DBMS > Apache Pinot vs. Cassandra vs. MarkLogic
System Properties Comparison Apache Pinot vs. Cassandra vs. MarkLogic
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|Editorial information provided by DB-Engines
|Apache Pinot Xexclude from comparison
|Cassandra Xexclude from comparison
|MarkLogic Xexclude from comparison
|Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency
|Wide-column store based on ideas of BigTable and DynamoDB Optimized for write access
|Operational and transactional Enterprise NoSQL database
|Primary database model
|Wide column store
Native XML DBMS
RDF store as of version 7
|Secondary database models
|Vector DBMS starting with release V5
|Apache Software Foundation and contributors
|Apache Software Foundation Apache top level project, originally developped by Facebook
|1.0.0, September 2023
|4.1.3, July 2023
|11.0, December 2022
|License Commercial or Open Source
|Open Source Apache Version 2.0
|Open Source Apache version 2
|commercial restricted free version is available
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
Providers of DBaaS offerings, please contact us to be listed.
|Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
|Server operating systems
|All OS with a Java JDK11 or higher
|schema-free Schema can be enforced
|Typing predefined data types such as float or date
|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.
|restricted only equality queries, not always the best performing solution
|SQL Support of SQL
|SQL-like query language
|SQL-like SELECT, DML and DDL statements (CQL)
|APIs and other access methods
|Proprietary protocol CQL (Cassandra Query Language, an SQL-like language)
Node.js Client API
proprietary Optic API Proprietary Query API, introduced with version 9
RESTful HTTP API
|Supported programming languages
|Server-side scripts Stored procedures
|Partitioning methods Methods for storing different data on different nodes
|Sharding no "single point of failure"
|Replication methods Methods for redundantly storing data on multiple nodes
|selectable replication factor Representation of geographical distribution of servers is possible
|MapReduce Offers an API for user-defined Map/Reduce methods
|yes via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
|Consistency concepts Methods to ensure consistency in a distributed system
Immediate Consistency can be individually decided for each write operation
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|no Atomicity and isolation are supported for single operations
|ACID can act as a resource manager in an XA/JTA transaction
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|yes, with Range Indexes
|User concepts Access control
|Access rights for users can be defined per object
|Role-based access control at the document and subdocument levels
|More information provided by the system vendor
|Apache Cassandra is the leading NoSQL, distributed database management system, well...
|No single point of failure ensures 100% availability . Operational simplicity for...
|Typical application scenarios
|Internet of Things (IOT), fraud detection applications, recommendation engines, product...
|Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
|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,
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|Recent citations in the news
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