Best Database Software - Page 14

Compare the Top Database Software as of August 2025 - Page 14

Database Clear Filters
  • 1
    Inery

    Inery

    Inery Blockchain

    Inery is layer-1 blockchain designed to offer the solution of decentralized database management with the vision to enable a new paradigm for data. It lays the foundation for web3 by seamlessly connecting with systems, applications, and layer-1 networks. Inery’s data management system (IneryDB) integrates blockchain functionalities with distributed database management properties. Built on a decentralized infrastructure, IneryDB supports high throughput, low latency, complex query search and owner-controlled data assets. IneryDB allows developers and enterprises to securely store, access, manage and deliver data on a decentralized infrastructure supporting various industries. Inery's layer-1 blockchain facilitates secure data sharing with greater speed and better security. It lays the foundation of the underlying infrastructure to deploy decentralized applications and allow cross-chain interoperability.
  • 2
    BigchainDB

    BigchainDB

    BigchainDB

    With high throughput, low latency, powerful query functionality, decentralized control, immutable data storage and built-in asset support, BigchainDB is like a database with blockchain characteristics. BigchainDB allows developers and enterprise to deploy blockchain proof-of-concepts, platforms and applications with a blockchain database, supporting a wide range of industries and use cases. Rather than trying to enhance blockchain technology, BigchainDB starts with a big data distributed database and then adds blockchain characteristics - decentralized control, immutability and the transfer of digital assets. No single point of control. No single point of failure. Decentralized control via a federation of voting nodes makes for a P2P network. Write and run any MongoDB query to search the contents of all stored transactions, assets, metadata and blocks. Powered by MongoDB itself.
  • 3
    Azure Data Studio
    Azure Data Studio is a cross-platform database tool for data professionals who use on-premises and cloud data platforms on Windows, macOS, and Linux. Azure Data Studio offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal. It's engineered with the data platform user in mind, with the built-in charting of query result sets and customizable dashboards. Use Azure Data Studio to query, design, and manage your databases and data warehouses wherever they are, on your local computer or in the cloud. We recommend the user installer, which simplifies installations and updates and doesn't require Administrator privileges.
  • 4
    Credential Sentry

    Credential Sentry

    Credential Sentry

    Check the professional license status of your employees and business partners on autopilot to stay informed about license suspension, protect your reputation, and avoid unnecessary financial losses. Verify credentials accurately, and hire only fully certified professionals - whether contractors or employees - to avoid financial and reputational damage. Automating the verification process for contractors and employees has never been easier: with a few clicks, you can look up current credentials information, screening an unlimited number of names at once. Streamline your professional license search by validating any number of records as many times as you need, saving both time and money while also boosting productivity.
    Starting Price: $30 per user per month
  • 5
    NocoDB

    NocoDB

    NocoDB

    NocoDB is an open-source platform that turns any database into a smart spreadsheet. Create unlimited grid view, gallery view, form view from your own data. Search, sort, filter columns and rows with ultra ease. Share views publicly and also with password protection. Turn software consumers into software producers within each organization.
  • 6
    PartiQL

    PartiQL

    PartiQL

    PartiQL's extensions to SQL are easy to understand, treat nested data as first class citizens and compose seamlessly with each other and SQL. This enables intuitive filtering, joining and aggregation on the combination of structured, semistructured and nested datasets. PartiQL enables unified query access across multiple data stores and data formats by separating the syntax and semantics of a query from the underlying format of the data or the data store that is being accessed. It enables users to interact with data with or without regular schema. PartiQL syntax, semantics, the embeddable reference interpreter, CLI, test framework, and tests are licensed under the Apache License, version 2.0, allowing you to freely use, copy, and distribute your changes under the terms of your choice.
  • 7
    pgEdge

    pgEdge

    pgEdge

    Easily deploy a high availability solution for disaster recovery and failover between and within cloud regions and zero downtime for maintenance. Improve performance and availability with multiple master databases spread across different locations. Keep local data local and control which tables are globally replicated, and which stay local. Support higher throughput when workloads threaten to exceed available compute capacity. For organizations that need or prefer to self-host and self-manage their databases, pgEdge Platform runs on-premises or in self-managed cloud provider accounts. Runs on numerous OS and hardware combinations, and enterprise-class support is available. Self-hosted Edge Platform nodes can also be part of a pgEdge Cloud Postgres cluster.
  • 8
    Undb

    Undb

    Undb

    Undb is delighted to meet you all. We hope you can try it out and provide valuable feedback and suggestions. Undb is currently in the early stages of open source development and is not recommended for production use. Please note that once the demo website is redeployed, the previous table data will be cleared. The Undb open-source spreadsheet platform provides a visual drag-and-drop interface and configurable operations, allowing anyone to quickly build their business systems, process various data, and optimize business logic. Undb can render tens of thousands of data in just a few seconds. Undb is private first, you can deploy your instance of undb and handle your data locally. Using SQLite and local object storage by default requires only one file to persist your data. Many built-in field types and configurable.
  • 9
    SurrealDB

    SurrealDB

    SurrealDB

    SurrealDB offers a dynamic and adaptable platform for business. With an integrated suite of cutting-edge database solutions, tools, and services, SurrealDB empowers your workforce to discover innovative answers using products meticulously crafted to meet their requirements. The query language in SurrealDB looks and works similarly to traditional-SQL, but allows for querying over time-series and connected graph data. SurrealQL is an advanced query language, with programming language functionality, that allows developers or data analysts to work with SurrealDB in the ways they choose. Connect directly to SurrealDB from any end-user client device. Run SurrealQL queries directly within web-browsers, ensuring that users can only view or modify the data that they are allowed to access. Highly-performant WebSocket connections allow for efficient bi-directional queries, responses and notifications.
  • 10
    ParadeDB

    ParadeDB

    ParadeDB

    ParadeDB brings column-oriented storage and vectorized query execution to Postgres tables. Users can choose between row and column-oriented storage at table creation time. Column-oriented tables are stored as Parquet files and are managed by Delta Lake. Search by keyword with BM25 scoring, configurable tokenizers, and multi-language support. Search by semantic meaning with support for sparse and dense vectors. Surface results with higher accuracy by combining the strengths of full text and similarity search. ParadeDB is ACID-compliant with concurrency controls across all transactions. ParadeDB integrates with the Postgres ecosystem, including clients, extensions, and libraries.
  • 11
    Yandex Managed Service for YDB
    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.
  • 12
    Yandex Managed Service for Redis
    You can deploy a ready-to-use cluster in just a few minutes. DB settings are initially optimized for the cluster size you selected. If the load on your cluster increases, you can add new servers or increase their capacity in a matter of minutes. Redis stores data in key-value format, supported values include strings, arrays, dictionaries, sets, bitmasks, and other types. Redis runs in RAM and is therefore suitable for tasks that require a quick response or involve performing a large number of operations on a relatively small amount of data. Backups of database contents are GPG-encrypted. Data is secured in accordance with the requirements of local regulatory, GDPR, and ISO industry standards. Set a time limit for Yandex Managed Service for Redis to automatically delete data and optimize your data storage costs.
  • 13
    Yandex Managed Service for MongoDB
    Get access to new MongoDB features and official releases that are 100% compatible with the platform. If the load on your cluster increases, you can add new servers or increase their capacity in a matter of minutes. Invest your time in your project, and we’ll take care of database maintenance: software backups, monitoring, fault tolerance, and updates. You can enable sharding for clusters that have MongoDB version 4.0 or higher. You can also add and configure individual shards to improve cluster performance. All DBMS connections are encrypted using the TLS protocol, and DB backups are GPG-encrypted. Data is secured in accordance with the requirements of local regulatory, GDPR, and ISO industry standards. MongoDB has no regular tables and stores data as collections of JSON-like documents. This is great for projects where data structures may change during development.
  • 14
    Yandex Managed Service for Apache Kafka
    Focus on developing data stream processing applications and don’t waste time maintaining the infrastructure. Managed Service for Apache Kafka is responsible for managing Zookeeper brokers and clusters, configuring clusters, and updating their versions. Distribute your cluster brokers across different availability zones and set the replication factor to ensure the desired level of fault tolerance. The service analyzes the metrics and status of the cluster and automatically replaces it if one of the nodes fails. For each topic, you can set the replication factor, log cleanup policy, compression type, and maximum number of messages to make better use of computing, network, and disk resources. You can add brokers to your cluster with just a click of a button to improve its performance, or change the class of high-availability hosts without stopping them or losing any data.
  • 15
    Yandex Managed Service for Greenplum
    Analyze the performance of Greenplum DBMS using monitoring and query management tools in the command center, where you can also view and download query and session histories. Hybrid Storage in Yandex Managed Service for Greenplum® is natively integrated with Object Storage, allowing you to organize hybrid storage with automatic data transfers to cold storage. You can deploy a ready-to-use cluster in just a few minutes. DB settings are optimized for the selected cluster size and you can change them if necessary. Thanks to its integration with the DataLens BI system, build reports, charts, and dashboards, directly from the service, based on data stored in Greenplum. All DBMS connections are encrypted using the TLS protocol. Our infrastructure meets local regulatory, GDPR, industry-specific ISO standards, and PCI DSS security requirements.
  • 16
    FlashGrid

    FlashGrid

    FlashGrid

    FlashGrid's software solutions are designed to enhance the reliability and performance of mission-critical Oracle databases across various cloud platforms, including AWS, Azure, and Google Cloud. By enabling active-active clustering with Oracle Real Application Clusters (RAC), FlashGrid ensures a 99.999% uptime Service Level Agreement (SLA), effectively minimizing business disruptions caused by database outages. Their architecture supports multi-availability zone deployments, safeguarding against data center failures and local disasters. FlashGrid's Cloud Area Network software facilitates high-speed overlay networks with advanced high availability and performance management capabilities, while their Storage Fabric software transforms cloud storage into shared disks accessible by all nodes in a cluster. The FlashGrid Read-Local technology reduces storage network overhead by serving read operations from locally attached disks, thereby enhancing performance.
  • 17
    SDF

    SDF

    SDF

    SDF is a developer platform for data that enhances SQL comprehension across organizations, enabling data teams to unlock the full potential of their data. It provides a transformation layer to streamline query writing and management, an analytical database engine for local execution, and an accelerator for improved transformation processes. SDF also offers proactive quality and governance features, including reports, contracts, and impact analysis, to ensure data integrity and compliance. By representing business logic as code, SDF facilitates the classification and management of data types, enhancing the clarity and maintainability of data models. It integrates seamlessly with existing data workflows, supporting various SQL dialects and cloud environments, and is designed to scale with the growing needs of data teams. SDF's open-core architecture, built on Apache DataFusion, allows for customization and extension, fostering a collaborative ecosystem for data development.
  • 18
    SchemaFlow

    SchemaFlow

    SchemaFlow

    SchemaFlow is a powerful tool designed to enhance AI-powered development by providing real-time access to your PostgreSQL database schema through the Model Context Protocol (MCP). It allows developers to connect their databases, visualize schema structures with interactive diagrams, and export schemas in various formats such as JSON, Markdown, SQL, and Mermaid. With native MCP support via Server-Sent Events (SSE), SchemaFlow enables seamless integration with AI-Integrated Development Environments (AI-IDEs) like Cursor, Windsurf, and VS Code, ensuring that AI assistants have up-to-date schema information for accurate code generation. It offers secure token-based authentication for MCP connections, automatic schema synchronization to keep AI assistants informed of any changes, and a schema browser for easy navigation of tables and relationships.
  • 19
    MAISY Database

    MAISY Database

    Jackson Associates

    MAISY Commercial and Residential Utility Customer Energy Use and Hourly Loads Databases were introduced in 1995, including information on 10,000 utility customers throughout the US. Databases have been vastly updated and extended each year to provide 2020 MAISY Databases that now include current energy use and hourly load profile data on more than 7 million US individual commercial and residential utility customers. Databases include information on building, equipment, operation, occupant, and energy use for each utility customer record. MAISY Commercial and residential hourly load profile databases have been developed from dozens of data sources including utility, association, government and Jackson Associates proprietary utility customer surveys and detailed appliance engineering analysis. Databases reflect a statistically valid sample of residential and commercial utility customers throughout the US.
  • 20
    SenseDeep

    SenseDeep

    SenseDeep

    Accelerate, design, debug and deliver serverless faster! The most powerful collection of DynamoDB tools with single-table aware data browser, designer, provisioning planner, migration manager and metrics. Browser and manage tables that understands your single-table designs. Manage schemas and entities with the single-table designer. Determine best provisioning with real historical data. Upgrade and downgrade data with the migration manager. See exactly how your DynamoDB table is performing with detailed metrics at the account, table and single-table entity levels. Automated error detection for application, database and service events. Create Alarms and alerts for application log events, metrics, events and DynamoDB performance. Don't get swamped by alerts via smart notification dampening. Select monitored resources by tags, regular expressions or list.
  • 21
    PipelineDB

    PipelineDB

    PipelineDB

    PipelineDB is a PostgreSQL extension for high-performance time-series aggregation, designed to power realtime reporting and analytics applications. PipelineDB allows you to define continuous SQL queries that perpetually aggregate time-series data and store only the aggregate output in regular, queryable tables. You can think of this concept as extremely high-throughput, incrementally updated materialized views that never need to be manually refreshed. Raw time-series data is never written to disk, making PipelineDB extremely efficient for aggregation workloads. Continuous queries produce their own output streams, and thus can be chained together into arbitrary networks of continuous SQL.
  • 22
    DataStax

    DataStax

    DataStax

    The Open, Multi-Cloud Stack for Modern Data Apps. Built on open-source Apache Cassandra™. Global-scale and 100% uptime without vendor lock-in. Deploy on multi-cloud, on-prem, open-source, and Kubernetes. Elastic and pay-as-you-go for improved TCO. Start building faster with Stargate APIs for NoSQL, real-time, reactive, JSON, REST, and GraphQL. Skip the complexity of multiple OSS projects and APIs that don’t scale. Ideal for commerce, mobile, AI/ML, IoT, microservices, social, gaming, and richly interactive applications that must scale-up and scale-down with demand. Get building modern data applications with Astra, a database-as-a-service powered by Apache Cassandra™. Use REST, GraphQL, JSON with your favorite full-stack framework Richly interactive apps that are elastic and viral-ready from Day 1. Pay-as-you-go Apache Cassandra DBaaS that scales effortlessly and affordably.
  • 23
    MariaDB

    MariaDB

    MariaDB

    MariaDB Platform is a complete enterprise open source database solution. It has the versatility to support transactional, analytical and hybrid workloads as well as relational, JSON and hybrid data models. And it has the scalability to grow from standalone databases and data warehouses to fully distributed SQL for executing millions of transactions per second and performing interactive, ad hoc analytics on billions of rows. MariaDB can be deployed on prem on commodity hardware, is available on all major public clouds and through MariaDB SkySQL as a fully managed cloud database. To learn more, visit mariadb.com.
  • 24
    DBIntegrate

    DBIntegrate

    Transoft

    The latest version of DBIntegrate is now available for download; V.3.0.3.7. This release includes enhancements to CDC, and new features for data de-duplication to help make it easier for users to identify matches. CDC can now also write to a flat-text file on disconnection from the message queue, this file is then read back in to the message queue when it is next available prior to any new messages, this ensures that messages are still sent to the target data source in sequence. The Flat-text file option can also be used as the default CDC option, such as to allow overnight batch file imports into another system. A log loader mechanism is installed alongside this latest release which enables the files to be loaded via the command line utility. DBIntegrate can now write de-duplication merge scores to the DBI_WORK temporary tables. The record that is the master record can also be displayed under a DBI_RecordMerged column.
  • 25
    HanDbase

    HanDbase

    DDH Software

    HanDBase is a light and fast relational database manager for mobile devices which offers data entry, searching, sorting, filtering, printing and synchronization across a wide variety of desktop computers, tablets, handheld computing devices and smartphones. With HanDBase you can keep track of almost anything. Create your own custom data based applications in minutes using HanDBase and begin tracking whatever important information you need to be more productive while on the go. HanDBase is available as a separate product for many different devices and Operating Systems. Cross-platform technology makes it possible to seamlessly share database files & records with different types of devices. Forms Designer is available for some versions. Create completely custom interfaces for your records. Multi-user Syncing technology merges two or more users data into a single database / table.
  • 26
    ONTAP

    ONTAP

    NetApp

    ONTAP: The industry-leading enterprise data management software. You need a solid foundation for your seamless hybrid cloud. NetApp® ONTAP® data management software gives you every advantage possible—everywhere. Looks like you just won the data management lottery. Seamlessly manage your data as it flows to and from wherever you need it most. We get it—you have more than one “#1 priority” right now…Help your business grow. Reliably support your current applications. Anticipate and prepare for the future. Plus, do it all without additional IT budget. With ONTAP, you don’t need to compromise to achieve these priorities. Quickly respond to new business challenges, simplify your day-to-day activities, and impress your team. Sound like your cup of tea? Whatever your data management needs—on your premises and in the cloud—ONTAP has you covered.
  • 27
    ShadowProtect

    ShadowProtect

    StorageCraft Technology

    Like disasters, IT environments are anything but standard. That’s why businesses need a single cross-platform solution that protects a mixed, hybrid environment. ShadowProtect® backup and disaster recovery software ensures on-prem business systems and data are fully protected and always available. With ShadowProtect, meet or beat your recovery time and recovery point objectives (RTOs and RPOs). Recover files and folders in minutes. Restore failed servers. Use patented VirtualBoot technology to instantly boot a backup image into a virtual machine. ShadowProtect image-based backups arm you with multiple ways to recover. Grab a missing file, restore an entire data volume, or restore a failed server’s system to a new physical or virtual machine with no headaches (P2P, P2V, V2P, V2V). You can rely on ShadowProtect because it provides automated verification of backup images to ensure they’ll work when disaster strikes.
  • 28
    Comarch Master Data Management
    Comarch Master Data Management is a central catalog of products in the cloud, ensuring effective management of product data and its exchange with business partners. The solution is GS1 certified, which means it guarantees data exchange in the GDSN (Global Data Synchronization Network). The more we know about how important for business growth effective data-sharing is, the more we realize that it is not just about how fast information is distributed among buyers and suppliers. It is also about the quality and transparency of the exchanged data. To help you synchronize your product data with all trading partners, we deliver Comarch Master Data Management - a cloud-based, GDSN certified data pool that allows you to organize, verify, manage, and maintain business-relevant information with ease. Providing each authorized party with instant access to a shared database, it guarantees real-time updates - giving you and your partners a chance to track all critical changes.
  • 29
    HyperSQL DataBase

    HyperSQL DataBase

    The hsql Development Group

    HSQLDB (HyperSQL DataBase) is the leading SQL relational database system written in Java. It offers a small, fast multithreaded and transactional database engine with in-memory and disk-based tables and supports embedded and server modes. It includes a powerful command line SQL tool and simple GUI query tools. HSQLDB supports the widest range of SQL Standard features seen in any open source database engine: SQL:2016 core language features and an extensive list of SQL:2016 optional features. It supports full Advanced ANSI-92 SQL with only two exceptions. Many extensions to the Standard, including syntax compatibility modes and features of other popular database engines, are also supported.
  • 30
    EDB Postgres Advanced Server
    An enhanced version of PostgreSQL that is continuously synchronized with PostgreSQL's with enhancements for Security, DBA and Developer features and Oracle database compatibility. Manage deployment, high availability and automated failover from Kubernetes. Deploy anywhere with lightweight, immutable Postgres containers. Automate with failover, switchover, backup, recovery, and rolling updates. Operator and images are portable to any cloud so you can avoid lock-in. Overcome containerization and Kubernetes challenges with our experts. Oracle compatibility means you can leave your legacy database without starting over. Migrate database and client applications faster with fewer rewrite problems. Improve the end-user experience by tuning and boosting performance. Deploy on-premises, in the cloud, or both. In a world where downtime means revenue loss, High Availability is key for business continuity.
    Starting Price: $1000.00/one-time