Best Database Software for Freelancers - Page 4

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.

Riak is a distributed systems expert and works with Application teams to overcome distributed system challenges. Riak's Riak®, a distributed NoSQL databank, delivers: Unmatched resilience beyond the typical "high availability" offerings - Innovative technology to ensure data accuracy, and never lose a word. - Massive scale for commodity hardware - A common code foundation that supports true multi-model support Riak®, offers all of this while still focusing on ease-of-use. Choose Riak®, KV flexible key value data model for web scale profile management, session management, real time big data, catalog content management, customer 360, digital message and other use cases. Choose Riak®, TS for IoT, time series and other use cases.

Kohezion is a low-code, online database platform that delivers applications in a fraction of the time. At Kohezion, our mission is to provide users with the tools to develop their own high-security software solutions that scale and grow along with the business.

Ragic is a database design tool. It looks just like other spreadsheets, but it's much more powerful. Ragic allows you to create and customize your database without having to use any codes. This allows you to control how your data is processed, how your sheets look, the relationships between your data, and the access rights of each user.

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.

Aiven takes the reins on your open-source data infrastructure hosted in the cloud, allowing you to focus on what you excel at: developing applications. While you channel your energy into innovation, we expertly handle the complexities of managing cloud data infrastructure. Our solutions are entirely open source, providing the flexibility to transfer data between various clouds or establish multi-cloud setups. You will have complete visibility into your expenses, with a clear understanding of costs as we consolidate networking, storage, and basic support fees. Our dedication to ensuring your Aiven software remains operational is unwavering; should any challenges arise, you can count on us to resolve them promptly. You can launch a service on the Aiven platform in just 10 minutes and sign up without needing to provide credit card information. Simply select your desired open-source service along with the cloud and region for deployment, pick a suitable plan—which includes $300 in free credits—and hit "Create service" to begin configuring your data sources. Enjoy the benefits of maintaining control over your data while leveraging robust open-source services tailored to your needs. With Aiven, you can streamline your cloud operations and focus on driving your projects forward.

InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 250 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on-premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University.

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.

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.

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.

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.

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.

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.

AQT is a multi-database query and admin tool designed for DBAs, database developers and data analysts. AQT uses a native ODBC interface that runs reliably and efficiently against databases of all sizes. It has been specifically customized for over 30 dufferent database types and displays more information about your database than any other product on the market. It is in use in a large number of sites running DB2 z/OS and many customers have commented that it is by far the best product with that database. But not just DB2 z/OS, but also Oracle, SQL Server, MySQL, PostgreSQL and others. Data analysts will enjoy the SQL editor, SQL history, graphical query builder, table editor, data export and charting features. DBAs and developers will be delighted with generate DDL, object compare/resync, data compare/resync, data loader, create/alter/manage objects, visual explain and system monitor.

RisingWave is an open-source distributed SQL streaming database released under Apache 2.0 license. RisingWave is PostgreSQL-compatible, and allows users to process streaming data using standard SQL. Written in Rust and designed with cloud-native architecture, RisingWave can achieve 10X better performance and cost efficiency compared to conventional stream processing systems. RisingWave Cloud is a fully managed cloud service. Users can leverage RisingWave Cloud to process streaming data and serve analytical queries at ease.

Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements. Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.

Retable is a versatile online spreadsheet and database tool that makes organizing and collaborating on data easy. Whether you're running a small business, a large organization, or an NGO, Retable is the perfect solution for managing all your personal, business, technical, and functional information in one place. With Retable, you can work holistically and in sync with all your data, making it easy to coordinate, evaluate, create, schedule, and build. With its streamlined and user-friendly interface, Retable is ideal for small and large businesses, as well as organizations that rely on collaborative working methods. Try Retable today and experience the convenience of having all your data in one easy-to-use platform.

Trino is a remarkably fast query engine designed to operate at exceptional speeds. It serves as a high-performance, distributed SQL query engine tailored for big data analytics, enabling users to delve into their vast data environments. Constructed for optimal efficiency, Trino excels in low-latency analytics and is extensively utilized by some of the largest enterprises globally to perform queries on exabyte-scale data lakes and enormous data warehouses. It accommodates a variety of scenarios, including interactive ad-hoc analytics, extensive batch queries spanning several hours, and high-throughput applications that require rapid sub-second query responses. Trino adheres to ANSI SQL standards, making it compatible with popular business intelligence tools like R, Tableau, Power BI, and Superset. Moreover, it allows direct querying of data from various sources such as Hadoop, S3, Cassandra, and MySQL, eliminating the need for cumbersome, time-consuming, and error-prone data copying processes. This capability empowers users to access and analyze data from multiple systems seamlessly within a single query. Such versatility makes Trino a powerful asset in today's data-driven landscape.

Ispirer SQLWays is a simple-to-use tool for cross-database migration. It allows you to migrate your entire database schema including SQL objects, tables, and data, from the source to the target databases. All of these capabilities can be combined into one solution: smart conversion, teamwork and technical support, tool customization based on your project requirements, etc. Customization option. The migration process can be tailored to meet specific business requirements using SQLWays Toolkit. It accelerates database modernization. High level of automation. Smart migration core offers a high degree of automation to the migration process. This ensures a consistent, reliable migration. Code security. We place great importance on privacy. We developed a tool that does neither save nor send the code structures. Our tool will ensure that your data remains safe as it can operate without an internet connection.