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DBMS > Cassandra vs. Microsoft Azure Cosmos DB vs. TigerGraph

System Properties Comparison Cassandra vs. Microsoft Azure Cosmos DB vs. TigerGraph

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessGlobally distributed, horizontally scalable, multi-model database serviceA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelWide column storeDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score120.36
Rank#11  Overall
#1  Wide column stores
Score31.95
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.87
Rank#165  Overall
#13  Graph DBMS
Websitecassandra.apache.orgazure.microsoft.com/­services/­cosmos-dbwww.tigergraph.com
Technical documentationcassandra.apache.org/­doc/­latestdocs.microsoft.com/­en-us/­azure/­cosmos-dbdocs.tigergraph.com
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookMicrosoft
Initial release200820142017
Current release3.11.6, February 2020
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsBSD
Linux
OS X
Windows
hostedLinux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON typesyes
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.nono
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyes infoAll properties auto-indexed by default
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like query languageSQL-like query language (GSQL)
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Java
Server-side scripts infoStored proceduresnoJavaScriptyes
TriggersyesJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights can be defined down to the item levelRole-based access control
More information provided by the system vendor
CassandraMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTigerGraph
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
TigerGraph’s proven technology supports applications such as fraud detection, customer...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
TigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
NEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
» more

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More resources
CassandraMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTigerGraph
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