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DBMS > AnzoGraph vs. Cassandra vs. Kinetica vs. OmniSci

System Properties Comparison AnzoGraph vs. Cassandra vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameAnzoGraph  Xexclude from comparisonCassandra  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionGraph Analytics Database (OLAP) that is MPP and standards-basedWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelGraph DBMS
RDF store
Wide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#278  Overall
#27  Graph DBMS
#16  RDF stores
Score123.22
Rank#10  Overall
#1  Wide column stores
Score0.53
Rank#199  Overall
#97  Relational DBMS
Score2.08
Rank#105  Overall
#52  Relational DBMS
Websitewww.anzograph.comcassandra.apache.orgwww.kinetica.comwww.omnisci.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcassandra.apache.org/­doc/­latestwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperCambridge SemanticsApache Software Foundation infoApache top level project, originally developped by FacebookKineticaMapD Technologies, Inc.
Initial release2018200820122016
Current release1904.0, April 20193.11.4, February 20196.0V4
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++ and CUDA
Server operating systemsLinuxBSD
Linux
OS X
Windows
LinuxLinux
Data schemeyes infoRDF schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nononono
Secondary indexesnorestricted infoonly equality queries, not always the best performing solutionyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL-like SELECT, DML and DDL statements (CQL)SQL-like DML and DDL statementsyes
APIs and other access methodsgRPC
OpenCypher
RESTful HTTP API
JDBC
SPARQL
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC++
Java
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsno
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsnono
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.yesnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
AnzoGraphCassandraKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsAnzoGraph® is a native, Massively Parallel Processing (MPP) distributed Graph OLAP...
» more
Apache Cassandra is the leading NoSQL, distributed database management system, well...
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Competitive advantagesMost solutions in the graph database market are geared toward Online Transactional...
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No single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosDevelopers can use AnzoGraph to build and execute data warehouse-style BI analytics,...
» more
Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersAnzograph has customers in biotech, pharma, financial services and other verticals.
» more
Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsPricing is based primarily on number of nodes needed to perform workload. AnzoGraph...
» more
Apache license  Pricing for commercial distributions provided by DataStax and available...
» more

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More resources
AnzoGraphCassandraKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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