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DBMS > AnzoGraph vs. EsgynDB vs. Google Search Appliance vs. Riak KV

System Properties Comparison AnzoGraph vs. EsgynDB vs. Google Search Appliance vs. Riak KV

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Editorial information provided by DB-Engines
NameAnzoGraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionGraph Analytics Database (OLAP) that is MPP and standards-basedEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Distributed, fault tolerant key-value store
Primary database modelGraph DBMS
RDF store
Relational DBMSSearch engineKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#289  Overall
#26  Graph DBMS
#16  RDF stores
Score0.16
Rank#265  Overall
#125  Relational DBMS
Score2.81
Rank#91  Overall
#10  Search engines
Score5.39
Rank#59  Overall
#9  Key-value stores
Websitewww.anzograph.comesgyn.comenterprise.google.com/­search/­products/­gsa.htmlbasho.com/­products/­riak-kv
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmesgyn.com/­developerssupport.google.com/­gsa
DeveloperCambridge SemanticsEsgynGoogleBasho Technologies
Initial release2018201520022009
Current release1904.0, April 20192.1.0, April 2015
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache version 2, commercial enterprise edition
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 languageC++, JavaErlang
Server operating systemsLinuxLinuxLinux
OS X
Data schemeyes infoRDF schemasyesschema-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.nononono
Secondary indexesnoyesrestricted
SQL infoSupport of SQLSPARQL is used as query languageyesnono
APIs and other access methodsgRPC
JDBC
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
Administrative API
Browser interface
HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesC++
Java
All languages supporting JDBC/ODBC/ADO.NetC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsJava Stored ProceduresJavaScript and Erlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersMaster-slave replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardUser authentication via various security protocolsno
More information provided by the system vendor
AnzoGraphEsgynDBGoogle Search ApplianceRiak KV
Specific characteristicsAnzoGraph® is a native, Massively Parallel Processing (MPP) distributed Graph OLAP...
» more
Capabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
Competitive advantagesMost solutions in the graph database market are geared toward Online Transactional...
» more
EsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Typical application scenariosDevelopers can use AnzoGraph to build and execute data warehouse-style BI analytics,...
» more
Ideally suited to scenarios where high speed continuous data ingestion is required...
» more
Key customersAnzograph has customers in biotech, pharma, financial services and other verticals.
» more
EsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
Licensing and pricing modelsPricing is based primarily on number of nodes needed to perform workload. AnzoGraph...
» more
EsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AnzoGraphEsgynDBGoogle Search ApplianceRiak KV
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