Alternatives to QueryPlus

Teradata VantageCloud: Open, Scalable Cloud Analytics for AI VantageCloud is Teradata’s cloud-native analytics and data platform designed for performance and flexibility. It unifies data from multiple sources, supports complex analytics at scale, and makes it easier to deploy AI and machine learning models in production. With built-in support for multi-cloud and hybrid deployments, VantageCloud lets organizations manage data across AWS, Azure, Google Cloud, and on-prem environments without vendor lock-in. Its open architecture integrates with modern data tools and standard formats, giving developers and data teams freedom to innovate while keeping costs predictable.

Experience serverless and interactive data querying with IBM Cloud Object Storage, enabling you to analyze your data directly at its source without the need for ETL processes, databases, or infrastructure management. IBM Cloud SQL Query leverages Apache Spark, a high-performance, open-source data processing engine designed for quick and flexible analysis, allowing SQL queries without requiring ETL or schema definitions. You can easily perform data analysis on your IBM Cloud Object Storage via our intuitive query editor and REST API. With a pay-per-query pricing model, you only incur costs for the data that is scanned, providing a cost-effective solution that allows for unlimited queries. To enhance both savings and performance, consider compressing or partitioning your data. Furthermore, IBM Cloud SQL Query ensures high availability by executing queries across compute resources located in various facilities. Supporting multiple data formats, including CSV, JSON, and Parquet, it also accommodates standard ANSI SQL for your querying needs, making it a versatile tool for data analysis. This capability empowers organizations to make data-driven decisions more efficiently than ever before.

ScaleGrid is a fully managed Database-as-a-Service (DBaaS) platform that helps you automate your time-consuming database administration tasks both in the cloud and on-premises. ScaleGrid makes it easy to provision, monitor, backup, and scale open-source databases. It offers advanced security, high availability, query analysis, and troubleshooting support to improve your deployments' performance. The following databases are supported: - MySQL - PostgreSQL - Redis™. - MongoDB®, database - Greenplum™ (coming soon) ScaleGrid supports both public and privately-owned clouds such as AWS, Azure and Google Cloud Platform (GCP), DigitalOcean and Linode, Oracle Cloud Infrastructure, (OCI), VMware, and OpenStack. ScaleGrid is used by thousands of developers, startups, as well as enterprise customers such as Accenture, Meteor and Atlassian. It handles all your database operations at any scale, so you can concentrate on your application performance.

Explore, create, and manage databases utilizing Valentina DB, MySQL, MariaDB, PostgreSQL, and SQLite at no cost. Generate comprehensive business reports through Valentina Studio Pro, either on Valentina Server or within an application that utilizes an Application Developer Kit. Engage in backward engineering with standard practices while also employing forward engineering techniques in Valentina Studio Pro. Conduct reverse engineering to produce diagrams for pre-existing databases, and easily integrate new elements into these diagrams. Write SQL queries with features such as auto-completion and syntax highlighting, while also defining and managing favorite queries and accessing recent ones seamlessly. Benefit from a function browser that provides a dictionary for each SQL function as well as consoles that report errors, warnings, and performance metrics. Efficiently search and export result records in various formats including CSV, JSON, and Excel, while simultaneously editing the properties of multiple database objects. Delve deep into tables and fields with remarkable speed, and manage the addition or removal of users and groups, along with their associated privileges. This multifaceted approach ensures that users can handle database management with efficiency and effectiveness.

Infobright DB is an enterprise-grade database that utilizes a columnar storage architecture, enabling business analysts to efficiently analyze data and rapidly generate reports. This versatile database can be implemented both on-premise and in cloud environments. It is designed to store and analyze substantial amounts of big data, facilitating interactive business intelligence and handling complex queries with ease. By enhancing query performance and lowering storage costs, it significantly boosts overall efficiency in analytics and reporting processes. With capabilities to manage hundreds of terabytes of data, Infobright DB overcomes the limitations often faced by traditional databases. This solution supports big data applications while removing the need for indexing and partitioning, resulting in no administrative burden. In an era where machine data is growing exponentially, IgniteTech’s Infobright DB is purpose-built to deliver exceptional performance for large quantities of machine-generated information. Furthermore, it allows users to manage intricate ad hoc analytical environments without the heavy database administration demands seen in other solutions. This makes it an invaluable tool for organizations seeking to optimize their data handling and analysis.

Apache Druid is a distributed data storage solution that is open source. Its fundamental architecture merges concepts from data warehouses, time series databases, and search technologies to deliver a high-performance analytics database capable of handling a diverse array of applications. By integrating the essential features from these three types of systems, Druid optimizes its ingestion process, storage method, querying capabilities, and overall structure. Each column is stored and compressed separately, allowing the system to access only the relevant columns for a specific query, which enhances speed for scans, rankings, and groupings. Additionally, Druid constructs inverted indexes for string data to facilitate rapid searching and filtering. It also includes pre-built connectors for various platforms such as Apache Kafka, HDFS, and AWS S3, as well as stream processors and others. The system adeptly partitions data over time, making queries based on time significantly quicker than those in conventional databases. Users can easily scale resources by simply adding or removing servers, and Druid will manage the rebalancing automatically. Furthermore, its fault-tolerant design ensures resilience by effectively navigating around any server malfunctions that may occur. This combination of features makes Druid a robust choice for organizations seeking efficient and reliable real-time data analytics solutions.

XTDB is a unique SQL database that offers immutability to enhance application development and guarantee data compliance. Its automatic data history preservation feature allows for extensive time-travel queries, enabling users to execute as-of queries and audits seamlessly with SQL commands. This innovative tool is relied upon by a multitude of organizations to revolutionize their dynamic and temporal applications. Getting started with XTDB is straightforward, whether through HTTP, plain SQL, or various programming languages, as it only necessitates a client driver or Curl. Users can easily insert data in an immutable way, conduct time-based queries, and perform intricate joins. Furthermore, risk systems see direct advantages from its bitemporal modeling capabilities. By employing valid time, the database facilitates the correlation of out-of-sync trade data, simplifying compliance procedures. One of the significant challenges organizations face is the continuous change in data exposure; however, XTDB addresses this issue effectively by streamlining data exchange and enabling advanced temporal analysis. Additionally, modeling future changes in pricing, taxes, and discounts necessitates robust temporal query capabilities, which XTDB provides efficiently. Ultimately, XTDB stands out as a powerful solution for managing complex temporal data needs.

You can create flat or relational databases with unlimited fields, tables, and rows. A custom report builder is included. Create custom reports by connecting to compatible ODBC databases. You can create your own databases. Here are some highlights: Filter tables instantly - Ultra simple graphical-user-interface - One-click table and data form creation - You can open up to 5 databases simultaneously Export your data to comma-separated files - Create custom reports to all your databases - A complete helpfile for creating database reports - You can print tables and queries directly from your data grid - Supports any SQL standard your ODBC compatible databases require For best performance and user experience, please install and run this database app with full administrator rights. Requirements: . 1024x768 Display Size . Windows 98 / XP / Windows 8 / Windows 10 - 32bit or 64bit No Java or DotNet are required. Green Energy Software. One step at a time, saving the planet

SingleStore, previously known as MemSQL, is a highly scalable and distributed SQL database that can operate in any environment. It is designed to provide exceptional performance for both transactional and analytical tasks while utilizing well-known relational models. This database supports continuous data ingestion, enabling operational analytics critical for frontline business activities. With the capacity to handle millions of events each second, SingleStore ensures ACID transactions and allows for the simultaneous analysis of vast amounts of data across various formats, including relational SQL, JSON, geospatial, and full-text search. It excels in data ingestion performance at scale and incorporates built-in batch loading alongside real-time data pipelines. Leveraging ANSI SQL, SingleStore offers rapid query responses for both current and historical data, facilitating ad hoc analysis through business intelligence tools. Additionally, it empowers users to execute machine learning algorithms for immediate scoring and conduct geoanalytic queries in real-time, thereby enhancing decision-making processes. Furthermore, its versatility makes it a strong choice for organizations looking to derive insights from diverse data types efficiently.

The enterprise database for time series, documents, and vectors. Store any type data and combine the simplicity and scalability NoSQL with SQL. CrateDB is a distributed database that runs queries in milliseconds regardless of the complexity, volume, and velocity.

Fujitsu Enterprise Postgres stands out as a highly dependable and powerful relational database tailored for businesses that demand exceptional query performance and consistent availability. Built on the acclaimed open-source platform PostgreSQL, it incorporates additional enterprise-level features that enhance both security and efficiency. The installation and management of Fujitsu Enterprise Postgres are handled by skilled database professionals from Fujitsu, who are also available to support the transition of data from your current database systems. Given its foundation in PostgreSQL, FEP offers remarkable compatibility with various systems and applications. Furthermore, the user-friendly, streamlined graphical interface significantly enhances the experience for database administrators carrying out essential functions like executing queries, conducting scans, and performing backups, ultimately making data management and reporting more user-friendly and effective. This comprehensive approach ensures that organizations can leverage their data to its fullest potential.

Presto serves as an open-source distributed SQL query engine designed for executing interactive analytic queries across data sources that can range in size from gigabytes to petabytes. It addresses the challenges faced by data engineers who often navigate multiple query languages and interfaces tied to isolated databases and storage systems. Presto stands out as a quick and dependable solution by offering a unified ANSI SQL interface for comprehensive data analytics and your open lakehouse. Relying on different engines for various workloads often leads to the necessity of re-platforming in the future. However, with Presto, you benefit from a singular, familiar ANSI SQL language and one engine for all your analytic needs, negating the need to transition to another lakehouse engine. Additionally, it efficiently accommodates both interactive and batch workloads, handling small to large datasets and scaling from just a few users to thousands. By providing a straightforward ANSI SQL interface for all your data residing in varied siloed systems, Presto effectively integrates your entire data ecosystem, fostering seamless collaboration and accessibility across platforms. Ultimately, this integration empowers organizations to make more informed decisions based on a comprehensive view of their data landscape.

Apache Phoenix provides low-latency OLTP and operational analytics on Hadoop by merging the advantages of traditional SQL with the flexibility of NoSQL. It utilizes HBase as its underlying storage, offering full ACID transaction support alongside late-bound, schema-on-read capabilities. Fully compatible with other Hadoop ecosystem tools such as Spark, Hive, Pig, Flume, and MapReduce, it establishes itself as a reliable data platform for OLTP and operational analytics through well-defined, industry-standard APIs. When a SQL query is executed, Apache Phoenix converts it into a series of HBase scans, managing these scans to deliver standard JDBC result sets seamlessly. The framework's direct interaction with the HBase API, along with the implementation of coprocessors and custom filters, enables performance metrics that can reach milliseconds for simple queries and seconds for larger datasets containing tens of millions of rows. This efficiency positions Apache Phoenix as a formidable choice for businesses looking to enhance their data processing capabilities in a Big Data environment.

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

CockroachDB: Cloud-native distributed SQL. Your cloud applications deserve a cloud-native database. Cloud-based apps and services need a database that can scale across clouds, reduces operational complexity, and improves reliability. CockroachDB provides resilient, distributed SQL with ACID transactions. Data partitioned by geography is also available. Combining CockroachDB and orchestration tools such as Mesosphere DC/OS and Kubernetes to automate mission-critical applications can speed up operations.

TimescaleDB brings the power of PostgreSQL to time-series and event data at any scale. It extends standard Postgres with features like automatic time-based partitioning (hypertables), incremental materialized views, and native time-series functions, making it the most efficient way to handle analytical workloads. Designed for use cases like IoT, DevOps monitoring, crypto markets, and real-time analytics, it ingests millions of rows per second while maintaining sub-second query speeds. Developers can run complex time-based queries, joins, and aggregations using familiar SQL syntax — no new language or database model required. Built-in compression ensures long-term data retention without high storage costs, and automated data management handles rollups and retention policies effortlessly. Its hybrid storage architecture merges row-based performance for live data with columnar efficiency for historical queries. Open-source and 100% PostgreSQL compatible, TimescaleDB integrates with Kafka, S3, and the entire Postgres ecosystem. Trusted by global enterprises, it delivers the performance of a purpose-built time-series system without sacrificing Postgres reliability or flexibility.

Vitess is a database clustering solution designed for horizontally scaling MySQL, merging key MySQL capabilities with the expansive scalability typically associated with NoSQL databases. Its intrinsic sharding capabilities allow for database growth without necessitating additional sharding logic within your application. Additionally, Vitess proficiently rewrites queries that could negatively impact performance, while employing caching strategies to manage queries effectively and minimize the risk of duplicate queries overwhelming your database. Functions such as master failovers and backups are seamlessly managed by Vitess, which also incorporates a lock server to oversee and manage servers, allowing your application to operate without concern for the underlying database architecture. By reducing the memory overhead associated with MySQL connections, Vitess enables servers to accommodate thousands of simultaneous connections efficiently. While native sharding isn't a feature of MySQL, the need for sharding is often crucial as your database expands, making Vitess an invaluable tool for scaling operations. Consequently, using Vitess can enhance both performance and reliability as you navigate the complexities of growing database demands.

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.

ZeusDB represents a cutting-edge, high-efficiency data platform tailored to meet the complexities of contemporary analytics, machine learning, real-time data insights, and hybrid data management needs. This innovative system seamlessly integrates vector, structured, and time-series data within a single engine, empowering applications such as recommendation systems, semantic searches, retrieval-augmented generation workflows, live dashboards, and ML model deployment to function from one centralized store. With its ultra-low latency querying capabilities and real-time analytics, ZeusDB removes the necessity for disparate databases or caching solutions. Additionally, developers and data engineers have the flexibility to enhance its functionality using Rust or Python, with deployment options available in on-premises, hybrid, or cloud environments while adhering to GitOps/CI-CD practices and incorporating built-in observability. Its robust features, including native vector indexing (such as HNSW), metadata filtering, and advanced query semantics, facilitate similarity searching, hybrid retrieval processes, and swift application development cycles. Overall, ZeusDB is poised to revolutionize how organizations approach data management and analytics, making it an indispensable tool in the modern data landscape.

The SQL editor in DatabaseSpy offers customizable auto-completion for SQL code, streamlining the process of developing queries. Users can run their SQL commands and view results instantly in multiple windows that can be arranged in tabs or stacked formats. Furthermore, DatabaseSpy enables asynchronous execution of queries, facilitating the handling of numerous SQL commands across different windows simultaneously, whether targeting distinct servers or executing various commands on the same server. Additionally, it supports SQL queries incorporating parameters, also referred to as SQL Templates, which enhance the versatility of queries by enabling users to easily experiment with complex join operations using various inputs. The example shown in the DatabaseSpy SQL Editor illustrates a query designed to retrieve all orders made by a particular customer for a specific product, demonstrating its practical application. This rich feature set significantly enhances the user's ability to craft and manage SQL queries efficiently.

Bid farewell to the annoyance of crafting intricate SQL queries! By simply importing your database schema, you can easily type your desired query in an intuitive interface. This tool allows for the effortless generation of complex SQL statements, eliminating the stress associated with creating the ideal query. It helps identify and rectify errors within your queries, saving you from the frustration of debugging your SQL code. Gain a deeper insight into queries with comprehensive explanations of their functionality. Understand the underlying logic of each query and the outcomes they yield. Enhance the clarity and readability of your SQL statements through an automatic formatting feature, ensuring your code remains tidy and accessible. With this user-friendly and intuitive platform, you can generate, correct, explain, and format your SQL queries seamlessly. Unlock the full potential of your data by leveraging advanced AI-powered features. Database Sensei is designed for developers, database administrators, and students who are eager to achieve faster and more efficient results, making it an invaluable tool for anyone working with databases. Whether you are a novice or an expert, this service transforms the way you interact with SQL.

Elevate your real-time decision-making capabilities with SAP IQ, our advanced columnar relational database management system (RDBMS) specifically designed for Big Data analytics. Experience unparalleled speed, robust power, and enhanced security, all while catering to extreme-scale enterprise data warehousing and analytics needs; this cost-effective and efficient RDBMS is perfectly integrated within the SAP Business Technology Platform. It can be deployed as a fully managed cloud service on a leading hyperscale platform, enabling seamless ingestion, storage, and querying of substantial data volumes through a relational data lake that supports various file types natively. Additionally, it offers a fully managed cloud solution for SAP IQ customers looking to leverage their existing Sybase investments, streamlining the transition of current SAP IQ databases to the cloud. By ensuring faster access to Big Data for applications and users, organizations can make swift, informed decisions in real-time, enhancing operational agility significantly. This combination of features ensures that businesses can keep pace with the rapidly evolving data landscape.

SQLBuilder.ai is a sophisticated AI-driven platform that streamlines the generation of SQL queries for users. By simply entering their specifications, users receive automatically generated SQL code tailored for their database needs. This platform boasts an array of features, such as a no-code SQL builder, an SQL syntax explainer, a query optimizer, code formatting tools, a syntax validator, and a no-code NoSQL query builder. Each of these functionalities is crafted to improve efficiency, allowing users to swiftly create, adjust, enhance, format, and check SQL queries without the need for in-depth coding expertise. With support for various programming languages and database systems, the platform caters to both experienced developers and those just beginning their journey in database querying. Furthermore, SQLBuilder.ai's user-friendly interface combined with its robust language capabilities empowers users to effortlessly convert their concepts and requirements into precise SQL queries. This ensures that both technical and non-technical users can confidently navigate the complexities of database management.

Effortlessly convert your spreadsheets and data files into efficient, production-ready APIs without the need for backend coding. Simply upload your data in formats like CSV, JSONL, or Parquet, use intuitive SQL commands to clean and join your datasets, and instantly create secure and well-documented API endpoints. The platform offers various built-in functionalities, including automatically generated OpenAPI documentation, API key-based security, geospatial filtering with H3 indexing, usage analytics, and high-speed query performance. Additionally, you can download the transformed datasets at your convenience, ensuring you are not locked into any vendor. This solution accommodates everything from individual files and merged datasets to public data portals with minimal configuration required. Key features include: - Effortless creation of secure and documented APIs directly from CSV, JSONL, and Parquet files. - The ability to execute familiar SQL queries for data cleaning, joining, and enrichment. - No need for backend setup or server maintenance, making it user-friendly. - Automatic generation of OpenAPI documentation for every endpoint established. - Enhanced security with API key protection and isolated data storage. - Advanced geospatial filtering, H3 indexing capabilities, and fast, scalable query optimization. - Supports a range of data integration scenarios, making it versatile for various use cases.

IT can swiftly and effortlessly establish data sources directly from the interface, allowing them to return to their own responsibilities while the business user assumes control. Users can view data from multiple sources displayed as graphs, charts, or tables on a single dashboard that refreshes in real-time. This enables the formulation of well-informed business decisions based on the latest intelligence presented in a clear and accessible manner. To effectively make decisions for your organization, having timely, precise, and easily interpretable data readily available is essential. Relying on IT to request reports and manually combine them to reach conclusions proves to be time-consuming and frequently ineffective. With Insite Analytics, IT can create queries in mere minutes from any data source. Furthermore, the results of these queries can be visualized on the business user’s dashboard in a manner that best illustrates the data, enhancing comprehension and facilitating better decision-making. Consequently, this streamlined process empowers both IT and business users, promoting efficiency and collaboration across the organization.

NGS-IQ offers integrated email and FTP capabilities along with the robust security features of IBM i and the ability to query external data sources. This solution allows you to enhance your reporting capabilities without the need for additional servers or databases in your network. With NGS-IQ™, business users and analysts can create queries that produce outputs in various formats, including Excel, Access, Word, PDF, CSV, TXT, HTML, and XML, as well as generate analytical reports and construct multidimensional models. Furthermore, it allows for the integration of web reporting that incorporates charts and drill-down functionalities into your intranet or web portal. Query developers benefit from a range of powerful, time-efficient tools, such as conditional (if-then) logic, calculations for new columns (fields), and run-time prompts for selecting records and applying calculation formulas. Additionally, the platform simplifies table (file) joins—whether inner, outer, exception, one-to-many, or unions—while offering program exits that facilitate unique data access and manipulation. The inclusion of query usage statistics and change management also enhances the overall efficiency of the querying process. Ultimately, NGS-IQ equips users with a comprehensive toolkit to streamline data reporting and analysis.

Explore a diverse array of SQL features that allow you to build applications ranging from straightforward analytics to complex hybrid transactional and analytical processing. If you're eager to uncover insights from your data, striving for efficiency, or facing tight deadlines, MonetDB can deliver query results in just seconds or even faster. For those looking to leverage or modify their own code and requiring specialized functions, MonetDB provides hooks to integrate user-defined functions in SQL, Python, R, or C/C++. Become part of the vibrant MonetDB community that spans over 130 countries, including students, educators, researchers, startups, small businesses, and large corporations. Embrace the forefront of analytical database technology and ride the wave of innovation! Save time with MonetDB’s straightforward installation process, allowing you to quickly get your database management system operational. This accessibility ensures that users of all backgrounds can efficiently harness the power of data for their projects.

Tiger Data reimagines PostgreSQL for the modern era — powering everything from IoT and fintech to AI and Web3. As the creator of TimescaleDB, it brings native time-series, event, and analytical capabilities to the world’s most trusted database engine. Through Tiger Cloud, developers gain access to a fully managed, elastic infrastructure with auto-scaling, high availability, and point-in-time recovery. The platform introduces core innovations like Forks (copy-on-write storage branches for CI/CD and testing), Memory (durable agent context and recall), and Search (hybrid BM25 and vector retrieval). Combined with hypertables, continuous aggregates, and materialized views, Tiger delivers the speed of specialized analytical systems without sacrificing SQL simplicity. Teams use Tiger Data to unify real-time and historical analytics, build AI-driven workflows, and streamline data management at scale. It integrates seamlessly with the entire PostgreSQL ecosystem, supporting APIs, CLIs, and modern development frameworks. With over 20,000 GitHub stars and a thriving developer community, Tiger Data stands as the evolution of PostgreSQL for the intelligent data age.

IBM Db2 encompasses a suite of data management solutions, prominently featuring the Db2 relational database. These offerings incorporate AI-driven functionalities designed to streamline the management of both structured and unstructured data across various on-premises and multicloud settings. By simplifying data accessibility, the Db2 suite empowers businesses to leverage the advantages of AI effectively. Most components of the Db2 family are integrated within the IBM Cloud Pak® for Data platform, available either as additional features or as built-in data source services, ensuring that nearly all data is accessible across hybrid or multicloud frameworks to support AI-driven applications. You can easily unify your transactional data repositories and swiftly extract insights through intelligent, universal querying across diverse data sources. The multimodel functionality helps reduce expenses by removing the necessity for data replication and migration. Additionally, Db2 offers enhanced flexibility, allowing for deployment on any cloud service provider, which further optimizes operational agility and responsiveness. This versatility in deployment options ensures that businesses can adapt their data management strategies as their needs evolve.

Sharperlight is an advanced reporting tool that comprises a collection of individual components forming its essential features. These components can function autonomously, allowing you to customize and tailor your data presentation precisely to your specifications. With Sharperlight, you can generate dynamic tables, charts, pivot tables, and presentation reports through its integrated web service. It includes a feature called Publisher, which is designed for overseeing and setting up these published queries. Users can filter and refresh each query online, ensuring they receive the most current data available. The web content produced via Publisher can range from basic HTML4 tables to intricate HTML4 designs with Javascript automation, extending to advanced HTML5 visualizations. The core charting engine is capable of rendering graphics in HTML5 for enhanced visual appeal. Every published query is assigned a distinct web address that links to the specific query and its output format. Consequently, this allows for each query to be referenced uniquely within a webpage, included in an email, or saved as a bookmark in a web browser. Furthermore, this versatility in linking enhances the accessibility and usability of the reports, making it easier for users to share and analyze data.

Utilizing various analytic engines ensures optimal engineering solutions, allowing QueryGrid to empower users to select the most appropriate tools for their tasks. As SQL remains the primary language in the business landscape, QueryGrid provides exceptional SQL accessibility across both commercial and open-source analytical platforms. Designed to thrive in a hybrid multi-cloud environment, Vantage effectively addresses some of the most intricate data challenges on a large scale. This software is engineered to provide autonomy, transparency, and valuable insights, enabling businesses to adapt swiftly to evolving customer needs. Ultimately, it fosters a data-driven culture that enhances decision-making and drives innovation.

The Distributed Relational Database Service (DRDS) is an agile, adaptable, and reliable middleware solution crafted by Alibaba Cloud. Primarily aimed at enhancing standalone relational databases, DRDS has undergone rigorous testing in critical transactional scenarios on platforms like Tmall, particularly during high-traffic events such as the Singles’ Day Shopping Festival. With a decade of experience, DRDS has established itself as a dependable database service provider. It enables data read and write operations based on clustered configurations and offers efficient data storage solutions. Operating across multiple independent servers, DRDS ensures that user connection volumes do not hinder performance. Furthermore, it allows for seamless upgrades and downgrades of data configurations, coupled with the ability to visually manage the scaling up and down of data storage. The service enhances reading performance through read and write splitting, which effectively linearizes improvements. Additionally, it accommodates various data splitting techniques tailored to specific data types, including parallel data splitting. DRDS emphasizes the efficiency of primary shards and facilitates parallel query executions, thereby optimizing overall database performance and responsiveness. This makes it an ideal choice for enterprises seeking robust database solutions.

Multimodal specializes in the creation and management of secure, cohesive, and customized AI automation solutions specifically designed for intricate workflows within the financial sector. Our robust AI agents leverage proprietary company data to enhance accuracy and function collectively as your digital workforce. These advanced agents are capable of processing various documents, querying databases, powering chatbots, making informed decisions, and generating comprehensive reports. They excel at automating entire workflows and possess the ability to learn independently, continuously enhancing their performance. The Unstructured AI component acts as an Extract, Transform, Load (ETL) layer, adeptly handling complex, unstructured documents for applications like RAG or other AI-driven uses. Our Document AI is meticulously trained on your specific schema to efficiently extract, label, and organize data from diverse sources including loan applications, claims, and PDF reports. Additionally, our Conversational AI functions as a dedicated in-house chatbot, utilizing unstructured internal data to deliver effective support to both customers and employees. Furthermore, Database AI interfaces with company databases to respond to inquiries, interpret data sets, and offer valuable insights that can drive decision-making. This comprehensive suite of AI capabilities aims to streamline operations and enhance productivity across various financial services.

Seal Report & ETL provides a comprehensive solution for generating daily reports from various databases or NoSQL sources while also enabling intricate ETL processes. The software prioritizes straightforward installation and user-friendly report design, allowing users to create and publish reports in just a minute after initial setup. You can utilize your own SQL queries or allow the Seal engine to dynamically generate the necessary SQL to interact with your database. The platform supports querying and joining multiple data sources, including SQL, Excel, XML, MongoDB, OLAP cubes, and HTTP JSON, leveraging the capabilities of LINQ queries. Users can easily drag and drop elements into a pivot table (Cross Tab) for seamless report visualization. Furthermore, creating and displaying Chart Series requires just two clicks, with support for libraries such as ChartJS, NVD3, Plotly, and various gauge options. The reports harness HTML5 features, ensuring responsive layouts, sortable tables, and filtering capabilities. You can enhance the appearance of your reports using the Razor engine for HTML presentation. Additionally, the system allows for easy publishing and editing of reports on the web, compatible with both Windows and Linux operating systems using .NET 6, thus providing a versatile tool for all reporting needs. The flexibility and speed of Seal Report & ETL make it an invaluable asset for organizations seeking efficient data reporting solutions.

This powerful spreadsheet is professional and has all the tools that you need to calculate and analyse your data, summarize it, and present it in colourful graphics or numerical reports. Complex formulas can be entered quickly and easily with a fully-integrated help system. You can pull in external data via ODBC, sort it and generate subtotals. The chart wizard allows you to choose from eight or more types of 2-D and 3D charts, including line, area and column, pie, XY, stock, and dozens more. SSuite Axcel allows you to produce financial reports and manage personal expenses with greater efficiency and flexibility. SSuite Axcel Professional has ODBC connectivity that allows you to query any database using a custom SQL query dialog. Please read the "Read Me!" document first! Requirements: . 1366x768 Display Size . Windows XP / 7 / 8, 10 / 32bit and 64bit New Online Edition - PWA Enabled: https://carbonplus.ssuiteoffice.com/

QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed

dbForge's Query Builder for MySQL allows you to create any type of MySQL query, from simple lookups up to complex JOINS. The tool offers a wide range of compatibility options, and allows you to construct and edit complex MySQL queries with just a few clicks. You don't have to worry about writing complex code, just "draw" the query on a chart. Key Features • Powerful visual MySQL query builder functionality The MySQL statement generator allows you to edit tables and execute queries. • Use the visual MySQL query editor to combine a few queries into a sub-query • Manage databases proactively • Easy to join tables Find trends in mountains of data Reduce the time spent on complex queries The official Devart site is always the best place to find the latest version.

Indigo DQM is the best in data management and reporting. This powerful software system offers a wide range of expert capabilities in an all-in one solution that will satisfy all your data needs. Our software features advanced query, processing, and reporting capabilities. This software maximizes data assets and increases business value and intelligence. Indigo DQM's software platform allows for secure and sensitive data handling on the cloud and on private networks. It offers far greater security and functionality than any cloud-based solution.

Articulate your prompt clearly, specify the necessary tables, and create a query utilizing your preferred AI model. You can establish numerous connections as needed while benefiting from autocomplete functionality for SQL queries, enhancing your efficiency. We ensure the confidentiality of your schemas, queries, and credentials; the data you share is solely used for crafting SQL queries. You can easily download your outputs in CSV format and visualize them through graphs and charts. Discover the capabilities of AI-enhanced SQL queries with our complimentary plan, allowing you to swiftly construct intricate SQL queries with AI assistance. SQLPilot serves as your primary tool for generating context-rich SQL queries seamlessly. Enjoy a streamlined experience as you navigate through your data and queries with ease.

Connect your database to Statsbot, and within minutes, you'll have data relationships generated automatically, along with your initial insights. Capable of handling terabytes of raw data from numerous sources, Statsbot eliminates the need for prior data optimization or transformation. You can easily define your transformations using SQL and Javascript, avoiding the necessity of learning specialized languages or dealing with complicated interfaces. While data storage is affordable, executing queries can be costly; Statsbot addresses this issue by implementing a pre-aggregations layer that enhances query efficiency. Specifically designed to function with raw data in contemporary data warehouses, Statsbot not only performs real-time queries and transformations but also runs background processes to pre-aggregate intensive calculations. This transformation layer ensures that even complex reports are generated at remarkable speeds, making the overall data analysis experience seamless and efficient. Consequently, Statsbot significantly reduces the time and resources needed to derive insights from large datasets.

SparkGrid, offered by Sparklabs, is a powerful data management solution that simplifies Snowflake communication by providing a tabularized interface that feels familiar to users of spreadsheet applications. This intuitive approach removes the need for advanced technical skills, enabling users of varying expertise to efficiently manage complex datasets within Snowflake. Key features include multi-field editing, real-time SQL statement previews, and robust built-in error handling and security protocols to protect data integrity and prevent unauthorized access. SparkGrid’s GUI enables seamless data operations such as adding, removing, and editing rows, columns, and tables without switching between visual tools and code. It supports Snowflake’s cloud data platform fully, promoting universal accessibility and empowering teams to collaborate better. The platform streamlines database interaction and boosts user productivity by simplifying traditionally complex tasks. SparkGrid is also available on AWS Marketplace, making deployment easier for cloud users. By democratizing access to Snowflake data management, SparkGrid drives informed decision-making and innovation.

PandaAI is an innovative platform powered by artificial intelligence that converts natural language questions into meaningful data insights, simplifying the data analysis workflow. With this tool, users can easily link their databases, resulting in immediate report creation through intelligent AI and text-to-SQL functionalities. The platform promotes user engagement with data by enabling conversational AI capabilities, which make querying feel more natural and intuitive. Additionally, it supports collaboration among team members, allowing users to save their findings as data snippets to share seamlessly with others. To begin utilizing PandaAI, users need to install the pandasai library in Python, configure their API key, upload their datasets, and send them to the platform for thorough analysis. Once set up, users can harness the power of AI to unlock deeper insights from their data, enhancing decision-making and strategic planning.

Effortlessly develop personalized database applications in formats that align perfectly with your business requirements, though compatibility is limited to PC users. Access simplifies the creation of business applications, whether you choose to start with templates or build from the ground up. With its user-friendly and visually appealing design tools, Access enables you to craft attractive and highly functional applications quickly. You can customize your applications to suit both your business goals and customer needs, with the flexibility to make adjustments as those needs evolve. By leveraging Visual Basic for Applications, you can automate various business processes, enhancing the functionality of forms and reports. The Access connector library allows for seamless integration of data between Access and other business applications, enabling you to produce comprehensive visuals and insights within the familiar Access environment. Additionally, you can store your data securely in SQL Server and Microsoft Azure SQL, ensuring that your applications are reliable, scalable, secure, and manageable over the long term, thus providing a robust solution for your database needs. This capability not only streamlines operations but also helps your business adapt to changing market dynamics.

We developed Stripe Sigma to assist businesses in efficiently analyzing their Stripe data, allowing teams to gain quicker insights into their operations. You can utilize pre-existing SQL queries or create your own custom queries directly within the Stripe dashboard, eliminating the need for data engineering expertise. With organized access to your data, it becomes straightforward to pinpoint customers at risk of churning, identify regions that generate the highest revenue, and much more. You can quickly get answers to any questions related to your Stripe data whenever you need them. Additionally, reports can be set up to generate automatically on a daily, weekly, or monthly basis, helping you stay organized. Enhance your workflow by saving frequently used queries for rapid access. Furthermore, you can share your queries with other teams right within Sigma or export them as CSV files. Stripe Sigma is utilized by business teams to streamline operations, finance teams to expedite financial closures, data teams for in-depth analysis of metrics like ARPU and churn, and product management to discover new business opportunities. This multifaceted tool is designed to cater to various needs, making it an invaluable asset for any organization.

Stonefield Software Inc., known for its award-winning product Stonefield Query, has been providing ad hoc database reporting solutions since 1991. Designed with the end-user in mind, Stonefield Query allows businesses to empower customers and internal users with self-service ad hoc reporting capabilities. It is capable of generating reports from a wide range of databases, such as Microsoft SQL Server, Oracle, Microsoft Access, Visual FoxPro, Pervasive, IBM DB2, MySQL, among others. Stonefield has collaborated with over 800 OEM and ISV partners, successfully delivering business intelligence reporting solutions to more than 225,000 users across more than 65 countries worldwide. Our clientele includes a diverse array of sectors and industries, ranging from public and private entities to military organizations and non-profits, as well as Fortune 500 companies and SMEs. Creating visually appealing reports with Stonefield Query doesn't require graphic design skills; simply choose from our stunning templates or customize your own to fit your needs. In addition, the flexibility of the software ensures that users can tailor their reports to effectively communicate their data insights.