SurrealDB Alternatives

DbVisualizer is one of the world’s most popular database editors. Developers, analysts, and DBAs use it to elevate their SQL experience with modern tools to visualize and manage their databases, schemas, objects, and table data, and to auto-generate, write and optimize queries. And so much more. It connects to all popular databases (e.g. MySQL, PostgreSQL, SQL Server, Oracle, Cassandra, Snowflake, SQLite, BigQuery, and 20+ more) and runs on all popular OSes (Windows, macOS, and Linux). With almost 6 million downloads and Pro-users in 145 countries around the world, it won’t let you down. Free and Pro versions are available.

PopSQL is a collaborative SQL editor and workspace that connects everyone in the data analysis process so that teams can obtain better data insights and visualizations by asking the right questions, together. * Get answers faster with real-time collaboration, version history, searchable shared queries and folders. We make it easy for your power SQL users and data analysts to work with business stakeholders * Built-in data visualization & sharing lets you go from query to chart to Slack in seconds. Build, schedule and push real-time insights and dashboards, in just a few clicks. * Our modern and elegant cloud-based workspace offers a rich SQL editing experience. Dive right in, connect to your databases and iterate on analyses from anywhere. We offer native macOS, Windows, and Linux clients. * One workspace to get it done: PopSQL puts your database connections, shared credentials and an intuitive data catalog at your fingertips so you can access & mine your data, safely, securely

With TIMi, companies can capitalize on their corporate data to develop new ideas and make critical business decisions faster and easier than ever before. The heart of TIMi’s Integrated Platform. TIMi’s ultimate real-time AUTO-ML engine. 3D VR segmentation and visualization. Unlimited self service business Intelligence. TIMi is several orders of magnitude faster than any other solution to do the 2 most important analytical tasks: the handling of datasets (data cleaning, feature engineering, creation of KPIs) and predictive modeling. TIMi is an “ethical solution”: no “lock-in” situation, just excellence. We guarantee you a work in all serenity and without unexpected extra costs. Thanks to an original & unique software infrastructure, TIMi is optimized to offer you the greatest flexibility for the exploration phase and the highest reliability during the production phase. TIMi is the ultimate “playground” that allows your analysts to test the craziest ideas!

MongoLime allows you to easily manage and precisely control your MongoDB connections. Viewing and managing documents. Statistics, Indexes and other operations. Create and modify documents with a convenient MongoLime editor. Use raw JSON editor for complex documents. Search for documents using query builder. Save searches for a quick access. Export Databases and Collections in a JSON format as a ZIP archive. MongoLime is an application created to work with MongoDB databases on mobile devices and tablets running Android. The application’s interfaces are designed for easy data collection management. The application allows you to connect to MongoDB databases directly or in the Replica Set mode.

PipelineDB is a PostgreSQL extension for high-performance time-series aggregation, designed to power realtime reporting and analytics applications. PipelineDB allows you to define continuous SQL queries that perpetually aggregate time-series data and store only the aggregate output in regular, queryable tables. You can think of this concept as extremely high-throughput, incrementally updated materialized views that never need to be manually refreshed. Raw time-series data is never written to disk, making PipelineDB extremely efficient for aggregation workloads. Continuous queries produce their own output streams, and thus can be chained together into arbitrary networks of continuous SQL.

Entity Framework (EF) Core is a lightweight, extensible, open source and cross-platform version of the popular Entity Framework data access technology. Enables .NET developers to work with a database using .NET objects. Eliminates the need for most of the data-access code that typically needs to be written. With EF Core, data access is performed using a model. A model is made up of entity classes and a context object that represents a session with the database. The context object allows querying and saving data. Generate a model from an existing database. Hand code a model to match the database. Once a model is created, use EF migrations to create a database from the model. Migrations allow evolving the database as the model changes. Instances of your entity classes are retrieved from the database using Language Integrated Query (LINQ). Data is created, deleted, and modified in the database using instances of your entity classes.

Write your prompt in natural language, mention the tables required, and generate a query with the AI model of your choice. Add as many connections as you want. Supports autocomplete for SQL queries to speed up your workflow. We do not store your schemas, queries, or credentials. We only use the data you provide to us to generate SQL queries. Download your results in CSV format. View your results in graphs and charts. Experience the power of AI-powered SQL queries with our free plan. Quickly generate your complex SQL queries with the help of AI. SQLPilot is your AI-first SQL query tool to generate queries with all the context you need.

Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.). Download: https://sourceforge.net/projects/prometheus.mirror/

*GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.* GraphDB is a highly efficient and robust graph database with RDF and SPARQL support. The GraphDB database supports a highly available replication cluster, which has been proven in a number of enterprise use cases that required resilience in data loading and query answering. If you need a quick overview of GraphDB or a download link to its latest releases, please visit the GraphDB product section. GraphDB uses RDF4J as a library, utilizing its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g., SPARQL and SeRQL) and RDF syntaxes (e.g., RDF/XML, N3, Turtle).

Objectivity/DB is a massively scalable, high performance, distributed Object Database (ODBMS). It is extremely good at handling complex data, where there are many types of connections between objects and many variants. Objectivity/DB can also serve as a massively scalable, high performance graph database. Its DO query language supports standard data retrieval queries as well as high-performance path-based navigational queries. Objectivity/DB is a distributed database, presenting a Single Logical View of its managed data. Data can be hosted on a single machine or distributed across up to 65,000 machines. Connected items can span machines. Objectivity/DB runs on 32 or 64-bit processors running Windows, Linux, and Mac OS X. APIs include: C++, C#, Java and Python. All platform and language combinations are interoperable. For example, objects stored by a program using C++ on Linux can be read by a C# program on Windows and a Java program on Mac OS X.

Materialize is a reactive database that delivers incremental view updates. We help developers easily build with streaming data using standard SQL. Materialize can connect to many different external sources of data without pre-processing. Connect directly to streaming sources like Kafka, Postgres databases, CDC, or historical sources of data like files or S3. Materialize allows you to query, join, and transform data sources in standard SQL - and presents the results as incrementally-updated Materialized views. Queries are maintained and continually updated as new data streams in. With incrementally-updated views, developers can easily build data visualizations or real-time applications. Building with streaming data can be as simple as writing a few lines of SQL.

Analyze the performance of Greenplum DBMS using monitoring and query management tools in the command center, where you can also view and download query and session histories. Hybrid Storage in Yandex Managed Service for Greenplum® is natively integrated with Object Storage, allowing you to organize hybrid storage with automatic data transfers to cold storage. You can deploy a ready-to-use cluster in just a few minutes. DB settings are optimized for the selected cluster size and you can change them if necessary. Thanks to its integration with the DataLens BI system, build reports, charts, and dashboards, directly from the service, based on data stored in Greenplum. All DBMS connections are encrypted using the TLS protocol. Our infrastructure meets local regulatory, GDPR, industry-specific ISO standards, and PCI DSS security requirements.

Meet DataGrip, our new database IDE that is tailored to suit the specific needs of professional SQL developers. Allows you to execute queries in different modes and provides a local history that keeps track of all your activity and protects you from losing your work. Lets you jump to any table, view, or procedure by its name via the corresponding action, or directly from its usages in the SQL code. Gives you an extended insight into how your queries work and into the database engine behavior, so you can make your queries more efficient. DataGrip provides context-sensitive code completion, helping you to write SQL code faster. Completion is aware of the tables structure, foreign keys, and even database objects created in code you're editing. DataGrip detects probable bugs in your code and suggests the best options to fix them on the fly. It will immediately let you know about unresolved objects, using keywords as identifiers and always offers a way to fix the problems.

Aqua Data Studio is a multiple-platform, integrated development environment (IDE) for data. It provides benefits to a variety of data-centric roles, allowing them to manage a wide range of data sources. Aqua Data Studio provides scalable, cross-platform data management, supporting IT and data-centric specialists, including developers, database administrators, as well as data analysts, data modelers, and data architects. Simplifies tedious tasks involving SQL queries, data, result sets, schema, data models, files, instances, servers, as well as automation. Aqua Data Studio can be installed on the three popular operating systems: Microsoft Windows, Apple macOS, and Linux. The graphical user interface can display the nine of the most widely spoken languages: English, Spanish, French, German, Korean, Portuguese, Japanese, and Chinese. Aqua Data Studio supports over 40 of the most popular data source platforms, including relational, NoSQL, as well as managed cloud data source

QuintaDB is an online web form and database builder. You do not need to spend time learning any programming language or web frameworks. Create and customize forms, charts, maps in a few clicks and put them on your forum, blog or web page. Automate your business management. Full control over work on apps. Email and SMS notifications. Ability to specify conditional actions and conditional formatting. Customer portal. Storing data online in a relational database with a usable and effective interface, without the need to purchase your own server. 24-hour access to information from anywhere in the world. Integration of web forms, tables, graphs, maps as a widget on a web page, forum or blog. Wide opportunities for customization allows you to create an individual design of the widget.

SQL Server Data Tools (SSDT) transforms database development by introducing a ubiquitous, declarative model that spans all the phases of database development inside Visual Studio. You can use SSDT Transact-SQL design capabilities to build, debug, maintain, and refactor databases. You can work with a database project, or directly with a connected database instance on or off-premise. Developers can use familiar Visual Studio tools for database development. Tools such as: code navigation, IntelliSense, language support that parallels what is available for C# and Visual Basic, platform-specific validation, debugging, and declarative editing in the Transact-SQL editor. SSDT also provides a visual Table Designer for creating and editing tables in either database projects or connected database instances. While you are working on your database projects in a team-based environment, you can use version control for all the files.

Database X-Ray is a must-have SQL Server utility that allows the viewing of all database objects in a tabular format, and shows relationships between each object, including objects referenced by a given object, as well as objects that reference that object. This includes Tables, Views, Stored Procedures, Functions, and Triggers, allowing you to see at a glance what will be affected by deleting or changing an object in your database. (You won't get that from a database diagram!) In addition, you can view the DDL (Data Definition Language) or code that created each object, copy it to the clipboard, and use it in any way you like. All you need to get started is a valid connection string to a database that can be accessed from wherever you install Database X-Ray, whether local or remote. Works with Azure SQL Database too!

Natively store data for graph, document and search needs. Utilize feature-rich access with one query language. Map data natively to the database and access it with the best patterns for the job – traversals, joins, search, ranking, geospatial, aggregations – you name it. Polyglot persistence without the costs. Easily design, scale and adapt your architectures to changing needs and with much less effort. Combine the flexibility of JSON with semantic search and graph technology for next generation feature extraction even for large datasets.

Platoo - India's #1st DIY virtual events platform, capable of solving all your virtual events needs in one go! A 100% customizable platform - Platoo allows you to host events that meet your business objectives, Drive Engagement & Maximize ROI. Our expertise and experience allows us to craft unique and surreal virtual experiences for your audiences. Things that set us apart are Fully Immersive, Low turnaround time, Highly Optimized & Robust, AL based Networking and 100% Customizable Platform.

Tabular is an open table store from the creators of Apache Iceberg. Connect multiple computing engines and frameworks. Decrease query time and storage costs by up to 50%. Centralize enforcement of data access (RBAC) policies. Connect any query engine or framework, including Athena, BigQuery, Redshift, Snowflake, Databricks, Trino, Spark, and Python. Smart compaction, clustering, and other automated data services reduce storage costs and query times by up to 50%. Unify data access at the database or table. RBAC controls are simple to manage, consistently enforced, and easy to audit. Centralize your security down to the table. Tabular is easy to use plus it features high-powered ingestion, performance, and RBAC under the hood. Tabular gives you the flexibility to work with multiple “best of breed” compute engines based on their strengths. Assign privileges at the data warehouse database, table, or column level.

Flexibility and diversity of the features make it possible to create an app that perfectly suits your taste. Dozens of types of fields, including text, number, date/time, checkboxes, currency, image, file, calculation, locations, relations and others. Displaying data in the form of a list, a set of cards, a table, on a map, or in a calendar. Performing Data analysis, including aggregation, charting, sorting, grouping, and filtering entries by any fields. Memento allows the synchronizing of data with the cloud and provides various tools for teamwork. Huge functionality for experienced users and simplicity for the ones who just want to organize the everyday life are connected in a single solution that do work for numerous cases. Memento supports offline work. You can transfer data in the offline mode and synchronize it with the cloud later.Memento's catalog of user templates contains thousands of predefined, ready-to-use libraries to use directly or serve as a starting place.

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there’s no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets. Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a unified metadata repository across various services, crawl data sources to discover schemas and populate your Catalog with new and modified table and partition definitions, and maintain schema versioning.

In order to deal with sparse data, the Raijin Database uses a flat JSON representation for the data records. The Raijin Database supports SQL as its primary query language while lifting some of SQL's limitations. Data compression not only saves disk space but provides a performance boost with modern CPUs. Most NoSQL solutions are inefficient at or totally lack support for analytical queries. Raijin DB supports group by and aggregations using standard SQL syntax. Vectorized execution and cache-friendly algorithms allow large amounts of data to be operated on. Backed by optimized SIMD instructions (SSE2/AVX2) and a modern compressed hybrid columnar storage layer it ensures that your CPUs are not wasting cycles. This gives unparalleled data-crunching capabilities an order of magnitude faster compared to other solutions written in higher level or even interpreted languages which are inefficient at processing large amounts of data.

A system is worthwhile for business only if it helps make business decisions, so looking at the data from different angles is crucial for business decision makers. Allowing end-users to instantly get the data they need adds value to your software, reduces end user churn, and provides a competitive advantage. It takes up to several workdays to add a new report to an IT system. Adding and maintaining dozens of reports overloads your developers, and is one of the reasons why you can't ship new versions on time. With Active Query Builder, users take control and responsibility for creating and maintaining their reports. Users can reconfigure reports whenever they need to with zero intervention from your side. If you're already using a reporting system in your app, Active Query Builder will add value to it by allowing you to create new data sources for reports.

Use Ignite as a traditional SQL database by leveraging JDBC drivers, ODBC drivers, or the native SQL APIs that are available for Java, C#, C++, Python, and other programming languages. Seamlessly join, group, aggregate, and order your distributed in-memory and on-disk data. Accelerate your existing applications by 100x using Ignite as an in-memory cache or in-memory data grid that is deployed over one or more external databases. Think of a cache that you can query with SQL, transact, and compute on. Build modern applications that support transactional and analytical workloads by using Ignite as a database that scales beyond the available memory capacity. Ignite allocates memory for your hot data and goes to disk whenever applications query cold records. Execute kilobyte-size custom code over petabytes of data. Turn your Ignite database into a distributed supercomputer for low-latency calculations, complex analytics, and machine learning.

Don’t change your existing habits, our plug-in sits on top of your existing query editor so we always catch you where you are. That means we don’t need any integrations into your data or metadata. Using our SQL repository, find and reuse your team’s most relevant queries. Save, share, tag, and create folders and versions for your SQL work. Stop writing repetitive code and reuse your teammate’s work. For your own queries, use snippets to enhance your productivity directly in your IDE. With no access to your data and no integration needed. Sherloq is the one place for all your ad-hoc SQL queries. Using the AI SQL repo plug-in, you can collaboratively manage, save, and share your SQL code, without leaving your IDE. It’s collaborative but also has a place for your own personal work. It can be used by people that love data and understand it, and by those that don’t. Automatically save your SQL history across the entire team.

ASKY - Database-like Power For Your CSV Files... Just Point-and-Click! Find & fix bad CSV data. Query. Get totals/avgs. Fast & easy! Database-like functionality... without the database hassles. ULTRA HIGH SPEED: ASKY flies through your large plain-text CSV data files thanks to optimized program code and design. EASY TO USE: Point-and-click easy - NO language or commands to learn. Just select your data files, a few settings, and click GO. POWERFUL: SQL databases?? Don't need them. Packed with tools, ASKY is industrial-strength. Work with UNLIMITED files/data size. Sift out the bad records from the good: Have data where the number of fields just don't line up? The SIFTER will separate out the bad stuff for you to straighten out. Fix them up: The UTILITIES section has specialized tools to move/replace data from one field to another, add/delete fields, and rearrange field order. Query it all: Use the point-and-click QUERY to pull records that meet your exact criteria

The BASIS Database Management System (DBMS) provides the developer with relational access and high speed direct navigational access to their data. The BASIS DBMS provides robust and powerful functionality allowing developers the flexibility to combine powerful SQL statements and relational data access methods with the performance and control of navigational operations such as direct table and index access and direct table movement. In addition, the BASIS SQL engine enables developers to execute queries and other SQL statements from third party products. Combining these two powerful data access methods returns the result set from an SQL query or from a table opened directly on the server via the highly optimized BASIS ISAM database engine. The result is an easy-to-use interface that supports SQL commands and direct-result-set navigation, all in one integrated solution.

The Unified Analytics Warehouse. Highest performing analytics and machine learning at extreme scale. As the criteria for data warehousing continues to evolve, tech research analysts are seeing new leaders in the drive for game-changing big data analytics. Vertica powers data-driven enterprises so they can get the most out of their analytics initiatives with advanced time-series and geospatial analytics, in-database machine learning, data lake integration, user-defined extensions, cloud-optimized architecture, and more. Our Under the Hood webcast series lets you to dive deep into Vertica features – delivered by Vertica engineers and technical experts – to find out what makes it the fastest and most scalable advanced analytical database on the market. From ride sharing apps and smart agriculture to predictive maintenance and customer analytics, Vertica supports the world’s leading data-driven disruptors in their pursuit of industry and business transformation.

Machbase, a time-series database that stores and analyzes a lot of sensor data from various facilities in real time, is the only DBMS solution that can process and analyze big data at high speed. Experience the amazing speed of Machbase! It is the most innovative product that enables real-time processing, storage, and analysis of sensor data. High speed sensor data storage and inquiry for sensor data by embedding DBMS in an Edge devices. Best data storage and extraction performance by DBMS running in a single server. Configuring Multi-node cluster with the advantages of availability and scalability. Total management solution of Edge computing for device, connectivity and data.

GeoSpock enables data fusion for the connected world with GeoSpock DB – the space-time analytics database. GeoSpock DB is a unique, cloud-native database optimised for querying for real-world use cases, able to fuse multiple sources of Internet of Things (IoT) data together to unlock its full value, whilst simultaneously reducing complexity and cost. GeoSpock DB enables efficient storage, data fusion, and rapid programmatic access to data, and allows you to run ANSI SQL queries and connect to analytics tools via JDBC/ODBC connectors. Users are able to perform analysis and share insights using familiar toolsets, with support for common BI tools (such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™), and Data Science and Machine Learning environments (including Python Notebooks and Apache Spark). The database can also be integrated with internal applications and web services – with compatibility for open-source and visualisation libraries such as Kepler and Cesium.js.

Using DBHawk, our customers were able to comply with GDPR, HIPAA, SOX, GLBA, and other regulations and were able to implement SOD. Self-Service BI & Ad-Hoc Reporting Tool with feature to define Data Access Policy, Connect to multiple Data sources, Build Powerful SQL Charts and data Dashboards. DBHawk SQL editor is an advanced editor that allows users to build, edit, and run database queries with a web-based interface. DBHawk Query Builder is supported with all major databases such as Oracle, Microsoft SQL Server, PostgreSQL, Greenplum, MySQL, DB2, Amazon Redshift, Hive, Amazon Athena. Database SQL tasks and batch job automation with a web-based centralized tool. Secure access to SQL, NoSQL and Cloud databases with our all-in-one data platform. Trusted by our customers to protect and access their data. Centralized Security, Auditing and insights about your user’s activities.

Serverless computing is ideal for systems with unpredictable loads. Storage scaling, query execution, and backup layers are fully automated. The compatibility of the service API in serverless mode allows you to use the AWS SDKs for Java, JavaScript, Node.js, .NET, PHP, Python, and Ruby. YDB is hosted in three availability zones, ensuring availability even if a node or availability zone goes offline. If equipment or a data center fails, the system automatically recovers and continues working. YDB is tailored to meet high-performance requirements and can process hundreds of thousands of transactions per second with low latency. The system was designed to handle hundreds of petabytes of data.

Inery is layer-1 blockchain designed to offer the solution of decentralized database management with the vision to enable a new paradigm for data. It lays the foundation for web3 by seamlessly connecting with systems, applications, and layer-1 networks. Inery’s data management system (IneryDB) integrates blockchain functionalities with distributed database management properties. Built on a decentralized infrastructure, IneryDB supports high throughput, low latency, complex query search and owner-controlled data assets. IneryDB allows developers and enterprises to securely store, access, manage and deliver data on a decentralized infrastructure supporting various industries. Inery's layer-1 blockchain facilitates secure data sharing with greater speed and better security. It lays the foundation of the underlying infrastructure to deploy decentralized applications and allow cross-chain interoperability.

Imply Cloud is a managed service for AWS. With Imply Cloud, you can explore and visualize large-scale activity streams without the need to build and manage your own infrastructure. Imply Cloud deploys nodes in a Virtual Private Cloud (VPC) running in your Amazon Web Services account. You own the cluster and the data. Leverage Imply Analytics to explore all of your event streams. Find root causes, compare ad hoc slices of data, and share insights with teammates. Directly connect BI tools such as Tableau, Zeppelin, Looker, etc. to your cluster. You have complete flexibility to choose the tools to use for reporting and dashboarding. You can also use SQL or direct Druid queries to build your own applications.

DbSchema is for visual designing the schema in a team, deploy and document the schema. Other integrated features like data explorer, visual query editor, data generator, etc., makes DbSchema an every-day tool for everybody who interacts with databases. DbSchema supports all relational and No-SQL databases, including MySQL, PostgreSQL, SQLite, Microsoft SQL Server, MongoDB, MariaDB, Redshift, Snowflake, Google and more. DbSchema is reverse-engineering the database schema from the database and visualize it as diagrams. You will interact with the database using diagrams and visual tools. DbSchema model is using its copy of schema structure, independent from the database. This allows the schema deployment on multiple databases, save the design model to file, store it in GIT and design the schema in a team, design the schema without database connectivity, compare different versions of the schema and generate SQL migration scripts.

dbForge Data Compare for SQL Server is a specialized GUI-based tool designed to compare table data in SQL Server without the necessity to write code. Key Features: - Support for SQL Server tables, views, data in backups, data in script folders, SQL Azure Cloud, and custom queries - Direct results viewing with full-text data search, easy navigation, sorting, and filtering - Restoration of missing or damaged data down to a single row from native backups - Data synchronization through wizards, allowing for deployment of selected or all changes - Generation of data deployment scripts which can be executed directly or saved for recurring use - Deployment to SQL Server databases, SQL Azure cloud databases, and SQL Server on Amazon RDS - Automation of routine data comparison and synchronization tasks via a command-line interface dbForge Data Compare integrates with SQL Server Management Studio, enhancing its default functionality within a familiar interface.

AllegroGraph is a breakthrough solution that allows infinite data integration through a patented approach unifying all data and siloed knowledge into an Entity-Event Knowledge Graph solution that can support massive big data analytics. AllegroGraph utilizes unique federated sharding capabilities that drive 360-degree insights and enable complex reasoning across a distributed Knowledge Graph. AllegroGraph provides users with an integrated version of Gruff, a unique browser-based graph visualization software tool for exploring and discovering connections within enterprise Knowledge Graphs. Franz’s Knowledge Graph Solution includes both technology and services for building industrial strength Entity-Event Knowledge Graphs based on best-of-class tools, products, knowledge, skills and experience.

Building the data layer for modern applications. Prisma replaces traditional ORMs. Simplified & type-safe database access. Declarative migrations & data modeling. Powerful & visual data management. Auto-generated and type-safe database client. Prisma client simplifies database access. It lets you read and write data to your database using your favorite programming language. Prisma makes it easy to implement GraphQL servers. Learn how to use the Prisma client to access your database inside your resolvers.

dbForge Query Builder for MySQL is a visual tool that allows creating any sort of MySQL queries, from simple lookups to complex JOINs. The tool provides broad compatibility options and helps constructing and editing complex MySQL queries in a few clicks. You don't need to sweat building complex code - just "draw" your query on a diagram. Key Features: * Powerful visual MySQL query builder functionality * MySQL statement generator executes created queries and edits tables data * Combine a few queries to a sub-query via visual MySQL query editor * Manage databases proactively * Easily make JOINs between tables * Discover trends from mountains of data * Cut the time you spend on writing complex queries You can always find the latest version of the product on the official Devart website.

Connect your data sources, configure some data views (i.e. SQL scripts), configure a GPT Wizard, create a custom GPT, and share it with your users, employees, or clients. Expose a specific set of data (using SQL) to train GPT, and then chat with it in natural language. Data insights just got a whole lot easier, you can follow simple steps and let DataLang do the heavy lifting. Configure your connection string and give it a name. Use SQL to train GPT with your own data rows, select the data sources to train GPT with, and leverage GPT to talk to your data in real time. Create custom GPT Assistants to chat with your data. Configure a GPT to share it with your users, or customers. Your connection string credentials are securely encrypted in our system and only decrypted when necessary for data operations. We are committed to the security and confidentiality of your information. You can ask DataLang almost any question you would ask a data analyst.

Implement structural change and perform database reorganizations without impacting user productivity or application availability. The new global market makes demands on information technology systems around the clock. At any time of day, it's the prime business hour somewhere in the world. The Internet and electronic commerce allow people to order goods and services at any hour. With traditional database reorganization methods, international companies with geographically dispersed users cannot avoid locking out some of their users. When that happens, retrieving data involves extensive CPU, I/O and elapsed time, costing time, money and end-user productivity. In turn, customers are lost and revenue decreases. To reduce these costs, data must be reorganized. Bradmark's DBControl provides the capability to reorganize database tables and its respective objects while transactions are running against it.

Need to connect your proprietary database to the world's most popular database tools, such as Access, Visual Basic, PowerBuilder, or Crystal Reports? It's easy with the Dr. DeeBee® ODBC Driver Kit! The Dr. DeeBee ODBC Driver Kit allows you to create ODBC database drivers quickly and easily. This ODBC tool allows you to ODBC enable your database, adding database connectivity to any proprietary database without needing to learn all the intricacies of ODBC. The Dr. DeeBee ODBC Driver Kit contains the complete source code for a fully functional ODBC driver that you can modify and distribute royalty-free. All you have to do is implement calls like OpenTable, NextRecord, GetData, and PutData, then recompile the driver. It's that simple! The Network Edition contains the complete source code for a fully functional "network enabled", full featured, Level 2 (most), ODBC 3.0 driver that you can modify and distribute royalty-free.

Teksouth’s EntelliFusion is a fully managed, end-to-end solution. Rather than piecing together several different platforms for data prep, data warehousing and governance, then deploying a great deal of IT resources to figure out how to make it all work; EntelliFusion's architecture provides a one-stop shop for outfitting an organizations data infrastructure. With EntelliFusion, data silos become centralized in a single platform for cross functional KPI's, creating holistic and powerful insights. EntelliFusion’s “military-born” technology has proven successful against the strenuous demands of the USA’s top echelon of military operations. In this capacity, it was massively scaled across the DOD for over twenty years. EntelliFusion is built on the latest Microsoft technologies and frameworks which allows it to be continually enhanced and innovated. It is data agnostic, infinitely scalable, and guarantees accuracy and performance to promote end-user tool adoption.

Hue brings the best querying experience with the most intelligent autocomplete and query editor components. The tables and storage browsers leverage your existing data catalog knowledge transparently. Help users find the correct data among thousands of databases and self-document it. Assist users with their SQL queries and leverage rich previews for links, sharing from the editor directly in Slack. Several apps, each one specialized in a certain type of querying are available. Data sources can be explored first via the browsers. The editor shines for SQL queries. It comes with an intelligent autocomplete, risk alerts, and self-service troubleshooting. Dashboards focus on visualizing indexed data but can also query SQL databases. You can now search for certain cell values in the table and the results are highlighted. To make your SQL editing experience, Hue comes with one of the best SQL autocomplete on the planet.

Free multi-platform database tool for developers, database administrators, analysts and all people who need to work with databases. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, MS Access, Teradata, Firebird, Apache Hive, Phoenix, Presto, etc. Copy As: format configuration editor was added. Extra configuration for filter dialog (performance). Sort by column as fixed (for small fetch sizes). Case-insensitive filters support was added. Plaintext view now support top/bottom dividers. Data editor was fixed (when column name conflicts with alias name). Duplicate row(s) command was fixed for multiple selected rows. Edit sub-menu was returned to the context menu. Columns auto-size configuration was added. Dictionary viewer was fixed (for read-only connections). Current/selected row highlighting support was added (configurable).

Trino is a query engine that runs at ludicrous speed. Fast-distributed SQL query engine for big data analytics that helps you explore your data universe. Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low-latency analytics. The largest organizations in the world use Trino to query exabyte-scale data lakes and massive data warehouses alike. Supports diverse use cases, ad-hoc analytics at interactive speeds, massive multi-hour batch queries, and high-volume apps that perform sub-second queries. Trino is an ANSI SQL-compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset, and many others. You can natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. Access data from multiple systems within a single query.

Ispirer SQLWays Toolkit is an easy-to-use cross-database migration tool. It allows to migrate the entire database schema, including SQL objects, tables and data from source to target databases. Smart conversion, teamwork, technical support, the tool customization according to your project requirements – all of these capabilities are combined in one solution. Customization option. The migration process using SQLWays Toolkit can be customized to tailor specific business needs. Essentially, it accelerates database modernization considerably. High level of automation. Smart migration core provides a high level of automation for the migration process, ensuring a consistent and reliable migration. Code security. Privacy is of utmost importance to us. That is why we developed the tool that does not save or send the code structures it processes. With our tool, you can be sure that your data is safe, since our tool can work even without an Internet connection.

The interface for your database. View, update, and visualize your data collaboratively, without needing to be a database expert. No one team should have all that power. Queries, columns, rows, tables, and schemas without writing SQL. Edit your data in-line and collaboratively like you would a spreadsheet. Ditch the random snippets and notes with blocks of SQL queries, organize them here. Share your queries with the rest of the team so they’re not stuck recreating the wheel. The easiest way to query your data without ever writing a single line of SQL. Outerbase connects to the most popular databases. Select your schemas, tables, columns, and more quickly. Reduce context-switching and do it all in our intuitive user interface. Simple experiences for complex data like JSON, timestamps, and ENUMs. Embed variables to create powerful and flexible queries. Create stunning dashboards in a couple of clicks.

Quasar's brain is QuasarDB, a high-performance, distributed, column-oriented timeseries database management system designed from the ground up to deliver real-time on petascale use cases. Up to 20X less disk usage. Quasardb ingestion and compression capabilities are unmatched. Up to 10,000X faster feature extraction. QuasarDB can extract features in real-time from the raw data, thanks to the combination of a built-in map/reduce query engine, an aggregation engine that leverages SIMD from modern CPUs, and stochastic indexes that use virtually no disk space. The most cost-effective timeseries solution, thanks to its ultra-efficient resource usage, the capability to leverage object storage (S3), unique compression technology, and fair pricing model. Quasar runs everywhere, from 32-bit ARM devices to high-end Intel servers, from Edge Computing to the cloud or on-premises.