Alternatives to TIBCO Data Virtualization

Domo puts data to work for everyone so they can multiply their impact on the business. Underpinned by a secure data foundation, our cloud-native data experience platform makes data visible and actionable with user-friendly dashboards and apps. Domo helps companies optimize critical business processes at scale and in record time to spark bold curiosity that powers exponential business results.

Windocks provides on-demand Oracle, SQL Server, as well as other databases that can be customized for Dev, Test, Reporting, ML, DevOps, and DevOps. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Databases can be delivered to conventional instances, Kubernetes or Docker containers. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.

We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.

The core technology that enables modern data integration and data management. Connect disparate, structured and unstructured data sources quickly. Catalog your entire data ecosystem. The data is kept in the source and can be accessed whenever needed. Adapt data models to the consumer's needs, even if they come from multiple sources. Your back-end technologies can be hidden from end users. You can secure the virtual model and use it to consume standard SQL and other formats such as SOAP, REST, SOAP, and OData. Access to all types data is easy. Data integration and data modeling capabilities are available. Active Data Catalog and self service capabilities for data and metadata discovery and preparation. Full data security and governance capabilities. Data queries executed quickly and intelligently. Real-time data delivery in all formats. Data marketplaces can be created. Data-driven strategies can be made easier by separating business applications and data systems.

Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.

Integrate with existing toolchain to automate self-service provisioning, refresh enterprise workloads, and integrate with existing tools. Through a rich set APIs and automation, data scientists can achieve high-performance data delivery and re-use. Any cloud data can be recovered at any time, at any scale, and beyond legacy solutions. Reduce the business impact of ransomware and cyber attacks by quickly recovering with immutable backups. Unified platform to protect, secure, keep, govern, and recover your data whether it is on-premises or cloud. Actifio's patented software platform turns data silos into data pipelines. Virtual Data Pipeline (VDP), provides full-stack data management - hybrid, on-premises, or multi-cloud -- from rich application integration, SLA based orchestration, flexible movement, data immutability, security, and SLA-based orchestration.

DevOps can be simplified and privacy concerns eliminated by giving your teams full data autonomy via an easy-to use self-service portal. You can simplify access, remove data roadblocks, and speed up provisioning for data analysts, dev, testing, and other purposes. The Accelario Continuous DataOps platform is your one-stop-shop to all of your data needs. Eliminate DevOps bottlenecks, and give your teams high-quality, privacy-compliant information. The platform's four modules can be used as standalone solutions or as part of a comprehensive DataOps management platform. Existing data provisioning systems can't keep pace with agile requirements for continuous, independent access and privacy-compliant data in autonomous environments. With a single-stop-shop that provides comprehensive, high-quality, self-provisioning privacy compliant data, teams can meet agile requirements for frequent deliveries.

Connect and centralize data. Transform your data landscape into a flexible powerhouse. Data Virtuality is a data integration platform that allows for instant data access, data centralization, and data governance. Logical Data Warehouse combines materialization and virtualization to provide the best performance. For high data quality, governance, and speed-to-market, create your single source data truth by adding a virtual layer to your existing data environment. Hosted on-premises or in the cloud. Data Virtuality offers three modules: Pipes Professional, Pipes Professional, or Logical Data Warehouse. You can cut down on development time up to 80% Access any data in seconds and automate data workflows with SQL. Rapid BI Prototyping allows for a significantly faster time to market. Data quality is essential for consistent, accurate, and complete data. Metadata repositories can be used to improve master data management.

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.

Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.

Clonetab has many options to meet the needs of each site. Although Clonetab's core features will suffice for most site requirements, Clonetab also offers infrastructure to allow you to add custom steps to make it more flexible to meet your specific needs. Clonetab base module for Oracle Databases, eBusiness Suite, and PeopleSoft is available. Normal shell scripts used to perform refreshes can leave sensitive passwords in flat file. They may not have an audit trail to track who does refreshes and for which purpose. This makes it difficult to support these scripts, especially if the person who created them leaves the organization. Clonetab can be used to automate refreshes. Clonetab's features, such as pre, post and random scripts, target instances retention options like dblinks, concurrent processes, and appltop binary copying, allow users to automate most of their refresh steps. These steps can be done once. The tasks can then be scheduled.

Unlock the potential value of your data, wherever it may be. Data-driven companies must be able to access all information across apps, clouds, and systems in order to make use of it. CONNX data integration allows you to easily access, virtualize, and move your data, regardless of where it is located or how it's structured, without having to change your core systems.

Oracle's server virtualization products are optimized for performance and efficiency. They support x86 architectures and a variety workloads like Linux, Windows, and Oracle Solaris. Oracle offers hypervisor-based solutions as well as virtualization built into hardware and Oracle operating system to provide the best solution for your entire computing environment.

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.

An attacker cannot discover your backups because of a logical air gap. Our append-only file system makes backup data inaccessible to hackers. Multi-factor authentication can be enforced globally to keep unauthorized users from accessing your backups. You can replace hundreds of backup jobs, or even thousands, with just a few policies. The same policies should be applied to all workloads, both on-premises as well as in the cloud. Archive your data to your cloud provider's blob storage. With real-time predictive searching, you can quickly access archived data. You can search across your entire environment down to the file level and choose the right time to recover. Recoveries can be done in a matter of hours, instead of days or weeks. Microsoft and Rubrik have joined forces to help businesses build cyber-resilience. You can reduce the risk of data loss, theft, and backup data breaches by storing immutable copies in a Rubrik-hosted cloud environment that is isolated from your core workloads.

Delphix is the industry leader for DataOps. It provides an intelligent data platform that accelerates digital change for leading companies around world. The Delphix DataOps Platform supports many systems, including mainframes, Oracle databases, ERP apps, and Kubernetes container. Delphix supports a wide range of data operations that enable modern CI/CD workflows. It also automates data compliance with privacy regulations such as GDPR, CCPA and the New York Privacy Act. Delphix also helps companies to sync data between private and public clouds, accelerating cloud migrations and customer experience transformations, as well as the adoption of disruptive AI technologies.

Red Hat JBoss Data Virtualization allows for the easy access to trapped data and makes it easily consumable, unified and actionable. Red Hat JBoss Data Virtualization allows data from multiple systems to appear as a collection of tables in a local table. Access to heterogeneous data stores in real time via standards-based read/write. Facilitates application development and integration by simplifying the access to distributed data. Data consumer requirements are used to integrate and transform data semantics. Secure security infrastructure provides centralized access control and auditing. Transform fragmented data into actionable data at the speed that your business requires. Red Hat provides support and maintenance for major JBoss versions over specified time periods.

Traditional methods of integrating mainframe, ETL, warehouses, and building connectors are not fast enough or efficient enough to be useful for businesses today. Data virtualization is a new way to store and create more data on the mainframe than ever before. Data virtualization is the only way to close the gap and make mainframe data more accessible to developers and other applications. You can map your data once and then virtualize it for access anywhere, anytime. Your data can scale to your business goals. Data virtualization on z/OS removes the complexity that comes with working with mainframe resources. Data virtualization allows you to combine data from many sources into one logical data source. This makes it easier to connect mainframe data to your distributed applications. Combine mainframe data with location, social networks, and other distributed data.

Embedded Data Virtualization allows you to extend your applications with unified data connectivity. CData Query Federation Drivers are a universal data access layer that makes it easier to develop applications and access data. Through a single interface, you can write SQL and access data from 250+ applications and databases. The CData Query Federation Driver provides powerful tools such as: * A Single SQL Language and API: A common SQL interface to work with multiple SaaS and NoSQL, relational, or Big Data sources. * Combined Data Across Resources: Create queries that combine data from multiple sources without the need to perform ETL or any other data movement. * Intelligent Push-Down - Federated queries use intelligent push-down to improve performance and throughput. * 250+ Supported Connections: Plug-and–Play CData Drivers allow connectivity to more than 250 enterprise information sources.

Optic, our data fabric enabler is an autonomous and intelligent product that catalogs data. It is based on a unified database management architecture. You can empower your business users with modern data culture that includes democratized intelligence assets and intelligent governance. This will improve workplace productivity. Optic creates a data marketplace that allows you to quickly access valuable insights and maximizes your ROI. Optic employs embedded Artificial Intelligence to automatically understand all types data assets, including documents, datasets, APIs and ML models. It smartly catalogs all metadata and crawls all of them autonomously. Optic auto-publishes, auto-syncs and auto-updates metadata to be consumed. This increases productivity for all data persons. Smart data crawling uncovers hidden entities and creates knowledge resources. Personalization is possible through AI-driven, persona-specific suggestions and search pattern analysis.

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.

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.

Eliminating legacy backup silos will simplify your data protection. You can quickly recover from any disaster by effectively protecting virtual, physical, and cloud workloads. Get compute to your data, and run apps to gain insight.

Cloud environments can be quickly set up for quick development, testing, and productivity for your IT staff and business users. Comprehensive data governance for business users will reduce the risks and cost of maintaining your data lakes. You can save money by providing consistent, timely, and clean information for your data lakes, big data projects, and data warehouses. Also, consolidate applications and retire outdated databases. Automatic schema propagation can be used to accelerate job generation, type-ahead searching, and backwards capabilities. All this while designing once and executing everywhere. With a cognitive design that recognizes patterns and suggests ways to use them, you can create data integration flows and enforce quality rules and data governance. You can improve visibility and information governance by creating authoritative views of information that are complete and authoritative.

You can gain valuable insights into your pharma business from one platform. Single Platform Product Combining data in innovative ways to create unique KPI's Integrated Data All data is in one place. There is no need to remember multiple passwords. Pharma Insights. Complete business analytics for commercial pharmacy operations. Pharmafusion is one analytics platform. Pharmafusion is a single analytics platform that provides all the information you need. Many pharmaceutical companies have many tools, systems, vendors, and vendors to help them get the data they need. It offers data sources and subject areas covering nearly 50 pharmaceutical subjects. Integration of information from all areas of the pharmaceutical spectrum into ONE Platform. Clinical. Regulatory. Business Development. Marketing. Managed-Care. Trade. Sales. Accounting & Finance. Pharmafusion gives you valuable data insights that enable you to take action. Pharmafusion combines diverse, distinct and different datasets into one unified data set.

SQL Secure allows database administrators to manage SQL Server security in virtual, physical, and cloud environments. This includes managed cloud databases. It is different from other competitors because it allows for configurable data collection and customizable templates to meet audits for multiple regulatory guidelines.

The Hammerspace Global Data Environment makes network share visible and accessible from anywhere in the world to remote data centers and public cloud. Hammerspace is the only global file system that leverages our metadata replication, file granular data services and transparent data orchestration. This allows you to access your data wherever you need it, when you need. Hammerspace offers intelligent policies that help you manage and orchestrate your data. Hammerspace provides intelligent policies to manage and orchestrate your data.

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.

There are many products that can help companies do this. But if your priorities include creating a data-driven company and being as efficient as possible, Fraxses is the best distributed data platform. Fraxses gives customers access to data on-demand and delivers powerful insights through a data mesh (or data fabric architecture) solution. A data mesh is a structure that can be placed over diverse data sources, connecting them and enabling them all to work together in a single environment. The Fraxses data platform is decentralized, unlike other data integration and virtualization platforms. Although Fraxses supports traditional data integration processes, the future lies with a new approach where data is delivered directly to users without the need of a centrally managed data lake or platform.

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.

Adaptive data virtualization™, a technology that allows enterprises to run existing applications on modern cloud storage warehouses without rewriting them or reconfiguring them, is Adaptive Data Virtualization™. Datometry HyperQ™, a cloud database management software, allows enterprises to adopt new cloud databases quickly, reduce ongoing operating expenses, and develop analytic capabilities to accelerate digital transformation. Datometry HyperQ virtualization software makes it possible to run any existing application on any cloud database. This allows applications and databases to interoperate. Enterprises can now choose the cloud database they prefer, without needing to rip, replace, or rewrite existing applications. Runtime compatibility with legacy data warehouse functions can be achieved through Transformation and Emulation. Transparent deployments on Azure, AWS, or GCP clouds. Applications can continue to use existing JDBC and ODBC connectors. Connects to the major cloud data warehouses Azure Synapse Analytics and AWS Redshift as well as Google BigQuery.

Oracle Data Service Integrator allows companies to quickly create and manage federated services that allow access to single views of disparate data. Oracle Data Service Integrator is fully standards-based and declarative. It also allows for re-usability. Oracle Data Service Integrator supports bidirectional (read/write) data services creation from multiple data sources. Oracle Data Service Integrator also offers the unique capability to eliminate coding by graphically modeling simple and complex updates from heterogeneous sources. Data Service Integrator is easy to use: install, verify, uninstall and upgrade. Oracle Data Service Integrator was previously known as Liquid Data (ALDSP) and AquaLogic Data Services Platform. Some of the original names are still used in the product, installation path and components.

The market-leading, scalable, and high-performance enterprise data management platform allows you to embrace agility. All aspects of data integration are supported, from the initial project jumpstart to the successful deployment of mission-critical enterprise applications. PowerCenter, a metadata-driven data management platform, accelerates and jumpstarts data integration projects to deliver data to businesses faster than manual hand coding. Developers and analysts work together to quickly prototype, iterate and validate projects, then deploy them in days instead of months. Your data integration investments can be built on PowerCenter. Machine learning can be used to efficiently monitor and manage PowerCenter deployments across locations and domains.

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.

A true self-service reporting platform and analytics platform will empower your business. Orbit's business intelligence and operational reporting software is powerful and scalable. Users can create their own reports and analytics. Orbit Reporting + Analytics provides pre-built integration with enterprise resources planning (ERP), key cloud business applications, such as Salesforce, Oracle E-Business Suite and PeopleSoft. Orbit allows you to quickly and efficiently discover answers from any data source, identify opportunities, and make data-driven decisions.

VMware Cloud Director is a cloud service-delivery platform that's used by many of the most well-known cloud providers around the world to manage and operate successful cloud-service businesses. Cloud providers can deliver secure, efficient, elastic cloud resources to thousands upon thousands of IT teams around the globe using VMware Cloud Director. You can use VMware Cloud Director to build your cloud infrastructure. A policy-driven approach helps enterprises have isolated virtual resources and independent role-based authorization and fine-grained management." to "A policy driven approach to compute storage, networking, and security ensures that tenants have securely isolated virtual ressources, independent role based authentication, fine-grained management of their public cloud services." You can stretch data centers across sites and geographic locations; you can monitor resources from a single pane of glass that has multi-site aggregate views.

data.world is a fully managed cloud service that was built for modern data architectures. We handle all updates, migrations, maintenance. It is easy to set up with our large and growing network of pre-built integrations, including all the major cloud data warehouses. Your team must solve real business problems and not struggle with complicated data software when time-to value is important. data.world makes it simple for everyone, not just the "data people", to get clear, precise, and fast answers to any business question. Our cloud-native data catalog maps siloed, distributed data to consistent business concepts, creating an unified body of knowledge that anyone can understand, use, and find. Data.world is the home of the largest open data community in the world. It is where people come together to work on everything, from data journalism to social bot detection.

Velox Software Suite allows data migration and system integration throughout an entire organization. The suite includes two applications: Migration Studio VXm -- which allows users to control data migrations; and Integration Server VXi -- which automates data processing and integration. Extract multiple sources and send to multiple destinations. A near real-time, unified view of all data without having to move between sources. Physically combine data from multiple sources, reduce storage locations, and transform according to business rules.

Real-time monitoring and alarming rain using rain gauges to alert staff or trigger operations staff about specific flooding or potential sewer overflow. The "Distributed Rainfall Modeling Technique" (DRMT) is a method of monitoring and analyzing rainfall amounts at different locations in order to determine the amount of rain in non-monitored locations. Combining rainfall gauge rainfall data with rainfall radar data can produce improved rainfall coverage maps. Analysis of recent rainfall records to develop rainfall intensity-duration curves for comparing with the area's design intensity-duration-frequency curves and define the return periods of observed events (forensic analysis). Develop new intensity-duration-frequency curves for designing drainage system infrastructure (sewers, channels, storage facilities). Data analysis and flow monitoring are used to determine rainfall versus stormwater runoff response curves in order to calibrate drainage system models.

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.

BryteFlow creates the most efficient and automated environments for analytics. It transforms Amazon S3 into a powerful analytics platform by intelligently leveraging AWS ecosystem to deliver data at lightning speed. It works in conjunction with AWS Lake Formation and automates Modern Data Architecture, ensuring performance and productivity.

Virtuoso, a Data Virtualization platform that enables fast and flexible harmonization between disparate data, increases agility for both individuals and enterprises. Virtuoso Universal server is a modern platform built upon existing open standards. It harnesses the power and flexibility of Hyperlinks (functioning like Super Keys) to break down data silos that hinder both enterprise and user ability. Virtuoso's core SQL & SPARQL powers many Enterprise Knowledge Graph initiatives, just as they power DBpedia. They also power a majority nodes in Linked Open Data Cloud, the largest publicly accessible Knowledge Graph. Allows for the creation and deployment of Knowledge Graphs atop existing data. APIs include HTTP, ODBC and JDBC, OLE DB and OLE DB.

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.

Dapps built on top Space and Time are blockchain interoperable. They crunch SQL + machine learning for Gaming/DeFi as well as any other decentralized applications that require verifiable tamperproofing or blockchain-security. By connecting off-chain storage to on-chain analytics insights, we merge blockchain data with a new-generation database. Multi-chain integration, indexing and anchoring are made easy by combining on-chain and offline data. Advanced data security with proven capabilities. Connect to real-time, relational blockchain data that we have already indexed from major chain data sources as well as data you have ingested off-chain. You can send tamperproof query results to smart contract in a trustless manner or publish the query results directly onto-chain using our cryptographic guarantees (Proof SQL).

INGEST. PREPARE. DELIVER. ALL WITH A SINGLE TOOL. Build a data infrastructure capable of ingesting, transforming, modeling, and delivering clean, reliable data in the fastest, most efficient way possible - all within a single, low-code user interface. ALL THE DATA INTEGRATION CAPABILITIES YOU NEED IN A SINGLE SOLUTION. TimeXtender seamlessly overlays and accelerates your data infrastructure, which means you can build an end-to-end data solution in days, not months - no more costly delays or disruptions. Say goodbye to a pieced-together Frankenstack of disconnected tools and systems. Say hello to a holistic solution for data integration that's optimized for agility. Unlock the full potential of your data with TimeXtender. Our comprehensive solution enables organizations to build future-proof data infrastructure and streamline data workflows, empowering every member of your team.

SAP BW/4HANA, a packaged data warehouse that uses SAP HANA, is an example of a packaged data warehouse. It is the on-premise data warehouse layer for SAP's Business Technology Platform. It allows you to consolidate data across your enterprise to get a consistent, agreed upon view of your data. Streamline your processes and support innovation with one source for real-time insight. Our next-generation SAP HANA-based data warehouse solution will help you maximize the value of all your data, whether it is from SAP applications or third party solutions. It also supports unstructured, geospatial or Hadoop-based data. Transform data practices to increase efficiency and agility in the deployment of live insights at scale on premise and in the cloud. A Big Data warehouse can be used to drive digitization across all business lines, and it also allows you to leverage digital business platform solutions from SAP.

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.

Panoply makes it easy to store, sync and access all your business information in the cloud. With built-in integrations to all major CRMs and file systems, building a single source of truth for your data has never been easier. Panoply is quick to set up and requires no ongoing maintenance. It also offers award-winning support, and a plan to fit any need.

Hudi is a rich platform for building streaming data lakes using incremental data pipelines on a self managing database layer. It can also be optimized for regular batch processing and lake engines. Hudi keeps a timeline of all actions on the table at different times. This allows for instantaneous views and efficient retrieval of data in the order they were received. The following components make up a Hudi instant. Hudi provides efficient upserts by mapping a given Hoodie key consistently with a file ID, via an indexing mechanism. Once a record is written to a file, the mapping between record key/file group/file ID never changes. The mapped file group includes all versions of a group record.

A cloud database that can scale to handle large streaming data sets. Kinetica harnesses modern vectorized processors to perform orders of magnitude faster for real-time spatial or temporal workloads. In real-time, track and gain intelligence from billions upon billions of moving objects. Vectorization unlocks new levels in performance for analytics on spatial or time series data at large scale. You can query and ingest simultaneously to take action on real-time events. Kinetica's lockless architecture allows for distributed ingestion, which means data is always available to be accessed as soon as it arrives. Vectorized processing allows you to do more with fewer resources. More power means simpler data structures which can be stored more efficiently, which in turn allows you to spend less time engineering your data. Vectorized processing allows for incredibly fast analytics and detailed visualizations of moving objects at large scale.