A non-relational database that stores data utilizing a straightforward key-value method is referred to as a key-value database. This type of database is also referred to as a key-value store on occasion. It behaves like a dictionary in that it can store, retrieve, and update associative arrays. Dictionary entries can be thought of as objects or records, and they often contain a wide variety of fields in which to store data. So let’s find what are the best free key-value database software.
Keys and values can take the form of anything, from the most fundamental to the most complex composite things. Key-value databases are extremely partitionable, and this property enables horizontal growth in a way that is not possible with other types of databases.
When would you use a free key-value database software rather than another type?
A key-value database has the potential to be volatile if your application manages a large number of relatively infrequent but continuous reads and writes. It enables rapid access to the contents of the memory.
When saving crucial data such as client information, websites with the URL as the key and the webpage as the value, shopping-cart contents, product categories, and e-commerce product details, it is important to remember that the key is the URL, and the value is the webpage.
When it comes to applications that do not require regular updates or the ability to process complex queries
Which are the best free key-value database software, and where can I find them?
The list that follows contains reviews written by actual customers of the top free key-value database systems currently available on the market. For a piece of software to qualify for inclusion on this list, it must be both free and:
- Offer data storage
- The data should be stored and structured as a single value that is mapped to a key.
- Let users retrieve data
Hbase is a database management system (DBMS) that is column-oriented and non-relational. It is based on the Hadoop Distributed File System (HDFS). It offers a fault-tolerant technique of preserving sparse data sets, which are common in many applications that deal with massive data. Real-time data processing or unfettered read/write access to massive volumes of data are both excellent uses for this technology.
Java is the language used to write Hbase apps, as well as applications for Apache MapReduce. Additionally, it facilitates the building of applications in the Apache Avro, REST, and Thrift programming languages.
Characteristics of Hbase:
The tables are made up of different regions that are all hosted by different RegionServers and are spread out throughout the numerous RegionServers that are located on different DataNodes. Hbase allows for the splitting of these regions into smaller subregions either automatically or manually after they reach a certain size. This is done in order to reduce the amount of I/O latency and overhead.
A log-structured merge tree, also known as an LSM tree, serves as the primary data storage architecture. This tree routinely combines multiple smaller files into a single larger file.
Hive is a query engine that allows for the batch processing of enormous amounts of data to enable fault-tolerant big data applications. Hbase works nicely with Hive.
What users like:
The fact that it makes your work easier is by far the most helpful aspect. The advantage of utilizing Hbase is the fact that it offers a friendly user interface. The fact that it offers a wide choice of commands is yet another advantageous aspect. Users that are tasked with managing huge amounts of data will find that working with Hbase, which is a NoSQL database, is to their advantage.
This technology offers a significant advantage in this arena, and there is little doubt that it will take the lead in the years to come. This technique proves to be a lifesaver when working with a significant quantity and velocity of data at the same time. In place of more traditional technologies, I wholeheartedly endorse the utilization of Hbase.
What users don’t like:
“Commands are difficult to work with because we have to employ the appropriate Java classes in order to apply actions such as filtering.”
Aerospike is a cloud-based, on-premise NoSQL database platform that enables businesses in e-commerce, retail, online gaming, telecoms, and advertising to simplify multi-site clustering, cross datacenter replication, and load balancing on a single platform. These are just some of the processes that can be simplified with Aerospike. Encryption, authentication, whitelisting, and role-based access controls are some of the data protection methods it offers.
The cluster management technology that Aerospike provides automatically recognizes nodes entering and departing the cluster. It also re-replicates data whenever nodes are added or deleted, which ensures that the system will continue to work correctly in the event of hardware problems. Cross datacenter replication, often known as XDR, is a process that copies and synchronizes data across a number of different physical locations. Additionally, businesses have the ability to develop and execute audit trails in order to log failed database operations, security violations, authentication processes, user management procedures, and other similar activities.
Aerospike has the following features:
The database was developed using C, and its underlying structure is a shared-nothing (SN) architecture. It has a data storage layer, a self-managed distribution layer, and a cluster-aware client layer.
The software consists of two additional programs that are referred to as Defragmenter and Evictor. Defragmenter is responsible for deleting damaged data blocks, whereas Evictor is responsible for freeing up RAM space by eliminating references to records that have since been deleted.
It makes it possible to store, index, and query geospatial data that is encoded using the GeoJSON format.
What users like:
“Aerospike assists in the storage of data both as cached and in the database with full XDR functionality. It is a very good database since it combines the power of Redis with queries that are SQL compliant.
What users don’t like:
Although support is helpful, determining the appropriate size of an Aerospike cluster can be challenging.
ScyllaDB is a free and open-source NoSQL database that is distributed over multiple nodes. It was designed to be compatible with Apache Cassandra while simultaneously providing significantly higher throughputs and lower latencies. Although it is an entirely new implementation using the C++20 programming language, it is compatible with the same file formats and protocols that Cassandra does.
Scylla includes the Amazon DynamoDB API and is compatible with the protocols used by Cassandra. The CQL protocol and queries, Nodetool, SSTables and compaction algorithms, and even JMX support are all quite similar in ScyllaDB and Cassandra. ScyllaDB is compatible with several open-source apps and connectors that are analogous to those that are compatible with Cassandra. Some examples of these are JanusGraph, Spark, Kafka, Presto, KairosDB, Kong, and others.
ScyllaDB has the following features:
Users will be able to easily migrate their data from their existing Cassandra clusters to ScyllaDB with the assistance of the Spark-based ScyllaDB Migrator and Migration Guide that is included in the product.
ScyllaDB is configured to achieve nearly complete usage of the central processing unit (CPU), and each operation has a priority class associated with it.
By utilizing the one-of-a-kind Workload Prioritization functionality, users are able to assign a relative priority to the workloads of individual users in a manner that is clearly role-based. As a consequence of this, companies are now able to safely run analytical workloads alongside transactional workloads while also streamlining and simplifying their data architecture.
What users like:
“Database administration is made easier to handle thanks to the system’s simplicity and intuitive interface. Because Cassandra and DynamoDB are compatible with one another, we were able to interface with the database using CQL drivers. One more fascinating quality of Scylla is the speed with which it replicates.
ScyllaDB has a low number of internal database operations, which contributes to its excellent performance, which can handle millions of queries per second on each Scylla node. Scylla offers superior monitoring capabilities because to its integration with Prometheus, Loki, and Grafana.
What users don’t like:
Reading a CPP stack trace is more difficult than reading a Java one, but slack communities are always willing to provide a helping hand. Scylla may require improvements in certain circumstances, such as the activation of paging, however avoiding code anti-patterns is almost always the best option.
There are so many options, but so little time.
Several database management software alternatives can match your database administration requirements. There are a variety of other kinds of software that are very similar, and they range in price, operating platform, and specific requirements. Choose the option that caters to your requirements the most.
A strong database can act as the basis for a great many different kinds of commercial applications. Discover how database management can help support the strategy you choose for data management.
These were the best free key-value database software. See our other articles to find out more great tips and articles about technology and the future.