Best Relational Database of 2024

Interactive querying that is serverless for analyzing data stored in IBM Cloud Object Storage. You can query your data right where it is stored - there are no ETL, databases or infrastructure to manage.

Scale as much as you need, with no limitations Globally distributed ACID-compliant database that automatically handles replicas and sharding. Transaction processing is also included. This allows you to quickly scale up to meet any usage pattern and ensure the success of your products. Make your database easily accessible anywhere: Cloud Spanner is built using Google's dedicated network, and battle tested by Google services that are used by billions. It provides up to 99.999% availability and zero downtime for scheduled maintenance or schema changes. You can do less tedious tasks and have a more enjoyable experience. IT administrators and DBAs are overwhelmed with managing databases. Cloud Spanner makes it easy to create or scale a globally replicated database in just a few clicks. This also reduces the cost of maintaining databases.

With relational database management systems (RDBMS), solutions from SAP SQL Anywhere, you can run your business from anywhere. Secure, reliable data management for servers without a DBA. Also, synchronization for thousands of mobile devices, IoT systems, and remote environments. Remote offices and mobile devices can receive critical business data for faster, more accurate decision-making. Mobile applications can be run reliably and efficiently even without the need for technical staff. This gives remote workers and mobile workers a seamless experience, even when they're not on-site. With built-in self-managing capabilities, users can streamline data maintenance tasks and resolve issues quickly and efficiently. Strong encryption features can help protect and secure your data even during data exchange and transmission.

RDS for MySQL provides a reliable and scalable cloud-based database service. Database deployment is quick and easy. This allows you to focus on application development. You can say goodbye to tedious database O&M once again. With just a few clicks, you can easily create a MySQL database. RDS for MySQL allows you to deploy software and hardware and manage your databases. This includes monitoring metrics, installing patches, managing metrics, dynamically scaling up and down, failing over, and installing patches. RDS for MySQL excels in handling large numbers of concurrent requests thanks to its optimized kernel thresholds. It is superior to the MySQL community edition. RDS for MySQL uses implicit key primary keys to ensure that there is almost no delay in primary/standby replication. No data is lost, even when your database is loaded heavily. You can easily add 1 TB storage to your database as your storage requirements increase. This allows you to create read replicas quickly and with zero downtime.

The enterprise database for time series, documents, and vectors. Store any type data and combine the simplicity and scalability NoSQL with SQL. CrateDB is a distributed database that runs queries in milliseconds regardless of the complexity, volume, and velocity.

LeanXcale is fast and scalable database that combines SQL and NoSQL. It can ingest large batches of data and make it available via SQL or GIS for any purpose, including operational applications, analytics and dashboarding. No matter which stack you use, LeanXcale offers both SQL and NoSQL interfaces. The KiVi storage engine can be used as a relational key/value data store. The data can be accessed via the standard SQL API or a direct ACID key/value interface. This key-value interface allows users data ingestion at extremely high rates and efficiently, while avoiding SQL processing overhead. High-scalable, efficient, and distributed storage engine distributed data along a cluster to improve performance and increase reliability.

TimescaleDB is the most popular open-source relational database that supports time-series data. Fully managed or self-hosted. You can rely on the same PostgreSQL that you love. It has full SQL, rock-solid reliability and a huge ecosystem. Write millions of data points per node. Horizontally scale up to petabytes. Don't worry too much about cardinality. Reduce complexity, ask more questions and build more powerful applications. You will save money with 94-97% compression rates using best-in-class algorithms, and other performance improvements. Modern cloud-native relational database platform that stores time-series data. It is based on PostgreSQL and TimescaleDB. This is the fastest, easiest, and most reliable way to store all of your time-series information. All observability data can be considered time-series data. Time-series problems are those that require efficient solutions to infrastructure and application problems.

High performance, fully managed and hosted PostgreSQL. All the extensions you need right out of the box. You can set up fully managed PostgreSQL within 10 minutes using our web console, or programmatically via our API or CLI, Terraform provider, or Kubernetes operators. Stand-by nodes can be used as read replicas. You can also create additional read replicas in other public clouds or regions. Our Point-In-Time-Recovery lets you restore your data to any time within your selected retention period. Fully managed SQL relational database that can be deployed in the cloud of choice. It is known for its reliability, robust features, and exceptional performance. It can be used in almost any situation, including creating location-based services, mission-critical business applications, or as a general transactional data base.

RDS for MySQL is a relational cloud database with high performance and reliability. It offers a simple and convenient web-based interface, reliable data backups and recovery features, as well as a complete security management service. RDS for MySQL is a relational database service that provides high-performance, high-reliability. It supports three series: stand-alone basic, dual high availability, and Raft Financial. It implements monitoring, automatic failureover, data backup, recovery, instance management and other features. It also meets the higher demands of customers for data management and storage, through slow SQL statistics, diagnosis, and reliable services such as cross domain hot instance groups. It supports disaster recovery for a single availability area and disaster recovery across multiple availability zones.

Apache Phoenix combines the best of both worlds to enable OLTP and operational analysis in Hadoop. This allows for low-latency Hadoop applications. HBase is used as the backing store for Apache Phoenix, which combines the power of SQL and JDBC with ACID transaction support and flexibility of late bound, schema-on read capabilities from the NoSQL realm. Apache Phoenix is fully compatible with other Hadoop tools such as Spark and Hive. It also integrates with Pig, Flume and Map Reduce. Become the trusted Hadoop data platform for OLTP, operational analytics and Hadoop via well-defined APIs. Apache Phoenix compiles your SQL query into a series HBase scans and orchestrates their running to produce regular JDBC results sets. Direct use of HBase API along with coprocessors, custom filters and other tools results in performance of milliseconds or seconds for small queries.

Your database should follow the trend of distributed applications and architectures. With a distributed SQL database, you can deploy wherever you want, whenever you want, and however you want. Migration of existing SQL applications to a multi-node distributed architecture that can dynamically scale in and out. Our Transaction Engines and Storage Managers (SMs), work together to ensure ACID compliance across multiple Nodes. You can deploy in a distributed architecture. Multiple nodes are required to deploy a database. The loss of one or more nodes will not cause the loss of access to the database. Deploy TEs or SMs to meet your variable workload requirements, or deploy in the various environments your team uses: in public and private clouds, hybrid environments, and across clouds.

Free to create, manage, query, and explore Valentina DB and SQLite databases. You can create business reports in Valentina Studio Pro, Valentina Server, or in an application using an Application Developer Kit. Standard backward engineering with forwarding engineering in Valentina Studio Pro Create diagrams from existing databases and reverse engineering. Add new objects to diagrams. SQL queries can be written with color syntax and auto-completion. Define, manage, save favorite queries; access recent queries. Each function has a function browser dictionary. Consoles for errors and warnings. Search, Export result records to CSV, JSON or Excel. Edit multiple properties at once. You can drill down to fields and tables; it is a fast way to search. Create diagrams from existing databases by reverse engineering. Diagrams can be updated with new objects. Manage privileges and users by adding and dropping users and groups.

SAP HANA is an in-memory database with high performance that accelerates data-driven decision-making and actions. It supports all workloads and provides the most advanced analytics on multi-model data on premise and in cloud.

Businesses struggle to find answers as data volumes increase faster than ever. Teradata Vantage™, solves this problem. Vantage uses 100 per cent of the data available to uncover real-time intelligence at scale. This is the new era in Pervasive Data Intelligence. All data across the organization is available in one place. You can access it whenever you need it using preferred languages and tools. Start small and scale up compute or storage to areas that have an impact on modern architecture. Vantage unifies analytics and data lakes in the cloud to enable business intelligence. Data is growing. Business intelligence is becoming more important. Four key issues that can lead to frustration when using existing data analysis platforms include: Lack of the right tools and supportive environment required to achieve quality results. Organizations don't allow or give proper access to the tools they need. It is difficult to prepare data.

We have created a powerful system for product information management (PIM), media asset management (MAM), and cross media publishing based on our advastamedia®/O product media data database. All media related to product, marketing and PR are processed and managed. Consequently, advastamedia®/O supports many print and online publishing processes. MAM and PIM systems are often used in isolation. Each topic is very complex. To name a few, there are many challenges in mapping object dependencies, handling large amounts of data, and handling diverse outputs on PIM, as well as handling media assets, variants and maintenance workflows on MAM. There should not be any output boundaries between PIM/MAM - increasing data quality and flexibility require short paths and consistent data. Our integrated advastamedia® solution helps you save time, money, and resources.

IBM Db2®, a family of hybrid data management tools, offers a complete suite AI-empowered capabilities to help you manage structured and unstructured data both on premises and in private and public clouds. Db2 is built upon an intelligent common SQL engine that allows for flexibility and scalability.

IBM Informix®, a fast and flexible database that can seamlessly integrate SQL, NoSQL/JSON and time series data, is available. Informix's versatility and ease-of-use make it a popular choice for a wide variety of environments, including enterprise data warehouses and individual application development. Informix is also well-suited for embedded data management solutions due to its small footprint and self-managing capabilities.

SAP IQ, our columnar database management system (RDBMS), is optimized for Big Data analytics to enhance in-the-moment decision making.

QueryPlus(c), the next generation of insurance reporting, is a product called QueryPlus(c). QueryPlus(c), which uses your input to dynamically write complex SQL queries, then displays the results in a familiar, flexible grid format that allows data to be easily manipulated using drag and drop. QueryPlus(c), which can produce complex accounting reports and customer ranking reports, allows you to quickly and efficiently get the business data you need.

HEAVY.AI is a pioneer in accelerated analysis. The HEAVY.AI platform can be used by government and business to uncover insights in data that is beyond the reach of traditional analytics tools. The platform harnesses the huge parallelism of modern CPU/GPU hardware and is available both in the cloud or on-premise. HEAVY.AI was developed from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory. You can go beyond traditional BI and GIS and extract high-quality information from large datasets with no lag by leveraging modern GPU and CPU hardware. To get a complete picture of what, when and where, unify and explore large geospatial or time-series data sets. Combining interactive visual analytics, hardware accelerated SQL, advanced analytics & data sciences frameworks, you can find the opportunity and risk in your enterprise when it matters most.

Gilhari is a microservice framework that provides persistence for JSON objects in relational database. This microservice framework is available as a Docker image and can be configured according to an app-specific object or relational model. Gilhari exposes REST (Representational State Transfer) interface for APIs (POST/GET, PUT and DELETE ) to perform CRUD (Create. Retrieve. Update. Delete) operations on app-specific JSON objects. Here are some highlights from Gilhari: * Metadata driven, object model independent and database agnostic framework * Easily customizable/configurable to your JSON object model * JSON attributes can be mapped to table columns, allowing full query capabilities as well as optimizations * Supports complex object modeling, including 1-m, 1-m and m-m relationships * No code is required to handle REST APIs (POST/GET, PUT/DELETE), data exchange (CRUD), or database schema creation.

RelationalDB allows for rapid software delivery by providing fast access to a high-performance, enterprise-hardened relational data base instance that is built on our high-performance cloud platform. Datbase-as a-service allows you to quickly create a working database instance without the hassle of deploying the underlying compute infrastructure. You can also scale resources easily by clicking a button, as your requirements change. Software development is happening at lightning speed. This means that no one can afford to wait for physical infrastructure to be deployed. Lumen's Relational DB Service speeds up access to an enterprise-hardened, relational database instance. This means that your team can upload data and dig into application development in mere minutes. Our cloud platform is where the Lumen Relational DB service can be deployed.

Apache Druid, an open-source distributed data store, is Apache Druid. Druid's core design blends ideas from data warehouses and timeseries databases to create a high-performance real-time analytics database that can be used for a wide range of purposes. Druid combines key characteristics from each of these systems into its ingestion, storage format, querying, and core architecture. Druid compresses and stores each column separately, so it only needs to read the ones that are needed for a specific query. This allows for fast scans, ranking, groupBys, and groupBys. Druid creates indexes that are inverted for string values to allow for fast search and filter. Connectors out-of-the box for Apache Kafka and HDFS, AWS S3, stream processors, and many more. Druid intelligently divides data based upon time. Time-based queries are much faster than traditional databases. Druid automatically balances servers as you add or remove servers. Fault-tolerant architecture allows for server failures to be avoided.

Proficy Historian, a top-of-the-line historian software solution, collects industrial time-series data and A&E data at a high speed, stores it securely and efficiently, distributes it, and allows fast retrieval and analysis. This results in greater business value. Proficy Historian has thousands of satisfied customers around the globe and decades of experience. It makes data available for process and asset performance analysis. Proficy Historian's latest version improves usability, configuration and maintainability by making significant architectural improvements. The solution's powerful yet simple features will allow you to unlock new value for your equipment, process data and business models. Remote collector management with UX. Horizontal scaling that allows enterprise-wide data visibility

This service provides the full feature set of Informix on premises deployments at a fraction of the cost and complexity. It also reduces risk and lowers your overall infrastructure management costs. The IBM®, Informix®, on Cloud offering offers an Informix database on IBM Cloud®. Customers can enjoy the rich features of an Informix on-premises deployment, while reducing the cost, complexity, and risk of managing their own infrastructure. Informix on Cloud is a high-performance engine that combines time series, spatial and NoSQL data with easy access via MQTT, REST, and MongoDB APIs. Informix on Cloud makes cloud deployments easier and faster. It integrates spatial, NoSQL, time series, and SQL data. Flexible hosting and software licensing options can help reduce the complexity and cost of infrastructure maintenance. With 24/7 support, you can choose the right size for your business.