Best Data Management Software in New Zealand - Page 72

EaseUS Todo PCTrans simplifies the transition to a new computer by transferring all your essential files and applications, ensuring that you're ready to use your new device without hassle. With just one click, it can automatically migrate everything from individual files to multiple applications, saving you precious hours of time. You can effortlessly move any file or folder between systems, making it easy to share your data securely across different PCs, including not only photos and videos but also personal emails and workplace documents. The software allows local migration of applications between disks, helping to alleviate issues related to low disk space. Additionally, it enables you to create backups of your files, programs, and accounts, which can be seamlessly exported from your old PC to the new one. Whether you need to back up your data and applications or restore them to either the old or the new system, even across different networks, you can do so without concern. The migration process ensures that all transferred data and applications are safeguarded, so you can proceed without the fear of losing any important information during the transition. In essence, EaseUS Todo PCTrans provides a comprehensive solution for anyone looking to upgrade their computer while maintaining their valuable data intact.

The EMS Data Generator for MySQL is a remarkable application designed to create test data for MySQL database tables, offering options to save and modify scripts. This versatile utility enables users to replicate a production-like database environment, facilitating the simultaneous filling of multiple MySQL tables with test data. Users can specify which tables and columns to target for data generation, establish ranges of values, and create MySQL character fields based on specific patterns. Additionally, it allows for the input of custom value lists or the selection of values through SQL queries, along with tailored generation parameters for each type of field. With its diverse features, the tool simplifies the process of generating MySQL test data effectively. Furthermore, the Data Generator for MySQL includes a user-friendly console application, enabling one-click generation of test data using pre-defined templates. This added functionality streamlines workflows and enhances productivity for database developers.

Data forms the essential foundation of the digital economy, and we are transforming the way organizations utilize data to generate value. Enterprises rely on Enveil’s award-winning ZeroReveal® solutions to securely and privately handle data in situ across various organizational borders, jurisdictions, and third-party interactions, all while maintaining the confidentiality of both the data and the outcomes. Our privacy-enhancing technologies (PETs), coupled with homomorphic encryption, create an effective and decentralized framework for data collaboration that aims to minimize risks and tackle business issues such as data sharing, monetization, and regulatory compliance. By safeguarding data during its use and processing—often regarded as the 'holy grail' of secure data handling—we offer the most advanced encrypted search, analytics, and machine learning products available. Enveil stands as a trailblazer in privacy-enhancing technology, dedicated to ensuring secure data usage, sharing, and monetization, while continuously pushing the boundaries of what is possible in data protection. As the digital landscape evolves, our solutions are poised to adapt and meet emerging challenges in data security and privacy.

We assist you in uncovering, generating, and customizing test data while also enabling you to visualize coverage and ensure data security, allowing you to concentrate on development tasks. Automate the generation of masked, tailored, and synthetic data to fulfill your development and testing requirements seamlessly. Quickly pinpoint sensitive data locations by implementing uniform masking across various databases. Enhance testers’ productivity by storing, expanding, sharing, and reusing test datasets effectively. Deliver smaller datasets to lessen infrastructure demands and enhance overall performance. Employ our extensive range of masking methods to ensure consistent data protection across all applications. Provide support for packaged applications to maintain solution integrity and accelerate deployment processes. Collaborate with risk, compliance, and audit teams to synchronize with data governance strategies. Boost test efficiency by utilizing dependable, trusted production data sets while simultaneously reducing server and storage demands with appropriately sized datasets for each team. This holistic approach not only streamlines the testing process but also fortifies the data management practices of your organization.

The ultimate solution for submitting data directly from your Tableau dashboard is Write-Back, designed specifically for you and your team to seamlessly send inputs to your database. This powerful tool allows for immediate data entry and sharing, thereby expanding your analytical possibilities. With Write-Back, you don’t have to possess coding skills or knowledge of SQL, as its user-friendly interface makes it simple to configure new use cases just like adding any component to your Tableau dashboard. This extension empowers you to enhance your database or backend repository directly from the dashboard, all while maintaining your own infrastructure and benefiting from an audit mechanism. As a top-tier Tableau extension, Write-Back lets users input data at any time, eliminating the need for additional tools or disrupting the Tableau workflow. It effectively addresses various challenges by facilitating direct data submission from your Tableau dashboard, incorporating all the features necessary for an enterprise-level extension. By choosing Write-Back, you ensure a streamlined and efficient data management process that enhances team collaboration and decision-making.

Amazon QLDB is a fully managed ledger database that offers a transparent, immutable, and cryptographically verifiable transaction log governed by a central trusted authority. This powerful tool allows users to monitor every change made to application data while preserving a complete and verifiable history of alterations over time. Typically, ledgers serve to document the economic and financial activities within an organization. Many businesses create applications with ledger-like features to ensure they have an accurate record of their data history; this includes tracking the flow of credits and debits in banking transactions, validating the data lineage for insurance claims, or following the movement of goods in a supply chain. By utilizing Amazon QLDB, organizations can avoid the intricate development challenges associated with creating their own ledger-like systems, streamlining their processes and enhancing data integrity. This innovative database solution ultimately empowers businesses to focus on their core activities while ensuring robust data management.

Intelligent Data Mobility offers clients the ability to manage their workloads and data migration with ease, efficiency, and flexibility by leveraging advanced technology, automation, and the expertise of Dell EMC. This approach employs a standardized methodology designed to cut down on the time and costs associated with onboarding new storage solutions. Central to this methodology are three key components: discovery, planning, and execution, which form a straightforward and highly repeatable process that is agnostic to both vendors and platforms. By utilizing this strategy, organizations can significantly reduce the complexity, cost, and duration of their data migration efforts. This not only accelerates the time it takes to realize value from new storage but also allows businesses to concentrate on their core operations while Dell EMC professionals handle the migration of their data. Clients can benefit from Dell EMC's established and standardized approach, which is adaptable to various scenarios. Furthermore, ensuring a successful data center migration hinges on asking pertinent questions prior to initiation and selecting the right vendor for collaboration. Ultimately, the right preparation and partnership can lead to a smoother transition and improved operational efficiency.

Transfer your data or operating system from any source to any destination seamlessly with the features included in Hard Disk Manager! This tool allows you to create backups, organize partitions, and move data effortlessly. You can transfer your operating system to a new computer and start using it instantly. Additionally, you can clone your OS onto a USB flash drive for portable access anywhere you go. Efficiently manage your disk space by keeping it organized while easily backing up and migrating your data. If you're looking to upgrade, you can clone your hard drive to a larger one or transfer your laptop's data to a new hard drive. The software enables you to copy or restore data onto a hard disk with a different sector size without complications. When migrating Windows to new storage solutions, you can back up and restore both your system and data. With a comprehensive set of copying options, you can either duplicate an entire hard disk or its individual partitions. It also simplifies the process of transferring the contents from a 512-byte hard disk to a 4k hard disk without needing any additional steps. Migrate any version of Windows from 7 and later from a traditional HDD to a high-speed SSD, allowing for improved performance. You can even choose to exclude certain data from the migration process. Finally, carry out partitioning tasks to ensure your disks remain well-organized and efficient.

Due to multiple information sources operating in silos, the enterprise cannot find a single version of truth. Complexity is added by the confusion that results from hundreds of different solutions. While we provide the best possible solutions and services to solve the data and AI problems, you can concentrate on your business. Out-of-the box transformation accelerators for Teradata Netezza, Ab Initio Oracle, Teradata and other legacy data warehouses. View legacy code and evaluate the transformations to ETL, data warehouse, and analytics. Ingestion, CDC and streaming analytics, ETL and data prep, advanced analytics, and many more. Build and deploy scalable data science models and AI models across multiple platforms that leverage multiple data sources. A scalable, secure, fast and well-governed data lake that is agile and flexible can be built. Use best practices and accelerators to accelerate cloud adoption, implementation, and ROI.

SQL Manager for PostgreSQL offers a variety of intuitive visual editors tailored for managing database and server objects. Users can seamlessly construct intricate queries through a visual interface or utilize an editor equipped with features such as code completion, code folding, and formatting options. The editor's layout can be customized to fit individual needs, enhancing the overall user experience. Additionally, query results can be exported effortlessly into multiple formats. Users have the ability to manipulate data using filters, grouping, sorting, and sub-levels, and can view the information in formats like JSON, Image, or XML, with export options available for popular formats including XLSX, CSV, TXT, XML, SQL, and more. The tool also supports advanced importing capabilities from various sources like MS Excel, MS Access, DBF, XML, ODF, and TXT, allowing users to select methods for adding data to existing tables, as well as processing or replacing the inserted data. Furthermore, data can be exported into an extensive range of widely-used formats such as MS Excel, MS Word, MS Access, HTML, PDF, TXT, CSV, DBF, XML, ODF, and beyond, with customizable settings for how the resulting data is presented. This versatility makes SQL Manager an invaluable tool for database management and data manipulation tasks.

Our APIs make it easy to automate document processing in your software. All APIs accept input documents (photo or PDF) and return a structured reply with all the information that you require. Instant processing ensures the best UX. High-quality results regardless of image quality. Get structured data, no post processing required. To make it easy for developers to create robust APIs that are ready to use, we apply state-of-the-art deep learning research to the field. Our algorithms find the relevant information in the image before reading it, unlike traditional OCR. This new paradigm breaks down the traditional OCR performance barriers in terms speed, accuracy, and robustness. No training, templates or setup required. Software developers can access our APIs through plug-and-play. An API-first platform, designed for developers. Developers get a free plan, with no credit card. Synchronous cloud-based APIs

The simplest method for pulling data points from unstructured text involves simultaneously scanning research documents, prospectuses, and customer feedback to identify, track, and assess significant, user-defined data metrics. You can access over 100 distinct data points to enhance your investment and risk management strategies effectively. By searching and assembling customized datasets from EDGAR and various public or private resources, you can optimize your deal underwriting process. Additionally, this approach can streamline the legal workflows within capital markets and structured finance. Instantly retrieve over 100 data points to help categorize, compare, and collaborate with your clients more effectively. Deconstructing unstructured text from sources like PubMed and clinical trial data allows you to break down information into categories such as diseases, genes, proteins, and symptoms, ensuring that all your research is consolidated in one location. You can incorporate research from any source into your workspaces effortlessly with our convenient Chrome plug-in, which also enables the transformation of digital PDFs into machine-readable formats. Furthermore, you will receive outputs in JSON and HTML formats that include a detailed section hierarchy, as well as the removal of watermarks, multi-level tables, lists, headers, and footers, making your data more accessible and manageable than ever before. This comprehensive solution not only simplifies data extraction but also enhances your overall analytical capabilities.

Keesing Technologies provides advanced identity verification solutions that enable you to confirm an individual's authentic identity from any location globally, thereby safeguarding your business against fraud. Our innovative technologies leverage our extensive experience, in-depth ID knowledge, and the most comprehensive ID document database available worldwide. In essence, we deliver trustworthy identity verification services. Our offerings include thorough ID document validation paired with biometric identity verification. We ensure real-time results that are backed by high accuracy in both data comparison and biometric assessments. Furthermore, our team comprises certified experts in ID documentation and fraud prevention, ready to assist you. Keesing supplies identity and ID document verification solutions that are not only swift but also precise, giving you immediate feedback and confidence in verifying someone’s identity. We are committed to helping you fulfill your business goals through dependable and secure identity verification, available anytime and anywhere you need it. Our solutions are designed to adapt to the evolving landscape of identity verification needs, ensuring that you stay ahead in the fight against identity fraud.

Automate every stage in your systematic literature review to produce evidence-based research more quickly and accurately. DistillerSR automates literature collection, triage and assessment with AI and intelligent workflows. DistillerSR makes managing any project, no matter how large or small, easier. It can also be configured to produce transparent, audit-ready, and compliant literature reviews. DistillerSR integrates with data providers such as PubMed, automatic reviews updates, and AI-powered duplicative detection and removal. This makes it easier to search more efficiently. Automatically import new published references, keeping literature reviews current. You can detect duplicate citations and remove them, preventing bias and skew caused by studies that were included more than once. DistillerSR can reduce your screening burden by 60% DistillerSR makes it easier to get started on the later stages of your review faster and more accurately.

NetApp AIPod presents a holistic AI infrastructure solution aimed at simplifying the deployment and oversight of artificial intelligence workloads. By incorporating NVIDIA-validated turnkey solutions like the NVIDIA DGX BasePOD™ alongside NetApp's cloud-integrated all-flash storage, AIPod brings together analytics, training, and inference into one unified and scalable system. This integration allows organizations to efficiently execute AI workflows, encompassing everything from model training to fine-tuning and inference, while also prioritizing data management and security. With a preconfigured infrastructure tailored for AI operations, NetApp AIPod minimizes complexity, speeds up the path to insights, and ensures smooth integration in hybrid cloud settings. Furthermore, its design empowers businesses to leverage AI capabilities more effectively, ultimately enhancing their competitive edge in the market.

The early bird gets the sale. Filter, match and route leads to the right salesperson instantaneously. Close more deals. LeadAngel is a B2B Lead Management platform, including Lead to Account Matching and Routing. Fast, Reliable, and Customizable Operations works with Salesforce CRM and others. APIs available to route and match leads. LeadAngel helps businesses, organizations, and enterprises to improve sales process to close more deals, faster. The software offers lead routing, lead matching, fuzzy matching, lead deduplication, account based marketing strategies and detailed reporting. Matching is very customizable and extremely fast. Our system can identify matching companies in dozens of ways. You can further optimize your sales funnel by using tools like auto-conversion of leads to contacts if you find a matching account.

Oracle SQL Developer Data Modeler is a complimentary graphical application designed to boost efficiency and streamline the process of data modeling. With this tool, users can effortlessly create, navigate, and modify various models, including logical, relational, physical, multi-dimensional, and data type models. The Data Modeler also offers capabilities for both forward and reverse engineering, while facilitating collaborative efforts through built-in source code management. It is versatile enough to be utilized in traditional setups as well as cloud-based environments. As part of the Oracle Database Tools suite, Oracle SQL Developer Data Modeler stands out as a comprehensive, independent product featuring a wide array of data and database modeling tools and utilities. Additional resources, including a general FAQ and other relevant materials, can be found on the Data Modeler homepage. This document aims to address some of the pricing-related inquiries that have emerged within the community, providing helpful insights for users navigating these questions.

DTM Data Modeler serves as a CASE tool designed for database developers, facilitating both forward and reverse engineering processes. This user-friendly application allows for the manipulation of both logical and physical data models, visualized through entity-relationship diagrams. Aimed at database architects and developers, it connects seamlessly with data sources through the ODBC interface, ensuring compatibility with contemporary database management systems. In addition to managing fundamental model properties, such as entities and their interrelationships, the software enables the creation of indexes and triggers at the physical level that align with the modeled database tables. The feature for foreign key migration enhances schema development by providing a more intuitive and visual approach, while also minimizing the risk of integrity errors within the model. Furthermore, users can generate database schema objects directly in the database or produce SQL scripts that reflect the model and adhere to custom user-defined settings, making the entire process more efficient and streamlined. Overall, DTM Data Modeler equips developers with a robust set of tools for effective database design and management.

Visualize and comprehend database architectures while recognizing their interconnections. Develop robust logical and physical data models with precision. Reverse engineer current database frameworks to represent them visually in diagrams. Produce comprehensive reports in formats such as HTML, RTF, or PDF. Efficiently construct quality database designs or implement modifications to existing models automatically, supplying documentation across various platforms. Create intricate logical and physical entity-relationship models and facilitate both reverse and forward engineering of databases seamlessly. Connect to numerous databases natively and concurrently, including Oracle, SAP, MySQL, SQL Server, PostgreSQL, DB2, Ingres, and Microsoft Access. Maintain synchronization between models and existing databases through Change Script Generations and the Update Model functionalities. Effortlessly convert data architectures from one database platform to another, aiding in business migration efforts. Additionally, generate extensive hyperlinked reports detailing existing database structures in various formats, enhancing accessibility and usability. This comprehensive approach ensures a well-rounded understanding and efficient management of database systems.

Illustrate Sequelize models, their fields, and associations in a visual format to enhance understanding. By incorporating annotations, comments, images, and hyperlinks into your diagrams, you can create visually appealing representations that are also suitable for printing. These diagrams serve as a detailed map of your data architecture, enabling you to identify mistakes easily. Think of it as a blueprint for a house; it provides clarity on what you are constructing, how different elements are interconnected, and includes essential documentation. This visual tool aids all team members and clients in grasping the relationships between collections and documents effectively. Additionally, it allows for the design of database structures and the generation of corresponding code, minimizing errors and facilitating swift modifications. With these diagrams, you not only streamline your development process but also enhance collaboration and communication within your team.

The software is fully compatible with the UML 2.X standard metamodel, accommodating a variety of diagrams including class, object, use case, component, deployment, composite structure, sequence, communication, statechart, activity, timing, interaction overflow, information flow, and profile diagrams. In addition to UML, it also facilitates modeling with SysML diagrams such as requirement, block definition, internal block, and parametric diagrams. It is optimized for Retina (High-DPI) displays, ensuring that all diagrams, text, and icons appear exceptionally sharp and can be easily exported as High-DPI images in formats like PNG and JPEG. Users can effortlessly discover and install numerous third-party extensions, many of which are open source and available on GitHub. The tool also incorporates a range of shorthands in the Quick Edit feature, allowing for the swift creation of elements and relationships simultaneously, including sub-classes and supporting interfaces, thus enhancing overall productivity. Additionally, this versatility makes it an invaluable resource for professionals seeking comprehensive modeling capabilities.

WinPure™ MDM provides a comprehensive master data management solution tailored to your business needs, enabling a unified view of your data through a variety of features designed to enhance data management. Its offerings are a mix of options sourced from the clean & match enterprise edition, specifically adapted for straightforward web-based data preparation and MDM processes. Users can handle data in various formats and leverage numerous effective methods to clean, standardize, and transform that data. The solution incorporates leading-edge data matching and error-tolerant technologies alongside an easily configurable survivorship mechanism. Key advantages include reduced costs and expedited time to market, along with user-friendly interfaces that require minimal training and implementation efforts. This results in enhanced business outcomes and quicker deployment of MDM systems or other technologies. Additionally, it supports faster and more precise batch loading, along with intuitive data preparation tools. The platform also offers flexible and efficient connectivity with various internal and external databases and systems through its API, facilitating quicker realization of synergies during mergers and acquisitions. Overall, WinPure™ MDM not only streamlines data management but also enhances organizational agility in responding to dynamic market demands.

We aim to relieve ML engineers from the burdens of data engineering so they can concentrate on their passion for developing superior models more efficiently. Our innovative product serves as a robust framework that simplifies and accelerates the process for developers to discover, comprehend, and disseminate visual data on a large scale, making it ten times easier. Users can automatically generate custom interval attributes using pre-trained extractors or any model of their choice, enhancing the flexibility of data manipulation. The platform allows for effective data visualization and the analysis of model performance by leveraging custom attributes alongside standard KPIs. This functionality enables users to query data, identify rare edge cases, and curate new training datasets across their entire data lake with ease. Additionally, it facilitates the seamless saving, editing, versioning, commenting, and sharing of frames, sequences, or objects with both colleagues and external partners. SiaSearch stands out as a data management solution that automatically extracts frame-level contextual metadata, streamlining fast data exploration, selection, and evaluation. By automating these processes with intelligent metadata, engineering productivity can more than double, effectively alleviating bottlenecks in the development of industrial AI. Ultimately, this allows teams to innovate more rapidly and efficiently in their machine learning endeavors.

Streamlining the entry of order and invoice data from PDFs into ERP systems is what PDF-Mapper excels at, making it an ideal choice for organizations striving for excellence in document processing. Gone are the days of manually inputting data, as PDF-Mapper automates this task with remarkable speed and precision. This innovative tool boasts a commitment to 100% accuracy, ensuring that all necessary information from each PDF document is reliably captured and processed. With its built-in automatic validation feature, PDF-Mapper proactively notifies users of any discrepancies in incoming orders and invoices before the data is uploaded to the system. Companies that adopt PDF-Mapper elevate their order and invoice processing to new heights, significantly enhancing productivity and efficiency. By simplifying integration with recurring customers and suppliers, PDF-Mapper optimizes the entire PDF data entry workflow. Furthermore, as an on-premise solution, PDF-Mapper guarantees that your data remains secure and under your control, being installed locally at your facility. This level of security adds an additional layer of confidence for businesses looking to modernize their document handling processes.

TimescaleDB brings the power of PostgreSQL to time-series and event data at any scale. It extends standard Postgres with features like automatic time-based partitioning (hypertables), incremental materialized views, and native time-series functions, making it the most efficient way to handle analytical workloads. Designed for use cases like IoT, DevOps monitoring, crypto markets, and real-time analytics, it ingests millions of rows per second while maintaining sub-second query speeds. Developers can run complex time-based queries, joins, and aggregations using familiar SQL syntax — no new language or database model required. Built-in compression ensures long-term data retention without high storage costs, and automated data management handles rollups and retention policies effortlessly. Its hybrid storage architecture merges row-based performance for live data with columnar efficiency for historical queries. Open-source and 100% PostgreSQL compatible, TimescaleDB integrates with Kafka, S3, and the entire Postgres ecosystem. Trusted by global enterprises, it delivers the performance of a purpose-built time-series system without sacrificing Postgres reliability or flexibility.