Best Database Management Systems (DBMS) for sqlmap

Find and compare the best Database Management Systems (DBMS) for sqlmap in 2025

Use the comparison tool below to compare the top Database Management Systems (DBMS) for sqlmap on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    SQL Server Reviews
    Microsoft SQL Server 2019 includes intelligence and security. You get more without paying extra, as well as best-in-class performance for your on-premises requirements. You can easily migrate to the cloud without having to change any code. Azure makes it easier to gain insights and make better predictions. You can use the technology you choose, including open-source, and Microsoft's innovations to help you develop. Integrate data into your apps easily and access a rich set cognitive services to build human-like intelligence on any data scale. AI is built into the data platform, so you can get insights faster from all of your data, both on-premises or in the cloud. To build an intelligence-driven company, combine your enterprise data with the world's data. You can build your apps anywhere with a flexible platform that offers a consistent experience across platforms.
  • 2
    Microsoft Access Reviews
    Top Pick
    Easy creation of database apps in formats that best suit your business. Only for PC. Access is an easy-to use tool to create business applications from templates or from scratch. Access's rich and intuitive design tools will allow you to create highly functional and appealing applications in a short time. You can tailor your apps to suit your business and customers by easily editing as necessary to meet changing needs. Visual Basic for Applications allows you to automate business processes, create more useful forms, and report. Access connector library allows you to integrate data between Access and line of business apps. This will allow you to generate aggregated visuals, insights, and visuals in the familiar Access interface. Store data in SQL Server or Microsoft Azure SQL for improved reliability, scalability and security.
  • 3
    CockroachDB Reviews
    CockroachDB: Cloud-native distributed SQL. Your cloud applications deserve a cloud-native database. Cloud-based apps and services need a database that can scale across clouds, reduces operational complexity, and improves reliability. CockroachDB provides resilient, distributed SQL with ACID transactions. Data partitioned by geography is also available. Combining CockroachDB and orchestration tools such as Mesosphere DC/OS and Kubernetes to automate mission-critical applications can speed up operations.
  • 4
    CUBRID Reviews

    CUBRID

    CUBRID

    $0.01/one-time/user
    CUBRID is a relational DBMS optimized for online transaction processing (OLTP) that complies with ANSI SQL standards and provides MVCC support, High-Availability (HA) capabilities, and GUI-based tools for DB management/migration. It also provides Oracle/MySQL compatibility and supports a variety of interfaces, including JDBC. * [Major RDBMS Features]: - ANSI SQL standard and support extended SQL syntaxes - Support VIEW/TRIGGER/PRIMARY KEY/FOREIGN KEY/SERIAL - Support Stored Procedure/Function - Seamless transactions: COMMIT/ROLLBACK/SAVEPOINT - Support automatic recovery in the event of failure CUBRID consists of a 3-tier structure of applications/interfaces, brokers, and servers, and the flexibility to build systems is ideal for data-intensive online transaction processing (OLTP) services. CUBRID provides ease of installation and native GUI-based administration tools for developers' convenience. Multi-threaded, multi-server architecture, native broker middleware, cost-based optimizer, and intensive caching techniques for your OLTP services. Very accurate predictable automatic fail-over built-in technology, based on the CUBRID Heartbeat native engine core.
  • 5
    InterSystems Caché Reviews
    InterSystems Cache®, a high-performance database, powers transaction processing applications all over the globe. It's used for everything, from mapping a million stars in the Milky Way to processing a trillion equity trades per day to managing smart energy grids. InterSystems has developed Cache, a multi-model (object-relational, key-value), DBMS and application server. InterSystems Cache offers multiple APIs that allow you to work with the same data simultaneously: key/value, relational/object, document, multidimensional, object, object, and object. Data can be managed using SQL, Java, node.js.NET, C++ and Python. Cache also offers an application server that hosts web apps (CSP, REST, SOAP and other types TCP access for Cache data).
  • Previous
  • You're on page 1
  • Next