DBMS > Cassandra vs. Databricks vs. NSDb
System Properties Comparison Cassandra vs. Databricks vs. NSDb
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|Editorial information provided by DB-Engines|
|Name||Cassandra Xexclude from comparison||Databricks Xexclude from comparison||NSDb Xexclude from comparison|
|Description||Wide-column store based on ideas of BigTable and DynamoDB Optimized for write access||The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.||Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes|
|Primary database model||Wide column store||Document store|
|Time Series DBMS|
|Developer||Apache Software Foundation Apache top level project, originally developped by Facebook||Databricks|
|Current release||4.1.0, December 2022|
|License Commercial or Open Source||Open Source Apache version 2||Open Source||Open Source Apache Version 2.0|
|Cloud-based only Only available as a cloud service||no||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||Java||Java, Scala|
|Server operating systems||BSD|
|Data scheme||schema-free||Flexible Schema (defined schema, partial schema, schema free)|
|Typing predefined data types such as float or date||yes||yes: int, bigint, decimal, string|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes||no|
|Secondary indexes||restricted only equality queries, not always the best performing solution||yes||all fields are automatically indexed|
|SQL Support of SQL||SQL-like SELECT, DML and DDL statements (CQL)||with Databricks SQL||SQL-like query language|
|APIs and other access methods||Proprietary protocol CQL (Cassandra Query Language, an SQL-like language)|
RESTful HTTP API
|Supported programming languages||C#|
|Server-side scripts Stored procedures||no||user defined functions and aggregates||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding no "single point of failure"||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor Representation of geographical distribution of servers is possible||yes|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Immediate Consistency can be individually decided for each write operation
|Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no Atomicity and isolation are supported for single operations||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||Using Apache Lucene|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no|
|User concepts Access control||Access rights for users can be defined per object|
|More information provided by the system vendor|
|Specific characteristics||Apache Cassandra is the leading NoSQL, distributed database management system, well...|
|Competitive advantages||No single point of failure ensures 100% availability . Operational simplicity for...|
|Typical application scenarios||Internet of Things (IOT), fraud detection applications, recommendation engines, product...|
|Key customers||Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...|
|Market metrics||Cassandra is used by 40% of the Fortune 100.|
|Licensing and pricing models||Apache licenseÂ Pricing for commercial distributions provided by DataStax and available...|
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We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
Instaclustr: Hosted & Managed Apache Cassandra as a Service
Aiven for Apache Cassandra: A truly distributed database that can handle large volumes of writes.
DataStax Cassandra: Zero touch operations, configuration and management with true autoscaling
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
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|Conferences and events|
Building scalable real-time apps with AstraDB (DBaaS) and Vaadin
|Recent citations in the news|
Supercharging Cassandra NoSQL For Machine Learning
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The Linux Foundation Announces Conference Schedule for ...
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provided by Google News
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