Alternatives to SigView

StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. StarTree Cloud includes StarTree Data Manager, which allows you to ingest data from both real-time sources such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda, as well as batch data sources such as data warehouses like Snowflake, Delta Lake or Google BigQuery, or object stores like Amazon S3, Apache Flink, Apache Hadoop, or Apache Spark. StarTree ThirdEye is an add-on anomaly detection system running on top of StarTree Cloud that observes your business-critical metrics, alerting you and allowing you to perform root-cause analysis — all in real-time.

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.

Doolytic is a leader in big data discovery, the convergence data discovery, advanced analytics and big data. Doolytic is bringing together BI experts to revolutionize self-service exploration of large data. This will unleash the data scientist in everyone. doolytic is an enterprise solution for native big data discovery. doolytic is built on open-source, scalable technologies that are best-of-breed. Lightening performance on billions and petabytes. Structured, unstructured, and real-time data from all sources. Advanced query capabilities for experts, Integration with R to enable advanced and predictive applications. With Elastic's flexibility, you can search, analyze, and visualize data in real-time from any format or source. You can harness the power of Hadoop data lakes without any latency or concurrency issues. doolytic solves common BI issues and enables big data discovery without clumsy or inefficient workarounds.

Data integration for hybrid clouds Modern, reliable data integration across both your private cloud and public cloud. All this in real-time, with change data capture and streams. Striim was developed by the executive and technical team at GoldenGate Software. They have decades of experience in mission critical enterprise workloads. Striim can be deployed in your environment as a distributed platform or in the cloud. Your team can easily adjust the scaleability of Striim. Striim is fully secured with HIPAA compliance and GDPR compliance. Built from the ground up to support modern enterprise workloads, whether they are hosted in the cloud or on-premise. Drag and drop to create data flows among your sources and targets. Real-time SQL queries allow you to process, enrich, and analyze streaming data.

AI-powered self-service platform for advanced analytics. Without programming, connect data sources and create visualizations. Cloud native advanced analytics platform that delivers high-quality data supply, intelligent real-time analysis across enterprises without the need for programming. Connect data sources in different formats. Allows for the identification of root causes. Reduce cycle time from source to destination Analytics without programming knowledge Real-time data refresh on the move Connect any data source, stream data in real-time or at a defined frequency to the data lake, and visualize them in interactive search engine-based dashboards. With the power of the search engine and advanced visualization, you can perform predictive, prescriptive and descriptive analytics from one platform. No need to use traditional technology to view data in different visualization formats. Bizintel360 visualization allows you to slice, dice and combine data with different mathematical computations.

Amazon EMR is the market-leading cloud big data platform. It processes large amounts of data with open source tools like Apache Spark, Apache Hive and Apache HBase. EMR allows you to run petabyte-scale analysis at a fraction of the cost of traditional on premises solutions. It is also 3x faster than standard Apache Spark. You can spin up and down clusters for short-running jobs and only pay per second for the instances. You can also create highly available clusters that scale automatically to meet the demand for long-running workloads. You can also run EMR clusters from AWS Outposts if you have on-premises open source tools like Apache Spark or Apache Hive.

Apache Druid, an open-source distributed data store, is Apache Druid. Druid's core design blends ideas from data warehouses and timeseries databases to create a high-performance real-time analytics database that can be used for a wide range of purposes. Druid combines key characteristics from each of these systems into its ingestion, storage format, querying, and core architecture. Druid compresses and stores each column separately, so it only needs to read the ones that are needed for a specific query. This allows for fast scans, ranking, groupBys, and groupBys. Druid creates indexes that are inverted for string values to allow for fast search and filter. Connectors out-of-the box for Apache Kafka and HDFS, AWS S3, stream processors, and many more. Druid intelligently divides data based upon time. Time-based queries are much faster than traditional databases. Druid automatically balances servers as you add or remove servers. Fault-tolerant architecture allows for server failures to be avoided.

GeoSpock DB - The space-time analytics database - allows data fusion in the connected world. GeoSpockDB is a unique cloud-native database that can be used to query for real-world applications. It can combine multiple sources of Internet of Things data to unlock their full potential, while simultaneously reducing complexity, cost, and complexity. GeoSpock DB enables data fusion and efficient storage. It also allows you to run ANSI SQL query and connect to analytics tools using JDBC/ODBC connectors. Users can perform analysis and share insights with familiar toolsets. This includes support for common BI tools such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™, as well as Data Science and Machine Learning environments (including Python Notebooks or Apache Spark). The database can be integrated with internal applications as well as web services, including compatibility with open-source visualisation libraries like Cesium.js and Kepler.

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

Hydrolix is a streaming lake of data that combines decoupled archiving, indexed searching, and stream processing for real-time query performance on terabyte scale at a dramatically lower cost. CFOs love that data retention costs are 4x lower. Product teams appreciate having 4x more data at their disposal. Scale up resources when needed and down when not. Control costs by fine-tuning resource consumption and performance based on workload. Imagine what you could build if you didn't have budget constraints. Log data from Kafka, Kinesis and HTTP can be ingested, enhanced and transformed. No matter how large your data, you will only get the data that you need. Reduce latency, costs, and eliminate timeouts and brute-force queries. Storage is decoupled with ingest and queries, allowing them to scale independently to meet performance and cost targets. Hydrolix's HDX (high-density compress) reduces 1TB to 55GB.

A hybrid SQL-onHadoop engine that delivers advanced, security-rich data queries across enterprise big data sources including Hadoop object storage and data warehouses. IBM Db2 Big SQL, an enterprise-grade, hybrid ANSI compliant SQL-on-Hadoop engine that delivers massively parallel processing and advanced data query, is available. Db2 Big SQL allows you to connect to multiple sources, such as Hadoop HDFS and WebHDFS. RDMS, NoSQL database, object stores, and RDMS. You can benefit from low latency, high speed, data security, SQL compatibility and federation capabilities to perform complex and ad-hoc queries. Db2 Big SQL now comes in two versions. It can be integrated with Cloudera Data Platform or accessed as a cloud native service on the IBM Cloud Pak®. for Data platform. Access, analyze, and perform queries on real-time and batch data from multiple sources, including Hadoop, object stores, and data warehouses.

The PI System unlocks operational insight and new possibilities. The PI System enables digital transformation by providing trusted, high-quality operations information. Collect, enhance, or deliver data at any time, anywhere. Give operators and engineers the tools they need. Accelerate the work done by data scientists and analysts. Support new business opportunities. Real-time data collection from hundreds of assets, including legacy, remote, mobile, and IIoT. The PI System connects to your data regardless of where it is stored. You can store decades of data with subsecond resolution. You have immediate access to high-fidelity historical and real-time data. This allows you to keep your critical operations running smoothly and to gain business insights. Add intuitive metadata and labels to make data more meaningful. Create data hierarchies that are representative of your reporting and operating environments. Context is more than just a data point. It allows you to see the whole picture.

Kyligence Zen can collect, organize, and analyze your metrics, so you can spend more time taking action. Kyligence Zen, the low-code metrics platform, is the best way to define, collect and analyze your business metrics. It allows users to connect their data sources quickly, define their business metrics in minutes, uncover hidden insights, and share these across their organization. Kyligence Enterprise offers a variety of solutions based on public cloud, on-premises, and private cloud. This allows enterprises of all sizes to simplify multidimensional analyses based on massive data sets according to their needs. Kyligence Enterprise based on Apache Kylin provides sub-second standard SQL queries based upon PB-scale datasets. This simplifies multidimensional data analysis for enterprises, allowing them to quickly discover the business value of massive amounts data and make better business decisions.

Riak is a distributed systems expert and works with Application teams to overcome distributed system challenges. Riak's Riak®, a distributed NoSQL databank, delivers: Unmatched resilience beyond the typical "high availability" offerings - Innovative technology to ensure data accuracy, and never lose a word. - Massive scale for commodity hardware - A common code foundation that supports true multi-model support Riak®, offers all of this while still focusing on ease-of-use. Choose Riak®, KV flexible key value data model for web scale profile management, session management, real time big data, catalog content management, customer 360, digital message and other use cases. Choose Riak®, TS for IoT, time series and other use cases.

Keen is a fully managed event streaming platform. Our real-time data pipeline, built on Apache Kafka, makes it easy to collect large amounts of event data. Keen's powerful REST APIs and SDKs allow you to collect event data from any device connected to the internet. Our platform makes it possible to securely store your data, reducing operational and delivery risks with Keen. Apache Cassandra's storage infrastructure ensures data is completely secure by transferring it via HTTPS and TLS. The data is then stored with multilayer AES encryption. Access Keys allow you to present data in an arbitrary way without having to re-architect or re-architect the data model. Role-based Access Control allows for completely customizable permission levels, down to specific queries or data points.

Dataproc makes it easy to process open source data and analytic processing in the cloud. Faster build custom OSS clusters for custom machines Dataproc can speed up your data and analytics processing, whether you need more memory for Presto or GPUs to run Apache Spark machine learning. It spins up a cluster in less than 90 seconds. Cluster management is easy and affordable Dataproc offers autoscaling, idle cluster deletion and per-second pricing. This allows you to focus your time and resources on other areas. Security built in by default Encryption by default ensures that no data is left unprotected. Component Gateway and JobsAPI allow you to define permissions for Cloud IAM clusters without the need to set up gateway or networking nodes.

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.

Get insights from a vast array of human-created data. Data from blogs, social networks, news, and many other sources. Integrate news, social and blog data in one place. Historical and real-time data from billions upon billions of data points. For accurate analysis, normalized and enriched data can be done in real-time. DataSift allows you to deliver Human Data into business intelligence tools and business processes in real time. Our API allows you to create your own apps and also lets you innovate. Human Data is the fastest-growing type of data. It covers all human-generated information, regardless of how it is delivered. It includes text, image and audio, as well as video, that is shared with others on social media, blogs, news content, and within the business. DataSift Human Data Platform unites all data, historical and real-time, in one place and unlocks its meaning. It can be used anywhere in the business.

Bi(OS)®, a single platform that provides unparalleled speed and insight for data app developers, enables them to build apps in a more unified way. The entire life-cycle of building data applications takes just hours to complete with bi(OS®. This includes adding diverse data sources, generating real-time insights and deploying to production. Join enterprise data teams from across industries to become the data superhero that your business needs. The promised data-driven impact of Open Source, Cloud, or SaaS has not been realized by the trio of Open Source, Cloud, or SaaS. All the investments made by enterprises have been in data integration and movement, which is not sustainable. A new approach to data is needed that is enterprise-focused. Bi(OS)®, is a reimagining of the first principles of enterprise data management, from ingest through insight. It supports API, AI, BI builders and other unified functions to deliver data-driven impact in days. Engineers create an enduring moat when a symphony between IT teams, tools and processes emerges.

Our SHREWD Platform tools, open APIs and SHREWD Platform tools allow you to harness your entire system's data. SHREWD Platform is the platform that integrates and collects data from the SHREWD modules. The tools combine data and store it in our secure, UK-based database lake. The SHREWD modules and an API can access this data to transform it into meaningful information using targeted functions. SHREWD Platform can access data in almost any format. This includes analog data in spreadsheets and digital systems via APIs. Open APIs allow third-party connections to the data lake. SHREWD Platform is an operational data layer that provides a single source for the truth in real time. It allows SHREWD modules provide intelligent insights and managers and key decision-makers to take appropriate action at the right moment.

Inzata Analytics is an AI-powered, end to end data analytics software solution. Inzata transforms your raw data into actionable insights using a single platform. Inzata Analytics makes it easy to build your entire data warehouse in a matter of minutes. Inzata's over 700 data connectors make data integration easy and quick. Our patented aggregation engine guarantees pre-blended, blended, and organized data models within seconds. Inzata's latest tool, InFlow, allows you to create automated data pipeline workflows that allow for real-time data analysis updates. Finally, use 100% customizable interactive dashboards to display your business data. Inzata gives you the power of real-time analysis to boost your business' agility and responsiveness.

Talend Data Fabric's cloud services are able to efficiently solve all your integration and integrity problems -- on-premises or in cloud, from any source, at any endpoint. Trusted data delivered at the right time for every user. With an intuitive interface and minimal coding, you can easily and quickly integrate data, files, applications, events, and APIs from any source to any location. Integrate quality into data management to ensure compliance with all regulations. This is possible through a collaborative, pervasive, and cohesive approach towards data governance. High quality, reliable data is essential to make informed decisions. It must be derived from real-time and batch processing, and enhanced with market-leading data enrichment and cleaning tools. Make your data more valuable by making it accessible internally and externally. Building APIs is easy with the extensive self-service capabilities. This will improve customer engagement.

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.

Open source solutions that require no maintenance can save you time and money. Your engineers will enjoy working with data because it is integrated, managed and highly reliable. DoubleCloud offers a range of managed open-source services, or you can leverage the full platform's power, including data storage and visualization, orchestration, ELT and real-time visualisation. We offer leading open-source solutions like ClickHouse Kafka and Airflow with deployments on Amazon Web Services and Google Cloud. Our no-code ELT allows real-time data sync between systems. It is fast, serverless and seamlessly integrated into your existing infrastructure. Our managed open-source data visualisation allows you to visualize your data in real time by creating charts and dashboards. Our platform is designed to make engineers' lives easier.

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.

DataMax is an enterprise-ready platform which takes the most complicated elements of real-time management and makes it simple to develop, deploy, and operate at scale. This allows for faster business change. DataMax is an innovative architecture, process, and combination of specific technologies that quickly moves an organisation from disparate information and reporting sources into one view of data. This provides the insight organisations need to run their businesses more effectively. The unique combination of technologies creates enterprise-level data management. This approach is Cloud-deployable and scaleable. This data includes both time series and non-time sequence data. These platforms provide an improvement in the quality and availability of data, analysis, and reporting to market analysts teams. Then they are provided to traders.

Azure Resource Manager allows you to quickly create and deploy Azure Analysis Services instances. You can also use backup restore to quickly transfer your existing models to Azure Analysis Services. Take advantage of the flexibility, scale, and management benefits that the cloud offers. You can scale up, down, or pause the service, and only pay for what you use. Combine data from multiple sources to create a trusted BI semantic model that is easy to understand and use. Simplify the data view and its underlying structure to enable business users to self-service and discover data. Reduce the time it takes to gain insights on large and complex data sets. Your BI solution will respond quickly to your business's needs and keep up with your business. DirectQuery allows you to connect to real-time operational data and monitor the pulse of your company. Visualize your data using your favorite data visualization tool.

The Internet of Things powers a next-generation digital manufacturing platform. Datonis offers out-of-the-box apps for monitoring, measuring and analyzing data, as well as predicting the outcomes with the power of AI. Platform-based approach to connect IT/OT systems seamlessly and monetize knowledge as new apps and offerings. Interplant process benchmarking, predictive models for quality, and real-time audit compliance. Process compliance alerts, Cpk trend monitoring, quality rejection & tracking, process correlations with defects. Alerts for violations of the checklist schedule, trend analysis of checklist data and flexible framework to create different types of checklists. You can get checklist notifications, make observations on tablets, and refer to photos and videos before you make a decision about the items. Operators can use the interactive app to interact with the platform and track progress in real time. Operator workbench to input, raise alarms, call out for support and refer to engineering documentation.

TAMI provides the most complete and accurate picture of your market and gives you direct access to 130M companies and over 532M verified business contacts. Fully GDPR compliant. We specialise in European data and have a patent technology in Europe. Streamline your sales strategy and improve the efficiency of your teams' prospecting efforts,

Deepnote is building the best data science notebook for teams. Connect your data, explore and analyze it within the notebook with real-time collaboration and versioning. Share links to your projects with other analysts and data scientists on your team, or present your polished, published notebooks to end users and stakeholders. All of this is done through a powerful, browser-based UI that runs in the cloud.

All the steps involved in building machine learning algorithms and predicting results, all in one click. Data Dialog allows you to easily shape your data without having to wrangle your files. Your prediction reports can be shared with your team members or made public. Let anyone make predictions on your model. Our low-code API allows you to integrate dynamic ML predictions directly into your app. Real-time prediction of willingness to pay, score leads, and many other things. AI gives you access to the most advanced algorithms in the world, without compromising on performance. Forecast revenue, optimize supply chain, personalize your marketing. Now you can see what the next steps are. In minutes, you can add a CSV file or integrate with your favorite data sources. Select your prediction column from the dropdown and we'll automatically build the AI. Visualize the top drivers, predicted results, and simulate "what-if?" scenarios.

Scaled self-service analytics. Scuba makes it easy to access your data and start mining it for insights, regardless of whether you are a product manager, a head of a business unit or a chief experience officer. Interana allows you to interactively examine your data in real time to see not only what is happening in your company, but also why. Scuba is always available so you don't have to wait for your data. You have access to all of your data at all times, so you can answer any questions you may have. Scuba is designed for everyday business users. You don't need to know SQL or code.

Delta Lake is an open-source storage platform that allows ACID transactions to Apache Spark™, and other big data workloads. Data lakes often have multiple data pipelines that read and write data simultaneously. This makes it difficult for data engineers to ensure data integrity due to the absence of transactions. Your data lakes will benefit from ACID transactions with Delta Lake. It offers serializability, which is the highest level of isolation. Learn more at Diving into Delta Lake - Unpacking the Transaction log. Even metadata can be considered "big data" in big data. Delta Lake treats metadata the same as data and uses Spark's distributed processing power for all its metadata. Delta Lake is able to handle large tables with billions upon billions of files and partitions at a petabyte scale. Delta Lake allows developers to access snapshots of data, allowing them to revert to earlier versions for audits, rollbacks, or to reproduce experiments.

EMR is an enterprise-ready big-data platform that offers cluster, job, data management and other services. It is based on open-source ecosystems such as Hadoop Spark, Kafka and Flink. Alibaba Cloud Elastic MapReduce is a big-data processing solution that runs on the Alibaba Cloud platform. EMR is built on Alibaba Cloud ECS and is based open-source Apache Spark and Apache Hadoop. EMR allows you use the Hadoop/Spark ecosystem components such as Apache Hive and Apache Kafka, Flink and Druid to analyze and process data. EMR can be used to process data stored on different Alibaba Cloud data storage services, such as Log Service (SLS), Object Storage Service(OSS), and Relational Data Service (RDS). It is easy to create clusters quickly without having to install hardware or software. Its Web interface allows you to perform all maintenance operations.

Oracle Cloud Infrastructure (OCI Data Flow) is a fully managed Apache Spark service that performs processing tasks on very large data sets. There is no infrastructure to deploy or manage. This allows developers to focus on application development and not infrastructure management, allowing for rapid application delivery. OCI Data Flow manages infrastructure provisioning, network setup, teardown, and completion of Spark jobs. Spark applications for big data analysis are easier to create and manage because storage and security are managed. OCI Data Flow does not require clusters to be installed, patched, or upgraded, which reduces both time and operational costs. OCI Data Flow runs every Spark job in dedicated resources. This eliminates the need to plan for capacity ahead. OCI Data Flow allows IT to only pay for the infrastructure resources used by Spark jobs while they are running.

Apache Storm is an open-source distributed realtime computing system that is free and open-source. Apache Storm makes it simple to process unbounded streams and data reliably, much like Hadoop did for batch processing. Apache Storm is easy to use with any programming language and is a lot fun! Apache Storm can be used for many purposes: realtime analytics and online machine learning. It can also be used with any programming language. Apache Storm is fast. A benchmark measured it at more than a million tuples per second per node. It is highly scalable, fault-tolerant and guarantees that your data will be processed. It is also easy to set up. Apache Storm can be integrated with the queueing and databases technologies you already use. Apache Storm topology processes streams of data in arbitrarily complex ways. It also partitions the streams between each stage of the computation as needed. Learn more in the tutorial.

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.

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.

For AI and cloud analytics, you can ingest, prepare, or process data pipelines at large scale. Informatica's extensive data engineering portfolio includes everything you need to process big data engineering workloads for AI and analytics. This includes robust data integration, streamlining, masking, data preparation, and data quality.

We have created a revolutionary platform for big data that collects all information about a business and provides a single source to make informed decisions. Each music business has hundreds upon hundreds of data sources. They are scattered and siloed. Our platform connects them to create a foundation of high-quality data that can be used in all aspects of music business operations. Record labels and agencies need a sophisticated data management system and governance system to ensure that their data is always available, relevant, and easily accessible. This will allow them to work efficiently and securely, as well as uncover valuable insights that no one else can. Machine learning is used to tag data as they are added to Wavo's Big Data Platform. This makes it easy to drill-down and access important information. This allows everyone in a music industry to activate and deliver business-ready data that is backed up and organized for immediate benefit.

Toustone is a team of data professionals who are passionate about making every business data-driven. Located in Albury-Wodonga in regional Australia, Toustone has developed a BI solution that supports a variety of industries. It addresses challenges across productivity, data transparency, cohesion, and trust. This will allow you to make better, more informed data-driven business decisions. Tailored solutions that offer: * Hosting & Data Warehousing * Data Modelling & Visualisation * AI & Data Science * Fully Managed Service This fully integrated, customizable solution is based on industry experience and can be customized to allow any business to create automated daily KPI reports or visual dashboards. This will allow you to quickly and easily dig into the 'why' of the numbers, and gain meaningful, actionable insights. To begin your journey to becoming data-driven, contact Toustone today.

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.

USEReady is a data, analytics, and AI solutions firm headquartered in New York. With over a decade of experience, USEReady helps organizations transform data into actionable insights and achieve business goals. The company offers migration automation tools like STORM and MigratorIQ, along with Pixel Perfect for enhanced enterprise reporting. Plus, its two practices viz., Data Value, which focuses on modern data architectures and BI & AI initiatives, and Decision Intelligence, which empowers informed decisions and drives business outcomes through AI lend further credence to its focus on data-driven transformation. With a global team of 450+ experts and offices in the U.S., Canada, India, and Singapore, USEReady has served over 300 customers, including Fortune 500 companies across various industries. The company partners with industry leaders like Tableau, Salesforce, Snowflake, Starburst, and AWS, and has received multiple awards, including Tableau Partner of the Year.

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.

Data management and analytics platform that addresses data challenges and enables real-time decision making. DataLux includes plug-and-play adaptors that allow for the aggregation and visualization of large data sets. The data lake can be used to prevent new innovations. You can store data and make it available for data modeling. Containeristion can be used to create portable applications in a public, private, or on-premise cloud. Multiple time-series and inferred data can be combined, such as stock exchange tick data and stock market policy actions. You can also combine related and cross-industry data to extract causal information about stock market, macroeconomics, and other factors. By providing insights and guiding key decisions for product improvement, business decisions can be made. You can conduct interdisciplinary A/B tests across product design, engineering, and product development from ideation to decision-making.

LogIsland is the heart of Hurence’s real-time analytics. It allows you to capture factory events, IIoT, and events from your websites. Hurence says that a factory or, more broadly, a company can be understood and monitored in real-time through all events that it encounters. A sales order is an example of an event, while the production of a piece of robot-controlled machinery is an instance of an event, and the delivery of a product an event. Every event is an event. LogIsland allows you to capture all of these events, place them in a messagebus for large volumes, and analyze them in real-time with plug and play analyzers. These analyzers range from simple (counting alerts, recommendations), up to more complex artificial intelligence models for detection and prediction of anomalies and defects. You have two options for real-time analysis of events: custom analyzers for web analytics or industry 4.0.

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.

Lentiq is a data lake that allows small teams to do big tasks. You can quickly run machine learning, data science, and data analysis at scale in any cloud. Lentiq allows your teams to ingest data instantly and then clean, process, and share it. Lentiq allows you to create, train, and share models within your organization. Lentiq allows data teams to collaborate and invent with no restrictions. Data lakes are storage and process environments that provide ML, ETL and schema-on-read querying capabilities. Are you working on data science magic? A data lake is a must. The big, centralized data lake of the Post-Hadoop era is gone. Lentiq uses data pools, which are interconnected, multi-cloud mini-data lakes. They all work together to provide a stable, secure, and fast data science environment.

Etlworks is a cloud-first, all-to-any data integration platform. It scales with your business. It can connect to databases and business applications as well as structured, semi-structured and unstructured data of all types, shapes, and sizes. With an intuitive drag-and drop interface, scripting languages and SQL, you can quickly create, test and schedule complex data integration and automation scenarios. Etlworks supports real time change data capture (CDC), EDI transformations and many other data integration tasks. It works exactly as advertised.

Sigma is a cloud-based business intelligence (BI), and analytics application. Sigma is trusted by data-first businesses. It provides live access to cloud data warehouses via an intuitive spreadsheet interface. This allows business experts to get more information about their data without having to write a single line code. Business users can access their data in real-time using the cloud's full power and familiar interface. Sigma is self-service analytics at its best.