Best Data Management Software for Oracle Cloud Infrastructure

DbVisualizer is one of the world’s most popular database clients. Developers, analysts, and DBAs use it to advance their SQL experience with modern tools to visualize and manage their databases, schemas, objects, and table data and to auto-generate, write and optimize queries. It has extended support for 30+ of the major databases and has basic-level support for all databases that can be accessed with a JDBC driver. DbVisualizer runs on all major OSes. Free and Pro versions are available.

DataBahn is an advanced platform that harnesses the power of AI to manage data pipelines and enhance security, streamlining the processes of data collection, integration, and optimization from a variety of sources to various destinations. Boasting a robust array of over 400 connectors, it simplifies the onboarding process and boosts the efficiency of data flow significantly. The platform automates data collection and ingestion, allowing for smooth integration, even when dealing with disparate security tools. Moreover, it optimizes costs related to SIEM and data storage through intelligent, rule-based filtering, which directs less critical data to more affordable storage options. It also ensures real-time visibility and insights by utilizing telemetry health alerts and implementing failover handling, which guarantees the integrity and completeness of data collection. Comprehensive data governance is further supported by AI-driven tagging, automated quarantining of sensitive information, and mechanisms in place to prevent vendor lock-in. In addition, DataBahn's adaptability allows organizations to stay agile and responsive to evolving data management needs.

A powerful iPaaS platform for integration and business process automation. Linx is a powerful integration platform (iPaaS) that enables organizations to connect all their data sources, systems, and applications. The platform is known for its programming-like flexibility and the resulting ability to handle complex integrations at scale. It is a popular choice for growing businesses looking to embrace a unified integration strategy.

ScaleGrid is a fully managed Database-as-a-Service (DBaaS) platform that helps you automate your time-consuming database administration tasks both in the cloud and on-premises. ScaleGrid makes it easy to provision, monitor, backup, and scale open-source databases. It offers advanced security, high availability, query analysis, and troubleshooting support to improve your deployments' performance. The following databases are supported: - MySQL - PostgreSQL - Redis™. - MongoDB®, database - Greenplum™ (coming soon) ScaleGrid supports both public and privately-owned clouds such as AWS, Azure and Google Cloud Platform (GCP), DigitalOcean and Linode, Oracle Cloud Infrastructure, (OCI), VMware, and OpenStack. ScaleGrid is used by thousands of developers, startups, as well as enterprise customers such as Accenture, Meteor and Atlassian. It handles all your database operations at any scale, so you can concentrate on your application performance.

Faddom provides real-time application dependency mapping without requiring credentials, agents, or system access. It delivers full visibility into hybrid IT environments, showing how servers, applications, and network flows interact. With zero disruption, Faddom helps IT teams plan migrations, document infrastructure, improve incident response, and strengthen cybersecurity. Maps are created within an hour and continuously updated, giving teams confidence and control. Whether for audits, change planning, or modernization efforts, Faddom offers fast, secure insights that reduce risk and improve decision-making.

SingleStore, previously known as MemSQL, is a highly scalable and distributed SQL database that can operate in any environment. It is designed to provide exceptional performance for both transactional and analytical tasks while utilizing well-known relational models. This database supports continuous data ingestion, enabling operational analytics critical for frontline business activities. With the capacity to handle millions of events each second, SingleStore ensures ACID transactions and allows for the simultaneous analysis of vast amounts of data across various formats, including relational SQL, JSON, geospatial, and full-text search. It excels in data ingestion performance at scale and incorporates built-in batch loading alongside real-time data pipelines. Leveraging ANSI SQL, SingleStore offers rapid query responses for both current and historical data, facilitating ad hoc analysis through business intelligence tools. Additionally, it empowers users to execute machine learning algorithms for immediate scoring and conduct geoanalytic queries in real-time, thereby enhancing decision-making processes. Furthermore, its versatility makes it a strong choice for organizations looking to derive insights from diverse data types efficiently.

Integrate data within a business framework to enable users to derive insights through our comprehensive data and analytics cloud platform. The SAP Data Warehouse Cloud merges analytics and data within a cloud environment that features data integration, databases, data warehousing, and analytical tools, facilitating the emergence of a data-driven organization. Utilizing the SAP HANA Cloud database, this software-as-a-service (SaaS) solution enhances your comprehension of business data, allowing for informed decision-making based on up-to-the-minute information. Seamlessly connect data from various multi-cloud and on-premises sources in real-time while ensuring the preservation of relevant business context. Gain insights from real-time data and conduct analyses at lightning speed, made possible by the capabilities of SAP HANA Cloud. Equip all users with the self-service functionality to connect, model, visualize, and securely share their data in an IT-governed setting. Additionally, take advantage of pre-built industry and line-of-business content, templates, and data models to further streamline your analytics process. This holistic approach not only fosters collaboration but also enhances productivity across your organization.

Oracle SQL Developer is a versatile, free development environment designed to streamline the processes of developing and managing Oracle Database, whether in traditional settings or on the Cloud. It provides comprehensive support for the complete lifecycle of PL/SQL application development, includes a worksheet for executing queries and scripts, and features a DBA console for efficient database management. Additionally, it offers a reporting interface, an extensive data modeling solution, and a platform for migrating third-party databases to Oracle. You can execute SQL commands and scripts, manage user accounts, create and modify database objects, import data into new or existing tables, troubleshoot performance issues, visualize your database schemas, and much more. It encapsulates the capabilities of a robust desktop tool within your web browser. Furthermore, with Oracle REST Data Services, users can also access their on-premises database instances seamlessly, and the platform facilitates the migration from Oracle On-Premises to Oracle Cloud effortlessly, allowing for easy interaction and management of database content. This tool enhances productivity by making database management and development accessible at any time, from virtually anywhere.

BiCXO serves as an Assisted Business Intelligence Solution, operating as an in-house Management Information System (MIS). This fully automated BI platform enables users to effortlessly monitor their financials, operational metrics, and data visualizations with just a click. It imposes no limits on the number of users or reports generated, ensuring that all outputs are tailored specifically to meet the unique needs of the organization. The system aggregates data from various sources and delivers it in real-time, allowing users to access integrated information from a single point. Additionally, BiCXO is designed to be responsive across all devices and features a secure login system. Moreover, BiCXO offers the support of experts who assist in implementing a robust reporting and analysis framework that aligns with your specific business goals, all provided for a monthly fixed fee without any initial investment required. This comprehensive approach not only streamlines data management but also empowers organizations to make informed decisions swiftly.

Zoho DataPrep is an advanced self-service data preparation software that helps organizations prepare data by allowing import from a variety of sources, automatically identifying errors, discovering data patterns, transforming and enriching data and scheduling export all without the need for coding.

IRI DarkShield uses several search techniques to find, and multiple data masking functions to de-identify, sensitive data in semi- and unstructured data sources enterprise-wide. You can use the search results to provide, remove, or fix PII simultaneously or separately to comply with GDPR data portability and erasure provisions. DarkShield jobs are configured, logged, and run from IRI Workbench or a restful RPC (web services) API to encrypt, redact, blur, etc., the PII it discovers in: * NoSQL & RDBs * PDFs * Parquet * JSON, XML & CSV * Excel & Word * BMP, DICOM, GIF, JPG & TIFF using pattern or dictionary matches, fuzzy search, named entity recognition, path filters, or image area bounding boxes. DarkShield search data can display in its own interactive dashboard, or in SIEM software analytic and visualization platforms like Datadog or Splunk ES. A Splunk Adaptive Response Framework or Phantom Playbook can also act on it. IRI DarkShield is a breakthrough in unstructured data hiding technology, speed, usability and affordability. DarkShield consolidates, multi-threads, the search, extraction and remediation of PII in multiple formats and folders on your network and in the cloud, on Windows, Linux, and macOS.

Transform your clients into success narratives with integrated intelligence that includes advanced analytics, intuitive dashboards, and beyond. Bold BI is meticulously crafted as an embedded platform, ensuring that there are no trade-offs or shortcuts in its functionality. Traditional requirements, such as the need to consolidate all your data into a specific data store or cube, can complicate your application unnecessarily in today’s environment. Some solutions necessitate the creation of intricate systems for data integration while also ensuring that the embedded BI data store remains aligned with your data sources. However, with Bold BI, you can seamlessly connect to a multitude of data sources as well as any data warehouse that suits your needs. Choose single-tenant mode for a shared data model or opt for multi-tenant mode to keep a unified source for dashboards while distributing them across various tenants. Bold BI is built to handle both conventional and unique situations effortlessly. You can embed Bold BI directly within your application code through its robust JavaScript APIs, making it a versatile choice for developers. This flexibility ensures that whatever your data requirements may be, Bold BI is equipped to meet them effectively.

A platform for data management powered by AI that allows data democratization. Insights drives innovation by integrating and centralizing all data sources, facilitating collaboration, and empowering organizations for innovation. SCIKIQ, a holistic business platform, simplifies the data complexities of business users through a drag-and-drop user interface. This allows businesses to concentrate on driving value out of data, allowing them to grow and make better decisions. You can connect any data source and use box integration to ingest both structured and unstructured data. Built for business users, easy to use, no-code platform, drag and drop data management. Self-learning platform. Cloud agnostic, environment agnostic. You can build on top of any data environment. The SCIKIQ architecture was specifically designed to address the complex hybrid data landscape.

data.world is a cloud-native service meticulously designed for contemporary data architectures, ensuring seamless management of updates, migrations, and ongoing maintenance. This streamlined setup process is complemented by a vast and expanding ecosystem of pre-built integrations with all major cloud data warehouses. When prompt results are essential, your team should concentrate on addressing genuine business challenges rather than grappling with cumbersome data management software. data.world simplifies the process for all users, not just data experts, enabling them to obtain clear, precise, and prompt answers to various business inquiries. Our platform features a cloud-based data catalog that connects isolated and distributed data to well-known business concepts, fostering a cohesive knowledge base that everyone can access, comprehend, and utilize. Furthermore, beyond our enterprise solutions, data.world hosts the largest collaborative open data community globally, where individuals collaborate on diverse projects ranging from social bot detection to acclaimed data journalism initiatives, promoting innovation and shared learning. This unique environment encourages knowledge sharing and empowers users to leverage data in creative and impactful ways.

Erwin Data Intelligence (erwin DI) integrates data cataloging and data literacy functions to enhance awareness and accessibility of data assets while providing guidance for their usage and establishing safeguards to uphold data policies and best practices. It automatically gathers, transforms, and compiles metadata from a diverse range of data sources, business applications, operational processes, and data models into a centralized catalog. This catalog is then rendered accessible and comprehensible through role-specific, contextual views, empowering stakeholders to make informed strategic decisions based on reliable insights. Furthermore, erwin DI promotes enterprise data governance and supports digital transformation initiatives, alongside any endeavors that depend on data for successful results. It allows for the scheduling of regular metadata scans from a wide variety of data sources, simplifying the mapping of data elements from their origin to their destination, including data in transit, while facilitating seamless data integration across different platforms. In addition, it enables data consumers to identify and explore data that is pertinent to their specific roles, thereby enhancing overall data engagement within the organization. Ultimately, erwin DI serves as a powerful tool for maximizing the value derived from data assets.

Bipp's cloud BI platform, built on the innovative bippLang data modeling language, was crafted specifically for SQL and data analysts from its inception. It enhances productivity for teams, equipping businesses to make quicker and more informed decisions. The bippLang data modeling language simplifies SQL queries by enabling the creation of reusable, intricate data models that incorporate custom columns and dynamic sub-queries. With Git-based version control, analysts can work collaboratively, ensuring that all data models and SQL queries are consistently backed up. The always-free version provides access to a robust BI platform with professional support at no charge. In-database analytics eliminates the need to transfer data to another system, accelerating access and yielding real-time results. The auto-SQL generator intelligently utilizes defined joins in the data model to determine which tables to combine and dynamically generates sub-queries based on the context. Furthermore, the single source of truth data models guarantee that every individual in the organization relies on identical data for their business decisions, fostering consistency and reliability across the board. This comprehensive approach not only enhances collaboration but also solidifies the foundation for smarter strategic planning.

Tableau Prep revolutionizes traditional data preparation within organizations by offering an intuitive visual interface for data merging, shaping, and cleansing, enabling analysts and business users to initiate their analysis more swiftly. It consists of two key products: Tableau Prep Builder, designed for creating data flows, and Tableau Prep Conductor, which facilitates the scheduling, monitoring, and management of those flows throughout the organization. Users can leverage three different views to examine row-level details, column profiles, and the overall data preparation workflow, allowing them to choose the most appropriate view based on their specific tasks. Editing a value is as simple as selecting it and making changes directly, while modifications to join types yield immediate results, ensuring real-time feedback even with extensive datasets. Every action taken allows for instant visualization of data changes, regardless of the volume, and Tableau Prep Builder empowers users to reorder steps and experiment freely without risk. This flexibility fosters a more dynamic data preparation process, encouraging innovation and efficiency in data handling.

IRI FieldShield® is a powerful and affordable data discovery and de-identification package for masking PII, PHI, PAN and other sensitive data in structured and semi-structured sources. Front-ended in a free Eclipse-based design environment, FieldShield jobs classify, profile, scan, and de-identify data at rest (static masking). Use the FieldShield SDK or proxy-based application to secure data in motion (dynamic data masking). The usual method for masking RDB and other flat files (CSV, Excel, LDIF, COBOL, etc.) is to classify it centrally, search for it globally, and automatically mask it in a consistent way using encryption, pseudonymization, redaction or other functions to preserve realism and referential integrity in production or test environments. Use FieldShield to make test data, nullify breaches, or comply with GDPR. HIPAA. PCI, PDPA, PCI-DSS and other laws. Audit through machine- and human-readable search reports, job logs and re-ID risks scores. Optionally mask data when you map it; FieldShield functions can also run in IRI Voracity ETL and federation, migration, replication, subsetting, and analytic jobs. To mask DB clones run FieldShield in Windocks, Actifio or Commvault. Call it from CI/CD pipelines and apps.

IBM Cloud Pak for Integration® serves as a comprehensive hybrid integration platform that employs an automated, closed-loop strategy to facilitate various integration styles within a cohesive interface. It allows businesses to unlock their data and assets as APIs, seamlessly connect cloud and on-premises applications, and ensure reliable data movement through enterprise messaging systems. Additionally, it enables real-time event interactions, facilitates cross-cloud data transfers, and allows for scalable deployment using cloud-native architecture alongside shared foundational services, all while maintaining robust enterprise-grade security and encryption. By leveraging this platform, organizations can optimize their integration processes using a multi-faceted approach that is both automated and efficient. Moreover, innovations such as natural language-driven integration flows, AI-enhanced mapping, and robotic process automation (RPA) can be implemented to further streamline integrations and utilize specific operational data for ongoing enhancements, including improved API test generation and workload management. Ultimately, this comprehensive suite empowers businesses to achieve superior integration outcomes and adapt to evolving demands effectively.

Experience an advanced, fully managed service for data discovery and metadata management that scales efficiently. New customers can enjoy $300 in complimentary credits for Google Cloud services during their Free Trial period. All users receive up to 1 MiB of free storage for business or ingested metadata and can make 1 million API calls at no cost. Utilize an intuitive yet robust faceted-search interface to locate your data with ease. Automatically synchronize technical metadata while generating organized tags for business-related metadata. Ensure the protection of sensitive information with automatic tagging through integration with Cloud Data Loss Prevention (DLP). Gain immediate access and easily scale your operations without the need for infrastructure setup or maintenance. Enable any team member to discover or tag data using a user-friendly interface, powered by the same search technology as Gmail, or through API access. With Data Catalog being fully managed, you can effortlessly initiate and expand your usage. Uphold data security measures and adhere to compliance requirements with the help of Cloud IAM and Cloud DLP integrations, ensuring a solid foundation for your data management needs. This service not only simplifies data handling but also enhances collaboration and efficiency across your organization.

Transform the chaos of data into meaningful value through the power of data intelligence. By connecting, discovering, enriching, and orchestrating fragmented data resources, organizations can derive actionable insights that drive business success on an enterprise level. SAP Data Intelligence serves as a holistic solution for data management. Acting as the orchestration layer for SAP’s Business Technology Platform, it converts scattered data landscapes into essential insights that foster large-scale innovation. Empower your users with intelligent, relevant, and contextual insights through seamless integration across the entire IT ecosystem. Effectively manage and orchestrate vast volumes of data and streams to enhance operational efficiency. Additionally, streamline processes, operationalize machine learning-driven innovations, and establish robust governance frameworks to mitigate compliance risks with comprehensive metadata management strategies. As data continues to evolve, maintaining a clear focus on actionable insights will be crucial for sustaining enterprise growth.

Navicat Data Modeler is an efficient and budget-friendly tool for database design that enables users to create high-quality conceptual, logical, and physical data models. It provides a visual interface for designing database structures, facilitates both reverse and forward engineering, allows for the importation of models from ODBC data sources, and can generate intricate SQL/DDL statements while offering the ability to print models. This tool simplifies the process of developing complex entity relationship models, enabling users to generate SQL scripts with just a click. Supporting a variety of database systems such as MySQL, MariaDB, Oracle, SQL Server, PostgreSQL, and SQLite, it allows for the creation, modification, and design of models through professional object designers tailored for Tables and Views. Users can manage their tasks effectively without the need to write intricate SQL for object creation and editing, providing clarity on their work. Furthermore, Navicat Data Modeler accommodates three standard notations, including Crow’s Foot, IDEF1x, and UML, making it versatile for different design preferences. With its comprehensive features, it stands out as an indispensable tool for both novice and experienced database designers.

Effortlessly extract, transform, and load (ETL) data for analytics and data science applications. Create seamless, code-free data flows directed towards data lakes and data marts. This functionality is included within Oracle’s extensive suite of integration tools. The user-friendly interface allows for easy configuration of integration parameters and automates the mapping of data between various sources and targets. You can utilize pre-built operators like joins, aggregates, or expressions to effectively manipulate your data. Central management of your processes enables the use of parameters to adjust specific configuration settings during runtime. Users can actively prepare their datasets and observe transformation results in real-time for process validation. Enhance your productivity and adjust data flows instantly, without needing to wait for execution completion. Additionally, this solution helps prevent broken integration flows and minimizes maintenance challenges as data schemas change over time, ensuring a smooth data management experience. This capability empowers users to focus on gaining insights from their data rather than grappling with technical difficulties.

Uncover, record, and oversee your metadata effectively. Dataedo features a range of automated metadata scanners designed to interface with different database technologies, where they extract data structures and metadata to populate your metadata repository. With just a few clicks, you can create a comprehensive catalog of your data while detailing each component. Clarify table and column names with user-friendly aliases, and enrich your understanding of data assets by adding descriptions and custom fields defined by users. Leverage sample data to gain insights into the contents of your data assets, allowing you to grasp the information better prior to utilization and ensuring its quality. Maintain high data standards through data profiling techniques. Facilitate widespread access to data knowledge across your organization. Enhance data literacy, democratize data access, and empower all members of your organization to leverage data more effectively with a simple on-premises data catalog solution. Strengthening data literacy through a well-structured data catalog will ultimately lead to improved decision-making processes.

Sedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos.