Best Data Management Software for SQL Server - Page 3

Effortlessly monitor thousands of tables through machine learning-driven anomaly detection alongside a suite of over 50 tailored metrics. Ensure comprehensive oversight of both data and metadata while meticulously mapping all asset dependencies from ingestion to business intelligence. This solution enhances productivity and fosters collaboration between data engineers and consumers. Sifflet integrates smoothly with your existing data sources and tools, functioning on platforms like AWS, Google Cloud Platform, and Microsoft Azure. Maintain vigilance over your data's health and promptly notify your team when quality standards are not satisfied. With just a few clicks, you can establish essential coverage for all your tables. Additionally, you can customize the frequency of checks, their importance, and specific notifications simultaneously. Utilize machine learning-driven protocols to identify any data anomalies with no initial setup required. Every rule is supported by a unique model that adapts based on historical data and user input. You can also enhance automated processes by utilizing a library of over 50 templates applicable to any asset, thereby streamlining your monitoring efforts even further. This approach not only simplifies data management but also empowers teams to respond proactively to potential issues.

COZYROC's SSIS+ suite includes 270+ Data integration adapters, ETL components and tasks for developing ETL solutions with MS SQL Server Integration Services.

dbFront is a simple to administer and simple to use web application, that allows you to quickly (within minutes) build a web application for your existing database (SQL Server, MySQL, Oracle). - Supports SQL Server, MySQL, Oracle. - Dynamically updates itself as your database changes. - Installs locally and integrates with your existing security. - Onsite or Hosted Installation. No 3rd party dependencies. - Connects to your existing data in your existing database. - Simple Template-Based Reporting.

Dataddo is a fully-managed, no-code data integration platform that connects cloud-based applications and dashboarding tools, data warehouses, and other data storages. Dataddo offers three main products: - Data to Dashboards, which lets users send data from online sources straight to dashboarding apps like Tableau, Power BI, and Google Data Studio for insights in record time. A free version is available for this product! - Data Anywhere, which enables users to send data from any A to any B—from apps to warehouses or dashboards (ETL, end to end), between warehouses (ETL), and from warehouses back into apps (reverse ETL). - Headless Data Integration, which allows enterprises to build their own data products on top of the unified Dataddo API and get all integrations in one. The company’s engineers manage all API changes, proactively monitor and fix pipelines, and build new connectors free of charge in around 10 business days. The platform is SOC 2 Type II certified and compliant with all major data privacy laws around the globe, including ISO 27001. From the first log-in to complete, automated pipelines, get your data flowing from sources to destinations in just a few clicks.

StarfishETL is a Cloud iPaaS solution, which gives it the unique ability to connect virtually any kind of solution to any other kind of solution as long as both of those applications have an API. This gives StarfishETL customers ultimate control over their data projects, with the ability to build more unique and scalable data connections.

Rivery’s ETL platform consolidates, transforms, and manages all of a company’s internal and external data sources in the cloud. Key Features: Pre-built Data Models: Rivery comes with an extensive library of pre-built data models that enable data teams to instantly create powerful data pipelines. Fully managed: A no-code, auto-scalable, and hassle-free platform. Rivery takes care of the back end, allowing teams to spend time on mission-critical priorities rather than maintenance. Multiple Environments: Rivery enables teams to construct and clone custom environments for specific teams or projects. Reverse ETL: Allows companies to automatically send data from cloud warehouses to business applications, marketing clouds, CPD’s, and more.

Aqua Data Studio is a versatile, integrated development environment (IDE) designed for handling data across multiple platforms. It offers significant advantages to various data-oriented professionals by enabling them to efficiently manage a broad spectrum of data sources. This tool enhances productivity for IT specialists and those in data-focused roles, such as developers, database administrators, data analysts, data modelers, and data architects. By streamlining laborious operations related to SQL queries, data manipulation, result sets, schema management, data modeling, file handling, instance management, and server automation, it facilitates a more efficient workflow. Aqua Data Studio is compatible with the three major operating systems: Microsoft Windows, Apple macOS, and Linux, making it accessible to a wide user base. Furthermore, the application boasts a user-friendly graphical interface that supports nine of the most widely spoken languages, including English, Spanish, French, German, Korean, Portuguese, Japanese, and Chinese. Additionally, Aqua Data Studio is capable of interfacing with over 40 popular data source platforms, which encompass relational databases, NoSQL systems, and managed cloud data sources, thereby broadening its appeal and usability in the data management landscape. Ultimately, this makes Aqua Data Studio an invaluable asset for those who seek to optimize their data handling processes.

Telegraf is an open-source server agent that helps you collect metrics from your sensors, stacks, and systems. Telegraf is a plugin-driven agent that collects and sends metrics and events from systems, databases, and IoT sensors. Telegraf is written in Go. It compiles to a single binary and has no external dependencies. It also requires very little memory. Telegraf can gather metrics from a wide variety of inputs and then write them into a wide range of outputs. It can be easily extended by being plugin-driven for both the collection and output data. It is written in Go and can be run on any system without external dependencies. It is easy to collect metrics from your endpoints with the 300+ plugins that have been created by data experts in the community.

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.

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.

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.

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.

dbForge Source Control for SQL Server is a robust add-in for SQL Server Management Studio (SSMS) that integrates version control into the familiar interface. It streamlines database change management across your team, ensuring a consistent software environment. Key Features: - Extensive Source Control System Support: Compatible with Git (and GitHub), - - Perforce (P4), Mercurial, SourceGear Vault, Subversion (SVN), and more. - Simplified Database Linking: Use dedicated wizards to easily link databases to source control systems. - Development Workflow Support: Accommodates both shared and dedicated development workflows. - Visual Source Control Management: Easily commit changes, roll back modifications, and resolve conflicts visually. - Enhanced Commit Functions: Include comments and highlight differences for better clarity. - Change History Access: Review the history of changes at any time. The user-friendly interface of dbForge Source Control ensures quick adoption and allows users to perform essential tasks directly within SSMS. This integration enhances processes, aiding database developers and managers in implementing effective DevOps practices for more efficient and accurate product delivery.

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 Query Builder for SQL Server is a professional tool designed for creating complex SQL queries in a visual mode. With query diagrams and drag-and-drop functionality, this tool allows SQL developers to quickly and accurately build sophisticated queries, including those with numerous subqueries, without manual code typing. Key Features: - Visual query construction from graphical blocks. - Subquery management with adding and editing subqueries on a diagram. - Simple management of primary and foreign keys. - Query diagrams with zooming options for better visualization. - Conversion of visual query diagrams into SQL scripts. - Reverse engineering of existing SQL queries to understand and refine them. - Script generation for selected database objects. - Master-detail reports. dbForge Query Builder for SQL Server minimizes manual code typing, reducing errors and speeding up the query creation process. The tool enhances output quality by allowing users to analyze and refine existing SQL queries through graphical diagrams. This visual approach helps users understand query relationships and performance, leading to better-designed and more efficient SQL queries.

dbForge Index Manager for SQL Server is a user-friendly tool designed to help database specialists detect and resolve index fragmentation issues. It gathers index fragmentation statistics, displays detailed information in a visual interface, identifies indexes in need of maintenance, and provides recommendations for addressing these issues. Key Features: - Detailed information about all database indexes - Customizable thresholds for rebuilding and reorganizing indexes - Automatic resolving index fragmentation issues - Generation of scripts for index rebuilding and reorganization with options to save and reuse them - Exporting index analysis results as detailed reports - Scanning multiple databases for fragmented indexes - Efficient index analysis with sorting and searching through - Task automation for regular index analysis and defragmentation via the command-line interface dbForge Index Manager integrates seamlessly into Microsoft SQL Server Management Studio (SSMS), allowing users to quickly master its functionality and incorporate it into their workflows.

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.

dbForge Schema Compare for SQL Server is a robust tool designed for comparing and synchronizing schemas in SQL Server databases. It supports live databases, snapshots, and native backups as data sources, identifying all discrepancies in the schemas. These discrepancies are displayed in a clear and informative visual interface, enabling users to synchronize changes immediately, either fully or selectively, and deploy them onto supported platforms. Key Features: - Easy task configuration through intuitive wizards - Identification of changes between development and staging/production databases - Restoration of missing or damaged schema objects from native backups - Deployment of changes to SQL Server, SQL Azure, and SQL Server on Amazon RDS - Generation of schema synchronization scripts that can be executed immediately or saved for future use - Automation of regular schema synchronization tasks via the command line dbForge Schema Compare for SQL Server integrates with SQL Server Management Studio (SSMS), providing a seamless experience for database developers and managers. Its user interface is similar to SSMS, offering a familiar environment.

dbForge Unit Tests for SQL Server is a graphical user interface (GUI) tool, available as an add-in for SQL Server Management Studio (SSMS). Built on the tSQLt framework, it allows developers to write unit tests in T-SQL within the familiar SSMS interface. Key Features: - Isolated Unit Testing: Avoid affecting the actual database. - Simultaneous Testing: Perform multiple unit tests simultaneously. - DevOps Integration: Integrate unit tests into DevOps processes. - Command Line Execution: Run unit tests via the command line. - T-SQL-based: Write unit tests in T-SQL without additional tools. - tSQLt Framework Management: Easily install and uninstall the tSQLt framework for writing unit tests. - Example Collection: Access a collection of unit test examples for quick standard task performance. - Safe Refactoring: Ensure safe refactoring in large databases. The tool includes a Test List Manager, a tab within the SSMS interface meant for creating, editing, managing, and running unit tests. This integration allows teams to work entirely within SSMS, eliminating the need to learn and switch between different tools, thus fostering a more comfortable environment and efficient performance.