DBMS > Cassandra vs. Prometheus vs. ScyllaDB
System Properties Comparison Cassandra vs. Prometheus vs. ScyllaDB
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|Editorial information provided by DB-Engines|
|Name||Cassandra Xexclude from comparison||Prometheus Xexclude from comparison||ScyllaDB Xexclude from comparison|
|Description||Wide-column store based on ideas of BigTable and DynamoDB Optimized for write access||Open-source TimeSeries DBMS and monitoring system||Cassandra and DynamoDB compatible wide column store|
|Primary database model||Wide column store||Time Series DBMS||Wide column store|
|Secondary database models||Key-value store|
|Developer||Apache Software Foundation Apache top level project, originally developped by Facebook||ScyllaDB|
|Current release||4.1.0, December 2022||ScyllaDB Open Source 5.0, July 2022|
|License Commercial or Open Source||Open Source Apache version 2||Open Source Apache 2.0||Open Source Open Source (AGPL), commercial license available|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||BSD|
|Typing predefined data types such as float or date||yes||Numeric data only||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 Import of XML data possible||no|
|Secondary indexes||restricted only equality queries, not always the best performing solution||no||yes cluster global secondary indices|
|SQL Support of SQL||SQL-like SELECT, DML and DDL statements (CQL)||no||SQL-like DML and DDL statements (CQL)|
|APIs and other access methods||Proprietary protocol CQL (Cassandra Query Language, an SQL-like language)|
|RESTful HTTP/JSON API||Proprietary protocol (CQL) compatible with CQL (Cassandra Query Language, an SQL-like language)|
RESTful HTTP API (DynamoDB compatible)
|Supported programming languages||C#|
|Server-side scripts Stored procedures||no||no||yes, Lua|
|Partitioning methods Methods for storing different data on different nodes||Sharding no "single point of failure"||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor Representation of geographical distribution of servers is possible||yes by Federation||selectable replication factor Representation of geographical distribution of servers is possible|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Immediate Consistency can be individually decided for each write operation
Tunable Consistency can be individually decided for each write operation
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no Atomicity and isolation are supported for single operations||no||no Atomicity and isolation are supported for single operations|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no||yes in-memory tables|
|User concepts Access control||Access rights for users can be defined per object||no||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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|Related products and services|
|3rd parties||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
CData: Connect to Big Data & NoSQL through standard Drivers.
Instaclustr: Hosted & Managed Apache Cassandra as a Service
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
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