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DBMS > Amazon DocumentDB vs. Apache Cassandra vs. HEAVY.AI vs. RavenDB

System Properties Comparison Amazon DocumentDB vs. Apache Cassandra vs. HEAVY.AI vs. RavenDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Cassandra  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument storeWide column storeRelational DBMSDocument store
Secondary database modelsVector DBMS infostarting with release V5Spatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score98.94
Rank#11  Overall
#1  Wide column stores
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Websiteaws.amazon.com/­documentdbcassandra.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
ravendb.net
Technical documentationaws.amazon.com/­documentdb/­resourcescassandra.apache.org/­doc/­latestdocs.heavy.airavendb.net/­docs
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookHEAVY.AI, Inc.Hibernating Rhinos
Initial release2019200820162010
Current release5.0-rc1, July 20245.10, January 20225.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2; enterprise edition availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaC++ and CUDAC#
Server operating systemshostedBSD
Linux
OS X
Windows
LinuxLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionnoyes
SQL infoSupport of SQLnoSQL-like SELECT, DML and DDL statements (CQL)yesSQL-like query language (RQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBC
ODBC
Thrift
Vega
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"Sharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoAtomicity and isolation are supported for single operationsnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per objectfine grained access rights according to SQL-standardAuthorization levels configured per client per database
More information provided by the system vendor
Amazon DocumentDBApache CassandraHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022RavenDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsApache Cassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
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More resources
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