Business Software for SQL - Page 12
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Shakker
Shakker
With Shakker you can turn your imagination into images, in seconds. AI image generation doesn't have to be clunky when you use Shakker. Whether you want to create images, change styles, combine components, or paint any parts, Shakker makes it smoother than ever for you with prompt suggestions and precise designs. Shakker revolutionizes image creation, you can simply upload a reference photo, and it recommends styles from a library of vast images, making it easy to craft the perfect image. Beyond style transformation, Shakker offers advanced editing tools like segmentation, quick selection, and lasso for precise inpainting. Shakker.AI operates on sophisticated AI algorithms that analyze input and generate images accordingly. It interprets user commands or prompts to produce images that align with specified styles and themes. The underlying technology seamlessly blends AI's computational power with artistic creativity, delivering both unique and high-quality outputs. -
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Baidu Palo
Baidu AI Cloud
Palo helps enterprises to create the PB-level MPP architecture data warehouse service within several minutes and import the massive data from RDS, BOS, and BMR. Thus, Palo can perform the multi-dimensional analytics of big data. Palo is compatible with mainstream BI tools. Data analysts can analyze and display the data visually and gain insights quickly to assist decision-making. It has the industry-leading MPP query engine, with column storage, intelligent index,and vector execution functions. It can also provide in-library analytics, window functions, and other advanced analytics functions. You can create a materialized view and change the table structure without the suspension of service. It supports flexible and efficient data recovery. -
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Gemma
Google
Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models. Developed by Google DeepMind and other teams across Google, Gemma is inspired by Gemini, and the name reflects the Latin gemma, meaning “precious stone.” Accompanying our model weights, we’re also releasing tools to support developer innovation, foster collaboration, and guide the responsible use of Gemma models. Gemma models share technical and infrastructure components with Gemini, our largest and most capable AI model widely available today. This enables Gemma 2B and 7B to achieve best-in-class performance for their sizes compared to other open models. And Gemma models are capable of running directly on a developer laptop or desktop computer. Notably, Gemma surpasses significantly larger models on key benchmarks while adhering to our rigorous standards for safe and responsible outputs. -
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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.
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Abstra
Abstra
Securely authenticate users with SSO or SAML providers and manage permissions to any app with advanced, custom granular control. Securely authenticate users with SSO or SAML providers and manage permissions to any app with advanced, custom granular control. Deploy on-premise to benefit from our fast-building tools while ensuring every piece of data stays within your network. Be that for customer-facing or internal processes, make sure your onboarding has the perfect fit. Integrate to your favorite services or manage it all inside Abstra. Skip error-prone, repetitive work by creating automated tasks. Combine dynamic forms and workflows to streamline information gathering, reminders and transactions. Save time and guarantee your data quality and transparency by automating your reconciliation workflow. -
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Hanabi.rest
Hanabi.rest
Hanabi.rest is an AI-based API building platform. Hanabi.rest creates multi-runtime APIs for web standards. In addition to operating on a live editor on the web, it generates code that works with Cloudflare, Fastly, Deno, Bun, Lagon, AWS, or Node.js. Build a REST API from natural language and screenshots using AI, deploy it on Cloudflare Workers, and immediately roll it out globally. Generates REST APIs from natural language and screenshots. With the live API editor, you can test database access and API endpoints from a sandboxed, secure environment. Share the created APIs using a URL. Publicly available APIs can be forked and further expanded or improved based on natural language. APIs created or shared can be dumped locally via CLI, allowing you to immediately set up a project for development and deployment. Simply import the npm package running in the environment as usual and the type definitions will be downloaded automatically. -
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SecureFlag
SecureFlag
SecureFlag’s hands-on training in real development environments offers a tailored approach to enterprise training needs. 45+ technologies supported and over 150 vulnerability types covered. Each comprises a fully configured development environment. With more than 70% of vulnerabilities introduced during development, writing secure software is more critical than ever. SecureFlag has revolutionized the approach to secure coding training. With SecureFlag’s hands-on labs, participants learn in virtualized environments using the tools they know and love. SecureFlag’s Labs teaches participants how to identify and remediate the most prevalent security issues by doing instead of simply just seeing. Labs run in real, virtualized development environments, and participants learn using the same tools they use at work. Engage with your organization’s developer community and promote learning through enjoyable competition. -
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Gemma 2
Google
A family of state-of-the-art, light-open models created from the same research and technology that were used to create Gemini models. These models incorporate comprehensive security measures and help ensure responsible and reliable AI solutions through selected data sets and rigorous adjustments. Gemma models achieve exceptional comparative results in their 2B, 7B, 9B, and 27B sizes, even outperforming some larger open models. With Keras 3.0, enjoy seamless compatibility with JAX, TensorFlow, and PyTorch, allowing you to effortlessly choose and change frameworks based on task. Redesigned to deliver outstanding performance and unmatched efficiency, Gemma 2 is optimized for incredibly fast inference on various hardware. The Gemma family of models offers different models that are optimized for specific use cases and adapt to your needs. Gemma models are large text-to-text lightweight language models with a decoder, trained in a huge set of text data, code, and mathematical content. -
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Arroyo
Arroyo
Scale from zero to millions of events per second. Arroyo ships as a single, compact binary. Run locally on MacOS or Linux for development, and deploy to production with Docker or Kubernetes. Arroyo is a new kind of stream processing engine, built from the ground up to make real-time easier than batch. Arroyo was designed from the start so that anyone with SQL experience can build reliable, efficient, and correct streaming pipelines. Data scientists and engineers can build end-to-end real-time applications, models, and dashboards, without a separate team of streaming experts. Transform, filter, aggregate, and join data streams by writing SQL, with sub-second results. Your streaming pipelines shouldn't page someone just because Kubernetes decided to reschedule your pods. Arroyo is built to run in modern, elastic cloud environments, from simple container runtimes like Fargate to large, distributed deployments on the Kubernetes logo Kubernetes. -
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definity
definity
Monitor and control everything your data pipelines do with zero code changes. Monitor data and pipelines in motion to proactively prevent downtime and quickly root cause issues. Optimize pipeline runs and job performance to save costs and keep SLAs. Accelerate code deployments and platform upgrades while maintaining reliability and performance. Data & performance checks in line with pipeline runs. Checks on input data, before pipelines even run. Automatic preemption of runs. definity takes away the effort to build deep end-to-end coverage, so you are protected at every step, across every dimension. definity shifts observability to post-production to achieve ubiquity, increase coverage, and reduce manual effort. definity agents automatically run with every pipeline, with zero footprints. Unified view of data, pipelines, infra, lineage, and code for every data asset. Detect in run-time and avoid async checks. Auto-preempt runs, even on inputs. -
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Decentriq
Decentriq
Privacy-minded organizations work with Decentriq. With the latest advancements in encryption and privacy-enhancing technologies such as synthetic data, differential privacy, and confidential computing, your data stays under your control at all times. End-to-end encryption keeps your data private to all other parties. Decentriq cannot see or access your data. Remote attestation gives you verification that your data is encrypted and only approved analyses are running. Built-in partnership with market-leading hardware and infrastructure providers. Designed to handle even advanced AI and machine learning models, the platform keeps your data inaccessible no matter the challenge. With processing speeds approaching typical cloud levels, you don’t have to sacrifice scalability for excellent data protection. Our growing network of data connectors supports more streamlined workflows across leading data platforms. -
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Actian Ingres
Actian
Ultra-reliable SQL-standard transactional database with X100 operational analytics. Actian Ingres has long been known as an ultra-reliable enterprise transactional database. Today Actian Ingres is a hybrid transactional/analytical processing database with record-breaking performance. Ingres supports both row-based and columnar storage formats using its ultra-reliable enterprise transactional database, and Vector’s X100 analytics engine. This combination allows organizations to perform transaction processing and operational analytics easily and efficiently within a single database. The most trusted and time-tested transactional database with a low total cost of ownership, 24/7 global support, and industry-leading customer satisfaction. It has a proven track record, with thousands of enterprises running billions of transactions over decades of deployment, upgrades, and migrations. -
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Chat2DB
Chat2DB
Save time by working with data. Connect to all your data sources, and instantly generate optimal SQL for fast lightning information. If you don't know SQL well, you can get instant information without writing SQL. Generate high-performance SQL for your complicated queries using natural language, as well as correcting errors and getting AI suggestions to optimize the performance of SQL queries. Developers can write complex SQL queries quickly and accurately with the help of the AI SQL editor, saving time and improving development efficiency. Just enter the names of the tables and columns, and we will automatically configure the type, password, and comment, saving you 90% of the time. Imports and exports data in multiple formats (CSV, XLSX, XLS, SQL) to facilitate exchange, backup, and migration. Transfers data between different databases or through cloud services, as a backup and recovery solution that guarantees the minimum loss of data and downtime during migrations.Starting Price: $7 per month -
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Rabot
Rabot
Achieve 100% accuracy of every order fulfilled with Rabot. Rabot unlocks actionable insights with real-time data from your warehouse to help you scale. Pack stations can be black boxes. Rabot’s Vision AI gives Staci USA the visibility they need to digitize QA and achieve 99% accuracy of all orders. Without full visibility into day-to-day activities at your pack stations, you’re leaving a lot up to chance. Rabot’s Vision AI platform uses live camera feeds and real-time data from your ecosystem software to help you improve your packing performance. Plug into your WMS, get real-time chat notifications, or connect to our API. We’re building a connected ecosystem to help you access all data in one place. AI-powered devices meet purpose-built user interfaces in a connected ecosystem, to help your team move faster. Rabot is the only platform that integrates your existing tools and workflows with cutting-edge AI tech to deliver real efficiencies for your business. -
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Oceanbase
Oceanbase
OceanBase eliminates the complexity of traditional sharding databases, enabling you to effortlessly scale your database to meet ever-growing workloads, whether horizontally, vertically, or even at the tenant level. This facilitates on-the-fly scaling and linear performance growth without downtime or necessitating changes to applications in high-concurrency scenarios, ensuring quicker and more reliable responses to performance-intensive critical workloads. Empower mission-critical workloads and performance-intensive applications across both OLTP and OLAP scenarios, all while maintaining full compatibility with MySQL. 100% ACID Compliance, natively supports distributed transactions with multi-replica strong synchronization built upon Paxos protocols. Experience ultimate query performance that your mission-critical and time-sensitive workloads can depend on. This effectively eliminates downtime, and ensures your mission-critical workload remains always available. -
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PromptQL
Hasura
PromptQL is a platform developed by Hasura that enables Large Language Models (LLMs) to access and interact with structured data sources through agentic query planning. This approach allows AI agents to retrieve and process data in a human-like manner, enhancing their ability to handle complex, real-world user queries. By providing LLMs with access to a Python runtime and a standardized SQL interface, PromptQL facilitates accurate data querying and manipulation. The platform supports integration with various data sources, including GitHub repositories and PostgreSQL databases, allowing users to build AI assistants tailored to their specific needs. PromptQL addresses the limitations of traditional search-based retrieval methods by enabling AI agents to perform tasks such as gathering relevant emails and classifying follow-ups with greater accuracy. Users can get started by connecting their data, adding their LLM API key, and building with AI. -
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Microsoft Intelligent Data Platform
Microsoft
The Microsoft Intelligent Data Platform is an integrated data and AI platform designed to help organizations adapt rapidly, add intelligence to applications, and generate predictive insights. It unifies databases, analytics, and governance, enabling businesses to invest more time in creating value rather than managing their data estate. The platform offers seamless data integration and real-time business intelligence, facilitating powerful decision-making and innovation. By breaking down data silos, it allows organizations to extract real-time insights with the necessary data governance to operate safely. The platform's capabilities include accelerating innovation, improving productivity through automation and AI, and enhancing agility by anticipating changes and improving decision-making. It also provides comprehensive security across the data lifecycle, helping protect hybrid and multi-cloud environments. -
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ibi Open Data Hub for Mainframe
Cloud Software Group
ibi Open Data Hub for Mainframe provides real-time access to mainframe data, enabling seamless integration with various business intelligence tools. By allowing data to remain on the mainframe, it ensures compliance with security protocols and regulatory standards. The platform reduces the need for custom SQL queries, enhancing productivity and facilitating prompt, informed decision-making. Utilizing zIIP specialty engines, it offers cost-effective data access by offloading workloads from general-purpose processors. This solution empowers organizations to respond swiftly to market trends and customer demands by providing comprehensive, up-to-date business data. Reduce the time to gain access to data by eliminating the need for custom SQL queries so you can retrieve and analyze information faster to ensure faster decision-making. Access the data from the mainframe in real time to develop insights that let you make informed decisions promptly. -
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Zus
Zus
Zus Health offers a next-generation shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data at the point of care. Their platform is multi-tenant, scalable, and extensible to fit various organizational needs. Built on a HIPAA-compliant FHIR-native data store, it includes detailed provenance and a terminology service, ensuring secure cross-tenant data sharing and access to external data. Zus is SOC2 Type 2 certified, demonstrating a commitment to maintaining robust security measures with patients at the center of their operations. The platform leverages instant connections to external networks, enabling collaborative, real-time care through bidirectional integration with national data networks. This facilitates the seamless ingestion and sharing of patient data for efficient care coordination. Additionally, Zus provides a dedicated API that allows organizations to work directly with modern JSON via FHIR. -
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Nextdata
Nextdata
Nextdata is a data mesh operating system designed to decentralize data management, enabling organizations to create, share, and manage data products across various data stacks and formats. By encapsulating data, metadata, code, and policies into portable containers, it simplifies the data supply chain, ensuring data is useful, safe, and discoverable. Automated policy enforcement is embedded as code, continuously evaluating and maintaining data quality and compliance. The system integrates seamlessly with existing data infrastructures, allowing configuration and provisioning of data products as needed. It supports processing data from any source in any format, facilitating analytics, machine learning, and generative AI applications. Nextdata automatically generates and synchronizes real-time metadata and semantic models throughout the data product's lifecycle, enhancing discoverability and usability. -
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SQLNotebook
TimeStored
SQL Notebooks allow developers to write Markdown combined with SQL to produce live HTML5 reports. They offer a lightning-fast, modern HTML5 interface where data sources are queried in real time. Users can create beautiful, live-updating SQL notebooks, easily source control the code, and take static snapshots to share with colleagues who don't have database access. SQL Notebooks are available in both QStudio Version 4, a desktop SQL client based on editing markdown files locally, and Pulse Version 3, which serves as a shared team server accessible via a web address. To help users get started, a showcase of example notebooks has been created in collaboration with leading community members; these examples are snapshotted versions with static data, and the source markdown and most of the data to recreate them are available on GitHub. -
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Gemini 2.0 Flash-Lite
Google
Gemini 2.0 Flash-Lite is Google DeepMind's lighter AI model, designed to offer a cost-effective solution without compromising performance. As the most economical model in the Gemini 2.0 lineup, Flash-Lite is tailored for developers and businesses seeking efficient AI capabilities at a lower cost. It supports multimodal inputs and features a context window of one million tokens, making it suitable for a variety of applications. Flash-Lite is currently available in public preview, allowing users to explore its potential in enhancing their AI-driven projects. -
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Gemini 2.0 Pro
Google
Gemini 2.0 Pro is Google DeepMind's most advanced AI model, designed to excel in complex tasks such as coding and intricate problem-solving. Currently in its experimental phase, it features an extensive context window of two million tokens, enabling it to process and analyze vast amounts of information efficiently. A standout feature of Gemini 2.0 Pro is its seamless integration with external tools like Google Search and code execution environments, enhancing its ability to provide accurate and comprehensive responses. This model represents a significant advancement in AI capabilities, offering developers and users a powerful resource for tackling sophisticated challenges. -
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TROCCO
primeNumber Inc
TROCCO is a fully managed modern data platform that enables users to integrate, transform, orchestrate, and manage their data from a single interface. It supports a wide range of connectors, including advertising platforms like Google Ads and Facebook Ads, cloud services such as AWS Cost Explorer and Google Analytics 4, various databases like MySQL and PostgreSQL, and data warehouses including Amazon Redshift and Google BigQuery. The platform offers features like Managed ETL, which allows for bulk importing of data sources and centralized ETL configuration management, eliminating the need to manually create ETL configurations individually. Additionally, TROCCO provides a data catalog that automatically retrieves metadata from data analysis infrastructure, generating a comprehensive catalog to promote data utilization. Users can also define workflows to create a series of tasks, setting the order and combination to streamline data processing. -
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ERNIE X1
Baidu
ERNIE X1 is an advanced conversational AI model developed by Baidu as part of their ERNIE (Enhanced Representation through Knowledge Integration) series. Unlike previous versions, ERNIE X1 is designed to be more efficient in understanding and generating human-like responses. It incorporates cutting-edge machine learning techniques to handle complex queries, making it capable of not only processing text but also generating images and engaging in multimodal communication. ERNIE X1 is often used in natural language processing applications such as chatbots, virtual assistants, and enterprise automation, offering significant improvements in accuracy, contextual understanding, and response quality.Starting Price: $0.28 per 1M tokens -
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FairCom MQ
FairCom
FairCom MQ combines the benefits of an MQTT broker with the reliability of a dedicated embedded database. Its core persistence layer guarantees safe data transfer between subscribers and publishers, while the no-code configuration capabilities allow easy cross-communication for app development and IoT devices. FairCom MQ frees your data, allowing you to easily gather, push, and pull data wherever you need. You can add new processing capabilities without affecting existing integrations using FairCom MQ’s messaging systems, easily sending your data wherever needed. With guaranteed delivery, even when devices go offline, using MQ’s embedded database, and store-and-forward capabilities means you never miss a message. Eliminate bottlenecks and improve decision-making with parallel processing’s real-time monitoring and notifications between applications. Easily run our plug-and-play broker with simple JSON configurations to keep operations accessible. -
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FairCom RTG
FairCom
FairCom RTG modernizes COBOL and Btrieve applications by seamlessly replacing their native file systems with FairCom's advanced database engine, enhancing reliability, scalability, and performance without altering existing code. It enables real-time read/write access to live data through modern APIs, including JSON and SQL, facilitating business analytics and reporting without additional coding. With features like hot backups, automatic recovery, and ACID-compliant transactions, data integrity and uptime are significantly improved. FairCom RTG supports vertical scaling to thousands of users and horizontal scaling through replication for reporting, failover, and availability. The latest version introduces a JSON DB API, allowing simple JSON commands to manage COBOL data, and Hot Alter Table functionality for immediate schema modifications without rewriting records. -
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JSON Formatter
JSON Formatter
JSON Formatter's JSON Editor is a user-friendly tool designed for editing, viewing, and analyzing JSON data. It offers features such as formatting, beautifying, and validating JSON, as well as converting JSON to XML, CSV, and YAML formats. Users can load JSON data via file upload or URL and share edited JSON through generated links. It ensures that data is not sent to external servers, thus enhancing security and performance. -
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SQream
SQream
SQream is a GPU-accelerated data analytics platform that enables organizations to process large, complex datasets with unprecedented speed and efficiency. By leveraging NVIDIA's GPU technology, SQream executes intricate SQL queries on vast datasets rapidly, transforming hours-long processes into minutes. It offers dynamic scalability, allowing businesses to seamlessly scale their data operations in line with growth, without disrupting analytics workflows. SQream's architecture supports deployments that provide flexibility to meet diverse infrastructure needs. Designed for industries such as telecom, manufacturing, finance, advertising, and retail, SQream empowers data teams to gain deep insights, foster data democratization, and drive innovation, all while significantly reducing costs. -
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Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models. Built on Amazon DataZone, it integrates various AWS analytics and AI/ML services, such as Amazon EMR, AWS Glue, and Amazon Bedrock, into a single platform. Users can discover, access, and process data from various sources like Amazon S3 and Redshift, and develop generative AI applications. With tools for model development, governance, MLOps, and AI customization, SageMaker Unified Studio provides an efficient, secure, and collaborative environment for data teams.
