Astra DB from DataStax is a vector database for developers that need to get accurate Generative AI applications into production, fast.
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MySQL
Score 8.0 out of 10
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MySQL is a popular open-source relational and embedded database, now owned by Oracle.
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Pricing
Astra DB
MySQL
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Astra DB
MySQL
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Community Pulse
Astra DB
MySQL
Considered Both Products
Astra DB
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Anonymous
Chose Astra DB
We also (briefly) considered building in-house. We wanted to avoid complex "Frankenstein" architectures. Combining Pinecone with another NoSQL datastore like DynamoDB would have increased complexity. A single-managed platform (Astra DB) enabled architectural simplicity and …
We selected Astra for reducing complexity of our operations, local support, scalability, reliability, and business continuity/contingency planning reasons. We're a small team so prefer a database-as-a-solution model.
Astra DB allowed us running a database without going deep into the configuration hell. It scales with our usage and therefore, there was no need to learn the sepcialities of a vector database.
For the workloads we use Astra DB for it was a better choice than the other databases. It worked out to be more scalable and cost affective than the traditional relational databases. Also performant and without the downsides of size limits compared to other services.
I never tried Pinecone with a production workload, but I can say that the enterprise support and care of DataStax is game changer. They really put effort in creating with you a valid and effective solution for your business.
Astra DB is at par with each one of them as it's scalability and availability is unmatched. The best thing about Astra DB is it's managed service takes care of database operations, freeing up development teams to work on application features. With its scalable architecture and …
Astra DB is a managed database service based on Apache Cassandra that is mostly used for NoSQL data storage and administration, whereas Azure is a full cloud computing platform provided by Microsoft that includes infrastructure, platform, and software services. Astra DB is …
Astra DB, which is built on Apache Cassandra, is well-known for its smooth horizontal scalability, making it an ideal solution for applications with quickly rising data and traffic. Although MongoDB Atlas provides high availability, Astra DB's multi-region capability can …
Since I was familiar with CQL, choosing Astra DB was the only smart choice for me. It is equally capable as all the other cloud-based fully managed database services currently out in the market. It provides very good documentation also for people who are new to it, making it …
Astra DB supports Cassandra which is very important and of key notice. We work on Cassandra , thus we need Astra DB. Astra DB has high availability and scalability. The customer service provided by Astra DB is really helpful and the response is always available. Astra DB has …
Astra DB supports apache cassandra which in itself is a plus point. It's primary database model has a wide column store. Deployment of Astra Db takes minutes in AWS, Google Cloud, Azure. Also it is schema free. It also has advanced replication for edge computing. In other …
The tools astra db provides are much more effective and efficient, especially the integration allowed within astra db. One can customize the choice of tools as per their requirements.
Astra DB has a better database system than Mongo DB and that why me and my team prefers using Astra DB over all the database tools available. The Apache Cassandra database is what attracts the user to Astra DB rather than other databases. Wide Column storing database is what we …
Astra in the general case ends up coming in cheaper than it costs to run your own VMs on a VPS to self-host either cassandra or scylla. How they do that, I don't know, but I'm glad they do!
Some advantages of Cassandra by itself over the other solutions is being masterless and column oriented. About Astra DB, for us the decision-making factor was having a serverless solution and with the latest Cassandra version and features, additionally it provides a rich set …
I have previously used and evaluated MongoDB and MySQL for various projects before choosing AstraDB for my chatbot application. While MongoDB and MySQL are both powerful and popular database solutions, AstraDB stood out for specific reasons in the context of my project.MongoDB, …
Graph, search, analytics, administration, developer tooling, and monitoring are all incorporated into a single platform by Astra DB. Mongo Db is a self-managed infrastructure. Astra DB has Wide column store and Mongo DB has Document store. The best thing is that Astra DB …
Each of the products has its own merits and demerits. however since MySQL is a very good documentation and global community its easy to learn and apply in different stages for analytics work. compare to other data bases its simple for setup and work on it. MySQL is cost …
Rest all the big brand databases incure high licensing cost giving almost the same value that MySQL is giving being an open source database. Other databases like Oracle, MS SQL servers need extensive resource along with a huge team to manage those databases. However, thats not …
Selection of MySQL or Oracle SQL developer depends on various factors like timelines, requirements, features and data volumes. We are using both MySQL and Oracle SQL developer in our organization. MySQL is more suited for small applications with few thousand TPS and less users. …
We chose MySQL because of its open-source nature and its compatibility with various systems, languages, and databases. It is easy to use and fast. Additionally, it has been in the market for more than 30 years now which makes it a reliable option when compared to its …
Our original implementation of MySQL was to replace an Access database that had unfortunately been able to grow beyond its abilities and scope. MySQL seemed to offer all the benefits of Access (easy to set up, use and administer) with none of the downsides (reliability, …
As I have been commenting in our company, we have solved our performance problems and responses obtaining speed in the queries occupies less disk space, in addition to its price and all the tools of great Scope it possesses.
The primary reason we use MySQL instead of MongoDB is because we are in a large, legacy enterprise environment. MySQL works well and has all the necessary integrations with the various other software tools in our company's suite. Additionally, MySQL is a relational database …
It was quite challenging to choose between these as they both have their pros and cons. But as far as we were concerned the decision to adopt the MYSQL database for our production was because it is an open-source language. This makes it very compatible with our needs and was …
MongoDB has a dynamic schema for how data is stored in 'documents' whereas MySQL is more structured with tables, columns, and rows. MongoDB was built for high availability whereas MySQL can be a challenge when it comes to replication of the data and making everything redundant …
MySQL works properly, it gives us the most efficient data and the organization of the data yields an unsurpassed result in performance. And in the same way, in our case as a company, we have users from different offices that are in the same line of work since they can share and …
Microsoft SQL and SQLite i have used for different scenarios. SQLite is very small database which is more easy to work with low profile devices like mobiles. MySQL is not suitable for that level and MSSQL mainly comparable with MYSQL. MSSQL has complex installations and …
So the main reason i would stack up Mysql from rest of the others is that it is open source which can be helpful for doing any POC on the products and learning new technologies and it is also compatible with all other softwares like Microsoft SQL serve and Postgre Sql
Having used both PostgreSQL and Microsoft SQL Server, I can tell that MySQL performs admirably in a Linux setting. When compared to Microsoft SQL Server, the extra benefit is the minimal or nonexistent licence fee. We find that MySQL's programming interface is particularly …
Higher levels of security and can handle multiple connections simultaneously which is required for our clients work. It also supports XML format which we've had issues with SQLite handling - doesn't appear to support it.
SQLITE - Is the goto DB for Mobile/Desktop Apps. Its not as elaborate as Mysql but since its a RDBMS it provides all the basic features and its lite. We use mysql at the backend and for desktop app we use sqlite
Postgres - Its a formidable opponent. It is fast and reliable and …
I would say that in a Linux environment MySQL works great compared to both PostgreSQL and MS SQL. The added benefit compared to MS SQL is the low or absent licensing cost. As we use it mainly from PHP the programming interface is great for MySQL. PostgreSQL has many of the …
MySQL is relatively easier to use and than PostgreSQL or SQL Server; it's also cheap to use in production compared to SQL Server. For a beginner who wants to ship something quickly, MySQL is really suited for it.
Before MySQL, our team was exploring and evaluating different options for a good RDMS (relational database management system) service. We explored Oracle, MSSQL, and Google BigQuery. Most of these are costly and not easy to maintain in the long run in terms of price especially …
MySQL is the best platform and it has the ability to even automate time-consuming tasks
with a fully managed database service that has enhanced productivity. This
tool keeps me up to date about any new features and through instant provisioning it is providing me fast delivery …
We use Astra DB to improve our management systems. Storing data has become hassle-free and quite simple. When launching a Cassandra-based cloud application, Astra DB is exactly what you need. In addition to the standard training programs and videos, the extended support and training require significant additional effort to activate and cover which I feel is a bit more tedious task.
From my own perspective and the tasks that I perform on a daily basis, MySQL is perfect. It has a reasonable footprint, is fast enough and offers the security and flexibility I need. Everyone has their preferred applications and, no doubt, for larger data warehouses or more intensive applications, MySQL may have its limits, but for the area that I operate in, it's a great match.
We need to be able to process a lot of data (our biggest clients process hundreds of milions of transactions every month). However, it is not only the amount of data, it is also an unpredictable patterns with spikes occuring at different points of time - something athat Astra is great at.
Our processing needs to be extremaly fast. Some of our clients use our enrichment in a synchronous way, meaning that any delay in processing is holding up the whole transaction lifecycle and can have a major impact on the client. Astra is very fast.
A close collaboration with GCP makes our life very easy. All of our technology sits in Google Cloud, so having Astra in there makes it a no-brainer solution for us.
Security: is embedded at each level in MySQL. Authentication mechanisms are in place for configuring user access and even service account access to applications. MySQL is secure enough under the hood to store your sensitive information. Also, additional plugins are available that sit on top of MySQL for even tighter security.
Widely adopted: MySQL is used across the industry and is trusted the most. Therefore, if you face any problems, simply Google it and you shall land in plenty of forums. This is a great relief as when you are in a need of help, you can find it right in your browser.
Lightweight application: MySQL is not a heavy application. However, the data you store in the database can get heavy with time, but as in the configuration and MySql application files, those are not very heavy and can easily be installed on legacy systems as well.
Astra DB might be difficult to understand for people who are unfamiliar with Apache Cassandra. Improving the initial experience for newcomers, as well as offering better documentation and lessons, might be advantageous.
The Astra DB ecosystem may be enhanced by expanding the ecosystem of plugins, integrations, and community-contributed solutions.
Although you can add the data you require as more and more data is added, the fixity of it becomes more critical.
As the demand, size, and use of the system increase, you may also need to change or acquire more equipment on your servers, although this is an internal inconvenience for the company.
For teaching Databases and SQL, I would definitely continue to use MySQL. It provides a good, solid foundation to learn about databases. Also to learn about the SQL language and how it works with the creation, insertion, deletion, updating, and manipulation of data, tables, and databases. This SQL language is a foundation and can be used to learn many other database related concepts.
I give MySQL a 9/10 overall because I really like it but I feel like there are a lot of tech people who would hate it if I gave it a 10/10. I've never had any problems with it or reached any of its limitations but I know a few people who have so I can't give it a 10/10 based on those complaints.
Their response time is fast, in case you do not contact them during business hours, they give a very good follow-up to your case. They also facilitate video calls if necessary for debugging.
The support staff is friendly, knowledgeable, and efficient. I only had to get part way through my explanations before they had a solution. They will walk you through a fix or actually connect in and fix the problem for you--or would if you can allow it. I've done it both ways with them. They are always forthcoming with 'how to do this if it happens again' information. I love working with MySQL support.
We also (briefly) considered building in-house. We wanted to avoid complex "Frankenstein" architectures. Combining Pinecone with another NoSQL datastore like DynamoDB would have increased complexity. A single-managed platform (Astra DB) enabled architectural simplicity and strong reliability, allowing Maester’s development team to prioritize high-value, customer-facing features
Each of the products has its own merits and demerits. however since MySQL is a very good documentation and global community its easy to learn and apply in different stages for analytics work. compare to other data bases its simple for setup and work on it. MySQL is cost effective and low risk choice for start up organization makes it more suitable for small to medium enterprises.
We are well aware of the Cassandra architecture and familiar with the open source tooling that Datastax provides the industry (K8sSandra / Stargate) to scale Cassandra on Kubernetes.
Having prior knowledge of Cassandra / Kubernetes means we know that under the hood Astra is built on infinitely scalable technologies. We trust that the foundations that Astra is built on will scale so we know Astra will scale.
Database growth planning is less of a concern with Astra, as it scales automatically.
Currently, they lack fine-grained security at the table level. I suspect that will change over time.
If your load has peaks and valleys; Astra enables only paying for Reads/Writes; thus you do not need to pay for large servers to support peaks in load.