Companies utilize MongoDB for document-based storage and development, favoring its flexibility, scalability, and ease of use across environments like cloud and on-premises. It supports data analytics, business process management, and web applications. Enhanced security, mobile access, and query optimization are needed, along with better documentation and a competitive pricing model.
We are using the Community Edition of MongoDB.
It is rather expensive.
We are using the Community Edition of MongoDB.
It is rather expensive.
InfluxDB is open-source software that helps developers and enterprises alike to collect, store, process, and visualize time series data and to build next-generation applications. InfluxDB provides monitoring and insight on IoT, application, system, container, and infrastructure quickly and easily without complexities or compromises in scale, speed, or productivity.
We are using the open-source version of InfluxDB.
InfluxDB is open-source, but there are additional costs for scaling.
We are using the open-source version of InfluxDB.
InfluxDB is open-source, but there are additional costs for scaling.
When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive.
The price could be better for the product.
When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive.
The price could be better for the product.
Cassandra setups can vary in difficulty, with some users finding it straightforward and others needing assistance. The installation process can take anywhere from a minute to several months, depending on the complexity and the availability of proper guides.
Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise.
There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly.
Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise.
There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly.
ScyllaDB is an open-source, distributed NoSQL wide-column datastore (a highly scalable NoSQL database), known for its compatibility with Apache Cassandra, and for supporting the same protocols as Cassandra (CQL and Thrift) and the same file formats (SSTable). ScyllaDB is designed for high throughput and low latency, making it suitable for data-intensive applications. Its architecture allows it to deliver remarkable performance on a massive scale, utilizing modern multi-core servers to their fullest potential
I believe that there is a yearly licensing cost and that it's expensive.
It is an expensive tool compared to its competitor.
I believe that there is a yearly licensing cost and that it's expensive.
It is an expensive tool compared to its competitor.
The Oracle NoSQL Database (ONDB) provides network-accessible multiterabyte distributed key/value pair storage with predictable latency. Data is stored in a very flexible key-value format, where the key consists of the combination of a major and minor key (represented as a string) and an associated value (represented as a JSON data format or opaque set of bytes). It offers full Create, Read, Update and Delete (CRUD) operations, with adjustable durability and consistency guarantees. It also provides powerful and flexible transactional model that eases the application development.
The product is expensive and Oracle could work to lower the licensing cost.
The product is expensive and Oracle could work to lower the licensing cost.
We use around half a TB of data and spend approximately $36,000 to $40,000 USD per year on Aerospike.
We use around half a TB of data and spend approximately $36,000 to $40,000 USD per year on Aerospike.
DataStax is recognized for its powerful capabilities in managing substantial data volumes across distributed settings, ensuring scalability and high availability. It excels in real-time analytics and big data workloads, crucial for industries like finance, retail, and technology where rapid data access and resilience are key.
Users commend its performance in scenarios demanding continuous data availability and fast response times, making it ideal for hybrid cloud settings and applications like personalization engines. Valued features include its robust scalability, fault tolerance, and operational simplicity, significantly reducing the management overhead. DataStax has proven to enhance organizational efficiency and productivity, aiding in complex process simplification and improved decision-making.
