DBMS > Cassandra vs. Sadas Engine
System Properties Comparison Cassandra vs. Sadas Engine
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|Editorial information provided by DB-Engines|
|Name||Cassandra Xexclude from comparison||Sadas Engine Xexclude from comparison|
|Description||Wide-column store based on ideas of BigTable and DynamoDB Optimized for write access||SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments|
|Primary database model||Wide column store||Relational DBMS|
|Developer||Apache Software Foundation Apache top level project, originally developped by Facebook||SADAS s.r.l.|
|Current release||4.1.0, December 2022||8.0|
|License Commercial or Open Source||Open Source Apache version 2||commercial free trial version available|
|Cloud-based only Only available as a cloud service||no||no|
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|Server operating systems||BSD|
|Typing predefined data types such as float or date||yes||yes|
|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||no|
|Secondary indexes||restricted only equality queries, not always the best performing solution||yes|
|SQL Support of SQL||SQL-like SELECT, DML and DDL statements (CQL)||yes|
|APIs and other access methods||Proprietary protocol CQL (Cassandra Query Language, an SQL-like language)|
|Supported programming languages||C#|
|Server-side scripts Stored procedures||no||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding no "single point of failure"||horizontal partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor Representation of geographical distribution of servers is possible||none|
|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
|Foreign keys Referential integrity||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no Atomicity and isolation are supported for single operations|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes managed by 'Learn by Usage'|
|User concepts Access control||Access rights for users can be defined per object||Access rights for users, groups and roles according to SQL-standard|
|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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|Related products and services|
|3rd parties||Cassandra Forward event: Want to level up your Cassandra game? Watch now replays of the March 2023 sessions.|
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