Best Data Management Software in Japan - Page 22

Automate bookkeeping and streamline expense management with Dext. Capture receipts, process invoices, and integrate seamlessly with major accounting software, 11,500+ apps, banks, and platforms. Start your free trial today! 🆕 The Evolution of Dext - Capture receipts and invoices via our mobile app, browser, email, direct integrations, and more. - Track expenses on the go with the Dext mobile app. - Handle expense claims, including mileage and approvals, with greater efficiency. - Manage business expenses and approvals with greater efficiency. - Integrate seamlessly with over 11,500 applications, banks, and institutions, including PayPal, Shopify, and Stripe. Key Benefits Effortless data extraction: Our optical character recognition (OCR), with 99% accuracy and AI integration, digitises receipts, bills, and invoices, even decoding handwritten documents. Automated integration: Cost data from over 1,400 suppliers flows directly to your accounting software, simplifying reconciliation, categorisation, and tax compliance. **2024 Awards 🏆 2024 Winner - ‘Small Business App Partner of the Year’ (Xero Awards, UK) 🏆 2024 Winner - ‘Small Business App Partner of the Year’ (Xero Awards United States).

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.

We understand how frustrating small tasks online can be! Our team has created a simple solution to complex problems. Vaazo can help you optimize your workflow, extract data from any website and many other things! FEATURES Drag and drop formula builder API integration - Use API element in your formula to communicate with other applications via API Convenient output – export scraped data into CSV To complete large projects, you can distribute the workload. You can run multiple tasks simultaneously. GET STARTED SCRAPING WITH OUR FREUNDABLE PLAN 5 formulae included 20 tasks / month; 20k element runs / month. GET STARTED NOW 1. 1. Install the extension from Chrome's web store. 2. 2.Open the Vaazo tab in developer tools. 3. Log in to activate your profile using your Google account or email. 4. Start by creating your first formula.

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.

For more four decades, IRI CoSort has defined the state-of-the-art in big data sorting and transformation technology. From advanced algorithms to automatic memory management, and from multi-core exploitation to I/O optimization, there is no more proven performer for production data processing than CoSort. CoSort was the first commercial sort package developed for open systems: CP/M in 1980, MS-DOS in 1982, Unix in 1985, and Windows in 1995. Repeatedly reported to be the fastest commercial-grade sort product for Unix. CoSort was also judged by PC Week to be the "top performing" sort on Windows. CoSort was released for CP/M in 1978, DOS in 1980, Unix in the mid-eighties, and Windows in the early nineties, and received a readership award from DM Review magazine in 2000. CoSort was first designed as a file sorting utility, and added interfaces to replace or convert sort program parameters used in IBM DataStage, Informatica, MF COBOL, JCL, NATURAL, SAS, and SyncSort. In 1992, CoSort added related manipulation functions through a control language interface based on VMS sort utility syntax, which evolved through the years to handle structured data integration and staging for flat files and RDBs, and multiple spinoff products.

IRI NextForm is powerful, user-friendly Windows and Unix data mgiration software for data, file, and database: * profiling * conversion * replication * restructuring * federation * reporting NextForm inherits many of the SortCL program functions available in IRI CoSort and uses the IRI Workbench GUI, built on Eclipse.™ The same high-performance data movement engine that maps between multiple sources and targets also make NextForm a compelling, and affordable, place to begin managing big data without the need for Hadoop.

IRI RowGen generates rows ... billions of rows of safe, intelligent test data in database, flat-file, and formatted report targets ... using metadata, not data. RowGen synthesizes and populates accurate, relational test data with the same characteristics of production data. RowGen uses the metadata you already have (or create on the fly) to randomly generate structurally and referentially correct test data, and/or randomly select data from real sets. RowGen lets you customize data formats, volumes, ranges, distributions, and other properties on the fly or with re-usable rules that support major goals like application testing and subsetting. RowGen uses the IRI CoSort engine to deliver the fastest generation, transformation, and bulk-load movement of big test data on the market. RowGen was designed by data modeling, integration, and processing experts to save time and energy in the creation of perfect, compliant test sets in production and custom formats. With RowGen, you can produce and provision safe, smart, synthetic test data for: DevOps, DB, DV, and DW prototypes, demonstrations, application stress-testing, and benchmarking -- all without needing production data.

Founded in 2018, Pecan is a predictive analytics platform that leverages its pioneering Predictive GenAI to remove barriers to AI adoption, making predictive modeling accessible to all data and business teams. Guided by generative AI, companies can obtain precise predictions across various business domains without the need for specialized personnel. Predictive GenAI enables rapid model definition and training, while automated processes accelerate AI implementation. With Pecan's fusion of predictive and generative AI, realizing the business impact of AI is now far faster and easier.

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.

Our data visualization platform empowers both designers and business professionals to effortlessly craft and disseminate visually appealing, brand-aligned charts without any need for coding expertise. We hold the conviction that well-crafted charts are crucial for effectively conveying data insights. Datylon equips you with an unparalleled chart design tool that boasts exceptional styling capabilities. Elevate your chart designs to new heights with our complimentary online chart creator or by utilizing the Datylon plug-in for Illustrator. This comprehensive data visualization workspace enables you to generate and share eye-catching charts seamlessly. You can create charts with the Datylon chart maker, incorporating annotations, titles, and illustrations by harnessing Adobe’s top-tier linework toolbox. Additionally, you can import your Datylon charts into InDesign while ensuring they remain updated in Illustrator. You also have the option to integrate your charts into After Effects for dynamic animations. Ranging from basic bar charts to intricate data visualizations, the Datylon chart maker offers an expanding library of fully customizable charts that allow you to tap into your creative potential and bring your data stories to life. Ultimately, our platform is designed to inspire creativity and streamline the chart-making process for all users.

Datanamic DataDiff serves as a robust and user-friendly tool designed for the comparison and synchronization of data across databases. It allows users to efficiently compare data from selected tables within two different databases, enabling quick and secure identification of differences and updates. With its adaptable comparison and synchronization settings, users can establish a personalized comparison key while choosing specific tables and fields for both comparison and synchronization processes. This utility proves invaluable for tasks such as data migration, verification of potentially corrupted data, and data auditing, among others. Each supported database utilizes tailored comparison and synchronization routines unique to its structure. Datanamic DataDiff is ideal for database administrators, developers, and testers seeking a straightforward, reliable method for comparing and synchronizing their database information. Additionally, it is particularly beneficial for organizations that operate across various types of databases and platforms, ensuring a seamless data management experience. Ultimately, Datanamic DataDiff enhances efficiency and accuracy in data handling processes.

Hackolade Studio is a comprehensive data modeling platform built for today’s complex and hybrid data ecosystems. Originally developed to address the lack of visual design tools for NoSQL databases, Hackolade has evolved into a multi-model solution that supports the broadest range of data technologies in the industry. The platform enables agile, iterative schema design and governance for both structured and semi-structured data, making it ideal for organizations working across traditional RDBMS, modern data warehouses, NoSQL stores, and streaming systems. Hackolade supports technologies such as Oracle, PostgreSQL, BigQuery, Databricks, Redshift, Snowflake, MongoDB, Cassandra, DynamoDB, Neo4j, Kafka (with Confluent Schema Registry), OpenAPI, GraphQL, and more. Beyond databases, Hackolade Studio offers robust capabilities for API modeling, supporting OpenAPI (Swagger) and GraphQL, as well as native modeling for data exchange formats like JSON Schema, Avro, Protobuf, Parquet, and YAML. It also integrates with metadata and data governance platforms like Unity Catalog and Collibra, making it a powerful enabler for organizations focused on data quality, lineage, and compliance. Key features include reverse and forward engineering, schema versioning, data type mapping, and team collaboration tools. Whether you're building data products, managing data contracts, or migrating between systems, Hackolade Studio provides a unified interface for modeling, documenting, and evolving your schemas. Hackolade is trusted by enterprises across finance, retail, healthcare, and telecom to align data architecture with real-world delivery. It’s an essential tool for teams implementing data mesh, data fabric, microservices, or API-first strategies.

Databend is an innovative, cloud-native data warehouse crafted to provide high-performance and cost-effective analytics for extensive data processing needs. Its architecture is elastic, allowing it to scale dynamically in response to varying workload demands, thus promoting efficient resource use and reducing operational expenses. Developed in Rust, Databend delivers outstanding performance through features such as vectorized query execution and columnar storage, which significantly enhance data retrieval and processing efficiency. The cloud-first architecture facilitates smooth integration with various cloud platforms while prioritizing reliability, data consistency, and fault tolerance. As an open-source solution, Databend presents a versatile and accessible option for data teams aiming to manage big data analytics effectively in cloud environments. Additionally, its continuous updates and community support ensure that users can take advantage of the latest advancements in data processing technology.

VictoriaMetrics is a cost-effective, scalable monitoring solution that can also be used as a time series database. It can also be used to store Prometheus' long-term data. VictoriaMetrics is a single executable that does not have any external dependencies. All configuration is done using explicit command-line flags and reasonable defaults. It provides global query view. Multiple Prometheus instances, or other data sources, may insert data into VictoriaMetrics. Later this data may be queried via a single query. It can handle high cardinality and high churn rates issues by using a series limiter.

Compare and synchronize sql data visually. Compare table, view or query data and see differences highlighted on the screen. Compare table metadata, generate sql sync script, use the command line and internal scheduling to automate comparison and data synchronization. • Cross-dbms support with ODBC. • Compare resultsets of any size. • Native 64-bit application. • Multi-threaded, multi-core support. • 30-day full trial. • Free for comparing data and metadata.

DevOps can be simplified and privacy concerns eliminated by giving your teams full data autonomy via an easy-to use self-service portal. You can simplify access, remove data roadblocks, and speed up provisioning for data analysts, dev, testing, and other purposes. The Accelario Continuous DataOps platform is your one-stop-shop to all of your data needs. Eliminate DevOps bottlenecks, and give your teams high-quality, privacy-compliant information. The platform's four modules can be used as standalone solutions or as part of a comprehensive DataOps management platform. Existing data provisioning systems can't keep pace with agile requirements for continuous, independent access and privacy-compliant data in autonomous environments. With a single-stop-shop that provides comprehensive, high-quality, self-provisioning privacy compliant data, teams can meet agile requirements for frequent deliveries.

Discover fresh perspectives, respond to a myriad of inquiries, and enhance your decision-making capabilities. With the simplicity of initiating your next project at the click of a button, no question will slip through your fingers. You can commence by forking any project from your colleagues or tapping into Observable’s extensive community of visualization and analysis professionals. Integrate some of Observable’s visualization tools and UI elements, or incorporate custom code utilizing any JavaScript library of your choice. The creative possibilities are limitless; construct projects in the way that suits you best. Engage in discussions by leaving comments and proposing edits, or dive into spontaneous live coding sessions with your colleagues. Gain insights from experts in our community forum. While viewers have the ability to access a private notebook shared with them, they cannot alter it. Editors, however, can make modifications, collaborate on the notebook, and manage its access. Nonetheless, viewers have the option to fork a notebook and create their own editable version. Additionally, you can export your code as native JavaScript modules, allowing them to function seamlessly anywhere with the open-source Observable runtime, thus broadening your project’s reach and versatility.

With your own data shop, create new revenue streams from the data you already have. Narrative focuses on the fundamental principles that make buying or selling data simpler, safer, and more strategic. You must ensure that the data you have access to meets your standards. It is important to know who and how the data was collected. Access new supply and demand easily for a more agile, accessible data strategy. You can control your entire data strategy with full end-to-end access to all inputs and outputs. Our platform automates the most labor-intensive and time-consuming aspects of data acquisition so that you can access new data sources in days instead of months. You'll only ever have to pay for what you need with filters, budget controls and automatic deduplication.

We know how simple Apache Kafka®, can be when you have the right tools. kPow was created to simplify the Kafka development experience and save businesses time and money. kPow makes it easy to find the root cause of production problems in a matter of clicks and not hours. With kPow's Data Inspect and kREPL functions, you can search tens of thousands messages per second. Are you new to Kafka kPow's Kafka UI is unique and allows developers to quickly understand the core Kafka concepts. You can upskill new members of your team and increase your Kafka knowledge. kPow offers a range of Kafka management features and monitoring capabilities in a single Docker Container. You can manage multiple clusters and schema registries. Connect installs with one instance.

With the Chartrics add-in for PowerPoint, you can seamlessly convert the collected research data into PowerPoint reports, share them with customers, collaborate with colleagues, and automatically reproduce the existing reports with new data. Integrated Chart Maker lets you visualize your data and cross variables against one another in a drag-and-drop interface. It also allows you to perform standard data manipulations such as sorting and filtering variables, grouping and replacing variable categories, painting charts based upon predefined conditions, and so on. Simply apply your analysis to PowerPoint charts. Use the Chartrics Cloud for secure report sharing and team collaboration. When the new data arrives, Chartrics syncs and updates your data and PPT charts, saving you hours and days of manual work.

PlanetScale is a MySQL-compatible database platform that makes databases near infinitely scalable, easier, and safer to manage. Add power to your database layer with non-blocking schema changes, build-in horizontal sharding, real-time analytics, and more.

CloudTDMS, your one stop for Test Data Management. Discover & Profile your Data, Define & Generate Test Data for all your team members : Architects, Developers, Testers, DevOPs, BAs, Data engineers, and more ... Benefit from CloudTDMS No-Code platform to define your data models and generate your synthetic data quickly in order to get faster return on your “Test Data Management” investments. CloudTDMS automates the process of creating test data for non-production purposes such as development, testing, training, upgrading or profiling. While at the same time ensuring compliance to regulatory and organisational policies & standards. CloudTDMS involves manufacturing and provisioning data for multiple testing environments by Synthetic Test Data Generation as well as Data Discovery & Profiling. CloudTDMS is a No-code platform for your Test Data Management, it provides you everything you need to make your data development & testing go super fast! Especially, CloudTDMS solves the following challenges : -Regulatory Compliance -Test Data Readiness -Data profiling -Automation

Our AI can choose from hundreds of database tuning knobs. It will take care of all the details so you can get your life back. You can monitor your database performance and adjust your configuration to meet changing workloads. OtterTune is designed for cloud databases and doesn't access any user data. Instead, it fine-tunes your DBaaS operations. OtterTune is more than a frontend to a few tools. It's a revolutionary machine-learning and machine training platform that allows the database backend to run in the best possible way, both now and in the future. OtterTune actively tunes your database using machine learning. Select a target objective to optimize (e.g. throughput, latency or cost) and OtterTune will automatically update 100+ configuration settings to help you achieve that target. Don't be surprised if there are outages or performance drops. OtterTune monitors and collects metrics about your workload.

It is more than a new generation "Decision Cube"; it is also more than Pivot Grid control. It is a standalone, high-speed OLAP-cube engine. Integrate FastCube OLAP library to your application, prepare data (or multiple data sets) for your end-users and bring Business Intelligence directly to your application! Your end-users have full control over the creation of reports. This will help them make reasonable decisions. FastCube VCL is a set that can be used to create pivot table reports. It supports Delphi 7 - XE8, C++Builder 2005 - XE8, Embarcadero RAD Studio 10 – 11 and Lazarus. Customers will no longer require Excel-tables to perform cross-tab and multi-dimensional data analysis. FastCube components are easily integrated into host applications. FastCube users don't need to be proficient in programming to create reports. FastCube is a set OLAP Desktop components that Delphi can use.

FastCube allows you to quickly and easily analyze data, create summary tables (data slices), and create a variety reports and graphs. It is a useful tool for efficient analysis of data arrays. FastCube is a collection of OLAP Desktop components. It supports.NET Framework 4, ASP.NET Core and Mono Framework. - FastCube components are easily integrated into host applications' interfaces FastCube users don't need to be proficient in programming to create reports. - Instant downloading and management of data arrays For summary tables, you can use ready-made templates. It is possible to ban users from altering the schema. - FastCube settings can be accessed programmatically or by the end user. FastCube data can be saved in a compact format to facilitate data exchange and storage. - Data and settings can easily be saved in a format compatible with FastCube VCL. Export to Excel, Word or HTML