Alternatives to CONNX

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.

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.

Fivetran is the smartest method to replicate data into your warehouse. Our zero-maintenance pipeline is the only one that allows for a quick setup. It takes months of development to create this system. Our connectors connect data from multiple databases and applications to one central location, allowing analysts to gain profound insights into their business.

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.

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.

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.

TIBCO offers industrial-strength software solutions that meet performance, throughput and reliability requirements. They also offer a variety of deployment options and technologies to deliver real-time information where it is needed. The TIBCO platform will allow you to manage and monitor your TIBCO applications, no matter where they are located: in the cloud, on premises, or at the edge. TIBCO builds solutions that are critical to the success of some of the largest companies in the world.

AWS Glue, a fully managed extract-transform-and-load (ETL) service, makes it easy for customers prepare and load their data for analysis. With just a few clicks, you can create and run ETL jobs. AWS Glue simply points to the AWS Data Catalog and AWS Glue finds your data and stores metadata (e.g. AWS Glue Data Catalog contains the table definition and schema. Once your data has been cataloged, it is immediately searchable and queryable. It is also available for ETL.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Infrastructure at your terms. This is the Hedvig Distributed Storage Platform™. Software-defined storage platforms allow you to tailor your storage environment to meet your data and application requirements. The platform is built on industry-standard x86 servers and provides multi-protocol support across block, file and object storage with native app, hypervisor container, cloud integration and cloud integration to consolidate storage silos and eliminate data fragmentation. Stop fragmentation of your data infrastructure. Software-defined storage (SDS), a modern infrastructure for your modern data centre that is predictable, resilient, and simple, provides software-defined storage (SDS). Many enterprises use a combination of public and on-premises cloud infrastructure. This requires multiple applications to support VMs moving from on-premises to cloud. You would also like to speed provisioning to make managing VMs easier throughout their lifecycle.

A data virtualization solution for enterprise data that allows access to multiple data sources and delivers the data and IT-curated data services foundation needed for almost any solution. The TIBCO®, Data Virtualization system is a modern data layer that addresses the changing needs of companies with mature architectures. Eliminate bottlenecks, enable consistency and reuse, and provide all data on demand in a single logical level that is governed, secure and serves a diverse user community. You can access all data immediately to develop actionable insights and take immediate action. Users feel empowered because they can search and select from a self service directory of virtualized business information and then use their favorite analytical tools to get results. They can spend more time analysing data and less time searching.

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.

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.

Oracle Big Data SQL Cloud Service allows organizations to instantly analyze data across Apache Hadoop and NoSQL. This service leverages their existing SQL skills, security policy, and applications with extreme speed. Big Data SQL allows you to simplify data science and unlock data lakes. Big Data SQL provides users with a single place to store and secure data in Hadoop, NoSQL systems, and Oracle Database. Seamless metadata integration, and queries that combine data from Oracle Database and Hadoop and NoSQL database data. Automated mappings can be done from metadata stored in HCatalog or the Hive Metastore to Oracle Tables using utility and conversion routines. Administrators have the ability to set enhanced access parameters that allow them to control data access behavior and column mapping. Multiple cluster support allows one Oracle Database to query multiple Hadoop clusters or NoSQL systems.

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.

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.

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.

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.

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.

CData Sync is a universal database pipeline that automates continuous replication between hundreds SaaS applications & cloud-based data sources. It also supports any major data warehouse or database, whether it's on-premise or cloud. Replicate data from hundreds cloud data sources to popular databases destinations such as SQL Server and Redshift, S3, Snowflake and BigQuery. It is simple to set up replication: log in, select the data tables you wish to replicate, then select a replication period. It's done. CData Sync extracts data iteratively. It has minimal impact on operational systems. CData Sync only queries and updates data that has been updated or added since the last update. CData Sync allows for maximum flexibility in partial and full replication scenarios. It ensures that critical data is safely stored in your database of choice. Get a 30-day trial of the Sync app for free or request more information at www.cdata.com/sync

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 industry's most comprehensive, API-driven, microservices-based, AI-powered enterprise iPaaS is here to help you go beyond the table. IICS is powered by the CLAIRE engine and supports any cloud-native patterns, including data, applications, API integration, MDM, and API integration. Our multi-cloud support and global distribution covers Microsoft Azure, AWS and Google Cloud Platform. Snowflake is also included. IICS has the industry's highest trust and enterprise scale, as well as the industry's highest security certifications. Our enterprise iPaaS offers multiple cloud data management products that can be used to increase productivity, speed up scaling, and increase efficiency. Informatica is a Leader in the Gartner 2020 Magic Quadrant Enterprise iPaaS. Informatica Intelligent Cloud Services reviews and real-world insights are available. Get our cloud services for free. Customers are our number one priority, across products, services, support, and everything in between. We have been able to earn top marks in customer loyalty 12 years running.

Presto is an open-source distributed SQL query engine that allows interactive analytic queries against any data source, from gigabytes up to petabytes.

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.

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.

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.

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.

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.

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.

You can integrate your apps with just a few clicks and not by writing code. You can get up and running in under an hour with pre-built templates and an intuitive interface. DBSync Cloud Workflow offers a robust integration platform that is available on both cloud-based and SaaS. DBSync Cloud Workflow is easily integrated into API interfaces, laptops or desktops, mobile phones or tablets. Connect to Accounting systems, Popular Databases and Apps CRM's. Any connector can be easily integrated using a custom workflow. Use out-of-the box integration Maps and Processes to help with common use cases such as CRM, Accounting integration, data replication, and other areas. You can use it as-is or modify it to suit your needs. Automate complex business processes by developing, managing and automating them into simple workflows. Support for newer archiving technology like Cassandra and Hive, Amazon RedShift and many more.

Adoki automates data transfers from and to any platform or system, whether it's a database, data warehouse, cloud service, Hadoop, or streaming application, on both a one-time schedule and recurring schedule. It adapts itself to the workload of your IT infrastructure, adjusting replication or transfer processes at optimal times as needed. Adoki's centralized monitoring and management of data transfers allows you to manage your data operations more efficiently with a smaller team.

Alibaba Cloud Data Integration (ACI) is a comprehensive platform for data synchronization that allows real-time data exchange between various data sources and networks. It also facilitates offline data exchange. It supports data synchronization across more than 400 pairs disparate data sources including RDS databases (such as audio and video), semi-structured and non-structured data storage (such images and videos), NoSQL database and big data storage. The platform also allows real-time data reading, writing, and synchronization between data sources like Oracle, MySQL, DataHub, and others. Data Integration allows users schedule offline tasks using trigger times such as year, month day, hour and minute. This simplifies the configuration of periodic incremental extraction. It integrates seamlessly into DataWorks data modelling, providing a workflow that is integrated for operations and maintenance. The platform uses Hadoop clusters' computing power to synchronize HDFS to MaxCompute.

CData Connect Real-time operational and business data is critical for your organization to provide actionable insights and drive growth. CData Connect is the missing piece in your data value chain. CData Connect allows direct connectivity to any application that supports standard database connectivity. This includes popular cloud BI/ETL applications such as: - Amazon Glue - Amazon QuickSight Domo - Google Apps Script - Google Cloud Data Flow - Google Cloud Data Studio - Looker - Microsoft Power Apps - Microsoft Power Query - MicroStrategy Cloud - Qlik Sense Cloud - SAP Analytics Cloud SAS Cloud SAS Viya - Tableau Online ... and many other things! CData Connect acts as a data gateway by translating SQL and securely proxying API calls.

Stitch is a cloud-based platform that allows you to extract, transform, load data. Stitch is used by more than 1000 companies to move billions records daily from SaaS databases and applications into data warehouses or data lakes.

Standardize database deployments for SQL Server, Oracle and 18 other databases. Flexible toolchain for easy adoption across groups Catch errors and speed development with Continuous Integration. Get control of every change to your databases. Redgate Deploy allows your teams to automate database development processes, allowing you to accelerate software delivery and ensure quality code. Redgate Deploy extends DevOps capabilities to your databases by integrating Redgate's industry-leading tools, Flyway migrations framework and industry-leading tools. Automate your deployments to speed up the delivery of database updates through your pipeline. Redgate Deploy ensures consistency and quality by providing repeatable processes that can be standardized at all stages, from version control to live deploy.

Today there is a constant buzz about how top companies are using big data to gain competitive advantage. Your company is trying to be one of these market-leading companies. The reality is that more than 80% of big-data projects fail to go to production. This is because project implementation can be complex and resource-intensive. It can take months, if not years, to complete. The technology is complex and the people with the right skills are difficult to find. Automates all data workflows, from source to consumption. Automates the migration of data and workloads between legacy Data Warehouse systems and big data platforms. Automates the orchestration and management complex data pipelines in production. Alternative methods, such as custom development or stitching together multiple points solutions, are more expensive, inflexible and time-consuming, and require specialized skills to assemble.

SAS Data Management allows you to access your data regardless of where it is stored. You can create data management rules once and then reuse them. This gives you a consistent, repeatable way to improve and integrate data without extra cost. It's easy to get involved in tasks that are not your normal duties as an IT expert. SAS Data Management allows your business users to update data and tweak processes, as well as analyze results. This frees you up to work on other projects. A built-in business glossary, along with SAS and third-party metadata management, and lineage visualization capabilities, keeps everyone on the same page. SAS Data Management technology is fully integrated. This means that you don't have to use a solution that has been thrown together. All components of SAS Data Management technology, from data quality to federation technology, are part and parcel of the same architecture.

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.

Qlik Replicate offers high-performance data replication, optimized data ingestion and seamless integration into all major big data analytics platforms. Replicate supports both bulk replication and real-time incremental replicating using CDC (changed data capture). Our unique zero footprint architecture eliminates unnecessary overhead for your mission-critical systems, and facilitates data migrations and upgrades with zero downtime. Database replication allows you to consolidate or move data from a production data base to a newer database version, another computing environment, or a different database management system. For example, you can migrate data from SQL server to Oracle. Data replication is a way to move production data out of a database and into operational data stores, data warehouses or other data storage systems for analytics or reporting.

Apache Kafka®, with Confluent, has an infinite retention. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming allows you to innovate and win by being both highly-scalable and real-time. Ever wonder how your rideshare app analyses massive amounts of data from multiple sources in order to calculate real-time ETA. Wondering how your credit card company analyzes credit card transactions from all over the world and sends fraud notifications in real time? Event streaming is the answer. Microservices are the future. A persistent bridge to the cloud can enable your hybrid strategy. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. There are many other options.