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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
    Mixedbread

    Mixedbread

    Mixedbread

    Mixedbread is a fully-managed AI search engine that allows users to build production-ready AI search and Retrieval-Augmented Generation (RAG) applications. It offers a complete AI search stack, including vector stores, embedding and reranking models, and document parsing. Users can transform raw data into intelligent search experiences that power AI agents, chatbots, and knowledge systems without the complexity. It integrates with tools like Google Drive, SharePoint, Notion, and Slack. Its...
  • 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
    SQL Builder

    SQL Builder

    SQL Builder

    SQLBuilder.ai is an advanced AI-based platform that simplifies the process of generating SQL queries. Users can input their requirements, and the system will automatically generate the necessary SQL code for their database. The platform offers a range of features, including a no-code SQL builder, SQL syntax explainer, query optimizer, code formatting, syntax validator, and a no-code NoSQL query builder. These tools are designed to enhance productivity by allowing users to quickly generate, modify, optimize, format, and validate SQL queries without extensive manual coding. ...
    Starting Price: $1.99 per month
  • 8
    SuperDuperDB

    SuperDuperDB

    SuperDuperDB

    Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. ...
  • 9
    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
  • 10
    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
  • 11
    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
  • 12
    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
  • 13
    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
  • 14
    Brewit

    Brewit

    Brewit

    ...An automated semantic layer that ensures Brewit answers with correct business logic. Easily manage your data catalog & data dictionary. Building a beautiful report is as easy as writing a doc. Data without a story is useless. Our Notion-style notebook editor allows you to create reports & dashboards easily, turning raw data into actionable insights. All organized data products are usable by anyone who has a data question, regardless of their technical skills.
  • 15
    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
  • 16
    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
  • 17
    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
  • 18
    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
  • 19
    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
  • 20
    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
  • 21
    Reonomy

    Reonomy

    Reonomy

    ...Our machine learning algorithms bring together the previously disparate world of commercial real estate to provide property intelligence. Commercial real estate data has remained siloed and disparate without a common language to standardize information collection and sharing. Our machine learning algorithms take data from any source and restructure it using our own universal language: the Reonomy ID. Now, you can simultaneously resolve disparate records and augment your database with the same technology. Backed by Artificial Intelligence, the Reonomy ID can unlock the true value of your commercial real estate database by mapping all records, including those lost, to the correct source using a clear identifier, allowing you to discover new depths to the data you already have.
  • 22
    StackAI

    StackAI

    StackAI

    StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering. With StackAI you can: • Connect knowledge bases (SharePoint, Confluence, Notion, Google Drive, databases) with versioning, citations, and access controls. • Deploy AI agents as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, or ServiceNow. • Govern usage with enterprise security: SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, data residency, and cost controls...
    Starting Price: $0
  • 23
    AutoCoder

    AutoCoder

    AutoCoder

    ...By consolidating UI design, server logic, and data management into a unified chat-driven workflow, AutoCoder accelerates prototyping and production deployment, enabling rapid iteration without boilerplate configuration or manual setup.
    Starting Price: Free
  • 24
    Anania

    Anania

    Anania

    ...No code approach allows everyone to use it without having any analytical background. You can upload your file, connect your database or integrate Anania with your favorite BI tool-Anania supports all these data sources.
    Starting Price: $0
  • 25
    PI.EXCHANGE

    PI.EXCHANGE

    PI.EXCHANGE

    Easily connect your data to the engine, either through uploading a file or connecting to a database. Then, start analyzing your data through visualizations, or prepare your data for machine learning modeling with the data wrangling actions with repeatable recipes. Get the most out of your data by building machine learning models, using regression, classification or clustering algorithms - all without any code. Uncover insights into your data, using the feature importance, prediction explanation, and what-if tools. ...
    Starting Price: $39 per month
  • 26
    Typeblock

    Typeblock

    Typeblock

    Create shareable AI apps using a simple Notion-like editor. No need to write code or hire expensive developers. We handle the hosting, database, and deployment for you. Whether you're an entrepreneur, agency, or marketing team Typeblock gives you the power to build AI tools in under 2 minutes. Write SEO-optimized blog posts and instantly publish them to your CMS. Create a tool to generate highly personalized cold emails for your sales team. Build a tool to write highly converting Facebook...
    Starting Price: $20 per month
  • 27
    Genie AI

    Genie AI

    Genie AI

    Harness the power of AI to analyze, summarize, and visualize data without all the complex SQL requirements. Allowing anyone on the team to easily ask any data question and get answers in seconds by connecting to any files, database, or API directly into Slack, Teams, or any workspace. Work 10x as fast with Al while keeping your internal data safe and secure. Self-hosted LLMs that run locally into your infrastructure, customized to your data.
  • 28
    Yandex DataSphere

    Yandex DataSphere

    Yandex.Cloud

    ...Everything will be created automatically with no need to manage infrastructure. Choose an operating mode: serverless or dedicated. Manage project data, save it to datasets, and set up connections to databases, object storage, or other repositories, all in one interface. Collaborate with colleagues around the world to create an ML model, share the project, and set budgets for teams across your organization. Launch your ML in minutes, without the help of developers. Run experiments with simultaneous publication of different versions of models.
    Starting Price: $0.095437 per GB
  • 29
    Lemma

    Lemma

    Thread AI

    Prototype and production event-driven, distributed workflows that span AI models, APIs, databases, ETL systems, and applications, all in one platform. Enable a faster time to value for your organization while cutting down operational overhead and infrastructure complexity. Focus on investing in proprietary logic and accelerating feature delivery without wasting time on platform and architecture decisions that slow development and execution.
  • 30
    NLSQL

    NLSQL

    NLSQL

    NLSQL is a cutting-edge B2B SaaS platform designed to empower employees by transforming natural language into actionable business data through an intuitive text-based interface. By leveraging Natural Language Processing (NLP), NLSQL enables users to query corporate databases using plain English, streamlining decision-making and accelerating operational efficiency. As the first NLP-to-SQL API of its kind, NLSQL allows seamless integration within existing enterprise systems without the need to transfer any sensitive or confidential information outside the corporate IT environment. This ensures robust data security and compliance with industry regulations. ...
    Starting Price: $987/month/unlimited users
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