Relational Databases
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SingleStore aims to deliver the world’s fastest distributed SQL database for data-intensive applications: SingleStoreDB, which combines transactional + analytical workloads in a single platform.
DB2 is a family of relational database software solutions offered by IBM. It includes standard Db2 and Db2 Warehouse editions, either deployable on-cloud, or on-premise.
SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading…
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Apache Tajo was a big data warehouse build for Apache Hadoop, designed for low-latency and scalable ad-hoc queries, online aggregation, and ETL (extract-transform-load process) on large-data sets stored on HDFS (Hadoop Distributed File System) and other data sources. The product…
GaussDB(for MySQL) is a next generation MySQL-compatible, enterprise-class distributed database service. It uses a decoupled compute and storage architecture and data functions virtualization (DFV) storage that auto-scales up to 128 TB per DB instance. The vendor states there is…
CrateDB is an open-source, distributed SQL database for relational and time-series data, from Crate.io headquartered in San Francisco. A solution for machine data, the vendor states CrateDB is purpose-built for the need to scale volume, variety and velocity of data while running…
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Huawei Cloud Relational Database Services (RDS) is a cloud database service which enables users to create a MySQL database. RDS is available for MySQL, PosgreSQL, and Microsoft SQL Server. RDS for MySQL facilitates software and hardware deployment and helps the user manage databases,…
TIBCO ComputeDB is offered as a low latency, highly available in-memory database with shared memory management and optimizations increases performance speed up to 20X over native Apache Spark, and scales to support large Apache Spark compatible stores. It is based on technology acquired…
Vector, an analytics database, handles continuous updates without a performance penalty. Vector is designed to achieve extreme performance with full ACID compliance on commodity hardware with the flexibility to deploy on-premises, and on AWS, Azure, and Google Cloud with little or…
HCL Actian X is a combination of Ingres Transactional Database and Vector Analytics Database, integration and a monitoring tool. HCL Actian X runs can be used to run business critical systems.
HCL Zen Edge Data Management (formerly Actian Zen) is a NoSQL and SQL (fully ANSI compliant) embedded database that runs on Windows, Linux, Android, iOS, macOS, in VMs and Containers with AES 256-bit encryption. Version footprints range from 5MB (client only) to 50 MB (embedded client-…
HEAVY.AI provides advanced analytics to enable businesses and the government to visualize high-value opportunities and risks hidden in their big location and time data. HEAVY.AI supports high-impact decisions in timelines by harnessing the massive parallelism of modern GPU and CPU…
SAP® MaxDB (formerly SAP DB) is a database management system developed and supported by SAP SE. SAP MaxDB is available on Microsoft Windows, Linux and Unix, and for the most prominent hardware platforms.
Baserow is an open-source no-code database platform that helps businesses manage data. It is used to create custom database applications without any coding skills, and supports real-time collaboration, workflow automation, streamlined data management and data-driven decisions. Key…
Imply Enterprise, from Imply Data headquartered in Burlingame, is a real-time database for modern analytics applications, built from Apache Druid. It is available as software or as an Imply-assisted offering. Imply Polaris is also a real-time database for modern analytics applications,…
VoltDB is an in-memory, scale-out NewSQL relational database from the company of the same name headquartered in Bedford, Massachusetts.
DuckDB is a free and open-source, in-process SQL OLAP database management system designed to support analytical query workloads. DuckDB contains a columnar-vectorized query execution engine, where queries are still interpreted, but a large batch of values (a “vector”) are processed…
BlazingSQL (formerly BlazingDB) is an Open-Source solution for SQL in Python. BlazingSQL provides a high-performance distributed SQL engine in Python. Built on the RAPIDS GPU data science ecosystem, ETL massive datasets on GPUs. BlazingSQL lets users ETL raw data directly into GPU…
Trino (formerly known as Presto SQL) is an open-source distributed SQL query engine for big data analytics that helps to explore a data universe. Trino is presented as a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics.…
Timescale headquartered in New York provides their eponymous time series database TimescaleDB in community and enterprise editions.
SQL Query is a stateless service for using standard SQL to analyze data in Cloud Object Storage.
Amazon RDS on VMware allows users to deploy Amazon RDS managed databases in on-premises VMware environments.
CockroachDB is a distributed SQL database from Cockroach Labs in New York. It is designed to give users resilient, horizontal scale across multiple clouds with always-on availability and data partitioned by location. CockroachDB scales horizontally without reconfiguration or need…
RisingWave is an open-source distributed SQL database for stream processing. It is designed to reduce the complexity and cost of building real-time applications. RisingWave offers users a PostgreSQL-like experience specifically tailored for distributed stream processing.
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Learn More About Relational Databases
What is Relational Database Software?
A relational database stores and manages data by using a structured query language (SQL). The data is placed in a traditional table format containing rows and columns. Columns identify each piece of data by unique characteristics such as name, order number, or image of a product logo. Rows identify the relationships between the data points. Relational databases are used by businesses that want to store data and ensure access to customer information. Users are able to edit, return, or delete customer information as needed.
The main difference between relational and non-relational databases is the use of SQL. A relational database’s use of SQL assumes a defined structure or rows and columns. Non-relational databases use different storage models, are more scalable, and have a lower level of data integrity.
Relational Databases Features
Relational databases contain the following features and capabilities:
- ACID (Atomicity, Consistency, Isolation, Durability) compliance ensures database transactions are processed reliably
- Referential integrity ensures that relationships between tables remain consistent
- Fine-grained locking or synchronization mechanisms for managing simultaneous access of the same data by multiple users
- Support for Unicode for multilingual capability
- Ability to run database seamlessly on multiple platforms
- Ability to recover data in the event of a failure
Relational Databases Comparison
Before purchasing a relational database, consider the following:
- Integration: Some relational databases do not integrate smoothly with non-SAP applications. Make sure the integration capabilities meet the needs of your business.
- Extra costs: Relational databases may require extra hardware costs. When budgeting, you should account for devices and fees.
Pricing Information
There are many open source relational databases, and they are great choices for businesses that don’t have significant support needs. Enterprise relational databases, such as Oracle, start at about $45,000 for a single license for two processing cores.