Top 24 Free and Commercial SQL and No SQL Cloud Databases
Database is an integral part of any organization. A majority of organizations have huge amounts of a structured set of data that they need to access, sort, manipulate and utilize every so often.
Companies need to keep and control vast amounts of data such as company products, clientele details, customer search and sales information and more. Customers’ data enable companies to respond to the clients based on the information they possess. The database may also help businesses offer their customers a self-service option. Companies may also need to share certain data with other business stakeholders in the supply chain such as suppliers, logistics among others to improve business efficiency.
Databases also enable medical organizations to store and manage vast amounts of medical records of their patients. Government and state organizations need to store, access and manage the details and records of their citizens such as tax records and more. Maintaining student databases in institutions of learning and colleges is also vital. To store, share, analyze, manage and manipulate data with ease, it is important to have a central database that can be accessed by all the relevant stakeholders.
What are the Best Free SQL Data Model Virtual Machine Deployment: MariaDB, PostgreSQL, MySQL are some of the Top Free SQL Data Model Virtual Machine Deployment Cloud Databases.
What are the Best Virtual Machine Deployment SQL Data Model: NuoDB, Oracle Database XE, IBM DB2, Actian X are some of the top Virtual Machine Deployment SQL Data Model Cloud Databases.
What are the Best Virtual Machine Deployment No SQL Data Model: MarkLogic, MongoDB, Apache Hadoop, Apache CouchDB, Apache Cassandra, Neo4j are some of the Top Virtual Machine Deployment No SQL Data Model Cloud Databases.
What are the Best Database as a Service SQL Data Model: ClustrixDB, IBM Db2 Warehouse, Azure SQL Database, EnterpriseDB, Heroku, Amazon Relational Database are some of the Top Database as a Service SQL Data Model Cloud Databases.
What are the Best Database as a Service NoSQL Data Model: Google App Engine, Amazon DynamoDB, IBM Cloudant, Amazon SimpleDB are some of the Top Database as a Service NoSQL Data Model Cloud Databases.
What are Cloud Databases?
Cloud database runs on a cloud computing platform and there are two common deployment models, one in which can be implemented using a virtual machine image and users can run databases on the cloud independently. The other option is to purchase access to a database service, maintained by a cloud database provider. Some of the cloud databases available on the cloud, are SQL-based and and some use a NoSQL data model.
Cloud database is defined as a platform as a service that runs on cloud computing infrastructure and enables the user to collect, store, manage, and analyze a structured or unstructured set of information.
- File versioning: File versioning feature enables the user to access the historical version of data since the platform can save multiple versions of files. The user can edit a document without worry since the platform does not overwrite the old files. The user can as well retrieve old files that have been deleted for some considerable period before they're forever wiped out.
- Automatic sync: Automatic synchronizing functionality enables the user to make updates to files and they reflect in real time. The data on the platform is thus always up-to-date and the users can also schedule permanent backups to an external drive that can happen at specified intervals.
- Security and file encryption: Cloud database tools can encrypt the data with own encryption key for security purposes. It also allows the user to protect files with a password.
- Flexible storage capacity: Cloud database platforms offer storage of different amounts of data.
- Reliable tech support: Cloud database services offer reliable administrators to fix technical problems and live text chat to help troubleshoot any platform-related issues.
- Compatibility: Cloud computing services allow users to access the data from any location and on any device that can connect to the internet.
- Collaboration tools: Collaboration features allow users to share files with other authorized users on any device and in multiple ways, including via email and direct link. It may also help keep the shared data secure and only share password to enable the folder and sub-folder the user needs.
- File editing: Cloud computing solutions allow users to view, edit and sync data files from the cloud and on any device that is connected to the internet.
- Elasticity: Cloud services are scalable since consumers can add the resources they need to use and discard resources they do not want.
- Disaster recovery: Since cloud services allow replication and data storage across multiple servers, it is easy to recover lost data.
Cloud databases is an ideal solution looking for storage for vast amounts of data that need to be accessed and manipulated by multiple users across different platforms and in different locations.
Free SQL Data Model Virtual Machine Deployment Cloud Databases
MariaDB is a powerful database server that is made from MySQL developers. MariaDB provides a platform for getting structured information from given data by use of a broad range of applications that range from websites to banking. MariaDB is simply a placement for MySQL that is enhanced. MariaDB provides a fast, robust, and scalable database server with a full grained ecosystem of plugins, storage engines, and several other database tools that enable MariaDB to be versatile for a wide range of uses cases. MariaDB provides an excellent platform for a SQL interface for data accessing as it is developed as…
PostgreSQL is a powerful open source object-relational database system. It has a strong reputation in terms of reliability, data integrity, and correctness. It runs on all major operating systems, including Linux, UNIX (AIX, BSD, HP-UX, SGI IRIX, macOS, Solaris, Tru64) and Windows. It is a development platform which allows developing in-house, web, or commercial software products that require a capable RDBMS. It is highly scalable both in the sheer quantity of data it can manage and in the number of concurrent users it can accommodate. It has a fully relational system catalog that supports multiple schemas per database. It also…
MySQL is the world’s most popular open source database. It’s the leading database choice for web-based applications. It supports SQL as its database language. It has views that relate to an SQL query that is viewed as a distinct database object and makes it possible for one to view a particular part of a database. It also has stored procedures that are simply SQL codes that are stored in the database system. These stored procedures are used to simplify certain steps like inserting or deleting a data record. It has triggers which are SQL commands that are automatically executed by…
Virtual Machine Deployment SQL Data Model Cloud Databases
NuoDB is aN always available, ACID-compliant, SQL database, which delivers on-demand capacity on commodity hardware across a myriad of data centersThis distributed database is wholly purpose-built to elastically map out across geographies without hindering the mainstream database requirements such as SQL or ACID semantics. NuoDB’s prominent new feature is its transformative quality. Its durable distributed cache (DDC) feature joins the strengths of traditional RDBMSs, rich ANSI SQL support, full ACID transactions, enterprise-class tooling for security, backup, and administration with support for elastic scalability plus a continuous availability across multiple data centers. Its other features are designed as per enterprise, operational…
Oracle Database XE
Oracle database XE is an entry-level, small-footprint database on the Oracle Database 11g Release 2 code base. It’s free to develop, deploy, and distribute, fast to download and simple to administer. With Oracle Database XE, you can now develop and deploy applications with a powerful, proven, industry-leading infrastructure, and then upgrade when necessary without costly and complex migrations.Oracle Database XE can be installed on any size host machine with any number of CPUs (one database per machine), but XE will store up to 11GB of user data, use up to 1GB of memory, and use one CPU on the host…
IBM Db2 is the database that offers enterprise-wide solutions handling high-volume workloads. It is optimized to deliver industry-leading performance while lowering costs. DB2 maintains itself very well. The Task Scheduler component of DB2 allows for statistics gathering and reorganization of indexes and tables without user interaction or without specific knowledge of cron or Windows Task Scheduler / Scheduled jobs. Its use of ASYNC, NEARSYNC, and SYNC HADR (High Availability Disaster Recovery) models gives you a range of options for maintaining a very high uptime ratio. Failover from PRIMARY to SECONDARY becomes very easy with just a single command or windowed…
Actian X is a combination of industry-leading Ingres transactional and Vector analytic databases, world class integration and a robust monitoring tool. Actian X runs business critical systems for Fortune 100 companies and government agencies and has industry leading customer satisfaction ratings. Actian X combines a record breaking analytic engine with rock solid OLTP to enable enterprise applications with both OLTP and analytic features. Actian X creates the perfect platform for adding operational analytics to an existing OLTP system. Actian X enables operational analytics on a per transaction basis. Enterprise Access allows a single application to run against multiple databases without…
Virtual Machine Deployment No SQL Data Model Cloud Databases
MongoDB is the next-generation database that lets its users create applications never before possible. It is designed for CIOs, architects, DBAs and Ops, Developers and Analysts. MongoDB stores data using a flexible document data model that is similar to JSON. Documents contain one or more fields, including arrays, binary data and sub-documents. Fields can vary from document to document. This flexibility allows development teams to evolve the data model rapidly as their application requirements change. When users need to lock down their data model, optional document validation enforces the rules they choose. MongoDB can make users heroes to the business,…
The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part called MapReduce. Hadoop splits files into large blocks and distributes them across nodes in a cluster. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. The project includes the modules Hadoop…
Apache CouchDB is a scalable, fault-tolerant, and schema-free document-oriented database. It's used in large and small organizations for a variety of applications where a traditional SQL database isn't the best solution for the problem at hand. CouchDB is a terrific single-node database that works just like any other database behind an application server of your choice. CouchDB is also a clustered database that allows user to run a single logical database server on any number of servers or VMs. A CouchDB cluster improves on the single-node setup with higher capacity and high-availability without changing any APIs. CouchDB makes use of…
Apache Cassandra is a free, open source NoSQL database designed to manage very large data sets (think petabytes) across large clusters of commodity servers. Among many distinguishing features, Cassandra excels at scaling writes as well as reads, and its "master-less" architecture makes creating and expanding clusters relatively straightforward. Cassandra's impressive hierarchy of caching mechanisms and carefully orchestrated disk I/O ensures speed and data safety. Its storage architecture is similar to a log-structured merge tree: Write operations are sent first to a persistent commit log (ensuring a durable write), then to a write-back cache called a memtable. When the memtable fills,…
Neo4j is one of the popular Graph Databases and Cypher Query Language (CQL). Neo4j is written in Java Language. Neo4j is the first and dominant mover in the graph market. The company’s goal is to bring graph technology into the mainstream by connecting the community, customers, partners and even competitors as they adopt graph best practices everywhere. Neo4j follows a data model named native property graph model. The graph contains nodes (entities) and these nodes are connected with each other (depicted by relationships). Nodes and relationships store data in key-value pairs known as properties. In Neo4j, there is no need…
Database as a Service SQL Data Model Cloud Databases
CLustrix DB is a self-management system which does all the complicated operations itself and adds servers to increase capacity, throwput and removes the chances of time delays due to failures in hardware. Clustrix DB has built in optimized tabs which categorize data into easily accessible sections and heads; an efficiently working self-management database system which saves time and effort by its self-procession; a new, browser-based user interface called ClustrixDB GUI; better durability and scaling options, efficient database flexing up and down ; a scale-out SQL which allows you to add nodes and hence serve more users; handling massive transaction volume…
IBM Db2 Warehouse
IBM DB2 Warehouse is a software-defined data warehouse for private and virtual clouds that support Docker container technology. It is client managed and optimized for fast and flexible deployment with automated scaling to meet agile analytic workloads. Fusing IBM Db2 BLU and Netezza technologies, DB2 Warehouse offers cloud elasticity combined with the simplicity of a software appliance. It is supported on variety of platforms such as Intel x86, Power and Linux on z. DB2 Warehouse can also be deployed on IBM Cloud Private platform, IBM Bluemix, or any virtual private cloud such as AWS, Microsoft Azure and more. Deploy a…
Azure SQL Database
Azure SQL Database is the intelligent, fully managed relational cloud database service that provides the broadest SQL Server engine compatibility, so users can migrate SQL Server databases without changing apps. Take advantage of built-in intelligence that learns app patterns and adapts to maximize performance, reliability, and data protection. Importing and migrating bulk data from on premises or other cloud providers to SQL Database has never been easier. Use the power of Azure to transform unstructured and semi-structured flat files, or migrate an entire database schema directly into SQL Database to produce consumable data products for analytics, reporting, or intelligent applications.…
EnterpriseDB (EDB) provides software and services based on the open-source database PostgreSQL. EDB develops and integrates performance, security, and manageability enhancements into PostgreSQL to support enterprise-class workloads for its database, EDB Postgres Advanced Server. EDB has also developed database compatibility for Oracle to facilitate the migration of workloads from Oracle to EDB Postgres and to support the operation of many Oracle workloads on EDB Postgres. EnterpriseDB integrates with enterprise technologies and infrastructures for hybrid cloud management, data integration, and data warehousing. EnterprseDB customers benefit from the most reliable, high-performing, flexible, open, and cost-effective data management platform available. EDB’s Migration Toolkit…
Heroku is a container-based cloud Platform as a Service (PaaS). Developers use Heroku to deploy, manage, and scale modern apps. Heroku is elegant, flexible, and easy to use, offering developers the simplest path to getting their apps to the market. Heroku is fully managed, giving developers the freedom to focus on their core product without the distraction of maintaining servers, hardware, or infrastructure. The Heroku experience provides services, tools, workflows, and polyglot support—all designed to enhance developer productivity. The Heroku platform provides a set of capabilities that deliver higher-order value. With Heroku, there is no need to learn about server…
Amazon Relational Database
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. Amazon RDS General Purpose Storage is an SSD-backed storage option that delivers a consistent baseline of 3 IOPS per provisioned GB and provides the ability to burst up to 3,000 IOPS. This storage type is suitable for a broad range of database workloads. Amazon RDS is available on several database instance types - optimized for memory, performance or I/O…
Database as a Service NoSQL Data Model Cloud Databases
Google App Engine
Google App Engine is a platform for building scalable web applications and mobile backends. App Engine provides you with built-in services and APIs such as NoSQL datastores, memcache, and a user authentication API, common to most applications. App Engine scales user’s application automatically in response to the amount of traffic it receives so they only pay for the resources they use. A user just needs to upload their code and Google will manage their app's availability. There are no servers for you they need to maintain.With built-in services such as load balancing, health checks, and application logging, a user can…
Amazon DynamoDB is a non-relational database that delivers reliable performance at any scale. It's a fully managed, multi-region, multi-master database that provides consistent single-digit millisecond latency, and offers built-in security, backup and restore, and in-memory caching. More than 100,000 AWS customers have chosen DynamoDB for mobile, web, gaming, ad tech, IoT, and many other applications that need low-latency data access. DynamoDB delivers consistent, single-digit millisecond responsiveness at any scale. Build apps with virtually unlimited throughput and storage. Add an in-memory cache that reduces response times from milliseconds to microseconds, without any app changes. DynamoDB is a serverless database that automatically…
IBM Cloudant is a NoSQL JSON document store that’s optimized for handling heavy workloads of concurrent reads and writes in the cloud; a workload that is typical of large, fast-growing web and mobile apps. Cloudant can be used as a fully-managed DBaaS running on IBM Cloud. Cloudant provides a seamless and cost-effective user experience online and offline, with IBM customers saving up to 95 percent in infrastructure and hosting costs. Available in all IBM Cloud regions and 55+ data centers across the world, Cloudant can easily be set up for disaster recovery between continents or scaling an app for a…
Amazon SimpleDB is a highly available NoSQL data store that offloads the work of database administration. Developers simply store and query data items via web services requests and Amazon SimpleDB does the rest. Unbound by the strict requirements of a relational database, Amazon SimpleDB is optimized to provide high availability and flexibility, with little or no administrative burden. Behind the scenes, Amazon SimpleDB creates and manages multiple geographically distributed replicas of your data automatically to enable high availability and data durability. With Amazon SimpleDB, focus on application development without worrying about infrastructure provisioning, high availability, software maintenance, schema and index…
What are Cloud Databases?
Cloud database runs on a cloud computing platform and there are two common deployment models, one in which can be implemented using a virtual machine image and users can run databases on the cloud independently.
What are the Best Database as a Service NoSQL Data Model?
Google App Engine, Amazon DynamoDB, IBM Cloudant, Amazon SimpleDB are some of the Top Database as a Service NoSQL Data Model Cloud Databases.
What are the Best Database as a Service SQL Data Model?
ClustrixDB, IBM Db2 Warehouse, Azure SQL Database, EnterpriseDB, Heroku, Amazon Relational Database are some of the Top Database as a Service SQL Data Model Cloud Databases.
What are the Best Virtual Machine Deployment No SQL Data Model?
MarkLogic, MongoDB, Apache Hadoop, Apache CouchDB, Apache Cassandra, Neo4j are some of the Top Virtual Machine Deployment No SQL Data Model Cloud Databases.
What are the Best Virtual Machine Deployment SQL Data Model?
NuoDB, Oracle Database XE, IBM DB2, Actian X are some of the top Virtual Machine Deployment SQL Data Model Cloud Databases.
What are the Best Free SQL Data Model Virtual Machine Deployment?
MariaDB, PostgreSQL, MySQL are some of the Top Free SQL Data Model Virtual Machine Deployment Cloud Databases.
The above list is pretty complete from a raw database standpoint, but doesn’t cover the rest of the platform/front end needed to actually build a database application in the cloud for typical business use. For that you need something like ParaSQL (https://www.parasql.com) or one of the older options like Caspio. These database application platforms dramatically reduce the time it takes to build real-world business applications in the cloud.
Try out AmiDb.com. It offers a layer above cassandra, elasticsearch and includes handling of file and image data. You can concentrate on your application.
I LOVE online databases. They are so useful and help a lot if you have a lot of customers or clients where you need to collect data. If you are in contact with a lot of people you can’t remember everyone at once so a database helps you stay on track of your conversations as well. I wanted to set up my own database because this article described it as a great idea . Which tool would you recommend for this?