Alternatives to Oracle Big Data SQL Cloud Service

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.

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.

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.

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.

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.

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.

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.

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.

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.

Oracle Big Data Preparation Cloud Service (PaaS), is a cloud-based managed Platform as a Service (PaaS). It allows you to quickly ingest, repair and enrich large data sets in an interactive environment. For down-stream analysis, you can integrate your data to other Oracle Cloud Services such as Oracle Business Intelligence Cloud Service. Oracle Big Data Preparation Cloud Service has important features such as visualizations and profile metrics. Visual access to profile results and summary for each column are available when a data set has been ingested. You also have visual access the duplicate entity analysis results on the entire data set. You can visualize governance tasks on the service homepage with easily understandable runtime metrics, data quality reports and alerts. Track your transforms to ensure that files are being processed correctly. The entire data pipeline is visible, from ingestion through enrichment and publishing.

Oracle database products offer customers cost-optimized, high-performance versions Oracle Database, the world's most popular converged, multi-model database management software. They also include in-memory NoSQL and MySQL databases. Oracle Autonomous Database is available on-premises via Oracle Cloud@Customer and in the Oracle Cloud Infrastructure. It allows customers to simplify relational databases environments and reduce management burdens. Oracle Autonomous Database reduces the complexity of operating and protecting Oracle Database, while delivering the highest levels performance, scalability and availability to customers. Oracle Database can also be deployed on-premises if customers have network latency and data residency concerns. Customers who depend on Oracle database versions for their applications have full control over which versions they use and when they change.

Impala offers low latency, high concurrency, and a wide range of storage options, including Iceberg and open data formats. Impala scales linearly in multitenant environments. Impala integrates native Hadoop security, Kerberos authentication, and the Ranger module to ensure that the correct users and applications have access to the right data. Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment, with no redundant infrastructure or data conversion/duplication. Impala uses the same metadata driver and ODBC driver as Apache Hive. Impala, like Hive, supports SQL. You don't need to reinvent the wheel. Impala allows more users to interact with data, whether they are using SQL queries or BI apps, through a single repository. Metadata is also stored from the source of the data until it has been analyzed.

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.

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.

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.

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.

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.

DBHawk enabled our customers to comply with GDPR and HIPAA, SOX and GLBA regulations. Self-Service BI & Adhoc Reporting Tool that allows you to set Data Access Policy, connect to multiple data sources, create powerful SQL charts, and dashboards. DBHawk SQL editor allows users to create, edit, and run SQL queries via a web-based interface. DBHawk Query Maker is compatible with all major databases, including Oracle, Microsoft SQL Server and PostgreSQL. A web-based central tool allows you to automate SQL tasks and batch jobs. Our all-in-one data platform provides secure access to SQL, NoSQL, and Cloud databases. Our customers trust us to protect their data and allow them to access it. Centralized Security, Auditing, and insights into your user's activities.

Webair provides Database-as-a-Service (DBaaS), a reliable and secure database management solution that gives your business simple, efficient and always available access to its mission-critical data. Our team has extensive experience in managing the configuration, administration, and optimization of database clusters. This includes business-critical, load-balanced, replicated, and distributed MySQL clusters. Webair's Database Administrators can help you create a high-performance environment for your database. We work closely with you to create the best solution. We match the best infrastructure to the most appropriate database configuration to meet your specific requirements. Your business can be freed from routine database tasks like performance monitoring, configuration, memory and storage, log file management, sizing and service pack upgrades, and patching. You can focus on the more important aspects of your business, such as managing critical data within your database.

Tabular is a table store that allows you to create an open table. It was created by the Apache Iceberg creators. Connect multiple computing frameworks and engines. Reduce query time and costs up to 50%. Centralize enforcement of RBAC policies. Connect any query engine, framework, or tool, including Athena BigQuery, Snowflake Databricks Trino Spark Python, Snowflake Redshift, Snowflake Databricks and Redshift. Smart compaction, data clustering and other automated services reduce storage costs by up to 50% and query times. Unify data access in the database or table. RBAC controls are easy to manage, enforce consistently, and audit. Centralize your security at the table. Tabular is easy-to-use and has RBAC, high-powered performance, and high ingestion under the hood. Tabular allows you to choose from multiple "best-of-breed" compute engines, based on their strengths. Assign privileges to the data warehouse database or table level.

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.

QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed

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.

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.

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.

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.

Google Cloud Bigtable provides a fully managed, scalable NoSQL data service that can handle large operational and analytical workloads. Cloud Bigtable is fast and performant. It's the storage engine that grows with your data, from your first gigabyte up to a petabyte-scale for low latency applications and high-throughput data analysis. Seamless scaling and replicating: You can start with one cluster node and scale up to hundreds of nodes to support peak demand. Replication adds high availability and workload isolation to live-serving apps. Integrated and simple: Fully managed service that easily integrates with big data tools such as Dataflow, Hadoop, and Dataproc. Development teams will find it easy to get started with the support for the open-source HBase API standard.

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.

Invantive's free Query Tool gives you real-time Operational Intelligence across your entire enterprise. The free Query Tool gives you access to your real time data warehouse and databases that are running on MySQL, Oracle or SQL Server. This allows you to quickly store, organize, and locate operational data. Invantive Producer offers an optional repository that allows you to transfer data from multiple sources. You will be able extract and analyze operational data, such as service operations, software development, and project execution. You can run SQL and Oracle PL/SQL queries programs with the Invantive Query tool to gain real-time insights into your business operations. You will be able execute complex queries to monitor all of your operational activities, check for compliance with business rules, identify threats, and make the right decision.

Multi-platform database tool that is free for database administrators, analysts, developers, and anyone who needs to work with databases. All popular databases supported: MySQL, PostgreSQL SQLite, Oracle and SQLite. The format configuration editor was also added. Extra configuration for filter dialog (performance). For small fetch sizes, sort by column as fixed. Support for case-insensitive filters was added. Plaintext view now supports top/bottom dividers. Data editor was updated to fix conflicts between column names and alias names. Multiple rows were fixed by the Duplicate Row(s) command. The context menu was restored to the Edit sub-menu. Columns were auto-sized. Dictionary viewer was updated (for read-only connections). Configurable support for current/selected row highlighting was added

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.

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.

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.

DbSchema allows you to visual design the schema in a group, deploy it and then document it. DbSchema also includes integrated features such as data explorer, visual query editor and data generator. This makes it an all-purpose tool for anyone who works with databases. DbSchema is compatible with all No-SQL and relational databases, including MySQL and PostgreSQL. It also supports SQLite, Microsoft SQL Server and MongoDB. MariaDB, Redshift. Snowflake. Google, and many others. DbSchema reverse-engineers the database schema and visualizes it as diagrams. Diagrams and visual tools will be used to interact with the database. DbSchema model uses its own copy of the schema structure, independent of the database. This allows you to deploy the schema on multiple databases. You can save the design model to file and store it in GIT. Then, design the schema with a team.

The fastest NoSQL database in the world. The fastest NoSQL database available, capable of millions IOPS per node with less than 1 millisecond latency. This database will accelerate your application performance. Scylla, a drop-in Apache Cassandra and Amazon DynamoDB alternative, powers your applications with extreme throughput and ultra-low latency. To power modern, high-performance applications, we used the best features of high availability databases to create a NoSQL database that is significantly more efficient, fault-tolerant, and resource-efficient. This high-availability database is built from scratch in C++ for Linux. Scylla unleashes your infrastructure's true potential for running high-throughput/low-latency workloads.

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.

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.

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.

Trino is an engine that runs at incredible speeds. Fast-distributed SQL engine for big data analytics. Helps you explore the data universe. Trino is an extremely parallel and distributed query-engine, which is built from scratch for efficient, low latency analytics. Trino is used by the largest organizations to query data lakes with exabytes of data and massive data warehouses. Supports a wide range of use cases including interactive ad-hoc analysis, large batch queries that take hours to complete, and high volume apps that execute sub-second queries. Trino is a ANSI SQL query engine that works with BI Tools such as R Tableau Power BI Superset and many others. You can natively search data in Hadoop S3, Cassandra MySQL and many other systems without having to use complex, slow and error-prone copying processes. Access data from multiple systems in a single query.

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.

HeatWave, a massively parallel and high-performance, in-memory query accelerator, for Oracle MySQL Database Service, accelerates MySQL performance by orders for analytics and mixed workloads. HeatWave is 6.5X faster that Amazon Redshift at half-the cost, 7X faster then Snowflake at one fifth the cost, and 1400X quicker than Amazon Aurora at half-the cost. MySQL Database Service with HeatWave allows customers to run OLTP or OLAP workloads directly in their MySQL database. This eliminates the need to move and integrate complex, time-consuming and expensive data with separate analytics databases. The new MySQL Autopilot uses machine-learning techniques to automate HeatWave. This makes it easier to use and further increases performance and scalability. HeatWave has been optimized for Oracle Cloud Infrastructure (OCI).

Amazon SimpleDB is a high-availability NoSQL data store that offloads database administration. Developers can simply store and query data items using web services requests, and Amazon SimpleDB takes care of the rest. Amazon SimpleDB is not bound by the requirements of a relational data base. It is optimized to provide high availability, flexibility and minimal administrative burden. Amazon SimpleDB automatically creates and manages multiple copies of your data in different locations to ensure high availability and data durability. You only pay for the actual resources used to store your data and serve your requests. You can modify your data model at any time, and data is automatically index for you. Amazon SimpleDB allows you to focus on application development and not worry about infrastructure provisioning, high availability or software maintenance.

We'll handle all database maintenance for you: software backups and monitoring, fault tolerance and updates. ClickHouse can handle large amounts of data quickly and efficiently, while column-based data storage is space-saving due to its strong data compression. All DBMS connections use the TLS protocol. Data is protected in accordance with local regulatory requirements, GDPR and ISO industry standards. You can visualize the data structure of your ClickHouse cluster, and you can send SQL queries directly from the management console. The service provides data replication among database hosts (both within and between availability zone) and switches over automatically to a backup copy in the event of failure.

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.

All major DBMSs (SQL server, Azure SQL Database and Oracle Database, Sybase ASE, IQ, Db2 LUW, and z/OS) can be managed from a single interface. It reduces training time and facilitates collaboration between different teams within the organization. Multiple Oracle-specific schema object types can be managed, as well as advanced SQL Server object properties like temporal tables, in memory tables, natively compiled triggers and procedures, and functions. Comprehensive tools allow you to manage space, data, and performance to keep your database's availability optimized. A built-in process monitor helps you manage the performance of your database. It shows who is connected to your database, as well as current activity and session-related information. Advanced diagnostics can help you identify performance inefficiencies, track key database metadata, and monitor performance metrics over time.

Apache Phoenix combines the best of both worlds to enable OLTP and operational analysis in Hadoop. This allows for low-latency Hadoop applications. HBase is used as the backing store for Apache Phoenix, which combines the power of SQL and JDBC with ACID transaction support and flexibility of late bound, schema-on read capabilities from the NoSQL realm. Apache Phoenix is fully compatible with other Hadoop tools such as Spark and Hive. It also integrates with Pig, Flume and Map Reduce. Become the trusted Hadoop data platform for OLTP, operational analytics and Hadoop via well-defined APIs. Apache Phoenix compiles your SQL query into a series HBase scans and orchestrates their running to produce regular JDBC results sets. Direct use of HBase API along with coprocessors, custom filters and other tools results in performance of milliseconds or seconds for small queries.

Xata is a combination relational database, analytics engine, and free-text search engine. It is a spreadsheet-like interface with a powerful data API that provides granular security, zero downtime migrations, subscriptions and ACID transactions. There is also caching and caching. When you aren't concerned about servers when you deploy your application, why should servers (or nodes or clusters) be worried about when you use a database service? Xata is the perfect companion to Serverless and Low-Code/Serverless development platforms because it offers a simple global RESTful API that allows you to insert, query, aggregate, and search. Xata lets you build your database schema iteratively while you add sample data. It is accessible via a spreadsheet-like UI. You can add columns, tables, and data to your database, as well as create queries and views. The code samples can then be used in your application. This allows you to be flexible as you develop your application and, as the application grows in complexity, the strict schema ensures that your data remains safe and correct.

Apache Sentry™, a system to enforce fine-grained role-based authorizations to data and metadata stored on Hadoop clusters, is called Apache Sentry. Apache Sentry successfully graduated from the Incubator on March 16, 2016 and is now a Top Level Apache project. Apache Sentry is a role-based, granular authorization module for Hadoop. Sentry allows you to set and enforce specific privilege levels on data for authenticated users on a Hadoop cluster. Sentry works with Apache Hive Metastore/HCatalog and Apache Solr. Sentry is a pluggable authorization engine that can be used with Hadoop components. It allows you to define authorization rules that validate access requests to Hadoop resources by users or applications. Sentry is modular and can support authorization for a wide range of data models in Hadoop.