#PostgreSQLdatabase

[govindhtech]

Deckmatch uses Cloud SQL for PostgreSQL for VC insights

Utilising  Cloud SQL for PostgreSQL, Deckmatch is able to provide venture capitalists with valuable insights.

The flow of investment deals for venture capitalists is being revolutionised by Deckmatch through the utilisation of artificial intelligence (AI) and smart analytics. Deckmatch is able to provide investors with full information on startups and their competitors in a short amount of time since it stores extensive and detailed company data in Cloud SQL for PostgreSQL.

When the human labour that is required to generate this data is eliminated, investors are freed up to concentrate on efforts that are more strategic, and they are given the ability to make confident decisions regarding investments in a timely manner.

Prior to the establishment of Deckmatch, google cloud had a crystal clear vision: they wanted to develop a leading solution that provides venture capitalists with profound insights into potential portfolio firms and the competitive contexts in which they operate, while requiring just a little amount of manual labour. In order to accomplish this,they required a database that was not only strong but also versatile, capable of managing massive amounts of data, giving us the ability to implement artificial intelligence (AI), and supporting advanced vector-based search options.

The managed PostgreSQL database option that Google Cloud provides, known as  Cloud SQL, was the obvious choice given that they have relied on PostgreSQL for a considerable amount of time for key data operations due to its high performance, flexibility, and extensive support system.

Money is being put on cloud computing architecture

A Cloud SQL database that is equipped with pgvector and interfaces with a robust range of Google Cloud services is the core component of their cloud architecture. With the help of the pgvector extension for PostgreSQL, they are able to provide their platform with the capabilities of doing a similarity search that is quick, effective, and pertinent.

From this point forward, they are able to effortlessly carry out the intricate vector operations that constitute the basis of their sophisticated embedding algorithms for competitive mapping and semantic search. On the other hand, effective embedding storage and querying capabilities are the driving force behind speedy, contextual search capabilities that swiftly reveal relevant insights.

Through the utilisation of FastAPI, they developed a high-performance REST API in order to provide their customers with direct access to the Deckmatch platform through an intuitive user experience. In addition, they host the complete application on Google Kubernetes Engine (GKE), which provides us with a platform that is scalable, dependable, and secure for the deployment of their respective service.

Finally, the natural integration between Cloud SQL, GKE, and Vertex AI enables us to provide investors who are looking for in-depth startup knowledge with an experience that is both robust and responsive. In addition to allowing search accuracy and advanced analytics, Vertex AI helps customers stay up with the intricacies of the market by reducing the resources that are required by traditional search methods during the search process.

Cloud SQL offers a wealth of benefits

Through the utilisation of the possibilities made available by Cloud SQL, google cloud customers have reaped significant benefits. Through the use of Deckmatch‘s competitor landscape mapping service, venture capitalists are able to acquire the essential information they require in a short amount of time in order to comprehend the competitive climate and strategically position themselves. In addition, the semantic search capabilities that are offered by  Cloud SQL’s pgvector support make it possible to conduct sophisticated searches for businesses based on a variety of parameters and obtain results that are accurate and aware of the context.

As a fully managed PostgreSQL service, Cloud SQL eliminates operational overhead such as backups and updates, which frees up their small staff to concentrate on building core application features. This is the most significant benefit that Cloud SQL brings to their organisation. In addition to significantly improving the developer experience by providing streamlined provisioning and management tools, Cloud SQL’s user-friendly interface and seamless connection with other Google Cloud products make the process of setting up and managing continuing operations quite uncomplicated. On top of that, Cloud SQL expands in tandem with their application, which enables us to scale database resources in a flexible manner on demand.

In the future, their seed cash will be provided by Google Cloud

Their objective is to make Deckmatch the resource of choice for obtaining thorough information about firms that are in the pre-seed and seed stages of development. While they continue to develop their application, google cloud will continue to rely on the environment that Google Cloud provides in order to make it the most efficient and user-friendly resource available on the market.

Google  Cloud’s knowledge and resources have proven to be extremely beneficial to their company as they have expanded and will continue to develop. As a result of their participation in the artificial intelligence startup programme that is comprised of the Google for Startups Cloud Programme, they were awarded substantial credits that enabled us to greatly offset the initial expenditures of their infrastructure.

Because of this, google cloud were able to free up vital cash, which allowed us to make more substantial investments in development and to speed up their growth. Google Cloud has been an invaluable resource for us throughout their journey, providing us with a wealth of documentation resources and experienced technical assistance that has assisted us in optimising their cloud architecture.

Google cloud are confident that their strong vision, in conjunction with the technical capabilities and assistance offered by Google Cloud, has provided us with credibility within the startup ecosystem and given us the foundation for success.

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[phptutspoints]

PostgreSQL : Essential Guide to Getting Started with this Game-Changing Database"

PostgreSQL : Essential Guide to Getting Started with this Game-Changing Database" PostgreSQL is a powerful, open-source object-relational database system that uses and extends the SQL language combined with many features. #postgresql #postgresqldatabase #relationaldatabase #postgresqltutorial #postgresqldevelopment #php #phptutorial #phptutorialpoints #webdevelopment #webdevelopmenttutorial

Practical and dependable data management has never been more important in today’s data-driven world. PostgreSQL, which is also known as “Postgres,” is a premier open-source relational database management system (RDBMS) that has grown in popularity among developers, businesses, and the open-source community. We will look at PostgreSQL’s primary features, benefits, and use cases, as well as why it…

[govindhtech]

AlloyDB Beats Self-Managed PostgreSQL Database in the Cloud

AlloyDB for PostgreSQL Database

With its powerful, dependable, and scalable database solutions, PostgreSQL database is an open-source, relational database management system that is highly developed. It includes many features that guarantee data integrity and business continuity, including as performance, availability, and security. PostgreSQL database is a flexible and affordable alternative to proprietary database systems, which makes it the perfect choice for businesses looking for a flexible database foundation for their vital applications. Its broad extensibility and active community support further contribute to its appeal.

Meanwhile, AlloyDB for PostgreSQL is a fully managed, enterprise-grade database service from Google Cloud that keeps complete compatibility with the normal PostgreSQL database engine while adding a number of enhancements: With its higher performance, high availability, and scalability, AlloyDB surpasses ordinary PostgreSQL database to handle even the most demanding workloads. Additionally, AlloyDB uses machine learning and Google’s unique infrastructure to provide intelligent resource optimisation, automated database management, and faster analytical queries. This makes AlloyDB a desirable option for businesses in need of a robust and efficient PostgreSQL-compatible solution. Which then ought should you select?

Google Cloud demonstrated AlloyDB at Google Cloud Next 24, offering up to 4x greater transactional performance on the same-sized instance and up to 2x better price-performance than self-managed PostgreSQL. This article delves further into the information underlying that comparison and highlights other benefits that AlloyDB provides.

Contrasting performance With AlloyDB, Google Cloud introduced self-managing autopilot capabilities like adaptive vacuum management and automated memory management, as well as transactional and query processing layers to PostgreSQL’s kernel. AlloyDB outperforms regular PostgreSQL when combined with its automatic storage tiering and intelligent distributed storage solution.

A performance comparison test was conducted by Google Cloud to compare the cost-effectiveness of AlloyDB to self-managed PostgreSQL operating on Google Compute Engine (GCE), taking into account both cost per transaction and total cost of ownership (TCO). Google Cloud evaluated self-managed PostgreSQL 15 operating on two VMs prepared for HA, each with 16 vCPU / 128GB Memory, against AlloyDB for PostgreSQL database configured with HA on 8 vCPU / 64 GB Memory:

Even with only 50% of its computing resources set up for self-management, AlloyDB demonstrated superior TPM. When databases are set up to cache 30% of the data, price-performance and performance can be up to two times higher than when using self-managed typical PostgreSQL database workloads. The fact that AlloyDB’s CPU utilisation was almost 90% indicates that the kernel is making far better use of the resources at its disposal.

Google Cloud saw a 4x improvement in speed when AlloyDB was deployed with the same GCE SKU (16 vCPU/128GB). Better price-performance is achieved with a higher vCPU count thanks to AlloyDB’s scalability architecture. Up to 128 virtual CPUs, or 864GB of RAM, are currently supported by AlloyDB.

Large-scale data handling with standard PostgreSQL database on Compute Engine is hampered by resource limits such CPU scaling problems and IOPS restrictions. Be aware that the manual resources needed for the database to self-manage are not included in this analysis, nor are there any additional fees associated with inter-zone networking that may raise overall expenses.

Further financial savings The same local colossus storage is used by AlloyDB compute instances in a cluster. This means that all replica nodes up to 20 at the time this blog was published that are added when you deploy HA share the same storage. In a self-managed environment, for instance, if you have a 5TB database with HA and 4 read replicas, your storage costs will be 6x the capacity (one primary, one standby, and 4 read nodes). You will only need to pay for one 5TB expense when using AlloyDB.

Furthermore, it is not necessary to pre-provision AlloyDB’s storage capacity and set up additional space for IOPS. The cloud-scale architecture of AlloyDB allows for dynamic storage consumption that grows and contracts in response to demand. Just the capacity that you utilise is charged for.

AlloyDB cross-zone data replication for replica and high availability is free of charge. You can extend horizontally with the same storage and with data that is almost real-time, with read replica lag as low as 25x.

Additionally, you can use AlloyDB as a single datastore for workloads related to transactional, analytical, and vector databases. Multiple databases are not required for these uses, which eliminates the need for extra computing, storage, networking, and ETL deployment and management.

While managing PostgreSQL databases on your own infrastructure can save money, there are a number of drawbacks and additional expenses. These involve managing hardware resources continuously, scheduling capacity for peak workloads, and manually handling crucial database operations including scaling, deployment, security, high availability, backups, and disaster recovery. Your staff may get overworked as a result, and administrative expenses may increase.

In order to help you run your mission-critical applications with a 99.99% uptime SLA, including maintenance, AlloyDB offers a fully managed experience that satisfies these standards.

The winner is AlloyDB

With shared regional storage and up to a twofold price-performance gain, AlloyDB outperforms self-managed PostgreSQL database in terms of cost savings. Furthermore, AlloyDB greatly reduces the difficulties that come with self-managed databases by automating repetitive administrative tasks, providing minimal maintenance downtime, on-demand vertical (read/write) and horizontal (read-only) scalability, and incorporating columnar engine & AI capabilities. AlloyDB offers self-managed PostgreSQL setups a better, faster, and more affordable option with these capabilities and advantages.

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