Cassandra vs Elasticsearch

Differences Between Cassandra vs Elasticsearch

Apache Cassandra is an open source and freely distributed No-SQL database management system developed and designed to handle large-scale data across distributed commodity servers. Apache Cassandra was developed by Apache Software Foundation which was initially released in the year 2008. It supports cross-platform Operating System Cassandra database provides high availability and zero single points of failure. It also wins in the case of Scalability.

Apache Elasticsearch is a Search Engine and NoSQL database system based on Apache Lucene developed by Elastic and licensed under Apache License 2.0. Elasticsearch is completely written using Java programming language. Elasticsearch provides a distributed full-text search engine with schema-less JSON structured documents. Cassandra was developed by Shay Banon.

Cassandra a No SQL database’s main objectives are such as simple design structures, high availability and horizontal scaling etc. Compared to relational databases, No SQL databases support powerful queries and transactions by following ACID (Atomicity, Consistency, Isolation, and Durability) properties.

Elasticsearch is a RESTful search that is based on REST (Representational State Transfer) architectural APIs which is highly useful in text-based analysis and filtering of required information from the structured or unstructured data.

Apache Cassandra is having elastic scalability, fast linear performance, easily distributed architecture, faster queries and transactions support, faster read and write capabilities. It was initially developed at Facebook for searching the messages in Inbox and was made open source later by Facebook. Cassandra has a Query language called CQL which is Cassandra Query language.

Elasticsearch has numerous applications in the field of data analytics where it can be integrated with multiple tools in the terms of data storage and indexing. Indexes can be created and queries can be run in an Elastic search by installing and configuring the Elasticsearch. It is mainly based on REST API.

Head to Head Comparison Between Cassandra vs Elasticsearch

Below is the Top 10 Comparison between the Cassandra vs Elasticsearch

Key Differences Between Cassandra vs Elasticsearch

Below are the lists of points, describe the key Differences Between Cassandra vs Elasticsearch

• The Apache Cassandra has main core components such as Node, data centers, memory tables, clusters, commit logs etc. whereas the Cassandra Query Language is used for read-write operations. Elasticsearch is based on Lucene and will be having powerful indexing search facility with a full-text searching feature.
• Apache Cassandra Node stores data in it and its data centers consist of all the nodes whereas Elasticsearch exposes Java and HTTP APIs in the form of HTTP GET method to provide searching capability in the form of data retrieval.
• Apache Cassandra cluster is distributed across different machines to handle failures and maintains the replicas to maintain the operations and transactions with high availability whereas Elasticsearch works on Restful distributed search by sending data as documents using the APIs (Application Programming Interfaces).
• Apache Cassandra has replication factor the defines the number of copies of data across different machines to receive multiple copies of data to maintain fault tolerance and high availability whereas Elasticsearch has distributed document storage to power the applications with JSON oriented document platform.
• Apache Cassandra has a facility to add columns whenever or wherever wanted apart from the tradition relational based database systems whereas Elasticsearch can add data in the form of documents in JSON formats through REST-based APIs.,
• Apache Cassandra deals with unstructured data and has a flexible schema to handle data read-write operations whereas Elasticsearch deals with JSON based documented format data.
• Apache Cassandra is wide column based storage architecture based on the Big Data technologies and Dynamo DB database whereas Elasticsearch is distributed and Restful based modern search engine based on Apache Lucene.
• Apache Cassandra scored less in terms of DB engine ranking in terms of popularity and trending whereas Elasticsearch has more rankings compared to Cassandra.
• Apache Cassandra was initially released in February 2008 whereas Elasticsearch was initially released on April 2008 and both Cassandra and Elasticsearch were written in Java.
• Apache Cassandra supports Linux, OS X, Windows, BSD Operating Systems whereas Elasticsearch supports all operating systems with Java Virtual machine installed.
• Apache Cassandra supports most of the popular object-oriented programming languages such as C#, C++, Java, Go, Erlang, JavaScript, Perl, PHP, Python, Ruby, Scala etc., whereas Elasticsearch supports.NET, Groovy, Java, JavaScript, Perl, PHP, Python.

Comparison Table between Cassandra vs Elasticsearch

Below are the lists of points, describe the Differences Between Cassandra vs Elasticsearch

Conclusion – Cassandra vs Elasticsearch

The Apache Cassandra is No SQL based database system and Elasticsearch is a search engine and No SQL based database system, where Elasticsearch is clearly a winner in terms of latest object-oriented or No SQL databases is based on Lucene developed by Apache which is a good index based search engine. In terms of performance scalability and the features, Apache Cassandra can be considered the best database in the case of large amounts of data to be handled.

In most of the cases, Elasticsearch has been the best option for No SQL database system as it is having the added feature of search engine capability compared to the other No SQL database systems in the market.

The advantages of Elasticsearch is that it was based on Apache Lucene which is a data retrieval library completely developed in Java which is a fully featured text-based search engine with high-performance indexing and scalability. This gives much popularity for the Elasticsearch compared to the Cassandra.

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