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XML Databases
XML databases are a type of database that stores, manages, and retrieves data in the XML (Extensible Markup Language) format. These databases are designed to handle semi-structured data, where data is stored in a tree-like structure using tags, making it more flexible than traditional relational databases. XML databases support querying and manipulating XML data using specialized languages such as XPath, XQuery, and XML Schema. They are commonly used in applications that require complex data structures, such as content management systems, document storage, and web services. XML databases allow for efficient handling of large and dynamic datasets while maintaining the hierarchical relationships between elements, making them suitable for applications that need to store and retrieve structured or semi-structured data efficiently.
Database Software
Database software and database management systems are a type of software designed to store, manage and retrieve data. It is used to organize all kinds of information in an efficient manner, allowing users to quickly access the data they need. Many databases are tailored for specific purposes and applications, ranging from transaction processing systems to large-scale analytics platforms. Database software may be used on its own or connected with other software services for complex operations.
Key-Value Databases
Key-value databases are a type of NoSQL database that store data as pairs, where each unique key is associated with a value. This structure is simple and highly flexible, making key-value databases ideal for scenarios requiring fast access to data, such as caching, session management, and real-time applications. In these databases, the key acts as a unique identifier for retrieving or storing the value, which can be any type of data—strings, numbers, objects, or even binary data. Key-value stores are known for their scalability, performance, and ability to handle high volumes of read and write operations with low latency. These databases are particularly useful for applications that require quick lookups or high availability, such as online retail platforms, social networks, and recommendation systems.
Graph Databases
Graph databases are specialized databases designed to store, manage, and query data that is represented as graphs. Unlike traditional relational databases that use tables to store data, graph databases use nodes, edges, and properties to represent and store data. Nodes represent entities (such as people, products, or locations), edges represent relationships between entities, and properties store information about nodes and edges. Graph databases are particularly well-suited for applications that involve complex relationships and interconnected data, such as social networks, recommendation engines, fraud detection, and network analysis.
Database Security Software
Database security software tools enable organizations to secure their databases, and ensure security compliance with database operations.
Columnar Databases
Columnar databases, also known as column-oriented databases or column-store databases, are a type of database that store data in columns instead of rows. Columnar databases have some advantages over traditional row databases including speed and efficiency.
Database Monitoring Tools
Database monitoring tools help businesses and IT teams track, analyze, and optimize the performance of their databases to ensure smooth operation, prevent downtime, and maintain data integrity. These tools typically provide features for real-time monitoring of database metrics such as query performance, response times, CPU and memory usage, and disk space utilization. Database monitoring software often includes alerting mechanisms for detecting issues such as slow queries or resource bottlenecks, as well as detailed reporting and analytics to improve database efficiency and scalability. By using these tools, organizations can proactively manage database health, troubleshoot problems, and optimize system performance.
Relational Database
Relational database software provides users with the tools to capture, store, search, retrieve and manage information in data points related to one another.
Database Backup Software
Database backup software solutions enable organizations to back up their databases so that they can restore the databases if necessary. Database backup software is essential for companies of all kinds that want to protect against corrupted data, broken hardware, or employee missteps.
Time Series Databases
Time series databases (TSDB) are databases designed to store time series and time-stamped data as pairs of times and values. Time series databases are useful for easily managing and analyzing time series.
NoSQL Database
NoSQL database software provides the tools to store, capture and retrieve of big data through the use of non tabular databases.
Distributed Databases
Distributed databases store data across multiple physical locations, often across different servers or even geographical regions, allowing for high availability and scalability. Unlike traditional databases, distributed databases divide data and workloads among nodes in a network, providing faster access and load balancing. They are designed to be resilient, with redundancy and data replication ensuring that data remains accessible even if some nodes fail. Distributed databases are essential for applications that require quick access to large volumes of data across multiple locations, such as global eCommerce, finance, and social media. By decentralizing data storage, they support high-performance, fault-tolerant operations that scale with an organization’s needs.
Database Virtualization Software
Database virtualization software provides IT professionals a solution for virtualization databases in order to allow the pooling and usage of resources to be allocated when needed.
Database Design Software
Database design software is a type of computer program used to create, modify and manage databases. It enables users to define the structure of a database and the relationships between different data fields. It also allows the user to perform various operations on existing databases such as editing, backing up, transferring data and creating reports.
Vector Databases
Vector databases are a type of database that use vector-based data structures, rather than the traditional relational models, to store information. They are used in artificial intelligence (AI) applications such as machine learning, natural language processing and image recognition. Vector databases support fast and efficient data storage and retrieval processes, making them an ideal choice for AI use cases. They also enable the integration of structured and unstructured datasets into a single system, offering enhanced scalability for complex projects.
Document Databases
Document databases are a type of NoSQL database designed to store, manage, and retrieve semi-structured data in the form of documents, typically using formats like JSON, BSON, or XML. Unlike traditional relational databases, document databases do not require a fixed schema, allowing for greater flexibility in handling diverse and evolving data structures. Each document in the database can contain different fields and data types, making it ideal for applications where data is complex and varied. These databases excel at scaling horizontally, making them well-suited for handling large volumes of data across distributed systems. Document databases are commonly used in modern web and mobile applications, where they provide efficient storage and fast access to rich, nested data structures.
OLAP Databases
OLAP (Online Analytical Processing) databases are designed to support complex queries and data analysis, typically for business intelligence and decision-making purposes. They enable users to interactively explore large volumes of multidimensional data, offering fast retrieval of insights across various dimensions such as time, geography, and product categories. OLAP databases use specialized structures like cubes to allow for rapid aggregation and calculation of data. These databases are highly optimized for read-heavy operations, making them ideal for generating reports, dashboards, and analytical queries. Overall, OLAP databases help organizations quickly analyze data to uncover patterns, trends, and insights for better decision-making.
SQL Databases
SQL databases are structured systems that use the Structured Query Language (SQL) to store, retrieve, and manage data. They organize data into tables with rows and columns, ensuring that information is easily accessible, consistent, and scalable. SQL databases are widely used in applications that require complex queries, transactions, and data integrity, making them essential for web applications, financial systems, and enterprise environments. These databases offer robust features for security, data normalization, and maintaining relationships between different datasets. Overall, SQL databases are fundamental to managing relational data efficiently and reliably across various industries.
Embedded Database Systems
Embedded database systems are lightweight, self-contained databases that are integrated directly into applications, allowing data management without requiring a separate database server. They are optimized for performance and simplicity, often running within the same process as the host application, making them ideal for use in mobile apps, IoT devices, and small-scale applications. These databases support SQL or other query languages and offer full database functionality, including transaction management and data integrity. Embedded database systems are designed to operate with minimal configuration, providing fast, reliable data storage and retrieval within constrained environments. Their ease of integration and low resource usage make them essential for applications that need efficient local data management without the overhead of external databases.
Database Clients
Database clients are tools or applications used to connect to a database server and interact with its data. They allow users to perform operations such as querying, updating, inserting, and deleting records through a structured language. These clients often offer intuitive interfaces or command-line options to simplify database management tasks. They are essential for managing data efficiently, catering to both small-scale and enterprise-level needs. By providing a bridge between users and the database, they streamline data access and administration.
View more categories (20) for "without database"
  • 1
    Google Cloud Platform
    ...Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. ...
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    Starting Price: Free ($300 in free credits)
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  • 2
    Movestax

    Movestax

    Movestax

    Movestax revolutionizes cloud infrastructure with a serverless-first platform for builders. From app deployment to serverless functions, databases, and authentication, Movestax helps you build, scale, and automate without the complexity of traditional cloud providers. Whether you’re just starting out or scaling fast, Movestax offers the services you need to grow. Deploy frontend and backend applications instantly, with integrated CI/CD. Fully managed, scalable PostgreSQL, MySQL, MongoDB, and Redis that just work. ...
    Starting Price: $20/month
  • 3
    Pinecone

    Pinecone

    Pinecone

    The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Developer-friendly, fully managed, and easily scalable without infrastructure hassles. Once you have vector embeddings, manage and search through them in Pinecone to power semantic search, recommenders, and other applications that rely on relevant information retrieval.
  • 4
    GibsonAI

    GibsonAI

    GibsonAI

    GibsonAI is an innovative AI-powered database engineer that revolutionizes the entire database lifecycle by automating everything from design to deployment. With a simple conversation in plain English, users can instantly generate complete database solutions including entity-relationship diagrams, optimized schemas, fully deployed hosted databases, live CRUD APIs, and comprehensive documentation—all without writing SQL or managing DevOps.
    Starting Price: $20/month
  • 5
    CodinIT.dev

    CodinIT.dev

    CodinIT.dev

    CodinIT.dev is an open source AI-powered application builder that lets developers and non-technical founders turn natural-language descriptions into full-stack applications in minutes. Users can describe the application they want, such as “a task management app with user login, Kanban board, and real-time sync”, and CodinIT.dev will generate production-ready frontend, backend, database schema, and deployment scripts automatically. The platform supports more than 19 AI providers including...
  • 6
    Semantee

    Semantee

    Semantee.AI

    ...Semantee also offers an abstraction layer over an e-shop's product catalog, enabling the store to utilize semantic search instantly without having to re-configure its database.
    Starting Price: $500
  • 7
    ArangoDB

    ArangoDB

    ArangoDB

    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.
  • 8
    TopK

    TopK

    TopK

    TopK is a serverless, cloud-native, document database built for powering search applications. It features native support for both vector search (vectors are simply another data type) and keyword search (BM25-style) in a single, unified system. With its powerful query expression language, TopK enables you to build reliable search applications (semantic search, RAG, multi-modal, you name it) without juggling multiple databases or services.
  • 9
    Reindeer

    Reindeer

    Reindeer

    ...It launches with support for PostgreSQL and promises support for additional database systems. It is designed to significantly boost productivity for those who write SQL by cutting context switching, reducing repetitive query work, and accelerating development of complex joins, filters, and transformations, all without requiring you to leave your IDE or manually switch between schema viewers and query editors.
    Starting Price: Free
  • 10
    Vespa

    Vespa

    Vespa.ai

    ...To build production-worthy online applications that combine data and AI, you need more than point solutions: You need a platform that integrates data and compute to achieve true scalability and availability - and which does this without limiting your freedom to innovate. Only Vespa does this. Vespa is a fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. Users can easily build recommendation applications on Vespa. Integrated machine-learned model inference allows you to apply AI to make sense of your data in real-time. ...
    Starting Price: Free
  • 11
    Basedash

    Basedash

    Basedash

    Basedash is an AI-generated interface to visualize, edit, and explore your data. Basedash is built for teams to work together and share insights so you help customers and grow your product without needing to build anything. Edit data, create records, and oversee how your product is running without the need to build or manage custom software. Basedash is the custom CRM for tracking, understanding, and interacting with users of your product. An instant UI for you to edit, read, update, and delete data. Don't waste time building another internal tool ever again. ...
    Starting Price: $25 per month
  • 12
    Metal

    Metal

    Metal

    Metal is your production-ready, fully-managed, ML retrieval platform. Use Metal to find meaning in your unstructured data with embeddings. Metal is a managed service that allows you to build AI products without the hassle of managing infrastructure. Integrations with OpenAI, CLIP, and more. Easily process & chunk your documents. Take advantage of our system in production. Easily plug into the MetalRetriever. Simple /search endpoint for running ANN queries. Get started with a free account. Metal API Keys to use our API & SDKs. With your API Key, you can use authenticate by populating the headers. ...
    Starting Price: $25 per month
  • 13
    Ragic Builder
    Ragic is a no-code database builder that allows its user to build their own system according to their own workflow with a spread-sheet like interface that is as quick and as intuitive, capable of building small contact management systems to fully fledged ERP systems.
    Starting Price: $5/month/user
  • 14
    JDoodle.ai

    JDoodle.ai

    JDoodle.ai

    JDoodle.ai is an AI-powered full-stack app-builder that enables users to validate ideas, build working prototypes, and deploy complete applications without needing traditional developer resources. It supports a built-in database, free bug-fixing (with no credits required), pay-as-you-go credits, and automatic hosting for each project. Users simply describe the application they want, such as “React frontend + Python backend with database and user authentication”, and the platform generates front- and back-end code, sets up the project infrastructure, and handles testing automatically. ...
    Starting Price: $10 per month
  • 15
    Build0

    Build0

    Build0

    Build0 is a platform that allows teams to build fully functional internal applications in minutes using natural language prompts and AI, without writing code or waiting on engineering resources. Users can simply describe the tool they need, connect it to their existing systems such as Slack, Notion, Stripe, Jira, or internal databases, and Build0 generates secure, customizable applications instantly. The platform supports product management, operations, sales, customer success, and engineering workflows by enabling the creation of dashboards, billing portals, troubleshooting tools, user feedback hubs, QA trackers, and more. ...
    Starting Price: $35 per month
  • 16
    RDFox

    RDFox

    Oxford Semantic Technologies

    ...By inferring new knowledge exclusively from factual data, RDFox ensures results are firmly grounded in reality. RDFox’s incremental reasoning capabilities cause the consequences of the rules-based AI to be applied to the database in real-time as data is added, changed, or removed, all without needing a restart. Only the relevant information is updated without needing to reanalyze the entire data set.
    Starting Price: Free
  • 17
    Stakly

    Stakly

    Stakly

    Stakly is a powerful AI-driven platform that enables creators to generate full-stack web applications, such as SaaS tools, ecommerce stores, dashboards, portfolios, and MVP prototypes, simply by describing their idea in natural language. Without writing any code, users can watch as Stakly generates clean, production-ready React, Next.js, or Node.js code in real time, complete with live previews and code editing. Once ready, apps can be deployed in one click or exported to platforms like GitHub, Vercel, or Netlify, ensuring full ownership of the code. It also supports database integration, notably with Supabase, facilitating backend functionality out of the box. ...
    Starting Price: $20 per month
  • 18
    Defog

    Defog

    Defog

    ...Defog is fine-tuned to support vague questions or domain-specific jargon in over 50 different languages. Add a conversational AI widget to answer customers’ data questions, with a few lines of code. Build your product, not ad-hoc reports. AI superpowers without privacy compromises. Defog is architected to ensure we never access your database or move your data. Defog generates queries that are compatible with all major databases and data warehouses. For large companies that want to reduce report times and support costs, growing companies that want to democratize access to information, and individual users that want to see Defog's capabilities and experiment.
    Starting Price: $599 per month
  • 19
    Fleak

    Fleak

    Fleak

    Fleak is a low-code serverless API builder for data teams that requires no infrastructure and allows you to instantly embed API endpoints to your existing modern AI & data tech stack. Start by configuring the essential components of your data workflow. With Fleak, you can transform data, generate text embeddings, and connect to vector databases, all in just a few steps. Fleak's intuitive tools eliminate complexity, helping you build workflows efficiently without the need for complex setups. Add and configure nodes to build your workflow, supporting data types like JSON, SQL, CSV, and plain text. Customize your workflow steps with flexible options to handle various data transformations. ...
    Starting Price: $29 per month
  • 20
    Codev

    Codev

    co.dev

    ...By simply describing your app idea, Codev generates a complete application with all necessary components, styling, and functionality. The platform utilizes Next.js, a popular React framework, and Supabase, a PostgreSQL database with real-time data synchronization, to build customizable applications following best practices. Designed for both developers and non-developers, Codev makes app development accessible without requiring coding experience. While it excels at creating applications with CRUD operations and database integration, it currently does not support more complex applications like web crawlers or those requiring high scalability.
    Starting Price: $49/month
  • 21
    Legion AI

    Legion AI

    Legion AI

    ...Our no-code platform leverages catered AI agents to deliver insights so you can optimize your business growth effortlessly. Use machine learning and natural language processing to convert human language queries into database interactions, making data retrieval simple and intuitive without needing SQL knowledge. Analyze data to uncover trends, patterns, and actionable insights, supporting decision-making and optimizing business processes. Transform data into clear visuals like charts, graphs, and reports, making complex information easy to understand and act upon. ...
    Starting Price: $49 per month
  • 22
    Cloaked AI

    Cloaked AI

    IronCore Labs

    Cloaked AI protects sensitive AI data by encrypting it, but keeping it usable. Vector embeddings in vector databases can be encrypted without losing functionality such that only someone with the proper key can search the vectors. It prevents inversion attacks and other AI attacks on RAG systems, facial recognition systems, and more.
    Starting Price: $599/month
  • 23
    Epsilla

    Epsilla

    Epsilla

    ...Never have to worry about outdated information. Plug and play with state-of-the-art advanced, modular, agentic RAG and GraphRAG techniques without writing plumbing code. With CI/CD-style evaluations, you can confidently make configuration changes to your AI applications without worrying about regressions. Accelerate your iterations and move to production in days, not months. Fine-grained, role-based, and privilege-based access control.
    Starting Price: $29 per month
  • 24
    Appaca

    Appaca

    Appaca

    ...This makes it suitable for businesses, agencies, influencers, and startups aiming to create white-label AI solutions, web applications, internal tools, chatbots, and more, without the need for coding expertise.
    Starting Price: $20 per month
  • 25
    Nelly

    Nelly

    Nelly

    Nelly is a comprehensive AI agent platform that empowers users to build, test, distribute, and utilize AI agents without any coding required. Through Nelly Studio, users can create custom AI agents using natural language instructions, formatting them with headings, lists, and other content types. These agents can be equipped with various tools, such as a browser and a database, to accomplish their tasks. Complex tasks can be broken down into smaller problems and delegated to specialized sub-agents, allowing users to build a team of agents to handle intricate workflows. ...
    Starting Price: $9 per month
  • 26
    Genspark AI Browser
    ...It includes agent tools that assist during web browsing, comparing products, analyzing reviews, finding better deals, and helping with informed decision-making on any site. There is an autopilot mode that can automatically browse feeds, gather information, access premium databases, and perform complex web tasks without user intervention. The browser includes ad-blocking so that banners, pop-ups, and intrusive ads are blocked automatically to provide a cleaner, faster browsing experience. There’s also an MCP store, which lets users connect their browser to over 700 tools to enable workflow automation. The emphasis is on privacy (on-device AI), speed, and reducing friction in browsing, shopping, research, or general web tasks.
    Starting Price: Free
  • 27
    InsightBase

    InsightBase

    InsightBase

    ...You can build dashboards with widgets that show the results of your questions, and share them with your team. We use the credentials you provide to connect to your database. Depending on the question, you'll get a table, chart, etc. Build beautiful, interactive dashboards that are easy to use and share. Dashboards automatically refresh to keep you up to date. Create dashboards without writing a single line of code.
    Starting Price: $97 per month
  • 28
    JetBrains Aqua
    ...It‘s an all-in-one workspace that supports Selenium, Cypress, and Playwright. Aqua is a polyglot IDE that understands Java, Python, JavaScript, TypeScript, Kotlin, and SQL. Get straight to testing without having to install and configure lots of plugins. Aqua boasts a unique feature set containing everything a test automation engineer needs on a daily basis. Aqua’s Web Inspector works like a built-in browser and allows you to capture any page element without switching to another tool. There is also the HTTP client for API testing and integration with databases, Docker, and version control. ...
    Starting Price: $249 per year
  • 29
    Megaladata

    Megaladata

    Megaladata

    Megaladata is the fastest low-code platform for advanced analytics, enabling business users to design and run end-to-end data workflows—ù, from ETL to ML, without coding or IT support. With visual design tools and ready-made components, it simplifies data integration, cleansing, and deep analysis. The platform supports both self-service and enterprise-grade systems, handling big data with high performance. IT has integrations with more then 50 of the main databases' software and online datasets, other then native compatibility with Micrsoft ecosystem and Python. ...
    Starting Price: Free, Community Edition
  • 30
    Superapp

    Superapp

    Superapp

    Superapp is a no-code AI platform that allows users to build native iOS applications (and optionally React Native/Expo cross-platform) by simply describing the app in natural language, the system generates Swift (or React Native) code, handles backend integration (e.g., with Supabase), UI design consistent with Apple standards and deployment setup, all without requiring the user to write a single line of code. It removes traditional developer roadblocks such as Xcode configuration, provisioning profiles, and manual UI coding, replacing them with an AI-powered “full-stack engineer” that produces production-ready apps from prompts. Users can input design references, and the platform will replicate design elements and integrate them into the resulting app. ...
    Starting Price: Free
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