Top 10 DevOps Tools For Database Management
In a way, we can see that DevOps is all about efficiency and at the same time providing its customers with the best of the products available. DevOps is a movement to align IT with the ever changing business needs. DevOps is all about CAMS (Culture, Automation, Measurement, and Sharing). DevOps can be defined as the process of identifying and also at the same time to streamline our application development process and the release process. The whole part of DevOps begins with identifying the specifics of our current development, release processes which take too long and those that create bottlenecks.
Time and again, the change process that includes databases is often one of the biggest bottlenecks in the whole process. This is no big surprise, as there are quite a few tools that support DevOps for databases than for applications. This in no way means they aren’t, it is just the right one to be picked up for the job at hand. Having said that, let us take a look at all possible Database Management DevOps tools available, for consumption by Organizations with no further delay. We will try to present each of these tools, explain their features and also provide you with the reasons why you should be choosing (if you are willing to choose it).
Enthusiastic about exploring the skill set of DevOps? Then, have a look at the DevOps Training Course together additional knowledge.
Types of Database Management DevOps Tools:
Here we will take a look at each of the DevOps tools
in specific, and understand the intrinsics of it. Based on its usage, we have also compiled some of the advantages of using it as well. Though the list is exhaustive, it is better you take the time to go through all the available options as this process is believed to be a onetime action for an individual or an Organization and for the impatient, you can definitely go to the tool of your choice directly.
SQLite can be defined as a software library that implements a server-less, self-contained, transactional SQL database engine that goes with absolutely zero configuration. SQLite has had great success as the on-disk file format for quite many desktop applications including the Version Control (SVN) per se. It has found its usage in financial analysis tools, Media cataloguing and etc. Traditional File/Open operations are done via the sqlite3_open() to add the database files and the updates happen automatically as when the application content is revised. The backup API can be put to use for the File/Save_As menu option.
Following are some of the advantages of using SQLite, let us now take a look at each and every one of them:
- Read / Write performance on SQLite database is much faster than the traditional file disk operations.
- Edits on files triggers an overwrite on the portions of the file that are changed as against a complete re-write, ensuring that there is no wear on the SSD drives.
- Read / Write can be done using SQL queries instead of erroneous procedural routines.
- Backward compatibility is ensured with extensions of file format to include newer tables and / or columns.
- Performance can be improved even at the later stages of the implementation, by creating the necessary Indexes – thus avoiding costlier redesign or rewrite activities.
- Application files are fully portable across all platforms (32-bit or a 64-bit).
- Multiple processes attach to a single application file and can read / write without being interfered.
- Database content on SQLite can be viewed by a large variety of third-party tools.
Cassandra from the Apache family of software products is a NoSQL database solution that provides its users the ability to store humongous amounts of data (be it structured or unstructured data). In the Big-data scenario – Cassandra fits into the structured storage category and becomes the only alternative for additional storage options. Facebook has made Cassandra open-sourced in 2008 which combines distributed technologies from Amazon Dynamo key-value store and Google BigTable column based data model to achieve what it is today.
One of the greatest abilities of Cassandra is to scale across multiple data centers in the cloud. Netflix has completely taken advantage of Cassandra’s decentralized model and also its replication strategy to span its deployments across multiple AWS availability zones for resiliency to further avoid any outages as like the infamous AWS outage on 22nd October 2012.
Following are some of the advantages of using Cassandra, let us now take a look at each and every one of them:
- Dynamo and BigTable made complex data structures modelling simpler which would have been difficult in the traditional RDBMS world.
- Caters and Provides a plethora of data modelling use cases.
- No single point of failure – data is distributed across various clusters.
- If the replication strategy is set right, individual node failures can be handled with no downtime at all.
- Data on the cluster is distributed across and further adding additional nodes brings down the possibility of failures – handles the loads efficiently as well.
- Icing on the cake is the out of the box Hadoop integration from 2010.
MySQL as the database that we just know has its own series of threads running to bring itself up in the DevOps market which should enable the ever changing and ever active DevOps world. In such a quest, MySQL there is constant work going on to improve itself with these concepts. The monitoring services provided by MySQL are getting revamped by extending the capabilities of Performance_Schema and Sys_Schema with every release and at the same time trying to add more and more features to MySQL Enterprise Monitor. There are new features getting added with each release to help with the deployment of Infrastructure as Code, where MySQL Shell and adminAPI stand out to be the perfect examples for that. MySQL has tested its InnoDB cluster with several nodes using Puppet and with adminAPI creating and / or joining the cluster was just a breeze.
Following are some of the advantages of using MySQL, let us now take a look at each and every one of them:
- Provides utmost data security as the likes of WordPress, Drupal, Joomla, Facebook and Twitter lean towards MySQL for their data storage.
- Provides on-demand scalability to facilitate management of embedded applications with the smallest footprint possible.
- Delivers high performance with its design to meet even the highest of the demanding applications ensuring optimal speed, full-text indexes, memory caches and with utmost enhanced performances.
- Provides round-the-clock uptime with its specialized cluster servers and also with master / slave replication configurations.
- Provides a comprehensive transactional support with features such as complete atomic, consistent, isolated and durable transactional support. Provides row-level locking for full data integrity.
- Provides complete workflow control irrespective of the underlying operating system with its features as like space expansion, configuration to data design and database administration.
- Reduced cost of ownership, migrating from other databases to MySQL.
- Nonetheless, the flexibility and backing of a strong community in the open-source world.
Related Article: Steps To Set-Up Your MySQL Reporting
MongoDB is one of the best options that individuals and Organizations look forward to opt from the existing set of options (both between NoSQL and RDBMS database management systems). Hence MongoDB excels in the DevOps environment where any accelerating change is readily accepted and often encouraged and also becomes the livelihood of businesses. With the use of MongoDB, companies are able to push killer application within weeks which can scale to millions of users. One of the best reasons developers love MongoDB relative to RDBMS databases, that require substantial time and effort spent upfront is that they can get started quickly and make changes iteratively as they go. It was developed for Horizontal scalability and High availability, hence the adoption of MongoDB from the operations side as well.
Over the years, MongoDB has added more and more features as like granular alerting, backup, disaster recovery, automated deployment, provisioning and loads of maintenance features. MongoDB Atlas a new cloud database service that allows you and your application to be up and running with MongoDB in Public cloud within minutes. You can pay as you use MongoDB Atlas and alongside that, you can scale up and down as you need with almost no downtime, full security and with the best performance.
Related Article: MongoDB Vs MySQL - Which Is A Better Database?
Following are some of the advantages of using MongoDB, let us now take a look at each and every one of them:
- One of the best advantages of using MongoDB is the ease of its use.
- The next advantage is that it comes with the easiest of the installations possible.
- Provides an easier way to index your existing documents.
- Provides a performant query language altogether.
- Provides ways and means to scale further.
- Provides many ways to become productive from the moment of implementation.
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PostgreSQL often termed as just Postgres is an object relational database management system (ORDBMS) with a definite emphasis on extensibility and standards-compliance. With each and every release that Postgres comes up with, it gets better as a product at addressing needs of the developers, database and system administrators. Postgres can be your candidate technology for managing your databases if your business is dynamic in nature that delivers high quality products or services. It does provide its support to more complex data types as like Array and JSON. Has the ability to handle workload for medium web applications to large data warehousing projects with loads and loads of concurrent users.
Following are some of the advantages of using PostgreSQL, let us now take a look at each and every one of them:
- One of the biggest advantages of using PostgreSQL is that it is free and open Source.
- Provides transactional support for schema migration.
- Provides large variety of custom functionality and plugin.
- Great overall performance - perfect for system with low hardware specs - it is light and well optimized.
- Huge community backing with a great support.
Related Article: MongoDB Vs PostgreSQL Comparison
Following are some of the advantages of using MariaDB, let us now take a look at each and every one of them:
- One of the best advantages of using MariaDB is that the database is so lite and so fast.
- If you are well aware of MySQL or SQLite, then using MariaDB is cakewalk.
- Provides a complete feature-set for a relational database.
- Faster and safer replications and these can be managed in parallel as well.
- Indexes for the heap memory engine considerably faster.
OrientDB is an open source NoSQL database management system that was written in Java. Alternatives to RDBMS have been existent for many years but they have been used primarily in use cases such cases as Telecommunications, Medicine, CAD and the like. Not a surprise, but the larger web application giants like Google, Facebook, LinkedIn, Amazon and etc. have been using NoSQL based solutions for their production environments. It is a document based database but the relationships are all managed as a graph rather than the relationships in tables and the like. OrientDB is a Distributed Graph Database engine with the flexibility of a Document Database all in one NoSQL database. There are many areas that the traditional RDBMS haven’t been able to cater but these NoSQL databases as like OrientDB was able to answer – such as Performance, Scalability, Smaller footprint, Flexibility in Schemas.
Following are some of the advantages of using OrientDB, let us now take a look at each and every one of them:
- The provision of well documented documentation helps beginners with absolutely no knowledge on graph background grasp graph theory and OrientDB practice.
- Since that it is built on Java, customizing various implementation on demand should be something that you might want to experiment.
- It has a very easy installation process for the database itself.
- Its close resemblance to relational SQL makes it very easy for the developers to adapt
- The results from these queries are provided extremely fast.
- This database becomes very unique as it has both the graph and document database characteristics.
- Embedded maps make it very useful.
HBase is an open source, multidimensional, distributed, and scalable NoSQL database written in Java. HBase runs on top of HDFS (Hadoop Distributed File System) and provides BigTable like capabilities to Hadoop. It is designed to provide a fault tolerant way of storing large collection of sparse data sets. Since, HBase achieves high throughput and low latency by providing faster Read/Write Access on huge data sets. Therefore, HBase is the choice for the applications which require fast & random access to large amount of data. It provides compression, in-memory operations and Bloom filters (data structure which tells whether a value is present in a set or not) to fulfill the requirement of fast and random read-writes.
Related Article: Introduction To HBase For Hadoop
Following are some of the advantages of using HBase, let us now take a look at each and every one of them:
- The capacity, storage and processing of bulk data, in such a robust manner.
- Flexible schema as we can add n numbers of attributes in a column family at run time without declaring them at the time of table creation.
- Fault tolerance- As we know mapReduce runs internally for all kind of operation, In case of failure scenarios mapper and reducer job handles it.
- Versioning of records- Default feature for versioning is available. If that is enabled, hbase updates the record and also keeps the old record data.
- It is considered to be a powerful NoSQL tool, which helps in data management, and provides an ease in fast retrieval and manipulation of the same.
- It is better than traditional file system, because of the efficiency, which it provides for the same amount of system, and major advantage is the use of commodity hardware, to store the data.
- Also it is fault tolerant, as it keeps replica of the data stored, so in case of failure, the replica can be used.
Couchbase is a NoSQL database that is specifically engineered to meet the ever changing needs of business to scale, and to provide high performances consistently and also with a track record to be always reliable and available. These are nothing but just the data mobility requirements of any mission critical high performance applications. Having said that, the following are the best possible features that tends to define the DevOps strategy in the database world, namely – Schema flexibility, No impedance mismatch and Scalability.
NoSQL document databases as like Couchbase provides the schema flexibility to the developers to operate over the JSON directly and lets them derive meaning out of it. As the developers are allowed to decide upon the JSON structures, curtails the need of any ORM technology as well and hence cuts down the impedance mismatch between the domain classes database structure. NoSQL databases run on the convention on scaling up to the needs of the businesses that demands for it and hence ensures Scalability is delivered from the day it is chosen and hence proves trustworthy over the traditional RDBMS database technologies.
Following are some of the advantages of using Couchbase, let us now take a look at each and every one of them:
- It provides a homogenous distributed architecture with no masters and slaves.
- Provides a SQL like query language to query the JSON documents.
- Provides a feature to auto shard using vBuckets.
- Works with a memory first architecture ensuring the reduction of need of an additional caching layer.
- Provides multiple SDKs and provides cross data center replication with much more ease.
- Ease of implementation and configuration.
- Command line tools are easy to use for adhoc tasks.
- Least maintenance from administration point of view.
- Latency compensation. No need to worry about network latency and stability - every action can be stored on a local DB, which then will be synced automatically to the main DB, when the network is available again.
- Ability to develop "optimistic" UIs. No need for a "loading" spinner on every user action. Again - just store on a local DB and the changes will propagate to the main DB ASAP.
Following are some of the advantages of using ArangoDB, let us now take a look at each and every one of them:
- AragonDB has got a great backing from its community which is great and really helpful.
- The AQL query language that is supported by the database is really very easy to use and at yet very powerful.
- AragonDB lets you choose any of the use-case and also lets you replace an existing database for your use-case without much difficulty.
- It has the ability to act as a schema less document store or as a graph database with the RDBMS features like JOINS.
- It provides HTTP REST Endpoints and also provides GraphQL.
- Provides a multi-model approach which is great and at the same time enables an individual to fulfill all the project requirements with just one database product.
In this article, we have tried to show a complete listing of all the possible Database Management DevOps tools available as on date with a brief about the tool itself and why an individual or an organization should be choosing it for their own use. Hope the details provided are all that you were looking for and keep us updated on what can be changed, improved or corrected (if any).
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