Best IT Management Software for Apache Hive

With industry-leading IBM API Connect, you can expertly secure and manage all aspects of your API ecosystem across multiple cloud platforms. This includes boosting socialization efforts and monetization efforts. IBM API Connect®, a complete, intuitive, and scalable API platform, allows you to create, securely expose and manage APIs across multiple clouds. This allows you and your customers to power digital applications and encourage innovation. IBM API Connect can also be used with other capabilities as an IBM Cloud Pak®, which can help you reach your application modernization goals in your journey to the cloud. IBM API Connect security is built using the advanced IBM(r] DataPower(r] Gateway. It comes with a single, signed and encrypted gateway that greatly reduces the risk of cybersecurity incidents. IBM API Connect has 22% market share, more than any competitor1.1 It's a trusted API solution that manages and protects services and data across multiple cloud environments.

ProActive Parallel Suite, a member of the OW2 Open Source Community for acceleration and orchestration, seamlessly integrated with the management and operation of high-performance Clouds (Private, Public with bursting capabilities). ProActive Parallel Suite platforms offer high-performance workflows and application parallelization, enterprise Scheduling & Orchestration, and dynamic management of private Heterogeneous Grids & Clouds. Our users can now simultaneously manage their Enterprise Cloud and accelerate and orchestrate all of their enterprise applications with the ProActive platform.

StarfishETL is a Cloud iPaaS solution, which gives it the unique ability to connect virtually any kind of solution to any other kind of solution as long as both of those applications have an API. This gives StarfishETL customers ultimate control over their data projects, with the ability to build more unique and scalable data connections.

DreamFactory is a REST API Management Platform. Auto Generate REST APIs. A cloud-based or on-premise API generation platform that is enterprise-grade. Instantly generate database APIs to build faster applications. The biggest bottleneck in modern IT is eliminated. Your project can be launched in weeks instead of months. DreamFactory creates a secure, standardized and reusable, fully documented, live REST API. DreamFactory can integrate any SQL or NoSQL file storage system or SOAP service. It instantly creates a RESTAPI with Swagger documentation, user role, and more. Every API endpoint is secured with User Management, Role Based Access Controls, SSO Authentication and Swagger documentation. Rapidly create mobile, web and IoT apps using REST-based APIs. DreamFactory offers example apps for iOS, Android and Titanium.

AI and automation can improve the speed and quality of application integration. IBM® App Connect connects applications and data instantly from all systems and modern technologies. App Connect provides enterprise service bus (ESB), agile integration architecture (AIA), microservices deployment of integration artifacts. This allows businesses to deploy to a variety of flexible integration patterns. Customers can make online insurance claims more simple and accurate by integrating AI and integration. Open banking APIs are being used all over the world and are leading the way to an open data economy that empowers and unlocks innovation. Continuum is a concept that involves an integrated system that tracks and guides patients over time. It includes a wide range of health services, covering all levels of intensity.

IBM Cloud Pak For Integration®, a hybrid integration platform, is an automated, closed-loop system that supports multiple styles and types of integration in a single, unified experience. Connect cloud and on-premise apps to unlock business data and assets, securely move data with enterprise messaging, deliver event interactions, transfer data across all clouds, and deploy and scale with shared foundational services and cloud-native architecture. All this is done with enterprise-grade encryption and security. Automated, closed-loop, and multi-style integrations deliver the best results. Targeted innovations can be used to automate integrations. These include natural language-powered flows, AI-assisted maps and RPA. You can also use company-specific operational information to continuously improve integrations and API test generation. Workload balancing can also be achieved.

It takes a lot of time and resources to install and configure today's complex software technology platforms. Xtendlabs is different. Xtendlabs Emerging Technology Platform-as-a-Services provides immediate access to emerging Big Data, Data Sciences, and Database technology platforms online, from any device and location, 24/7. Xtendlabs can be accessed 24/7 from any location, whether it is your home, office, or on the road. Xtendlabs can scale to your needs on-demand so you can concentrate on your business problem and learning, rather than trying to set up infrastructure. Sign-in to immediately access your virtual lab environment. Xtendlabs does not require virtual machine installation, configuration or system setup, which saves valuable time and money. Pay as you go each month. Xtendlabs does not require upfront investments in hardware or software.

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.

IBM Cloud®, Mass Data Migration uses 120 TB storage capacity to speed up data migration to the cloud. It also overcomes common transfer challenges such as long transfer times, high costs, and security concerns. All this in one service. You can migrate up 120 TB (at RAID-6) of data using one IBM Cloud Mass Data Migration device in days. This is in contrast to traditional data-transfer methods that can take weeks or months. You can request one or more devices depending on how large your data needs are. Large data sets can be costly and time-consuming to move. For only 50 USD per day, you can use an IBM Cloud Mass Data Migration device at home. IBM will send you a pre-configured device that you can use to connect, ingest data, and then ship it back to IBM to offload into IBM Cloud Object Storage. After the device is offloaded, you can immediately access your data in the cloud while IBM secure wipes it.

Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.

Apache Avro™, a data serialization software, is available. Avro offers rich data structures, a compact and fast binary data format, a container, to store persistent information, remote procedure calls (RPC), and more. It also allows for easy integration with dynamic languages. It is not necessary to generate code to read and write data files or to implement RPC protocols. Only statically typed languages can use code generation. Schemas are essential for Avro. The schema used to write Avro data is always available when Avro data are read. This allows each datum to be written quickly and without any per-value overheads. This allows for dynamic, scripting languages to be used. Data, along with its schema, are fully self-describing. If Avro data is saved in a file, the schema is also stored with it. This allows programs to later process files. This can be resolved if the program reading the data expects something different.

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.

To allow users to access multiple data sources through the same connection, create federated source names. The web-based administrative console simplifies user access, privileges, and authorizations. Data quality functions like parsing, match-code generation, and other tasks can be applied to the view. Performance is improved with in-memory scheduling and data caches. Secure information with data masking and encryption Allows you to keep application queries current and accessible to users and reduces load on operational systems. You can define access permissions for users or groups at the catalog, schema table, column, row, and table levels. Advanced data masking capabilities and encryption capabilities allow you to determine who has access to your data. You can also define what they see at a very fine level. This helps to ensure that sensitive data does not fall into the wrong hands.

Only Data Observability platform that allows complete control over enterprise data systems. Comprehensive, cross-sectional visibility of complex, interconnected data systems. Synthesizes signals across workloads and data quality, security, infrastructure, and security. Data processing and operational efficiency are improved. Automates data quality monitoring from start to finish for rapidly changing and mutable datasets. Acceldata offers a single window to identify, predict, and fix data problems. Complete data issues can be fixed in real-time. You can observe the flow of business data from one pane of glass. Find anomalies in interconnected data pipelines.

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.

Automate the automatic coverage of thousands of tables using ML-based anomaly detection. 50+ custom metrics are also available. Monitoring of metadata and data. Comprehensive mapping of all dependencies between assets from ingestion to reporting. Collaboration between data consumers and data engineers is enhanced and productivity is increased. Sifflet integrates seamlessly with your data sources and preferred tools. It can run on AWS and Google Cloud Platform as well as Microsoft Azure. Keep an eye on your data's health and notify the team if quality criteria are not being met. In a matter of seconds, you can set up the basic coverage of all your tables. You can set the frequency, criticality, and even custom notifications. Use ML-based rules for any anomaly in your data. There is no need to create a new configuration. Each rule is unique because it learns from historical data as well as user feedback. A library of 50+ templates can be used to complement the automated rules.