Best Data Management Software in India - Page 23

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.

ZigiOps is a powerful no-code integration platform that enables secure, real-time data exchange between enterprise systems. It helps IT, DevOps, and Service teams to streamline workflows, reduce manual effort, and minimize human error by automating data transfers across ITSM, DevOps, Monitoring, Cloud, and CRM tools. Using an intuitive UI and ready-made integration templates, teams can quickly configure, modify, and launch integrations in just a few clicks. No coding or API expertise required. ZigiOps ensures instant synchronization of tickets, alerts, comments, attachments, and related records, keeping all teams aligned with accurate, up-to-date information. Designed for enterprise reliability, ZigiOps offers advanced data mapping and filtering to support complex integration scenarios across multiple systems and entity levels. It operates without a database and does not store any transferred data, enhancing security and protecting data even during system outages. By automating some of the most time-consuming operational tasks, ZigiOps helps organizations improve efficiency, reduce costs, and collaborate more effectively.

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.

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

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 FMX is a collection of OLAP Desktop components. It supports Embarcadero RAD Studio 10.3 Rio, C++Builder XE4–XE7 and Embarcadero Embarcadero Delphi XE4–XE7. It can be integrated to MS Windows and Apple Mac OS X applications. These components can be integrated into the interface of host-applications. FastCube FMX users don't need to be proficient in programming to create reports. FastCube FMX is a set of OLAP Desktop components for Delphi/C++Builder/Lazarus. You can connect to data-bases via the standard ADO and BDE components, but also any component based upon TDataSet. Instant download and handling of data arrays For summary tables, you can use ready-made templates.

FastQueryBuilder is a visual SQL query builder that is easy to use. It can be used with both client-server and local databases. Your customers can create DB queries with no SQL! FastQueryBuilder allows you to work with both client-server and local databases using the BDE. It also allows you access other data-access components like ADO, IBX, and FIBPlus. Main features: - Supports Embarcadero, (ex Borland & ex CodeGear), Delphi, C++Builder 4-7, RAD Studio 2005-2009, and Lazarus. - Displays a visual representation of the query for editing and use. Visual Query Designer can be embedded into any window of your application. - FastQueryBuilder can be integrated into any window. - Allows for full visual customization of query parameters. It's easy to query a DB. Just open FastQueryBuilder -> create a query -> view the result.

Rulex Platform is a data management and decision intelligence system where you can build, run, and maintain enterprise-level solutions based on business data. By orchestrating data smartly and leveraging decision intelligence – including mathematical optimization, eXplainable AI, rule engines, machine learning, and more – Rulex Platform can address any business challenge and corner case, improving process efficiency and decision-making. Rulex solutions can be easily integrated with any third-party system and architecture through APIs, smoothly deployed into any environment via DevOps tools, and scheduled to run through flexible flow automation.

Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is the platform of choice data teams responsible for the development, production, and observation of data assets. With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.

dbForge DevOps Automation for SQL Server is a robust solution that merges several dbForge SQL Server tools to enhance database management within Continuous Integration (CI) and Continuous Delivery (CD) workflows. Integrated with SQL Server Management Studio (SSMS), it enables users to configure and manage CI/CD processes within the familiar SSMS interface. Key Features: - Integration with popular CI/CD tools (Jenkins, TeamCity, Azure DevOps, and Bamboo) through dedicated plugins - Automation of NuGet package generation - Improved code quality and faster code writing - Change management within SSMS (commit, roll back changes, and resolve conflicts) - Schema comparison and deployment across all supported platforms - Writing unit tests in plain T-SQL - Comprehensive documentation for all database changes Overall, dbForge DevOps Automation allows users to configure and manage DevOps processes for database development and management directly within SSMS. This integration eliminates the need to switch between various third-party tools, resulting in high-quality outputs and significant cost savings.

dbForge Event Profiler for SQL Server is a free tool designed to capture and analyze SQL Server events. It provides detailed information for database administrators, helping them easily detect, troubleshoot, and resolve server issues while gaining comprehensive insights into overall SQL Server performance and health. Key Features: - Detailed statistics on all sessions and executed queries across all servers - Detection of problematic queries - Tracking of user activities and their impact on server performance - Customizable profile parameters with column selection for event sessions - Predefined templates for capturing event details - Various options for capturing events (analytics, debug, operations, and admin actions) - Event filters for the event session dbForge Event Profiler enables database administrators to access specific information about any session on the server, including general metrics and specific events crucial for administration. Its user-friendly interface makes it easy for admins to manage SQL Server sessions and ensure their accuracy.

dbForge Search for SQL Server is a free tool designed to assist database developers in searching for specific SQL objects, data, and text across multiple databases. It eliminates the need for manually inspecting entire database schemas by offering a user-friendly graphical interface for efficient and rapid searches. Key Features: - Customizable search options, including DDL or data searches, case matching, whole-word matching, and wildcard support. - Ability to search for database objects containing specific data. - Conduct simultaneous searches across multiple databases and object types. - Name-based searches within object names and bodies. - SQL code search for specific code fragments within database objects. - Sorting, filtering, and grouping of search results. - Displaying search results in a grid format for improved readability. - Quick navigation to locate objects without browsing through extensive lists. dbForge Search flawlessly integrates with SQL Server Management Studio (SSMS), enabling users to perform all search operations and manage results directly within the SSMS interface.

dbForge Data Pump for SQL Server is an add-in for SQL Server Management Studio (SSMS) designed to simplify data migration in various formats, supporting both import and export operations. This tool facilitates straightforward task configuration and organization of recurring data migration tasks. Key Features: - Import data from 10 popular formats and export data to 14 popular formats. - Simplify import and export task setup with user-friendly wizards. - Import data from third-party databases into SQL Server directly. - Export entire tables or specific records into single or multiple files. - Handle various data import options (adding data, updating with new data, repopulating tables, etc.) - Tailor error-handling behavior to specific requirements. - Save settings for recurring tasks to optimize processes. - Automate data import and export tasks via the command line. dbForge Data Pump for SQL Server empowers users to efficiently configure and perform common data migration tasks. The tool's wizards enable simple setup and the ability to save settings for recurring tasks, ensuring accurate handling of large data volumes and minimizing errors caused by manual input.

dbForge Documenter is a professional tool designed to automate the database documentation process, providing comprehensive, up-to-date documentation with convenient navigation. Users can schedule regular updates and export the documentation in various customizable and user-friendly formats. Key Features: - Detailed database information, including object types, properties, inter-object dependencies, and DDL codes - Self-documenting by retrieving information from the extended properties of database objects - Editable object descriptions that users can modify or create from scratch - Documentation templates with various customization options, including color schemes - Extensive search capabilities for database objects throughout the entire documentation - Visualization and analysis of inter-object relationships - Multiple documentation formats (HTML, PDF, and Markdown) with built-in hyperlinks - Command-line and PowerShell support to automate documentation tasks Integrating dbForge Documenter into SQL Server Management Studio (SSMS) reduces the need to switch between different applications.

dbForge Data Generator for SQL Server is a robust tool crafted to assist database professionals in creating high-quality test data in any amount within short time. Key Features: - Generation of meaningful test data: IDs, phone numbers, credit card numbers, email addresses, postcodes, and more - Extensive predefined and custom generators: use over 200+ predefined generators or create unlimited custom generators - Data integrity support: Maintain inter-column data dependencies. - Versatile data generation: Generate data for all column types, including XML, datetime, etc. - Automation capabilities: Automate tasks using the command line interface. - Task scheduling: Schedule tasks with PowerShell. - Integration with SSMS: Incorporate data generation functionality directly into SSMS. dbForge Data Generator for SQL Server empowers testers to generate large volumes of data with flexible configurations, ensuring the correct data types for testing database operations and applications. Its integration with SSMS allows database specialists to seamlessly integrate data generation features into their preferred integrated development environment (IDE).

dbForge Data Compare for SQL Server is a specialized tool for comparing table data in SQL Server databases. Its user-friendly graphical interface allows users to quickly master its functions and perform tasks without writing code. Key Features: - Supports SQL Server tables, views, data in backups, data in script folders, SQL Azure Cloud, and custom queries. - Detects changes effectively and exports results as CSV, HTML, and Excel files. - Offers full-text data search, easy navigation, sorting, and filtering for viewing results. - Restores missing or damaged data down to a single row from native backups. - Synchronizes data through wizards, allowing for deployment of selected or all changes. - Generates data deployment scripts that can be executed directly or saved for recurring use. - Deploys to SQL Server databases, SQL Azure cloud databases, and SQL Server on Amazon RDS. - Automates routine data comparison and synchronization tasks via a command-line interface. dbForge Data Compare integrates seamlessly with SQL Server Management Studio, enhancing its default functionality within a familiar interface.

You can quickly find answers with the flexible visual query builder. You can access data via your browser or phone and analyze it anywhere you are. No SQL, data scientist, or desktop required. You can learn from your team mates and search for any questions within your organization with shared questions. @mentions, push notifications and shared chat allow you to bring the right people in the conversation and make data actionable. You can easily copy and modify shared questions, export data and change the way charts are displayed so you don't just see someone else's analysis but make it yours. External sharing can be turned on to allow access to data tables and partners outside your domain. In just two clicks, you can access the underlying data tables. Smart typeaheads make it easy to run custom SQL.