#oceanbase

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Free Online Database Creators

If your business involves managing extensive information such as surveys, registrations, and customer order forms, leveraging a free online database creator can alleviate the challenges of maintaining organization and accessibility.

Numerous user-friendly options are available, eliminating the need to engage a programmer to oversee your database needs. Moreover, these database tools come at no cost. create your database online free.

Here are five top-notch options worth exploring.

Ragic Ragic serves as an online database builder that resembles a spreadsheet. Those well-versed in Excel have a head start over newcomers. Despite the restrictions of the free account, which includes a 10 GB storage limit and 100 daily emails, reasonably priced upgrades are accessible. Additionally, Ragic offers mobile apps for both iOS and Android to facilitate work on the go, as well as a supportive user community for advice and assistance.

Obvibase Are you familiar with creating spreadsheets? If so, you'll find using Obvibase a breeze. With its user-friendly interface, Obvibase provides check boxes, multiple-choice drop-down options, default values, tables nested in cells, and various other form-building components. You can also attach files to database records, and collaborate with others in real-time. Additionally, Obvibase is free for individual use.

Sodadb (Simple Online Database) Sodadb is known for its innovative approach to online database management, focusing on simplifying the process to its core essentials. With Sodadb, you have the ability to easily edit up to 10,000 records using in-line editing, upload files to associate with records, effortlessly share your database, and customize it according to your specific requirements. For additional security, all data is transmitted via SSL. Best of all, Sodadb is completely free, with no need for signups or logins.

Grubba Grubba is a no-cost online database solution suitable for both novice and experienced users. You can leverage pre-designed templates or craft a customized database to align with your unique requirements. Grubba supports multiple users and ensures data security through SSL encryption. This service operates on a donationware model—you have the option to contribute based on your satisfaction, although it is not obligatory.

Wufoo Wufoo enjoys widespread popularity as a form creator, enabling users to gather data, registrations, and payments in real-time. Its user-friendly database creator facilitates the swift development of tailored forms for website integration. The platform supports email or text notifications for immediate updates on incoming data and offers real-time reporting capabilities. It's accessible for anyone with the option of using it for free with the first five forms containing up to 100 entries each, and the flexibility to upgrade for additional features at any time.

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Open Source Database Software for Your Next Project

Data and databases play a crucial role in modern projects. Check out these fantastic open source options for your next ambitious project.

While the database landscape has long been dominated by heavyweights like Oracle and SQL Server, there is now a wide array of solutions available. This is due in part to the innovative drive of open source development, with talented developers creating solutions to meet their own needs and share with others.

Additionally, new business models have come into play, where companies offer a community version of their product to gain popularity and engagement, while also providing commercial add-on features for those who need extra capabilities.

The sheer number of databases available today is overwhelming, with an estimated over a hundred options encompassing a wide range of technologies, from stack-specific object databases to less-known university projects.

I empathize with the stress of navigating through this myriad of choices and the extensive documentation that accompanies them, especially considering the limited time we have in life.

That’s precisely why I've chosen to craft this article, aimed at introducing readers to top-tier open source distributed database that can enhance their solutions, whether for personal or professional use.

PostgreSQL If you have a background in PHP (WordPress, Magento, Drupal, etc.), you might not be familiar with PostgreSQL. Nevertheless, this relational database software has been in existence since 1997 and is highly regarded in communities such as Ruby, Python, and Go.

Many developers transition to PostgreSQL due to its features and stability. It’s challenging to fully convey the value of PostgreSQL in a brief write-up, but it can be regarded as a meticulously designed product that consistently performs reliably.

Multiple excellent SQL clients are accessible for connecting to the PostgreSQL database for administrative and developmental purposes.

Unique Features

PostgreSQL has several fascinating features as compared to other relational databases (specifically, MySQL), such as:

Built-in data types for Array, Range, UUID, Geolocation, etc. Native support for document storage (JSON-style), XML, and key-value storage (Hstore) Synchronous and asynchronous replication Scriptable in PL, Perl, Python, and more Full-text search

2 MariaDB

MariaDB was developed as a substitute for MySQL by the same individual who created MySQL.

But here's the interesting part—after Oracle took over MySQL in 2010 by acquiring Sun Microsystems (which is also how Oracle gained control of Java), the creator of MySQL started a new open source project called MariaDB.

You might wonder why all these details are important. Well, MariaDB was built from the same code base as MySQL (in the open-source realm, this is called "forking" an existing project). This means that MariaDB is positioned as a seamless replacement for MySQL.

In other words, if you're using MySQL and want to transfer to MariaDB, the process is remarkably simple.

Unfortunately, this transition is strictly one-way. Reverting from MariaDB to MySQL isn't feasible, and any attempts to do so could result in permanent database corruption.

Unique features Although MariaDB shares its origins with MySQL, it has gradually evolved into a distinct database platform. At present, making the switch to MariaDB requires careful consideration on your part. Nevertheless, the latest developments in MariaDB offer compelling reasons to consider this transition. Truly free and open: Since there’s no single corporate entity controlling MariaDB, you can be free of sudden predatory licensing and other worries. Several more options of storage engines for specialized needs: for instance, the Spider engine for distributed transactions; ColumnStore for massive data warehousing; the ColumnStore engine for parallel, distributed storage; and many, many more. Speed improvements over MySQL, especially due to the Aria storage engine for complex queries. Dynamic columns for different rows in a table. Better replication capabilities (for example, multi-source replication) Several JSON functions Virtual columns

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How to choose open source database

Your company has tasked you with choosing the best open source database technologies in line with its directive to embrace open source solutions. Whether you're a seasoned open source technology expert or a newcomer, this responsibility can feel daunting and overwhelming.

In recent years, the adoption of open source technology in enterprise settings has been on the rise. However, this popularity has led to a crowded marketplace, with many open source software companies making bold promises about the capabilities and universality of their solutions. It's important to approach these claims with caution. Selecting the appropriate open source technology, particularly when it comes to databases, is a crucial and challenging decision that requires careful consideration.

There are many important factors to consider; hopefully, this article will shine a light on a few.

Have a goal. Though it may appear straightforward, through numerous discussions with individuals navigating MySQL, MongoDB, or PostgreSQL, it has emerged as a top priority.

To avoid feeling overwhelmed by the endless array of open source database software options in the market, set a clear goal. Your objective may be to supply your internal developers with a standardized, open source database backend managed by your internal database team. Alternatively, it could be to completely replace the functionality of a legacy application and database backend with new open source technology.

Once you have established a goal, you can concentrate your efforts. This will facilitate better discussions internally and externally with open source database software vendors and proponents.

Understand your workload. Despite the increasing versatility of database technologies, each excels in specific areas. For example, MongoDB now offers transactional capabilities, while MySQL has incorporated JSON storage. A growing trend in open source databases is the practice of presenting checkboxes claiming various features are available.

One of the most common mistakes is failing to use the appropriate tool for a specific task. This misstep may result from factors such as an overly enthusiastic developer or a manager with a narrow focus. The consequence is that the wrong tool may function adequately for smaller transaction volumes and data, but eventually, bottlenecks will necessitate the use of a different tool.

If you require a data analytics warehouse, an open source relational database may not be the most suitable choice. Similarly, if you need a transaction-processing application with strict data integrity and consistency, NoSQL options may not be the best fit.

Don't reinvent the wheel. Open source database technologies have experienced rapid growth, expansion, and refinement over the past few decades. The evolution has shifted from novel, possibly not fully developed databases to reliable, enterprise-quality database backends. Choosing open source database technologies no longer requires being on the bleeding edge as these communities have developed to provide support and tools for an increasing number of startups, midsize businesses, and Fortune 500 companies.

Battery Ventures, a technology-focused investment firm, has recently introduced its BOSS Index to track the most popular open source projects. While not flawless, it offers valuable insights into the most widely adopted and active open source projects, notably with database technologies comprising five of the top 10 technologies. This index is a valuable resource for newcomers to the open source database space, and vendors often have suitable architectures ready to address specific challenges.

The likelihood is that someone has already attempted the task you are undertaking. It is beneficial to draw insights from their accomplishments and setbacks. Even if a solution isn't an exact match, it can often be adjusted to meet your requirements. For instance, Amazon offers a CloudFormation script for deploying MongoDB in its EC2 environment.

It's important to note that being an early adopter at the forefront of new technologies doesn't mean you can't explore further. If you encounter a distinct challenge or workload that aligns with a new open source database technology, it's worth pursuing. However, it's essential to remember that there are inherent risks (and rewards!) associated with being an early adopter.

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Ant Financial Sets Up New Unit for OceanBase Database

Ant Technology Group Co., Ltd, or Ant Group for short, is a Chinese Internet financial services company. Ant Group started from the online shopping website Taobao third-party payment platform "Alipay".

In 2014, Alibaba Group spun off its payment and finance business, and formally established the independent Zhejiang Ant Small and Micro Financial Services Group Co. Because its business involves gold flow big data as well as a variety of small financial services, the government considers it risky and important value, and began a heavy-handed approach to rectification at the end of 2020, although the company was still valued at $150 billion as of 2021, making Ant Gold the second largest unicorn company in the world.2023 Officials said that the rectification was basically over, and that with the savage development of the online credit industry due to the The total amount of fines for withholding information, monopolistic behavior and other matters is nearly 10 billion yuan, while the Ant Group accounted for about 7 billion, and in the future and with a host of online companies to be included in the operation under the financial rules.

Ant Financial Services Group, the fintech affiliate of Chinese e-commerce giant Alibaba Group Holding, intends to establish a new wholly owned subsidiary to house its self-developed database product, OceanBase.

According to Beijing Youth Daily, Ant Financial will commence the operation of this product through Beijing OceanBase Technology. The new company will be led by Ant Chief Executive Simon Hu.

In 2010, ant financial oceanbase was developed as a leading database that supports various businesses, such as Ant's financial services app, Alipay, and Zhejiang E-commerce Bank. In addition to Alibaba utilizing OceanBase for its Double 11 shopping events, the product has applications in the transport and aerospace sectors.

The decision to establish a separate entity reflects the maturation of the business model and its increasing importance within Ant Financial. The new firm is set to introduce a significant software upgrade this year and aims to cater to over 10,000 corporate clients worldwide within the next three years.

According to the report, Ant Financial views technology as a crucial strategic direction. Having developed OceanBase over a decade, the product has overcome numerous challenges, and Ant aims to extend its reach to more partners.

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Introduction of Alibaba OceanBase

"On May 20, 2021, good news came from TPC (Transaction Processing Performance Council), an authoritative organization in the field of international databases, that OceanBase, a self-developed database product of Alibaba Company, broke the total performance score of 15,260,000 QphH with With a total performance score of 15.26 million QphH, OceanBase, a database product developed by Alibaba, broke the historical record of TPC-H 30,000GB and got the world No. 1 in OLAP (Online Analytical Processing). in 2019 and 2020, OceanBase has topped the world's OLTP (Online Transaction Processing) TPC-C benchmark performance test for two times. This means alibaba oceanbase has become the only Chinese self-developed database in the database field that got the first place in international technical reviews in both transaction processing and data analysis."

On April 16, 2018, then U.S. Commerce Secretary Ross ordered a ban on U.S. companies exporting telecom parts and components to Chinese telecom equipment maker ZTE. For a while, the telecom equipment manufacturing giant, which was preparing for the 5G market, was caught by the neck, and from product development to equipment production, the company almost came to a standstill.

Three days later, Science and Technology Daily launched a column on the front page titled "Core Technologies to be Tackled" to systematically analyze the shortcomings of key core technologies in China, which aroused a great response from the whole country, especially from the scientific and technological circles. "The column successively listed 35 "critical" technologies, and the commercial database management system (DBMS), i.e., database technology, was among them.

Along with the rapid growth of Ali's newly established Taobao business, Ali's investment in database research and development began to accelerate. In order to respond to the rapid growth of business needs, Taobao even enabled the largest Oracle RAC cluster in Asia. However, performance bottlenecks and cost pressures still make the database system has become a Taobao business development difficulties.

Similar to other Internet companies of the same generation, Ali's road to developing its own database system began with the construction of a self-developed database platform based on an open source database system. Under the open source database project MySQL, Ali's technical team built a branch called AliSQL, investing R&D efforts to continuously optimize system performance and implement new features.At the 2016 Yunqi Conference, AliCloud announced that AliSQL was open source, and compared to the community version of MySQL, AliSQL has a 70% performance improvement, and in the case of supporting the second kill scenario, the performance is even a hundred-fold Improvement.

With the development of the Internet, especially mobile Internet technology, IT technology has entered the era of big data. Database technology has also developed from centralized platform to distributed technology. With the rapid arrival of the cloud era, the distributed database technology relying on cloud native technology has brought a new technological revolution in the development of database technology. Cloud-native decoupled pooling of system resources and support for distributed horizontal scalability of resources, while the cloud-native database by separating storage and computation, to achieve the computing elasticity of traditional databases can not reach, as well as system resilience. In particular, cloud-native technology realizes the integration of database computation and analysis, which solves the shortcomings of traditional databases to do OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) which need to use two different sets of technical solutions and consume a large amount of resources to do data migration in the two systems.

In 2010, in the same year when the open source distributed computing framework Spark project was announced, Ali established the OceanBase project team, with the goal of becoming the leader of cloud-native distributed database.

The commercialization of OceanBase has taken one step at a time. in 2014, OceanBase supported the peak of Double 11 that year, achieving zero breakthroughs in core business transaction scenarios. in 2017, OceanBase stepped out of Alibaba for the first time, and Bank of Nanjing became the first external customer. Today, OceanBase has been applied in many organizations to help enterprises realize digital transformation. As the good news from TPC at the beginning of this article, OceanBase has been continuously recognized by domestic and foreign peers in the industry.

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Important aspects of Relational Database

A relational database is a collection of data items that have predefined relationships between them. These items are organized into a set of tables with columns and rows. The table is used to hold information about the objects to be represented in the database. Each column in the table holds a specific type of data, and the field stores the actual value of the property. The rows in the table represent a collection of related values for an object or entity. Each row in a table can be marked with a unique identifier called a primary key, and foreign keys can be used to establish associations between rows in multiple tables. This data can be accessed in many different ways without having to reorganize the database table itself.

Important aspects of Relational Database

SQL. SQL (structured query language) is the main interface for communicating with relational databases. SQL became a standard of the American National Standards Institute (ANSI) in 1986. All popular relational database engines support standard ANSI SQL, and some of them extend ANSI SQL to support features specific to that engine. SQL can be used to add, update, or delete rows of data, retrieve a subset of data from a transaction processing and analysis application, and manage all aspects of the database.

Data integrity. Data integrity refers to the overall integrity, accuracy and consistency of the data. Relational databases use a set of constraints to enforce the integrity of the data in the database. They include primary keys, foreign keys, "Not NULL" constraints, "Unique" constraints, "Default" constraints, and "Check" constraints. These integrity constraints help enforce business rules on the data in the table to ensure the accuracy and reliability of the data. In addition, most relational databases allow custom code to be embedded in triggers that are performed based on operations on the database.

Transaction processing. A database transaction is one or more SQL statements executed as a sequence of operations that make up a single logical unit of work. The transaction provides an "all or no" proposition, which means that the entire transaction must be completed as a unit and written to the database, otherwise none of the components of the transaction should be executed. In relational database terminology, transactions result in COMMIT or ROLLBACK. Each transaction is processed independently of other transactions in a coherent and reliable manner.

ACID complianc. All database transactions must comply with ACID, that is, they must be atomic, consistent, isolated, and persistent to ensure data integrity.

Atomicity requires the transaction to execute successfully as a whole, and if any part of the transaction fails, the entire transaction will be invalid. Consistency states that data written to the database as part of a transaction must comply with all defined rules and restrictions, including constraints, cascading, and triggers. Isolation is critical to achieving concurrency control, ensuring that each transaction is independent of itself. Persistence requires that all changes made to the database are permanent after the successful completion of the transaction.

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The 2 types of databases for your business

Do you need to provide you and your team with a full-featured free value-added application builder to digitize the workflow? Collaborate with unlimited users and creators at zero upfront cost. Get an online database free now, and we will provide your business with all the basic tools to design, develop, and deploy simple database-driven applications and services right out of the box.

Here is the definition of a database according to the dictionary:

Structured set of files regrouping information having certain characters in common; software allowing to constitute and manage these files.

The data contained in most common databases is usually modeled in rows and columns in a series of tables to make data processing efficient.

Thus, the data can be easily accessed, managed, modified, updated, monitored and organized. Most databases use a structured query language (SQL) to write and query data

Compared to traditional coding, oceanbase's free online database platform allows you to create database-driven applications in a very short period of time. Build searchable databases, interactive reports, dynamic charts, responsive Web forms, and so on-all without writing any code. Just point, click, and publish. It's that simple!

Traditional software development requires skilled IT personnel, lengthy requirements gathering, and manual coding. Databases and applications built with code are also difficult to learn, deploy, and maintain, making them time, cost, and resource intensive.

On the other hand, codeless database manufacturers enable business professionals to participate in rapid iterative development, even if they have no technical experience.

With oceanbase's simple database builder, you can use off-the-shelf application templates and click and drag and drop tools to build powerful cloud applications and databases 20 times faster than traditional software development.

Oceanbase provides the best free database with an intuitive code-free platform for building data-driven applications that are easy to modify and extend. Get results faster without writing code or managing the server.

The 2 types of databases for your business There are 2 different ones. Here they are:

Databases for functional data This kind of databases have for objective to store data to make a process work. For example the MySQL database for a website.

In a next part, we will advise you the best tools for your business.

Customer databases The purpose of these databases is to store the data of your prospects/customers. For example, a contact may leave you their email address, phone number, or name.

This type of database is highly sought after by businesses because it serves several purposes:

Store contacts. Assign a tag or a list per contact. Perform remarketing or retargeting.

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How to create an online database for free?

What is a database? do I need a database? Integrating the database into the business is a highly technical process that requires a great deal of planning, creation, and management. If you are working on your own project and need databases free, some organizations may have teams that specialize in managing databases, but the best option is to use database services, which allow you to build a platform for your own unique data collection. In a world dominated by big data, data storage is a major consideration for enterprises of all sizes.

Integrating a powerful and flexible database into your business will improve the quality of your data by providing a standardized way to manage and access it. Whether you are an e-commerce store, want to organize inventory, sales and marketing teams to track customer journeys, or want to build custom application solutions, a fast and secure database is a necessary tool for your business.

You can register MongoDB Atlas here and create an online database free.

To get started, you need some basic knowledge of programming concepts, such as command line or Unix shell commands, functions, variables, and Boolean operators.

Step 1: ask the right questions based on your business needs. Before you build the database, you need to make sure that you answer the main questions about how the database can best serve your business. Issues to consider include the type of data to be collected, how the data is intended to be used, who will use the data, how much growth or change is expected, and how flexible the database needs to be.

Step 2: determine the structure of the data. Now, you are likely to use unstructured data sources, but the data can have internal structural elements. They are considered "unstructured" because their information is not suitable for the table format required by relational databases. Non-relational databases, such as MongoDB, are the first choice for storing a variety of unstructured data.

You also need to collect and clean up the data you currently have. Simple as it may seem, when you first start, the last thing you want to manage is the messy data in the test environment. You can also use sample data for experiments and tests.

You also need to collect and clean up the data you currently have. Simple as it may seem, when you first start, the last thing you want to manage is the messy data in the test environment. You can also use sample data for experiments and tests.

Step 3: deploy and test. The beauty of database services is that you can create custom business tools that will help your business grow further without having to become a coding expert or extend your budget to pay for them.

With MongoDB Atlas, you can create and deploy small development environments to host data. You can choose your preferred cloud provider (AWS, Azure, or Google cloud), region (free version only), and specifications. Beginner clusters are ideal for developing proof-of-concept applications. If you are just starting to build your first database, this is also a good learning resource.

Our documentation will guide you on how to create a free tier cluster on MongoDB Atlas using the cloud provider and region of your choice. It also includes instructions on how to load our pre-prepared sample dataset to quickly explore possibilities without preparing a data cluster.

MongoDB Atlas simplifies this process, so you can use database triggers to build modern, responsive applications.