Best Database Software in the USA - Page 8

Fully managed and hosted PostgreSQL with high performance and all the extensions you want out of the box. Set up fully managed PostgreSQL in less than 10 minutes — directly from our web console or programmatically via our API, CLI, Terraform provider or Kubernetes operator. Our stand-by nodes act automatically as read replicas, and you can also create additional read replicas in different public clouds and regions, even building multi-cloud architectures. Our Point-In-Time-Recovery lets you restore your data to any time within your selected retention period. A fully managed SQL relational database, deployable in the cloud of your choice. Known for reliability, a robust set of features, and exceptionally high performance. Fits well for almost any case, such as creating location-based services, mission critical business applications or simply as a general transactional database.

A cloud-native distributed HTAP database built for elastic scaling and real-time analytics in a fully managed service, with its serverless tier enabling your launching of the HTAP database in seconds. Elastically and transparently scale to hundreds of nodes for critical workloads without changing business logic. Use what you know about SQL, and maintain your relational model and global ACID transactions while coping with your hybrid workloads at ease. Equipped with a built-in high-performance analytics engine to analyze operational data without using an ETL. Scale-out to hundreds of nodes while maintaining ACID transactions. No need to bother with sharding or facing downtime. Ensure data accuracy at scale, even for simultaneous updates to the same data source. Increase productivity and shorten time-to-market for your applications with TiDB’s MySQL compatibility. Easily migrate data from existing MySQL instances without the need to rewrite code.

A streaming database is purpose-built to ingest, store, process, and analyze massive data streams. It is a modern data infrastructure that unifies messaging, stream processing, and storage to help get value out of your data in real-time. Ingest massive amounts of data continuously generated from various sources, such as IoT device sensors. Store millions of data streams reliably in a specially designed distributed streaming data storage cluster. Consume data streams in real-time as fast as from Kafka by subscribing to topics in HStreamDB. With the permanent data stream storage, you can playback and consume data streams anytime. Process data streams based on event-time with the same familiar SQL syntax you use to query data in a relational database. You can use SQL to filter, transform, aggregate, and even join multiple data streams.

Import data sets from your databases using SQL queries. Analyze your data sets using analysis tables and pivot tables. Discover new patterns and trends from your analysis. Share your discoveries using PDF reports, or export to Excel, HTML, and XML files. Get actionable insights from your SQL data sets in a fast and easy way. Sort, filter, group, and summarize your SQL data sets in whichever way you need. You can group columns in whichever order you require. This allows you to summarize your data in many possible ways, potentially uncovering new information or patterns. Create summaries for any columns, or even multiple summaries for the same column using different functions. View summaries in group headers, group footers, and column footers. Highlight exceptional values using flexible rules and formulas. Sort one or more columns in ascending or descending orders, in the sequence you require. Each column can be filtered to display only the data you want to see.

Embedded performant database with schema builder, data validations, real-time subscriptions, and easy-to-use REST API. Sanely store files locally or in S3 storage. Easily attach media to your database records and generate thumbs on the fly. Use as a standalone app or as Go framework, that you can extend via hooks to create your own custom portable backend. Provides official client SDKs for painless integration. PocketBase differs from other similar backend solutions like Firebase, Supabase, Nhost, etc. and doesn't support running cloud functions. Instead, PocketBase could be used as a Go framework that enables you to build your own custom app-specific business logic and still have a single portable executable at the end.

Combine the flexibility of a spreadsheet with the robustness of a database to organize your data, your way. Unify your spreadsheets in one beautiful relational structure. Control over who sees what — down to each row and column. Share limited views of only relevant data with third parties. Rest easy with open source software, automatic backups, and no data lock-in. See records as customizable data cards, and attach relevant images and files. Create dashboard charts and summaries to see the big picture. Make charts that update dynamically as you drill into data. With the ability to customize your layouts and link related data, you’ll have everything you need at your fingertips. Set rules to control which team members can see or edit which parts of your data, and share only relevant data to third parties via links.

Bytebase offers a web-based collaboration workspace to help DBAs and developers manage the database development lifecycle. Standardize database changes with peer review, lint rules, and GitOps integration. Run ad-hoc SQL queries with built-in data privacy protection via web-based IDE. Eliminate administrative complexity and ensure compliance with holistic policy control. Bytebase streamlines database deployment from non-prod to prod with change review workflow and optional GitOps integration. 100+ lint rules to detect SQL anti-patterns and enforce consistent SQL style in the organization. Batch change to multiple databases across different environments and tenants in a single ticket. Reuse developer workflow and manage change scripts in VCS. Lockless schema change to reduce database downtime from hours to seconds. Bytebase employs a security-first approach to protect your data with access control, data anonymization, watermarking, audit log, and more.

Version control features from Git on your SQL database tables. Commit, branch, merge, clone, pull, and push your data and schema. Use a familiar interface to query data and explore history as of time, commit, branch, or tag. Dolt solves this problem with a special type of replica you add to an existing MySQL deployment. No migration is required. You get an audit log of every cell, time travel, and branch for development on a replica.

Tabular is an open table store from the creators of Apache Iceberg. Connect multiple computing engines and frameworks. Decrease query time and storage costs by up to 50%. Centralize enforcement of data access (RBAC) policies. Connect any query engine or framework, including Athena, BigQuery, Redshift, Snowflake, Databricks, Trino, Spark, and Python. Smart compaction, clustering, and other automated data services reduce storage costs and query times by up to 50%. Unify data access at the database or table. RBAC controls are simple to manage, consistently enforced, and easy to audit. Centralize your security down to the table. Tabular is easy to use plus it features high-powered ingestion, performance, and RBAC under the hood. Tabular gives you the flexibility to work with multiple “best of breed” compute engines based on their strengths. Assign privileges at the data warehouse database, table, or column level.

Quesma is a lightweight compatibility and translation layer that seamlessly connects your apps with the modern database platforms of your choice. We help customers innovate faster by reshaping how applications are built and connected to their databases. Quesma database gateway enables development teams to modernize and evolve application architecture. Modernizing the core of the application stack is hard, and companies are locked to old, ineffective, costly database platforms and are scared of trying something new due to enormous risk, increased interim cost, and never-ending push for innovation. We want to make their life easier by finishing the microservice revolution in the database realm, and un-bundle clients' app stack from the database engine by introducing a smart gateway/proxy in between.

Manage your database on a spreadsheet-UI and build powerful backend cloud functions, scalably without leaving your browser. Start like no-code, extend with code.

BuildShip is a lowcode visual backend builder that lets you ship APIs, scheduled jobs, AI workflows, cloud jobs instantly. Connect with any database, tools and AI models to create complete backend logic flows. Use prebuilt nodes or use AI to create custom logic nodes just for you. By combining the ease of nocode with power of low-code extensibility - BuildShip gives you a scalable way to build your backend fast. Supports powerful use-cases like: 💸 Collect payment and trigger Stripe, RevenueCat, Lemon Squeezy for subscription workflows 🪄 Trigger AI workflows and build AI apps' backend 🔌 Creating APIs for processing your data and CRUD ops on database 📝 Send form submission data to third party tools 🤖 Add AI Assistant Chatbot with OpenAI, Azure, Claude, Groq or any model 💌 Email users, generate leads, enrich data The possibilities are endless with BuildShip ✨

Hue brings the best querying experience with the most intelligent autocomplete and query editor components. The tables and storage browsers leverage your existing data catalog knowledge transparently. Help users find the correct data among thousands of databases and self-document it. Assist users with their SQL queries and leverage rich previews for links, sharing from the editor directly in Slack. Several apps, each one specialized in a certain type of querying are available. Data sources can be explored first via the browsers. The editor shines for SQL queries. It comes with an intelligent autocomplete, risk alerts, and self-service troubleshooting. Dashboards focus on visualizing indexed data but can also query SQL databases. You can now search for certain cell values in the table and the results are highlighted. To make your SQL editing experience, Hue comes with one of the best SQL autocomplete on the planet.

Focus on application innovation, not database management, with a fully managed and intelligent Azure Database for PostgreSQL. Scale your workload quickly with ease and confidence. Enjoy high availability with a service-level agreement (SLA) of up to 99.99 percent uptime and a choice of same-zone or zone-redundant high availability, AI-powered performance recommendations, and built-in enterprise security. Focus on application innovation with a fully managed PostgreSQL database as a service. The zone-redundant high availability automates maintenance, patching, and updates. Provision in minutes and independently scale compute or storage. Decrease costs with comprehensive database monitoring and optimization tools. Take advantage of intelligent performance recommendations to help ensure peak performance. Migrate with ease using a fully managed PostgreSQL database with support for the latest versions. Build with your favorite PostgreSQL extensions such as Cron, PostGIS, PLV8, etc.

Focus on application development with Azure Database for MySQL, which is cost-effective and easy to set up, operate, and scale. Enjoy advanced security, high availability, and a service-level agreement (SLA) of up to 99.99 percent. Fully managed MySQL, compatible with the latest community editions, provides maximum flexibility for database operations. Intelligent performance recommendations provide custom analysis and suggestions for MySQL database optimization. Simplified development experience and tight interoperability with Azure App Service and Azure Kubernetes Service (AKS). Enterprise-grade security and compliance, and enhanced security capabilities of Microsoft Defender for Identity. Easily build or migrate your workloads to Azure Database for MySQL. Set up, manage, and automate the maintenance of your MySQL database server, including routine updates, backups, and security. Build with the latest MySQL tools, drivers, and programming languages.

Cost-effectively run mission-critical workloads at scale with Azure Managed Instance for Apache Cassandra. Easily manage changing demands with multiple resource and data replication options. Ensure business continuity with zero downtime scalability for hybrid and cloud deployments. Develop applications faster using familiar and fully compatible Cassandra tools and languages. Free yourself from infrastructure management without compromising security. Run your workloads on a managed, secure service to streamline operations with automated repairs, patches, and updates. Make your database more durable and resilient with automatic backups and disaster recovery. Retain the flexibility and control of your hardware configuration with turnkey scaling services and hybrid deployment options. An instance-based pricing model enables you to define the number of CPU cores, virtual machines SKU, and memory/disk space needs.

Get access to new functionalities, security patches, and other Elasticsearch improvements with official subscriptions. You can deploy a ready-to-use cluster in just a few minutes. Elasticsearch and Kibana stack settings are initially optimized for the cluster size you selected. Invest your time in your project, and we’ll take care of cluster maintenance, software backups, monitoring, fault tolerance, and updates. Index sharding reduces the load on each host and makes it easy to scale a cluster under peak loads. It’s much easier to develop an infrastructure if you have a visual representation of system behavior. Create trends, make forecasts, and evaluate system stability in a user-friendly interface. To create fault-tolerant geo-distributed Elasticsearch and Kibana clusters, just select the number of hosts and specify availability zones. Select the necessary computing capacity and create a ready-to-use Elasticsearch cluster.

A service for managing OpenSearch clusters in Yandex Cloud infrastructure. Take advantage of this popular open source solution and integrate fast and scalable full-text search into your products. Deploy a ready-to-use OpenSearch cluster in just a few minutes, with product settings already optimized for the chosen cluster size. We take care of cluster maintenance: reserves, monitoring, fault tolerance, and software updates. Use our visualization tools to set up analytical dashboards, application monitoring, and alert systems. Connect third-party authentication and authorization services (SAML). The service supports granular configurations for data access levels. Open source code allows us to develop the service together with the community, be the first to provide timely updates and prevent vendor lock-in. OpenSearch is an easily scalable system of open source search and analytical tools. It offers a set of technologies for providing fast search and analytics.

A service for managing the GitLab DevOps platform on Yandex Cloud infrastructure. Each GitLab instance is hosted on a separate virtual server. There’s no need to share it with other clients. Backups are created every day, so you can be sure your data is always safe. Management, support, updates, and backups are entirely handled by Yandex Cloud. Full control over changes to the repository. Customize the process of mandatory reviews depending on the target branch and the composition of the merge request. Full control over work on each task. Manage users centrally, using a corporate user base via LDAP or other authentication protocols. Choose the required configuration, enter a unique domain, and create an instance. Create an instance, set up a runtime environment, and begin working with the repository.

Entrust YDB with keeping your application state regardless of how large or frequently modified it is. Handling petabytes of data and millions of transactions per second is not an issue. Build analytical reports based on data you store in YDB with performance comparable to database management systems purpose-built for this use case. No compromises on consistency and availability are necessary. Use the YDB topics feature to reliably send data between your applications or consume change data capture feed from regular tables. Exactly-once and at-least-once semantics are available to choose from. YDB is designed to work in three availability zones, ensuring availability even if the whole availability zone goes offline. It recovers automatically after a disk, server, or data center failure with minimum latency disruptions for applications.

If Postgres is at the core of your business and is a major source of data, PeerDB provides a fast, simple, and cost-effective way to replicate data from Postgres to data warehouses, queues, and storage. Designed to run at any scale, and tailored for data stores. PeerDB uses replication messages from the Postgres replication slot to replay the schema messages. Alerts for slot growth and connections. Native support for Postgres toast columns and large JSONB columns for IoT. Optimized query design to reduce warehouse costs; particularly useful for Snowflake and BigQuery. Support for partitioned tables via both publish. Blazing fast and consistent initial load by transaction snapshotting and CTID scans. High-availability, in-place upgrades, autoscaling, advance logs, metrics and monitoring dashboards, burstable instance types, and suitable for dev environments.

Write your prompt in natural language, mention the tables required, and generate a query with the AI model of your choice. Add as many connections as you want. Supports autocomplete for SQL queries to speed up your workflow. We do not store your schemas, queries, or credentials. We only use the data you provide to us to generate SQL queries. Download your results in CSV format. View your results in graphs and charts. Experience the power of AI-powered SQL queries with our free plan. Quickly generate your complex SQL queries with the help of AI. SQLPilot is your AI-first SQL query tool to generate queries with all the context you need.

Entity Framework (EF) Core is a lightweight, extensible, open source and cross-platform version of the popular Entity Framework data access technology. Enables .NET developers to work with a database using .NET objects. Eliminates the need for most of the data-access code that typically needs to be written. With EF Core, data access is performed using a model. A model is made up of entity classes and a context object that represents a session with the database. The context object allows querying and saving data. Generate a model from an existing database. Hand code a model to match the database. Once a model is created, use EF migrations to create a database from the model. Migrations allow evolving the database as the model changes. Instances of your entity classes are retrieved from the database using Language Integrated Query (LINQ). Data is created, deleted, and modified in the database using instances of your entity classes.

LanceDB is a developer-friendly, open source database for AI. From hyperscalable vector search and advanced retrieval for RAG to streaming training data and interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application. Installs in seconds and fits seamlessly into your existing data and AI toolchain. An embedded database (think SQLite or DuckDB) with native object storage integration, LanceDB can be deployed anywhere and easily scales to zero when not in use. From rapid prototyping to hyper-scale production, LanceDB delivers blazing-fast performance for search, analytics, and training for multimodal AI data. Leading AI companies have indexed billions of vectors and petabytes of text, images, and videos, at a fraction of the cost of other vector databases. More than just embedding. Filter, select, and stream training data directly from object storage to keep GPU utilization high.

Tobiko is a data transformation platform that ships data faster, more efficiently, and with fewer mistakes, backward compatible with databases. Make a dev environment without rebuilding the entire DAG. Tobiko only changes what's necessary. Don't rebuild everything when you add a column. You already built your change. Tobiko promotes prod instantly without redoing your work. Avoid debugging clunky Jinja and define your models in SQL. Tobiko works at a startup and at an enterprise scale. Tobiko understands the SQL you write and improves developer productivity by finding issues at compile time. Audits and data differences provide validation and make it easy to trust the datasets you produce. Every change is analyzed and is automatically categorized as either breaking or non-breaking. When mistakes happen, seamlessly roll back to the prior version, allowing teams to reduce downtime in production.

Build any application on Postgres, the everything database. Enjoy the unmodified open source community Postgres and all the benefits of cloud-native architecture, such as high availability, rolling updates, resource management, and more. Deployment, configuration, management, and optimization are complicated. We handle them so you can focus on your application. No two organizations are alike. Run securely in the cloud with tools like user tiers, ip allow lists, and encrypted at-rest, or deploy in your own environment. Clear, elegant, delightful UI, because developers deserve nice things too. What’s more, our CLI-first system puts the power of Postgres in your hands. Focus on your product, not your database. We optimize your whole environment, hardware, Postgres configs, and relevant extensions, to give you the best performance for your workload. No hidden costs or surprise up-charges. You only pay for what you actually use. Store as much as you need, query as much as you want.

Impala provides low latency and high concurrency for BI/analytic queries on the Hadoop ecosystem, including Iceberg, open data formats, and most cloud storage options. Impala also scales linearly, even in multitenant environments. Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Ranger module, you can ensure that the right users and applications are authorized for the right data. Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment, with no redundant infrastructure or data conversion/duplication. For Apache Hive users, Impala utilizes the same metadata and ODBC driver. Like Hive, Impala supports SQL, so you don't have to worry about reinventing the implementation wheel. With Impala, more users, whether using SQL queries or BI applications, can interact with more data through a single repository and metadata stored from source through analysis.

Instant is for building real-time and offline-enabled applications. We make it easy to build collaborative products like Notion or Figma. The best apps today have a common feature set. Every interaction happens instantly, you rarely see loading screens, collaboration is easy and delightful, and the app still works when offline. Instant solves problems for you by giving you a database you can subscribe to directly in the browser. You write relational queries in your app, and we handle the rest. Instant was born when we realized that some of the hardest UI problems are actually database problems in disguise. When you solve problems at the database layer, your software becomes more powerful and succinct. When apps are at their best, every change a user makes should reflect instantly. There should be a few spinners, loading states, or refresh buttons. With Instant, optimistic updates are handled for you.

ToucanTech is a sophisticated cloud-based software solution specially developed to manage and grow alumni communities. Designed for schools, universities, and companies of all sizes, ToucanTech gives organizations the power to manage all alumni and/or community relations in one complete, centralized platform. Synced with social media and integrated with customer management relationship (CRM) and other features such as mentoring, fundraising, news, events, and more, ToucanTouch enables you to save time and money with its stellar system that seamlessly manages data and tasks across multiple applications.

Traverse by Kaseya offers unified monitoring of hybrid cloud and network infrastructure in enterprise and managed service provider (MSP) environments. With Traverse, IT professionals and MSPs can quickly detect and resolve data center and networking issues before they impact service levels. It links and correlates all underlying IT components that support a business service or process so users can have a comprehensive service-oriented view of their IT infrastructure. Traverse's top features include unified proactive monitoring, actionable alerts, and predictive analytics, among others.