Alternatives to Randtronics DPM Database Manager

Utilize Oracle Advanced Security to encrypt application tablespaces, thereby safeguarding sensitive data from unauthorized access. Implementing redaction policies helps curb the spread of sensitive information and enhances compliance with data protection laws. Transparent Data Encryption (TDE) acts as a barrier against potential attackers who might attempt to read sensitive data directly from storage by ensuring encryption of data at rest within the database. You can encrypt individual data columns, entire tablespaces, database exports, and backups for better control over access to sensitive information. Data Redaction works in conjunction with TDE to further mitigate the risk of unauthorized data exposure within applications by obscuring sensitive information before it exits the database. By allowing for partial or full redaction, it prevents extensive extraction of sensitive data into reports and spreadsheets. Additionally, encryption is carried out at the database kernel level, which removes the necessity for modifications to existing applications, thus streamlining the implementation process. Ultimately, these security measures work together to provide a robust framework for protecting sensitive data throughout its lifecycle.

It is a highly scalable, embedded SQL database that can be accessed from anywhere. It also includes commercial-grade data security, disaster recovery, change synchronization, and data security.

High-performance database security software Data-Centric. Compliance with SOX and HIPAA, GDPR and PCI DSS, as well as other privacy laws and standards. Hybrid and Multicloud Database Security Proxy on AWS Azure, Google, and On-Prem Active protection, discovery, and auditing of sensitive and PII data. Data Auditing allows for real-time monitoring of user actions and data changes to ensure compliance and increased visibility. Database Firewall, role-based and location-aware Data Access Control & Protection. Protect corporate databases in the cloud and on-prem from hostile, negligent actions. Secures sensitive data in testing and development environments; Encryption completely eliminates the possibility of reverse engineering the masked data. Production data can be hidden using real-time location and role-based data masking. Protects sensitive privacy data from being exposed even if production data is not physically altered.

The increasing risks to security and the rise of stringent privacy laws have necessitated a more cautious approach to handling sensitive information. Oracle Data Masking and Subsetting offers database users a solution to enhance security, streamline compliance efforts, and lower IT expenses by sanitizing production data copies for use in testing, development, and various other functions, while also allowing for the removal of superfluous data. This tool allows for the extraction, obfuscation, and sharing of both full copies and subsets of application data with partners, whether they are within or outside the organization. By doing so, it ensures the database's integrity remains intact, thus supporting the ongoing functionality of applications. Additionally, Application Data Modeling automatically identifies columns within Oracle Database tables that contain sensitive data through established discovery patterns, including national IDs, credit card details, and other forms of personally identifiable information. Furthermore, it can recognize and map parent-child relationships that are defined within the database structure, enhancing the overall data management process.

Data Safe serves as a comprehensive management hub for your Oracle Databases, enabling you to grasp the sensitivity levels of your data, analyze potential risks, and implement measures to mask sensitive information. It also facilitates the establishment and oversight of security protocols, user security evaluations, and user activity monitoring, while ensuring compliance with data protection regulations. Regardless of whether you're operating Oracle Autonomous Database, Oracle Database Cloud Service (including Exadata, virtual machines, or bare metal), or managing Oracle Databases within your own on-premises environment, Data Safe provides critical data security features that enhance your security posture and mitigate risks. Furthermore, it assists in assessing user risks by pinpointing crucial users, roles, and privileges, while allowing you to configure audit policies and gather user activity data to detect any anomalies. In addition, Data Safe aids in the identification of sensitive data, clarifying its locations, and minimizes risks associated with non-production data sets by effectively masking sensitive information. By leveraging these capabilities, organizations can foster a more secure data environment and maintain better control over their information assets.

Safeguard your file and database information from potential abuse while ensuring compliance with both industry standards and governmental regulations by utilizing this comprehensive suite of integrated encryption solutions. IBM Guardium Data Encryption offers a cohesive set of products that share a unified infrastructure. These scalable solutions incorporate encryption, tokenization, data masking, and key management features, essential for protecting and regulating access to databases, files, and containers across hybrid multicloud environments, thereby securing assets located in cloud, virtual, big data, and on-premises settings. By effectively encrypting file and database data through functionalities like tokenization, data masking, and key rotation, organizations can successfully navigate compliance with various regulations, including GDPR, CCPA, PCI DSS, and HIPAA. Moreover, the extensive capabilities of Guardium Data Encryption—including data access audit logging and comprehensive key management—further assist organizations in meeting critical compliance requirements, ensuring that sensitive data remains protected at all times. Ultimately, implementing such robust encryption measures not only enhances security but also builds trust among stakeholders.

Effective and secure database access is crucial for the success of enterprise applications, and ASNA DataGate® delivers precisely that. It seamlessly interfaces with both IBM i and MS SQL Server® databases, offering exceptional record-level access to these systems while ensuring high performance and robust security. By decoupling the database access layer from .NET applications, ASNA Visual RPG applications can easily connect to either IBM i DB2 or Microsoft SQL Server without the need for significant alterations to the underlying database access code. This flexibility facilitates a smoother retargeting process, which is particularly advantageous in scenarios involving the migration of RPG applications to the .NET framework. With ASNA DataGate, organizations can confidently adapt their applications to different database environments, significantly enhancing their operational efficiency and adaptability.

An advanced database security solution designed for scalability, this platform allows organizations to protect their relational databases and big data repositories, whether located on-site or in the cloud, thanks to its distributed architecture and robust analytics capabilities. Given that databases harbor sensitive and proprietary data, they often attract the attention of cybercriminals eager to exploit vulnerabilities for significant financial gain. Trustwave DbProtect empowers businesses to address resource constraints by identifying configuration mistakes, access control flaws, unpatched vulnerabilities, and other threats that might result in data breaches or misuse. With its user-friendly dashboard, users gain a comprehensive real-time overview of database assets, vulnerabilities, risk assessments, user permissions, anomalies, and incidents. Additionally, the platform offers the functionality to detect, notify, and implement corrective measures against suspicious behaviors, unauthorized access, and violations of policy, ensuring a more secure database environment. Overall, this solution not only safeguards data but also enhances an organization's overall security posture.

Establish federated source data identifiers to allow users to connect to various data sources seamlessly. Utilize a web-based administrative console to streamline the management of user access, privileges, and authorizations for easier oversight. Incorporate data quality enhancements such as match-code generation and parsing functions within the view to ensure high-quality data. Enhance performance through the use of in-memory data caches and efficient scheduling methods. Protect sensitive information with robust data masking and encryption techniques. This approach keeps application queries up-to-date and readily accessible to users while alleviating the burden on operational systems. You can set access permissions at multiple levels, including catalog, schema, table, column, and row, allowing for tailored security measures. The advanced capabilities for data masking and encryption provide the ability to control not just who can see your data but also the specific details they can access, thereby significantly reducing the risk of sensitive information being compromised. Ultimately, these features work together to create a secure and efficient data management environment.

DPM easyData serves as an advanced engine for data de-identification and spoofing, offering methods such as masking, tokenization, anonymization, pseudonymization, and encryption to safeguard sensitive information. Through its data spoofing techniques, the software effectively substitutes entire data sets or fragments with non-sensitive alternatives, generating fictitious data that serves as a robust protective measure. This solution is tailored for web and application server environments, enabling databases to anonymize and tokenize information while enforcing masking policies for users without proper authorization when accessing sensitive materials. DPM easyData stands out for its precise control, allowing administrators to specify which users are permitted to access certain protection measures and outlining the actions they can perform under these policies. Furthermore, its highly customizable framework accommodates a wide variety of data types, offering unparalleled flexibility in defining input and token formats to meet diverse security needs. This adaptability ensures that organizations can maintain stringent data protection standards while managing sensitive information effectively.

IRI CellShield®, protects sensitive information in Microsoft Excel®, allowing you to comply data privacy laws. You can protect your columns with reversible or non-reversible masking options. CellShield protects your data, no matter how many sheets they are. Multiple search methods are available to locate and report on PII across the LAN. Protect it all at once with CellShield. Intuitive graphical dialogs allow you to classify and mask it. CellShield's core technology uses the award-winning IRI FieldShield flat file and database data masking product. Data that is hidden in one platform can be seen in another. CellShield EE, the only fully-featured professional data discovery, masking and auditing package for Excel 2010, 2016, and 2019 (plus Office 365 workbooks) in your LAN, is available. CellShield EE goes beyond the security and scope a single password can provide by combining and automating all of these additional capabilities.

Delinea’s Database Access Controller empowers organizations to seamlessly integrate contemporary cloud databases from providers like AWS, Google, Azure, Oracle, and Redis while ensuring the enforcement of suitable access privileges, multi-factor authentication, thorough reporting, and auditing processes. It facilitates proxy connections via a unified portal and limits direct access to databases. The solution safeguards databases through multi-layered authentication, authorization, and detailed role-based access controls. Additionally, it offers time-sensitive access, comprehensive logs, and reports to trigger alerts and notifications effectively. With the ability to manage granular access to various databases such as Oracle, MySQL, PostgreSQL, MariaDB, MongoDB, Redis, AWS RDS, and Google DB, both on-premise and in the cloud, organizations can maintain oversight. Users can monitor who accesses the databases and manage their access through features like multi-factor authentication (MFA) and activity logging, enhancing overall database security. Ultimately, this system is designed to secure database access and protect invaluable organizational data from unauthorized use.

Trellix Database Security safeguards sensitive information within databases, preventing both accidental leaks and deliberate breaches while ensuring robust security, enhancing performance, and controlling access. It uncovers sensitive and proprietary data throughout the entire database environment. By blocking unauthorized access, it enhances regulatory compliance and protects critical information. Vulnerabilities are swiftly addressed with minimal disruption, allowing for quick responses to potential threats. The system continually monitors, logs, and regulates database access while simultaneously identifying and neutralizing potential risks before they can inflict damage. Automated scans facilitate the detection of supported databases and their sensitive contents, enabling organizations to efficiently prioritize and address known vulnerabilities with comprehensive remediation recommendations. Moreover, it provides protection against both recognized and emerging vulnerabilities without causing downtime, effectively preventing intrusions and other exploits from affecting the overall environment. In this way, businesses can maintain operational integrity and trust in their data management practices.

Privacy1 infrastructure brings transparency, safeguards GDPR | CCPA compliance, builds trust for your business. The solution shields your data centric organizations, lower data leak risks, ensures that no personal data is processed except with the right permission. The service has built in rich features you need to meet data compliance requirements and enforce your organizational data security to the highest level

KS DB Merge Tools is an easy to use diff & merge tool for MySQL, MariaDB, Oracle Database, SQL Server, PostgreSQL, MS Access, SQLite and Cross-DBMS databases allowing to compare and sync both schema and data. Starting with a schema changes summary, results can be narrowed down to object lists of particular object type (table definitions, views, etc.), and then down to definition of particular object. Data changes can be retrieved as a high-level list of changes totals across all tables in the database, each total row count can be observed as a side-by-side list of rows for the given table, each changed row can be analyzed for changes in each column. Various diff results provide quick filters to show only new/changed/new+changed items (schema objects or table data rows), ability to select required changed items and generate scripts to apply these changes to the other side database. This script can be executed immediately or saved for future use.

MemberProtect is tailored for professional developers to seamlessly incorporate into secure digital platforms such as ACH, Online Banking, and wire transfer systems. It stands as the most reliable framework for user authentication, data encryption, and user management within the banking and credit union sectors today. Utilizing a roles and privileges model, it accommodates millions of users and organizations while offering highly detailed application security. Its robust encryption capabilities secure databases down to the column level and extend to encrypting email communications and flat files stored across your network. Additionally, it maintains comprehensive logging, capturing even unsuccessful data access attempts, which aids in safeguarding member information against hackers and unauthorized personnel, effectively surpassing the protective measures of firewalls, SSL, and operating systems. By utilizing MemberProtect, developers can establish secure connections with third-party APIs, ensuring extensive compatibility with any web-based system, including integration with LDAP services. This comprehensive approach not only enhances security but also empowers organizations to maintain trust and compliance in a rapidly evolving digital landscape.

Detect and address code and optimization challenges in real-time, mitigate data incidents before deployment, and oversee data-affecting code modifications comprehensively—from the operational database to the user interface dashboard. With automated, column-level data lineage tracing the journey from the operational database to the reporting layer, every dependency is meticulously examined. Foundational automates the enforcement of data contracts by scrutinizing each repository in both upstream and downstream directions, directly from the source code. Leverage Foundational to proactively uncover code and data-related issues, prevent potential problems, and establish necessary controls and guardrails. Moreover, implementing Foundational can be achieved in mere minutes without necessitating any alterations to the existing codebase, making it an efficient solution for organizations. This streamlined setup promotes quicker response times to data governance challenges.

Renowned startpoint security software products in the IRI Data Protector suite and IRI Voracity data management platform will: classify, find, and mask personally identifiable information (PII) and other "data at risk" in almost every enterprise data source and sillo today, on-premise or in the cloud. Each IRI data masking tool in the suite -- FieldShield, DarkShield or CellShield EE -- can help you comply (and prove compliance) with the CCPA, CIPSEA, FERPA, HIPAA/HITECH, PCI DSS, and SOC2 in the US, and international data privacy laws like the GDPR, KVKK, LGPD, LOPD, PDPA, PIPEDA and POPI. Co-located and compatible IRI tooling in Voracity, including IRI RowGen, can also synthesize test data from scratch, and produce referentially correct (and optionally masked) database subsets. IRI and its authorized partners around the world can help you implement fit-for-purpose compliance and breach mitigation solutions using these technologies if you need help. ​

SQL Compliance Manager allows database administrators to monitor, audit and alert on SQL Server user activity, as well as data changes. It is faster than its competitors and offers quick configuration of audit settings, a wide list of regulatory guideline templates and reports, before-and after data values for both regulatory and forensic data investigations, differentiating data access between regular users and privileged applications, easy specification and reporting on sensitive column access and changes, as well as extensive customization of audit settings for servers and databases.

DB-Gate provides IBM i users with innovative data access functionalities leveraging Open Database Connectivity (ODBC) and utilizing standard IBM i tools for seamless database-transparent access to external systems. With native SQL capabilities on the IBM i platform, users can connect to targeted files on both DB2 and non-DB2 databases without needing additional hardware or specialized software on the remote database side. This advancement simplifies access through interactive STRSQL and any conventional programming languages like RPG, Cobol, and C, making it more intuitive than ever before. Furthermore, DB-Gate has emerged as a comprehensive and effective alternative to OAM, the Oracle Access Manager, which has not received support since the IBM i version 7.3. As enterprises grow and their database needs become more complex, the necessity for accessing various databases from a central application server increases significantly. Traditional approaches to retrieving specific files from external databases on the IBM i often consume substantial time and resources, highlighting the importance of solutions like DB-Gate. Enhanced efficiency and reduced overhead are paramount in today’s data-driven landscape.

iSecurity AP-Journal serves to safeguard essential business data against both insider threats and external security breaches while also keeping managers informed about any alterations to information assets, thereby simplifying the IBM i journaling process. It meticulously records the details of activities—who did what, when, and which specific actions were taken. Unlike the standard IBM i journaling, it captures database access (READ operations) directly into journal receivers, making it a vital element for meeting compliance requirements. The solution actively monitors modifications to objects, application files, and their members, while also accommodating periodic structural changes in application files. It facilitates the observation of application files during such changes, and offers programmable routines tailored to specific field exits. Moreover, it provides real-time alerts for any changes in critical business data, with these notifications triggered by thresholds defined by users. In addition, it generates detailed reports that present all application modifications on a unified timeline and in multiple formats, ensuring comprehensive oversight of data integrity. This level of reporting not only enhances transparency but also aids in maintaining robust security protocols.

BladeLogic Database Automation offers a comprehensive solution for automating database management across multiple platforms, allowing database administrators to deploy, patch, upgrade, and maintain their databases in just a fraction of the typical provisioning time. This efficiency provides administrators with additional bandwidth to facilitate the launch of new applications. In the fast-paced digital landscape, the performance of innovative applications is heavily reliant on robust database management. Database administrators, who are highly skilled, often find that a significant portion of their time is dedicated to maintaining existing environments to ensure they are compliant and secure. With security threats increasingly targeting database vulnerabilities, IT teams face heightened pressure to stay updated with patches and compliance standards. Consequently, this leaves little opportunity for IT to enhance database configurations, optimize queries, or introduce new features for applications in a timely manner. As a result, the need for effective automation tools like BladeLogic becomes even more critical in navigating these challenges.

Automatically extract and visualize data lineage by mapping the flow of data from its origin to its destination. This comprehensive data lineage management solution gathers and assesses the lineage of critical data, illustrating the data flow and derivation rules from the source to the target. Understanding data lineage involves tracing the journey of data as it is processed, transformed, and utilized, thereby revealing the flow and derivation rules that govern it. The solution offers a multi-tier, column-level data lineage graph alongside a detailed list that tracks data progression from source to target. Users can drill down into data lineage at the business system, table, and column levels for a granular view. Additionally, it provides parsers for various environments to facilitate thorough analysis, including support for Big Data technologies. Utilizing our patented technology, the system conducts path-sensitive dynamic string analysis and data flow analysis within programs, enhancing the understanding of data movement. This capability ensures that organizations maintain a clear view of their data's journey, thereby fostering better data governance and compliance.

With DBHawk, clients have successfully adhered to various regulations, including GDPR, HIPAA, SOX, and GLBA, while also implementing Segregation of Duties (SOD). This self-service business intelligence and ad-hoc reporting tool offers the ability to establish data access policies, connect to a variety of data sources, and create dynamic SQL charts and data dashboards. The advanced SQL editor within DBHawk enables users to seamlessly construct, modify, and execute database queries via a user-friendly web interface. Additionally, the DBHawk Query Builder is compatible with all major databases, including Oracle, Microsoft SQL Server, PostgreSQL, Greenplum, MySQL, DB2, Amazon Redshift, Hive, and Amazon Athena. It serves as a web-based centralized tool for automating database SQL tasks and batch jobs, ensuring secure access to SQL, NoSQL, and cloud databases through a comprehensive data platform. Our customers trust DBHawk to safeguard and manage their data effectively, benefiting from centralized security, auditing, and insights into user activity. Furthermore, the platform's capabilities enable organizations to improve their analytical processes and make data-driven decisions with ease.

Introducing Scuba, a complimentary vulnerability scanner designed to reveal concealed security threats within enterprise databases. This tool allows users to conduct scans to identify vulnerabilities and misconfigurations, providing insight into potential risks to their databases. Furthermore, it offers actionable recommendations to address any issues detected. Scuba is compatible with various operating systems, including Windows, Mac, and both x32 and x64 versions of Linux, and boasts an extensive library of over 2,300 assessment tests tailored for prominent database systems such as Oracle, Microsoft SQL Server, SAP Sybase, IBM DB2, and MySQL. With Scuba, users can efficiently identify and evaluate security vulnerabilities and configuration deficiencies, including patch levels. Running a Scuba scan is straightforward and can be initiated from any compatible client, with an average scan duration of just 2-3 minutes, depending on the complexity of the database, the number of users and groups, as well as the network connection. Best of all, no prior installation or additional dependencies are necessary to get started.

Oracle Audit Vault and Database Firewall is designed to oversee both Oracle and non-Oracle database activities, aiming to identify and thwart potential security threats while enhancing compliance reporting by aggregating audit information from various sources including databases, operating systems, and directories. It can be utilized in either an on-premises setup or within the Oracle Cloud environment. Serving as a comprehensive Database Activity Monitoring (DAM) solution, AVDF merges inherent audit data with real-time SQL traffic capture over the network. This solution features a robust audit data warehouse, agents for collecting host-based audit data, and advanced tools for reporting and analysis, alongside an alert framework, an audit dashboard, and a multi-layered Database Firewall. A variety of pre-configured compliance reports streamline the process of generating customized and scheduled reports that adhere to regulations such as GDPR, PCI, GLBA, HIPAA, IRS 1075, SOX, and UK DPA. Additionally, its user-friendly interface allows organizations to tailor their compliance strategies effectively while ensuring robust security measures are in place.

Utilize SQL queries to extract data sets from your databases for comprehensive analysis. Employ tables and pivot tables to scrutinize these data sets, revealing fresh patterns and trends through your findings. Communicate your insights effectively by generating PDF reports or exporting your data to formats like Excel, HTML, and XML. Quickly gain actionable insights from your SQL data sets with ease and speed. You have the flexibility to sort, filter, group, and summarize your SQL data in any manner necessary, allowing for varied arrangements of columns based on your preferences. This capability not only aids in summarizing data but also helps in uncovering new information and insights. You can create multiple summaries for individual columns utilizing different functions, and present these in group headers, footers, or column footers. Additionally, you have the option to highlight exceptional values through customizable rules and formulas. Organize your data by sorting one or more columns in either ascending or descending order as needed, and apply filters to each column to display only the relevant information you wish to analyze. Ultimately, this approach facilitates a more tailored and insightful exploration of your data.

Blaze simplifies your experience with databases by efficiently generating SQL code, executing queries, and creating insightful graphs and dashboards to enhance AI-driven data analytics. By communicating your requirements, you can bypass 85% of conventional data tasks. With BlazeSQL for desktop, you can execute queries and visualize your datasets completely offline and securely, while Blaze AI retains meaningful context about your columns by incorporating user-provided documentation into its system. You can effortlessly input database details in mere seconds, connect seamlessly, or simply paste column names, allowing the AI to comprehend your database structure without accessing sensitive data; just execute the provided query to identify table names and column names, and Blaze will remember this information. This makes Blaze an ideal companion for managing SQL databases, as you can articulate your data needs in plain English, and Blaze will translate that into the necessary SQL code. Capable of producing intricate queries through advanced technology, Blaze continually enhances its performance over time, making it an invaluable asset for data analysis tasks. Additionally, its user-friendly interface ensures that even those with limited SQL experience can effectively utilize its features.

It has undergone extensive evaluation in actual business scenarios, proving its stability, strength, and efficiency while remaining highly adaptable for diverse applications. Each additional column incorporated into a table is instantly available for use in the table filters, and when it comes to references, filtering can be performed using any attribute from the related tables. Users have the flexibility to sort their records by any column, including those from reference tables, and can create multiple filters to achieve a desired hierarchical arrangement. Exporting data to formats such as XLS or CSV is straightforward, with options to either copy-paste or download a CSV file, and the system also supports importing from spreadsheets. InstaDB verifies the correctness of formats and ensures that any referenced records exist within the database, providing a preview of changes before any updates are finalized to prevent accidental modifications. Additionally, users can effortlessly show, hide, and rearrange the order of columns, and the Reset View button conveniently restores the default column structure whenever needed. This level of flexibility and user control enhances the overall experience, making data management more intuitive and efficient.

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.

Ensure the protection, storage, and stringent management of tokens, passwords, certificates, and encryption keys that are essential for safeguarding sensitive information, utilizing options like a user interface, command-line interface, or HTTP API. Strengthen applications and systems through machine identity while automating the processes of credential issuance, rotation, and additional tasks. Facilitate the attestation of application and workload identities by using Vault as a reliable authority. Numerous organizations often find credentials embedded within source code, dispersed across configuration files and management tools, or kept in plaintext within version control systems, wikis, and shared storage. It is crucial to protect these credentials from being exposed, and in the event of a leak, to ensure that the organization can swiftly revoke access and remedy the situation, making it a multifaceted challenge that requires careful consideration and strategy. Addressing this issue not only enhances security but also builds trust in the overall system integrity.

Oracle Big Data SQL Cloud Service empowers companies to swiftly analyze information across various platforms such as Apache Hadoop, NoSQL, and Oracle Database, all while utilizing their existing SQL expertise, security frameworks, and applications, achieving remarkable performance levels. This solution streamlines data science initiatives and facilitates the unlocking of data lakes, making the advantages of Big Data accessible to a wider audience of end users. It provides a centralized platform for users to catalog and secure data across Hadoop, NoSQL systems, and Oracle Database. With seamless integration of metadata, users can execute queries that combine data from Oracle Database with that from Hadoop and NoSQL databases. Additionally, the service includes utilities and conversion routines that automate the mapping of metadata stored in HCatalog or the Hive Metastore to Oracle Tables. Enhanced access parameters offer administrators the ability to customize column mapping and govern data access behaviors effectively. Furthermore, the capability to support multiple clusters allows a single Oracle Database to query various Hadoop clusters and NoSQL systems simultaneously, thereby enhancing data accessibility and analytics efficiency. This comprehensive approach ensures that organizations can maximize their data insights without compromising on performance or security.

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.

Powertech Encryption for IBM i safeguards sensitive information through robust encryption, tokenization, key management, and auditing features. This solution enables organizations to swiftly and efficiently encrypt database fields, backups, and IFS files, thanks to its user-friendly interfaces and reliable technology. Companies across the globe rely on Powertech Encryption to protect confidential data on IBM i (iSeries, AS/400) and information from distributed systems, defending against threats posed by external hackers and unauthorized internal access. With its comprehensive approach to data security, Powertech Encryption ensures that organizations can maintain compliance and protect their valuable assets.

Impler is an innovative open-source infrastructure for data importation, crafted to assist engineering teams in creating comprehensive data import solutions without the need to repeatedly start from scratch. It features an intuitive guided importer that leads users through seamless data upload processes, along with intelligent auto-mapping capabilities that match user file headers to designated columns, thereby minimizing the likelihood of errors. Additionally, it incorporates thorough validation checks to confirm that each cell conforms to established schemas and custom criteria. The platform includes validation hooks that empower developers to implement custom JavaScript for validating data against external databases, and it also boasts an Excel template generator that produces personalized templates tailored to specified columns. Furthermore, Impler facilitates the import of data accompanied by images, allowing users to seamlessly upload visual content alongside their data entries, while also providing an auto-import functionality that can automatically retrieve and import data on a pre-set schedule. This combination of features makes Impler a powerful tool for enhancing data import processes across various projects.

SQLFlow offers a comprehensive visual overview of data flow through various systems. It automates the analysis of SQL data lineage across a multitude of platforms, including databases, ETL processes, business intelligence tools, and environments like cloud and Hadoop, by effectively parsing SQL scripts and stored procedures. The tool graphically illustrates all data movements, supporting over 20 leading databases and continuously expanding its capabilities. It allows for automation in lineage construction regardless of the SQL's location, whether in databases, file systems, or repositories such as GitHub and Bitbucket. The user-friendly interface ensures that data flows are presented in a clear and easily understandable manner. By providing complete visibility into your business intelligence environment, it aids in pinpointing the root causes of reporting errors, fostering invaluable confidence in business processes. Additionally, it streamlines regulatory compliance efforts, while the visualization of data lineage enhances transparency and auditability. Users can conduct impact analysis at a detailed level, enabling a thorough examination of lineage down to tables, columns, and queries. With SQLFlow, you can seamlessly integrate powerful data lineage analysis capabilities into your product, thereby elevating your data management strategy. This tool not only simplifies complex tasks but also empowers teams to make informed decisions based on reliable insights.

IBM Guardium Vulnerability Assessment conducts scans of data infrastructures, including databases, data warehouses, and big data environments, to uncover vulnerabilities and recommend corrective measures. This solution effectively identifies risks like unpatched software, weak passwords, unauthorized modifications, and improperly configured access rights. Comprehensive reports are generated, along with actionable recommendations to mitigate all identified vulnerabilities. Additionally, Guardium Vulnerability Assessment uncovers behavioral issues, such as shared accounts, excessive administrative logins, and suspicious activities occurring outside of normal hours. It pinpoints potential threats and security weaknesses in databases that hackers may exploit. Furthermore, the tool assists in discovering and classifying sensitive data across diverse environments, while providing in-depth reports on user entitlements and risky configurations. It also streamlines compliance audits and manages exceptions automatically, enhancing overall security posture. By leveraging this solution, organizations can better safeguard their data assets against evolving threats.

Your Oracle database is often the most valuable informational asset of your company. It contains data on customers, partners and financial transactions. Even small and medium-sized companies now have millions of these records. Database security is now a top concern for companies that must comply with stricter information security controls and practices. Omega Core Audit, a software-only security and compliance tool, is out-of-box and can be used to address compliance issues. It provides access control, continuous audit monitoring, real-time protection, and access control. This allows for duty separation, control over privileged accounts, and meets compliance requirements. Splunk SIEM and GrayLog SIEM support is included.

The Database Security Service (DBSS) leverages advanced machine learning and big data technologies to safeguard your cloud databases by conducting intelligent audits and identifying risky activities such as SQL injection attempts. You can easily initiate your use of DBSS without any manual installation or the need to modify your database settings. Meeting essential auditing standards, DBSS adheres to regulations like HIPAA, SOX, and PCI DSS, ensuring compliance. By utilizing sophisticated algorithm models, it quickly and accurately identifies SQL injection and unusual behaviors. Operating in a bypass mode, DBSS ensures that your business operations remain unaffected. A diverse selection of policies is available, allowing for the detection of SQL injection and the auditing of database activities. DBSS also enables real-time monitoring of databases to spot anomalies related to performance, data integrity, and user actions. Customized audit reports cater to various scenarios, both pre-event and post-event, as well as for different user roles, including common users and administrators. With DBSS, you can conduct thorough database audits that align with legal requirements and regulations, enhancing the overall security posture of your organization. Additionally, the service provides ongoing updates to ensure you are always protected against emerging threats.

A Kudu cluster comprises tables that resemble those found in traditional relational (SQL) databases. These tables can range from a straightforward binary key and value structure to intricate designs featuring hundreds of strongly-typed attributes. Similar to SQL tables, each Kudu table is defined by a primary key, which consists of one or more columns; this could be a single unique user identifier or a composite key such as a (host, metric, timestamp) combination tailored for time-series data from machines. The primary key allows for quick reading, updating, or deletion of rows. The straightforward data model of Kudu facilitates the migration of legacy applications as well as the development of new ones, eliminating concerns about encoding data into binary formats or navigating through cumbersome JSON databases. Additionally, tables in Kudu are self-describing, enabling the use of standard analysis tools like SQL engines or Spark. With user-friendly APIs, Kudu ensures that developers can easily integrate and manipulate their data. This approach not only streamlines data management but also enhances overall efficiency in data processing tasks.

IndexedDB serves as a fundamental API designed for the client-side storage of large volumes of structured data, including files and blobs. It utilizes indexing to facilitate efficient searches, making it suitable for extensive datasets. While traditional web storage can handle smaller data quantities well, it falls short when it comes to managing larger structured datasets, a gap that IndexedDB effectively fills. Functioning as a transactional database system akin to SQL-based Relational Database Management Systems (RDBMS), IndexedDB diverges from them by operating as a JavaScript-based object-oriented database. This distinction allows it to store and retrieve objects indexed by keys, with support for any objects that comply with the structured clone algorithm. Users must outline the database schema, establish a connection, and execute retrieval and updating of data through a series of transactions. Additionally, like other web storage solutions, IndexedDB adheres to the same-origin policy, ensuring data security and integrity across different domains. With its versatility and capability, IndexedDB has become an essential tool for developers dealing with complex data needs on the web.

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.

Tokern offers an open-source suite designed for data governance, specifically tailored for databases and data lakes. This user-friendly toolkit facilitates the collection, organization, and analysis of metadata from data lakes, allowing users to execute quick tasks via a command-line application or run it as a service for ongoing metadata collection. Users can delve into aspects like data lineage, access controls, and personally identifiable information (PII) datasets, utilizing reporting dashboards or Jupyter notebooks for programmatic analysis. As a comprehensive solution, Tokern aims to enhance your data's return on investment, ensure compliance with regulations such as HIPAA, CCPA, and GDPR, and safeguard sensitive information against insider threats seamlessly. It provides centralized management for metadata related to users, datasets, and jobs, which supports various other data governance functionalities. With the capability to track Column Level Data Lineage for platforms like Snowflake, AWS Redshift, and BigQuery, users can construct lineage from query histories or ETL scripts. Additionally, lineage exploration can be achieved through interactive graphs or programmatically via APIs or SDKs, offering a versatile approach to understanding data flow. Overall, Tokern empowers organizations to maintain robust data governance while navigating complex regulatory landscapes.

The Data Loader is an efficient and versatile utility designed for synchronizing, exporting, and importing data across various popular database formats. If your goal is to convert data from MS SQL Server, CSV, or MS Access to MySQL, this tool is an excellent choice to fulfill your requirements seamlessly. The most recent version of Data Loader is compatible with numerous platforms, including MySQL, Oracle, MS Access, Excel, FoxPro, DBF, MS SQL Server, as well as CSV and other delimited or flat file types. With this tool, the process of converting Oracle to MySQL or MS SQL Server has become straightforward, thanks to its array of unique and advanced functionalities. For instance, users can filter specific columns during the transfer and set WHERE conditions to refine their data. Additionally, Data Loader enables comprehensive mapping of source columns to the corresponding target table columns, ensuring accurate data integration. Among its other impressive features are bulk inserts, a built-in scheduler, UPSERT and INSERT capabilities, folder polling, and a command-line interface, all of which enhance its usability and efficiency. This makes Data Loader not only a powerful solution but also a user-friendly option for data management tasks.

Handling and storing tabular data, such as that found in CSV or Parquet formats, is essential for data management. Transferring large result sets to clients is a common requirement, especially in extensive client/server frameworks designed for centralized enterprise data warehousing. Additionally, writing to a single database from various simultaneous processes poses its own set of challenges. DuckDB serves as a relational database management system (RDBMS), which is a specialized system for overseeing data organized into relations. In this context, a relation refers to a table, characterized by a named collection of rows. Each row within a table maintains a consistent structure of named columns, with each column designated to hold a specific data type. Furthermore, tables are organized within schemas, and a complete database comprises a collection of these schemas, providing structured access to the stored data. This organization not only enhances data integrity but also facilitates efficient querying and reporting across diverse datasets.