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DBMS > AnzoGraph vs. ClickHouse vs. Datastax Enterprise vs. TerarkDB

System Properties Comparison AnzoGraph vs. ClickHouse vs. Datastax Enterprise vs. TerarkDB

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Editorial information provided by DB-Engines
NameAnzoGraph  Xexclude from comparisonClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionGraph Analytics Database (OLAP) that is MPP and standards-basedColumn-oriented Relational DBMS powering YandexDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelGraph DBMS
RDF store
Relational DBMSWide column storeKey-value store
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#284  Overall
#26  Graph DBMS
#16  RDF stores
Score3.38
Rank#81  Overall
#41  Relational DBMS
Score8.82
Rank#43  Overall
#4  Wide column stores
Score0.04
Rank#319  Overall
#53  Key-value stores
Websitewww.anzograph.comclickhouse.yandexwww.datastax.com/­products/­datastax-enterprisegithub.com/­Terark/­terarkdb
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmclickhouse.yandex/­docsdocs.datastax.comgithub.com/­Terark/­terarkdb/­wiki
DeveloperCambridge SemanticsYandex LLCDataStaxTerark
Initial release2018201620112016
Current release1904.0, April 2019v19.13.3.26, August 20196.7, December 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinuxLinux
OS X
Data schemeyes infoRDF schemasschema-freeschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesnoyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statements (CQL); Spark SQLno
APIs and other access methodsgRPC
JDBC
OpenCypher
RESTful HTTP API
SPARQL
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
C++ API
Java API
Supported programming languagesC++
Java
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integrityno infonot needed in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsno
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.yesyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectno
More information provided by the system vendor
AnzoGraphClickHouseDatastax EnterpriseTerarkDB
Specific characteristicsAnzoGraph® is a native, Massively Parallel Processing (MPP) distributed Graph OLAP...
» more
100% continuous availability, real-time, distributed, massive scale data management...
» more
Competitive advantagesMost solutions in the graph database market are geared toward Online Transactional...
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Supporting the following application requirements: Contextual: complete data layer...
» more
Typical application scenariosDevelopers can use AnzoGraph to build and execute data warehouse-style BI analytics,...
» more
Applications that must serve contextual information and be always-on, distributed,...
» more
Key customersAnzograph has customers in biotech, pharma, financial services and other verticals.
» more
Capital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsPricing is based primarily on number of nodes needed to perform workload. AnzoGraph...
» more
Annual subscription
» more

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More resources
AnzoGraphClickHouseDatastax EnterpriseTerarkDB
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