, and (iv) the complications arising from diverse IT platforms like Hadoop, Data Warehouses, and Cloud systems. When data shifts between these systems, such as moving from a Data Warehouse to a Hadoop ecosystem, NoSQL database, or Cloud services, it can encounter unforeseen problems. Additionally, data may fluctuate unexpectedly due to ineffective processes, haphazard data governance, poor storage solutions, and a lack of oversight regarding certain data sources, particularly those from external vendors. To address these challenges, DataBuck serves as an autonomous, self-learning validation and data matching tool specifically designed for Big Data Quality. By utilizing advanced algorithms, DataBuck enhances the verification process, ensuring a higher level of data trustworthiness and reliability throughout its lifecycle.
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DashboardFoxDashboardFox is a powerful tool for business users, providing features like dashboards, interactive visualizations, codeless reporting, data security, mobile access, and scheduled reports. Unlike many other software options, DashboardFox operates on a one-time payment model, allowing users to purchase the software outright without the burden of ongoing subscription fees. It can be conveniently installed on your own server, ensuring that your data remains secure behind your firewall, while also offering managed hosting for those interested in Cloud BI—maintaining your ownership of data and licenses. With DashboardFox, users can easily interact with live data visualizations and create new reports without needing any technical expertise, thanks to its intuitive codeless builder. This makes it a compelling alternative to popular platforms like Tableau, Sisense, Looker, Domo, Qlik, and Crystal Reports, providing similar functionalities with added advantages. Whether you are a small business or a large enterprise, DashboardFox adapts to your needs, making data handling more efficient and accessible for everyone involved.
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People Data LabsPeople Data Labs specializes in delivering B2B data solutions tailored for developers, engineers, and data scientists. The company offers an extensive dataset that includes resume, contact, demographic, and social details for over 1.5 billion distinct individuals. This data can be utilized for product development, profile enhancement, and facilitating AI-driven predictive modeling. Developers access this information through APIs, ensuring seamless integration into their projects. PDL partners exclusively with legitimate businesses that strive to positively impact the community through their products. The data provided by PDL is essential for organizations establishing data departments, particularly those prioritizing data acquisition. Such companies depend on high-quality, rich, and compliant individual data to safeguard their operations and maintain integrity in their processes. In an era where data-driven decision-making is key, PDL's offerings empower businesses to harness valuable insights effectively.
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SnowflakeSnowflake is a comprehensive, cloud-based data platform designed to simplify data management, storage, and analytics for businesses of all sizes. With a unique architecture that separates storage and compute resources, Snowflake offers users the ability to scale both independently based on workload demands. The platform supports real-time analytics, data sharing, and integration with a wide range of third-party tools, allowing businesses to gain actionable insights from their data quickly. Snowflake's advanced security features, including automatic encryption and multi-cloud capabilities, ensure that data is both protected and easily accessible. Snowflake is ideal for companies seeking to modernize their data architecture, enabling seamless collaboration across departments and improving decision-making processes.
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RaimaDBRaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
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QEvalQEval is an innovative cloud platform that assists call centers in efficiently managing their quality assurance and compliance requirements. It boasts essential features such as online coaching integration for agents, role-specific access controls, secure recordings, and comprehensive trend analysis. Serving as a multifunctional and intelligent tool for quality monitoring and performance management in contact centers, QEval employs cutting-edge artificial intelligence alongside real-time speech analytics to deliver valuable insights and analytics. This platform enhances the coaching process by providing timely training updates and improving visibility into coaching methodologies, advancing beyond traditional checkbox evaluations. By utilizing AI-powered speech analytics, QEval reveals critical performance insights, including emotional indicators, thereby elevating call center quality monitoring and enabling more effective coaching for agents. Furthermore, this approach not only optimizes performance but also enriches the overall training experience within the call center environment.
What is Rolta OneView?
Rolta leads the charge in digital transformation by offering cutting-edge IP-based solutions. The acclaimed Rolta OneView™ platform embodies over three decades of expertise across engineering, geospatial, IT, and analytics sectors. Rolta provides a holistic Business Intelligence and Big Data analytics solution aimed at enabling organizations to attain both operational and business excellence. Companies operating in asset-heavy industries benefit significantly from the solution's tailored actionable insights, which come from a collection of more than 3,000 pre-built analytics designed for various sectors, as well as established knowledge models and architecture that ensure integrated performance across functions. With the Rolta OneView™ Enterprise Suite, organizations can harness unique business advantages through these targeted insights, effectively bridging operational and business intelligence to create a strategic impact. Utilizing this extensive suite empowers companies to make informed decisions, fostering transformative growth and positioning them for lasting success in an increasingly competitive environment. Ultimately, Rolta's commitment to innovation stands as a pillar for organizations seeking to navigate the complexities of today's digital landscape.
What is Phocas Software?
Phocas delivers a comprehensive business intelligence (BI) and financial planning and analysis (FP&A) platform tailored for mid-market companies engaged in manufacturing, distribution, and sales. With a focus on empowering users to feel confident about their data, Phocas facilitates improved collaboration, understanding, and strategic planning among businesses.
By integrating with ERP systems such as Epicor, Sage, and Oracle NetSuite, Phocas enhances their functionalities by merging various data sources—including ERP, CRM, and spreadsheets—into a singular, user-friendly platform that offers diverse tools for analysis, reporting, and planning. Its standout features encompass user-friendly dashboards, customizable reporting, dynamic financial statements, adaptable budgeting, precise forecasting, and automated management of rebates. With real-time data access and robust security measures, Phocas enables teams across different functions to delve into their data and make well-informed decisions with confidence.
Designed for ease of use by all business users, Phocas streamlines data-related tasks by automating the consolidation of financial and operational information, which not only saves time but also minimizes the potential for errors. Whether it’s for generating month-end reports, identifying trends, overseeing cash flow, or enhancing rebate strategies, Phocas equips businesses with the insights necessary to maintain a competitive edge in the market. Additionally, this platform fosters an environment where data-driven decision-making becomes central to daily operations, ultimately transforming how organizations approach their strategic goals.
Integrations Supported
SAP Cloud Platform
3 Clicks Cloud
Enapps ERP
Epicor Eagle
HubSpot Marketing Hub
Infor CloudSuite Industrial Enterprise
Infor VISUAL
Intact Xline
Jim2 Business Engine
MYOB
Integrations Supported
SAP Cloud Platform
3 Clicks Cloud
Enapps ERP
Epicor Eagle
HubSpot Marketing Hub
Infor CloudSuite Industrial Enterprise
Infor VISUAL
Intact Xline
Jim2 Business Engine
MYOB
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
Rolta
Company Location
India
Company Website
www.rolta.com/products/rolta-oneview/
Company Facts
Organization Name
Phocas Software
Date Founded
1999
Company Location
United Kingdom
Company Website
www.phocassoftware.com
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Business Performance Management
Ad Hoc Reports
Ad hoc Analysis
Budgeting & Forecasting
Consolidation / Roll-Up
Dashboard
Key Performance Indicators
Predictive Analytics
Qualitative Analysis
Quantitative Analysis
Scorecarding
Strategic Planning
Dashboard
Annotations
Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Qualitative Data Analysis
Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis
Reporting
Customizable Dashboard
Data Source Connectors
Drag & Drop
Drill Down
Email Reports
Financial Reports
Forecasting
Marketing Reports
OLAP
Report Export
Sales Reports
Scheduled / Automated Reports