Alternatives to TEOCO SmartHub Analytics

Qrvey is the only solution for embedded analytics with a built-in data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application. Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less software in-house. Qrvey is built for SaaS companies that want to offer a better multi-tenant analytics experience. Qrvey's solution offers: - Built-in data lake powered by Elasticsearch - A unified data pipeline to ingest and analyze any type of data - The most embedded components - all JS, no iFrames - Fully personalizable to offer personalized experiences to users With Qrvey, you can build less software and deliver more value.

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

Illuminate dark data and accelerate data-driven transformation with intelligent data operations to enable an edge-to-cloud data fabric. Pentaho products automate onboarding, integrating, governing, and publishing trusted data, with an intelligent composable data platform to automate data management needs.

TIMi allows companies to use their corporate data to generate new ideas and make crucial business decisions more quickly and easily than ever before. The heart of TIMi’s Integrated Platform. TIMi's ultimate real time AUTO-ML engine. 3D VR segmentation, visualization. Unlimited self service business Intelligence. TIMi is a faster solution than any other to perform the 2 most critical analytical tasks: data cleaning, feature engineering, creation KPIs, and predictive modeling. TIMi is an ethical solution. There is no lock-in, just excellence. We guarantee you work in complete serenity, without unexpected costs. TIMi's unique software infrastructure allows for maximum flexibility during the exploration phase, and high reliability during the production phase. TIMi allows your analysts to test even the most crazy ideas.

Manta is a unified data lineage platform that serves as the central hub of all enterprise data flows. Manta can construct lineage from report definitions, custom SQL code, and ETL workflows. Lineage is analyzed based on actual code, and both direct and indirect flows can be visualized on the map. Data paths between files, report fields, database tables, and individual columns are displayed to users in an intuitive user interface, enabling teams to understand data flows in context.

You can query billions upon billions of rows with an in-memory columnar database and MPP architecture. Queries are distributed across all cluster nodes, allowing for linear scaling and advanced analytics. The fastest database for data analytics is made up of MPP, columnar storage, and in-memory. You can analyze data anywhere it is stored, whether you are using SaaS, cloud, hybrid, or on-premises deployments. Automatic query tuning reduces overhead and maintenance. You get more power for a fraction of the normal infrastructure costs with seamless integrations and performance efficiency. This social networking company was able to increase its performance by using smart, in-memory query processing. They processed 10B data sets per year. A single data repository and speed-engine to accelerate critical analytics, improving patient outcomes and the bottom line.

Reports Your Customer Will Love Juicebox takes the pain out of producing data reports and presentations—and you’ll delight customers with beautiful, interactive web experiences. Design once, deliver to 5 or 500 customers. Personalized to each. Modern, interactive charts that tell a story – no coding required. Build with simple spreadsheets, or connect to your database. Imagine if PowerPoint and Tableau had a baby 👶 — and it was beautiful! 😍 Save Time. Build once, use often. Whether you need to present similar data across time, customers, or locations, no need to manually recreate the same report. Design Like a Pro. Our built-in templates, styling themes, and smart layouts will ensure your customers get a premium experience. Inspire Action. Data stories go beyond traditional dashboards and reports. Our connected data stories enable guided flow and interactive exploration.

The Unified Analytics Warehouse. The Unified Analytics Warehouse is the best place to find high-performing analytics and machine learning at large scale. Tech research analysts are seeing new leaders as they strive to deliver game-changing big data analytics. Vertica empowers data-driven companies so they can make the most of their analytics initiatives. It offers advanced time-series, geospatial, and machine learning capabilities, as well as data lake integration, user-definable extensions, cloud-optimized architecture and more. Vertica's Under the Hood webcast series allows you to dive into the features of Vertica - delivered by Vertica engineers, technical experts, and others - and discover what makes it the most scalable and scalable advanced analytical data database on the market. Vertica supports the most data-driven disruptors around the globe in their pursuit for industry and business transformation.

Mindtree Decision Moments is a data analytics platform that applies continuous learning algorithms to large data sets. Companies can gain valuable insights and improve their digital transformation by using this innovative sense-and respond system. Decision Moments is a flexible and customizable data intelligence platform that simplifies technological complexity. It can easily adapt to your organization's existing data analysis investment. It can be modified to adapt to changing market, technology or business needs. Decision Moments, powered by Microsoft Azure services and the Cortana Intelligence Suite in a cloud-native platform, allows you to reap the benefits and cost savings of data analytics platforms. Mindtree's Decision Moments gives your decision makers the platform they need for making sense of large amounts data from multiple sources.

biGENIUS automates all phases of analytic data management solutions (e.g. data warehouses, data lakes and data marts. thereby allowing you to turn your data into a business as quickly and cost-effectively as possible. Your data analytics solutions will save you time, effort and money. Easy integration of new ideas and data into data analytics solutions. The metadata-driven approach allows you to take advantage of new technologies. Advancement of digitalization requires traditional data warehouses (DWH) as well as business intelligence systems to harness an increasing amount of data. Analytical data management is essential to support business decision making today. It must integrate new data sources, support new technologies, and deliver effective solutions faster than ever, ideally with limited resources.

AtScale accelerates and simplifies business intelligence. This results in better business decisions and a faster time to insight. Reduce repetitive data engineering tasks such as maintaining, curating, and delivering data for analysis. To ensure consistent KPI reporting across BI tools, you can define business definitions in one place. You can speed up the time it takes to gain insight from data and also manage cloud compute costs efficiently. No matter where your data is located, you can leverage existing data security policies to perform data analytics. AtScale's Insights models and workbooks allow you to perform Cloud OLAP multidimensional analysis using data sets from multiple providers - without any data prep or engineering. To help you quickly gain insights that you can use to make business decisions, we provide easy-to-use dimensions and measures.

A single storage platform can eliminate data silos. Tiered storage and policy management can help you reduce costs. Azure Active Directory (Azure AD), and role-based access control(RBAC) can authenticate data. You can also help protect your data with advanced threat protection and encryption at rest. Flexible mechanisms provide protection for data access, encryption, network-level control, and more. Highly secure. A single storage platform that supports all the most popular analytics frameworks. Cost optimization through independent scaling of storage, compute, lifecycle management and object-level Tiering. With the Azure global infrastructure, you can meet any capacity requirement and manage data with ease. Large-scale analytics queries run at high performance.

Platform for developing use-case specific solutions powered by cloud native AI powered Decision Automation platform. Incedo LighthouseTM harnesses AI's power in a low-code environment to deliver action recommendations and insights every day by leveraging the superfast Big Data capabilities. Incedo LighthouseTM allows you to increase your revenue potential by optimizing customer experiences, and delivering hyper-personalized recommendation. Our AI- and ML-driven models allow personalization throughout the customer lifecycle. Incedo LighthouseTM can help you reduce costs by speeding the process of problem discovery, insight generation, and execution of targeted actions. Our ML-driven metric monitoring and root cause analysis models power the platform. Incedo LighthouseTM monitors data quality and uses AI/ML to resolve some quality issues. This improves trust in data.

Varada's adaptive and dynamic big data indexing solution allows you to balance cost and performance with zero data-ops. Varada's big data indexing technology is a smart acceleration layer for your data lake. It remains the single source and truth and runs in the customer's cloud environment (VPC). Varada allows data teams to democratize data. It allows them to operationalize the entire data lake and ensures interactive performance without the need for data to be moved, modelled, or manually optimized. Our ability to dynamically and automatically index relevant data at the source structure and granularity is our secret sauce. Varada allows any query to meet constantly changing performance and concurrency requirements of users and analytics API calls. It also keeps costs predictable and under control. The platform automatically determines which queries to speed up and which data to index. Varada adjusts the cluster elastically to meet demand and optimize performance and cost.

Inventale Custom Projects is a UAE-based software development company specializing in unique machine learning and AI-based projects. Combination of software product and project development is our key competitive advantage, that distinguishes us among other companies. We have been helping both market leaders and small businesses and ambitious startups from the USA, the UK, Europe, UAE for over a decade. Inventale has: - an extensive experience in working with major global companies, market leaders, and ambitious startups from the USA, the UK, Europe, and MENA Region; - 20+ clients worldwide, including Majid Al Futtaim, GEMS Education, Central Bank of the UAE, Porsche UAE, Builders, Backlite, Dragoman, B2 Connect, PubMatic, CreativeCo Studio, IQ Data, Convidi, Maxifier, Maxifier, Rambler&Co, Maxima Telecom, CTC Media. - 40+ enthusiastic professionals ready to bring your ideas to life.

CENX Service Assurance lets you see the service topology, inventory and faults from all your disparate systems correlated into a single view. Operators can optimize hybrid communication networks and achieve closed-loop automation with this insight. Operators can launch new business models, provide next-generation services quickly, and support new technologies - like Network Functions Virtualization or Software-Defined Networking or SDN. They can also support 5G and Iot at a cost-effective rate.

SAP HANA is an in-memory database with high performance that accelerates data-driven decision-making and actions. It supports all workloads and provides the most advanced analytics on multi-model data on premise and in cloud.

Reframe your perception of time with data analytics. Instantly access the data of your business and work directly in your dashboard, without having to go back and forth with your IT team. Indexima DataHub is a new space where operational and functional users can instantly access their data. Indexima's unique indexing engine, combined with machine learning, allows businesses to quickly and easily access their data. The robust and scalable solution allows businesses to query their data directly from the source in volumes of up to tens billions of rows within milliseconds. With our Indexima platform, users can implement instant analytics for all their data with just one click. Indexima’s new ROI and TCO Calculator will help you determine the ROI of your data platform in just 30 seconds. Infrastructure costs, project deployment times, and data engineering cost, while boosting analytical performances.

Indicative is used by product managers, marketers, and business analysts to increase customer engagement, retention, and conversion. Indicative connects all your customer data sources and synthesizes them into a complete view. This gives you the actionable insights that you need to grow your customer base, build great products, and increase your sales. Indicative's free plan allows you to access the robust behavioral analytics platform and up to 1 billion user actions per month.

Qubole is an open, secure, and simple Data Lake Platform that enables machine learning, streaming, or ad-hoc analysis. Our platform offers end-to-end services to reduce the time and effort needed to run Data pipelines and Streaming Analytics workloads on any cloud. Qubole is the only platform that offers more flexibility and openness for data workloads, while also lowering cloud data lake costs up to 50%. Qubole provides faster access to trusted, secure and reliable datasets of structured and unstructured data. This is useful for Machine Learning and Analytics. Users can efficiently perform ETL, analytics, or AI/ML workloads in an end-to-end fashion using best-of-breed engines, multiple formats and libraries, as well as languages that are adapted to data volume and variety, SLAs, and organizational policies.

Cazena's Instant Data Lake reduces the time it takes to analyze and implement AI/ML. It can be done in minutes instead of months. Cazena's patented automated data platform powers the first SaaS experience with data lakes. Zero operations are required. Enterprises require a data lake that can easily store all their data and tools for machine learning, analytics, and AI. A data lake must provide secure data ingestion, flexible storage, access and identity management, optimization, tool integration, and other features to be effective. Cloud data lakes can be difficult to manage by yourself. This is why expensive teams are required. Cazena's Instant Cloud Data Lakes can be used immediately for data loading and analysis. Everything is automated and supported by Cazena's SaaS platform with continuous Ops, self-service access via Cazena SaaS Console. Cazena's Instant Data Lakes can be used for data storage, analysis, and secure data ingest.

BIRD Analytics is a lightning fast, high-performance, full-stack data management and analytics platform that generates insights using agile BI/ ML models. It covers all aspects of data ingestion, transformation, storage, modeling, analysis, and store data on a petabyte scale. BIRD offers self-service capabilities via Google type search and powerful ChatBot integration

Log analytics shouldn't break the bank. The cost of operation is high because most logging solutions use either Elasticsearch database or Lucene index. ChaosSearch is a new approach. ChaosSearch has redesigned indexing which allows us to pass significant cost savings on to our customers. This price comparison calculator will allow you to see the difference. ChaosSearch is a fully managed SaaS platform which allows you to concentrate on search and analytics in AWS S3 and not spend time tuning databases. Let us manage your existing AWS S3 infrastructure. Watch this video to see how ChaosSearch addresses today's data and analytic challenges.

Smart DIH is a data management platform that quickly serves applications with accurate, fresh and complete data, delivering high performance, ultra-low latency, and an always-on digital experience. Smart DIH decouples APIs from SoRs, replicating critical data, and making it available using event-driven architecture. Smart DIH enables drastically shorter development cycles of new digital services, and rapidly scales to serve millions of concurrent users – no matter which IT infrastructure or cloud topologies it relies on. XAP Skyline is a distributed in-memory development platform that delivers transactional consistency, combined with extreme event-based processing and microsecond latency. The platform fuels core business solutions that rely on instantaneous data, including online trading, real-time risk management and data processing for AI and large language models.

Unutilized data is the biggest obstacle to scaling AI-powered decision making. IBM Cloud Pak®, for Data is a unified platform that provides a data fabric to connect, access and move siloed data across multiple clouds or on premises. Automate policy enforcement and discovery to simplify access to data. A modern cloud data warehouse integrates to accelerate insights. All data can be protected with privacy and usage policy enforcement. To gain faster insights, use a modern, high-performance cloud storage data warehouse. Data scientists, analysts, and developers can use a single platform to create, deploy, and manage trusted AI models in any cloud.

Tamr's next-generation platform for data mastering combines machine learning and human feedback to eliminate data silos and continually clean up and deliver accurate data throughout your business. Tamr works with top organizations worldwide to solve their most difficult data problems. To solve problems such as duplicate records and errors, Tamr works with leading organizations around the world to provide a complete view of all your data - from customers, suppliers, and product. Next-generation data mastering combines machine learning and human feedback to provide clean data that can be used to make business decisions. Clean data can be fed to operational systems and analytics tools with up to 80% less effort than traditional methods. Tamr assists financial firms to stay data-driven and improve their business results, from Customer 360 to reference data administration. Tamr assists the public sector in meeting mission requirements faster by reducing manual workflows for data entity resolution.

kdb Insights, a cloud native, high-performance analytics solution designed for real-time data analysis of streaming and historical data, is a platform that can be used to analyze both streams and historical information. It allows for intelligent decision making regardless of data volume and velocity. It offers unmatched performance and price, and delivers analytics up to 100-fold faster than other solutions. The platform allows interactive data visualization via real-time dashboards to facilitate instantaneous insight and decision-making. It also integrates machine-learning models to predict and cluster structured data, detect patterns, score it, and enhance AI capabilities for time-series datasets. kdb Insights is scalable enough to handle large volumes of real-time data and historical data. This has been proven with volumes up to 110 Terabytes per Day. Its simple data intake and quick setup accelerate time-to value. Native support for q SQL and Python is also available, as well as compatibility with other programming languages via RESTful interfaces.

Anodot uses AI to deliver autonomous analytics at enterprise scale across all data types and in real-time. We provide business analysts with the ability to control their business, without the limitations of traditional Business Intelligence. Our self-service AI platform runs continuously to eliminate blind spots and alert incidents, and investigate root cause. Our platform uses machine learning algorithms that are patent-pending to identify issues and correlate them across multiple parameters. This eliminates business insight latency and supports quick, smart business decision-making. Anodot serves over 100 customers in the digital transformation industry, including eCommerce, FinTech and AdTech, Telco and Gaming. This includes Microsoft, Lyft and Waze. Anodot was founded in 2014 in Silicon Valley and Israel. There are also sales offices around the world.

Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.

Data is the heart of innovation and insight. Civis Analytics' intuitive technology combined with deep expertise allows for audience intelligence, engagement and growth that propels leading-edge companies of all sizes. We can also transform your company. Data is priceless. Data is priceless, but too often it is scattered, duplicated, fragmented, and locked in silos. It is crucial to unify, cleanse, and centralize this data in order to unlock its true potential and derive insights to fuel innovation, increase customer engagement, and gain competitive advantage. Civis's data solutions revolutionize the way companies like yours access, aggregate, and use their data. This allows you to maximize its potential and send the right message at the right time to the right people every time. Get 360-degree views of each customer and eliminate duplicate profiles.

Apache Spark™, a unified analytics engine that can handle large-scale data processing, is available. Apache Spark delivers high performance for streaming and batch data. It uses a state of the art DAG scheduler, query optimizer, as well as a physical execution engine. Spark has over 80 high-level operators, making it easy to create parallel apps. You can also use it interactively via the Scala, Python and R SQL shells. Spark powers a number of libraries, including SQL and DataFrames and MLlib for machine-learning, GraphX and Spark Streaming. These libraries can be combined seamlessly in one application. Spark can run on Hadoop, Apache Mesos and Kubernetes. It can also be used standalone or in the cloud. It can access a variety of data sources. Spark can be run in standalone cluster mode on EC2, Hadoop YARN and Mesos. Access data in HDFS and Alluxio.

It unifies information across silos and scattered data for visibility across multiple sources in a single environment; whether in the cloud, spread across siloed databases, on instruments, in Big Data stores, or within various spreadsheets/documents, Enterprise Enabler can integrate all your data so you can make informed business decisions in real-time. By creating logical views from data starting at the source. This allows you to reuse, configure, test and deploy all your data in one integrated environment. You can analyze your business data as it happens to maximize the use and minimize costs, improve/refine business processes, and optimize the use of your assets. Our implementation time to market is between 50-90% shorter. We connect your sources so that you can make business decisions based upon real-time data.

This platform is the ultimate tool for expanding your business with data-driven decisions. Every step of your supply chain journey can be improved. Our no-code platform improves the quality and quantity of master data to provide you with a range of optimization solutions, including inventory planning and distribution network. Trusted data-driven analytics can help you prevent critical issues from occurring and make crucial real-time adjustments. You can build trust in your data and manage it with confidence. Our platform is user-friendly and provides financial institutions with data-driven insights that are transparent and easy to use to improve their financial processes. We provide eXplainableAI to business professionals so they can create advanced financial models and improve their decision-making. Rulex Academy will help you learn how to analyze your data, create workflows, understand algorithms, and optimize complex processes using our interactive online training courses.

Access granular data to make it easy to slice and dice billions of rows. Real-time reporting is possible in just seconds. Sigmoid's Sigview real-time data analytics tool is a plug-and-play solution that allows for exploratory data analysis. Sigview, which is built on Apache Spark, can drill down into large data sets in a matter of seconds. Around 30k people use Sigview to analyze billions in ad impressions. Sigview allows for real-time access both to programmatic and non-programmatic data. It creates real-time reports and analyses large data sets to provide real-time insight. Sigview is the best platform to help you optimize your ad campaigns, discover new inventory, or generate revenue opportunities in changing times. Connects to multiple data sources such as DFP, Pixel Servers and Audience, allowing you to ingest data from any format and location, with a data latency of less that 15 minutes.

Run popular open-source frameworks--including Apache Hadoop, Spark, Hive, Kafka, and more--using Azure HDInsight, a customizable, enterprise-grade service for open-source analytics. You can process huge amounts of data quickly and enjoy all the benefits of the large open-source project community with the global scale Azure. You can easily migrate your big data workloads to the cloud. Open-source projects, clusters and other software are easy to set up and manage quickly. Big data clusters can reduce costs by using autoscaling and pricing levels that allow you only to use what you use. Data protection is assured by enterprise-grade security and industry-leading compliance, with over 30 certifications. Optimized components for open source technologies like Hadoop and Spark keep your up-to-date.

IBM Sterling Fulfillment Optimizer for Watson is a cognitive engine that enhances existing order-management systems. It acts as a "big data brain" for existing order management and inventory visibility systems. This is available to retailers with eCommerce fulfillment capability. Fulfillment Optimizer helps retailers understand and respond to market changes as they happen. This allows them to balance protecting margins, maximizing store capacity, and meeting delivery expectations. These sourcing decisions can significantly increase profits, especially during peak times. Know the impact of omnichannel decisions across eCommerce and merchandising. To protect margins, maximize store capacity, and meet customer delivery requirements, intelligently balance omnichannel fulfillment costs with service. Execute optimized omnichannel fulfillment plans with the lowest cost-to serve.

Elastic is a search company. Elasticsearch, Kibana Beats, Logstash, and Elasticsearch are the founders of the ElasticStack. These SaaS offerings allow data to be used in real-time and at scale for analytics, security, search, logging, security, and search. Elastic has over 100,000 members in 45 countries. Elastic's products have been downloaded more than 400 million times since their initial release. Today, thousands of organizations including Cisco, eBay and Dell, Goldman Sachs and Groupon, HP and Microsoft, as well as Netflix, Uber, Verizon and Yelp use Elastic Stack and Elastic Cloud to power mission critical systems that generate new revenue opportunities and huge cost savings. Elastic is headquartered in Amsterdam, The Netherlands and Mountain View, California. It has more than 1,000 employees in over 35 countries.

Transform the way you analyze and monitor processes to uncover opportunities for continuous process improvement. We help businesses find opportunities for continuous process improvement and greater operational efficiency. We believe every organization can achieve operational excellence and digital transformation. We are determined to make the world a place where every process can be easily and automatically analysed and improved. We encourage everyone to look into the potential benefits of Process Mining technology for their business. This is possible even if you are not a process or data expert. Our solution was created for anyone who is interested in understanding their processes and empowering them to make data-driven decision from the beginning.

No matter what your EHR, you can meet the challenges of value-based care. With aggregated multi-source data, and an intuitive visual display, you can get a clear view of your patient population. Data-based insights can be used to improve care management, prevent illness, lower costs, and manage chronic conditions. Facilitate care coordination using tools that encourage proactive approaches, such as a pre-visit dashboard and risk stratification. Also, automated tracking of admissions, discharges, and transfer events can be used. Care management is a key component of the operation. Expand physician reach. Encourage patient interaction and follow-up between appointments. Use the Johns Hopkins ACG system to identify patients at highest risk for high-cost utilization. Assign resources to the areas that need it most. Performance on quality measures can be improved. Participate in value-based payments programs and maximize reimbursement.

Data-driven decision making has led to a surge in business data and an increase in demand for its analysis. IT departments are now looking to move away from expensive Enterprise Data Warehouses (EDW), and towards more cost-effective Big Data platforms such as Hadoop or AWS. The Total Cost of Ownership (TCO), for these new platforms, is approximately 10 times lower. They are not suitable for interactive BI applications as they lack the same performance and user concurrency as legacy EDWs. Jethro was created precisely for this purpose. Customers use Jethro to perform interactive BI with Big Data. Jethro is a transparent middle-tier that does not require any changes to existing apps and data. It is self-driving and requires no maintenance. Jethro is compatible to BI tools such as Microstrategy, Qlik and Tableau and is data source agnostic. Jethro meets the needs of business users by allowing thousands of concurrent users to run complex queries across billions of records.

Hypertable provides scalable database capacity at maximum speed to speed up big data applications and reduce your hardware footprint. Hypertable offers superior performance and efficiency over other competitors, which can translate into significant cost savings. It is a proven, scalable design that powers hundreds Google services. Open source brings all the benefits of open-source with a vibrant community. C++ implementation for optimal performance. Support for your business-critical big-data application is available 24/7/365 The employer of all core Hypertable developers provides unrivalled access to the Hypertable brain power. Hypertable was created to solve the scalability issue. This problem is not well handled by traditional RDBMSs. Hypertable is a Google-developed design that meets their scalability requirements. It solves the scale problem better then any other NoSQL solutions.

Amazon EC2 Spot instances allow you to take advantage of unused EC2 capacity within the AWS cloud. Spot Instances can be purchased at up to 90% off the On-Demand price. Spot Instances can be used for many stateless, fault-tolerant or flexible applications, such as big data and containerized workloads. Spot Instances can be used to launch and maintain applications that are running on AWS services like CloudFormation (EMR, ECS), CloudFormation, Data Pipeline, Data Pipeline, CloudFormation and AWS Batch. To further optimize workload cost and performance, Spot Instances can be combined with On-Demand, Savings Plans Instances, RIs, and RIs. Spot Instances are able to offer the scale and cost savings necessary to run hyper-scale workloads due to AWS's operating scale.

Salesforce Einstein Analytics is a data visualization and self-service Business Intelligence software that unlocks critical sales and service insights. Einstein Analytics, formerly Salesforce Analytics Cloud, is an end-to–end solution that uses Artificial Intelligence to help business users analyze billions data combinations across sales and marketing. This allows businesses to make faster decisions and makes them more profitable.

AI insights that save money and optimize spending can be gained by combining performance data, automating reporting and integrating unified data. Create an active analysis system. Create new insights using a connected library with more than 170 connectors to intake data from all major advertising, commerce and CRM vendors. Make your IT team more productive with constant connector updates and turnkey installations. You can enter your credentials, and start unifying cross-channel marketing in minutes. Dashboards and reporting tell the story of the big picture. What about actionable insights, though? You can choose a KPI that you want to improve, and create a pipeline of AI insights that is always available. You can answer questions such as how to reduce spending by lowering CPM, or dig deeper to find out what creative had the biggest outlier effects during a recent campaign. Einstein analyzes all your data and ranks insights on what drives the most engagement.

Visokio creates Omniscope Evo, a complete and extensible BI tool for data processing, analysis, and reporting. Smart experience on any device. You can start with any data, any format, load, edit, combine, transform it while visually exploring it. You can extract insights through ML algorithms and automate your data workflows. Omniscope is a powerful BI tool that can be used on any device. It also has a responsive UX and is mobile-friendly. You can also augment data workflows using Python / R scripts or enhance reports with any JS visualisation. Omniscope is the complete solution for data managers, scientists, analysts, and data managers. It can be used to visualize data, analyze data, and visualise it.

Secure and manage the data lifecycle, from Edge to AI in any cloud or data centre. Operates on all major public clouds as well as the private cloud with a public experience everywhere. Integrates data management and analytics experiences across the entire data lifecycle. All environments are covered by security, compliance, migration, metadata management. Open source, extensible, and open to multiple data stores. Self-service analytics that is faster, safer, and easier to use. Self-service access to multi-function, integrated analytics on centrally managed business data. This allows for consistent experiences anywhere, whether it is in the cloud or hybrid. You can enjoy consistent data security, governance and lineage as well as deploying the cloud analytics services that business users need. This eliminates the need for shadow IT solutions.

Centrifuge Analytics™, a big data discovery tool, allows you to connect, visualize, and collaborate without the need for complex data integration or a data science degree. It combines advanced link-analysis, interactive visualizations, and discovery features to simplify data pattern recognition and connection recognition. - A fully integrated solution that empowers analysts without any IT support. - Advanced link-analysis features like pattern identification, intelligent bundling, and other unique interactive visual features - 100% Browser footprint means there is no client-side data storage which simplifies security and client administration Patent-pending server side rendering engine that allows highly scalable network graphs Agile data integration - No need for a fixed ontology to store, stage or apply. Model-based analytics – Setup once and reuse – build on the experience of more experienced analysts

Cloud-native data integration with IBM Cloud Pak data enables you to accelerate AI innovation AI-powered data integration from anywhere. Your AI and analytics can only be as good as the data they are powered by. IBM®, DataStage®, for IBM Cloud Pak®, for Data provides high-quality data through a container-based architecture. It combines industry-leading data integration, DataOps, governance, and analytics on one data and AI platform. Automation speeds up administrative tasks, helping to reduce TCO. AI-based design accelerators, out-of-the box integration with DataOps or data science services accelerate AI innovation. Multicloud integration and parallelism allow you to deliver trusted data across hybrid and multicloud environments. The IBM Cloud Pak for Data platform allows you to manage the data and analytics lifecycle. Data science, event messaging, and data warehousing are some of the services offered. Automated load balancing and parallel engine.

You can easily develop and execute massively parallel data processing and transformation programs in U-SQL and R. You don't need to maintain any infrastructure and can process data on-demand, scale instantly, or pay per job. Azure Data Lake Analytics makes it easy to process large data jobs in seconds. There are no servers, virtual machines or clusters to manage or tune. You can instantly scale your processing power in Azure Data Lake Analytics Units, (AU), to one to thousands per job. Only pay for the processing you use per job. Optimized data virtualization of relational sources, such as Azure SQL Database or Azure Synapse Analytics, allows you to access all your data. Your queries are automatically optimized by moving processing closer to the source data, which maximizes performance while minimising latency.